Course Number

CE5111

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Urban Transportation Planning

Learning Mode

Lectures

Learning Objectives

Complies with PLO number – 1, 2, and 4
1. Understand the concept of highway geometry and design controls;
2. Understand the factors influencing road safety;
3. Learn practices and technologies to mitigate road accidents

Course Description

The course mainly focuses on factors influencing road geometry and its relation with road safety. The student will learn design factors that need to be considered in highway geometric design based on different expected road users. Need to understand characteristics of drivers, pedestrians, vehicles and road will be illustrated. Students will learn impact of electric and autonomous vehicles on geometric road design.

Course Outline

Introduction and scope; Definition and basic principles; Transportation problems; Types of models; Planning methodologies; Conventional transportation planning process; Travel demand modelling and forecasting; Trip generation - regression, category analysis; Trip distribution - growth factor, Fratar and Furness methods, calibration of Gravity model, intervening opportunities model, competing opportunities model, LP model; Modal split models - aggregate and disaggregate models, discriminant, logit and probit analysis; Traffic Assignment - route building, capacity restraint, multipath, incremental and equilibrium assignment; Graph theory applications in transport network analysis; Urban goods movement; Land use - transport models: historical development, case studies, ISGLUTI Study, recent developments. Laboratory Component: Solving case study problems in travel demand modelling with the help of transportation planning and econometric packages. Developing computer programs for the calibration of travel demand, land-use and land use-transport models.

Learning Outcome

At the end of the course, student would be able to:
1. Ability to access road safety and prepare road safety audit report.
2. Ability to design road geometry.

Assessment Method

Assignments, Quizzes, Mid-semester examination and End-semester examination.

References:

1. Hutchinson, B.G., Principles of Urban Transport Systems Planning, McGraw Hill, New York, 1974.
2. Ortuzar, J. and Willumsen, L.G., Modelling Transport, Wiley, Chinchestor, 1994.
3. Oppenheim, N., Urban Travel Demand Modeling: From Individual Choices to General Equilibrium, Wiley, New York, 1995.
4. Thomas, R., Traffic Assignment Techniques, Avebury Technical, Aldershot, 1991.
5. Taniguchi, E., Thompson, R.G., Yamada, T. and Van Duin, R., City Logistics - Network Modelling and Intelligent Transport Systems, Elsevier, Pergamon, Oxford, 2001.
6. Bruton, M.J., Introduction to Transportation Planning, Hutchinson, London, 1985.
7. Dickey, J.W., Metropolitan Transportation Planning, Tata McGraw Hill, New Delhi, 1975.

Course Number

CE5112

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Pavement Analysis and Design

Learning Mode

Lectures

Learning Objectives

Complies with PLO number – 1, 2, and 4
To impart knowledge to students related to analysis and design of flexible and rigid pavements for highways.

Course Description

In this course analysis and design of different type of pavements will be covered. The course will help students understand stresses in pavements. The practices used in road construction industry in design and drawing pavement cross-sections.

Course Outline

Introduction: Components of pavement structure, importance of subgrade soil, properties on pavement performance. Functions of subgrade, subbase, base course and wearing course.
Stresses in Flexible Pavements: Stresses in homogeneous masses and layered systems, deflections, shear failures, equivalent wheel and axle loads.
Design Elements of Flexible Pavements: Loading characteristics-static, impact and repeated loads, effects of dual wheels and tandem axles, area of contact and tyre pressure, modulus or CBR value of different layers, equivalent single wheel load, equivalent stress and equivalent deflection criterion; equivalent wheel load factors, climatic and environmental factors.
Design Methods for Flexible Pavements: California bearing ratio (CBR) method, AASHTO 1993 method, Design of flexible pavements IRC 37.
Rigid Pavements: Wheel load stresses, Soil subgrade, Westergaard’s analysis, Bradbury’s approach, Arlington test, Pickett’s corner load theory and influence charts. Temperature Stresses: Westergaard’s and Thomlinson’s analysis of warping stresses, Combination of stresses due to different causes, Effect of temperature variation on Rigid Pavements.
Reinforced Concrete Slabs: Concrete slabs-general details. Design of Tie Bars and Dowel Bars.Design of Rigid pavements using IRC 58-2015 and AASHTO guidelines.Software: IITPave and ABAQUS

Learning Outcome

At the end of the course, student would be able to:
1. Perform flexible and rigid pavement analysis and design for highways.
2. Understand various factors influencing pavement design.

Assessment Method

Assignments, Quizzes, Mid-semester examination and End-semester examination.

Textbooks:

1. Khanna, S.K. and Justo, C.E.G., “Highway Engineering”, Nem Chand Jain & Bros.
2. Papagianna, A. T. and Masad, E. A. “Pavement Design and Materials.” John Wiley & Sons, Inc., 2008.
3. Huang, Y. H. "Pavement analysis and design." Pearson, 2004.

Reference books:

1. Relevant IRC codes.
2. National Cooperative Highway Research Program (NCHRP) Reports.

Course Number

CE5113

Course Credit (L-T-P-C)

3-0-3-4.5

Course Title

Traffic Engineering and Management

Learning Mode

Lectures and Practical

Learning Objectives

Complies with PLO number – 1, 2, and 4
1. To understand various traffic flow parameters
2. To understand how to conduct traffic studies
3. To understand how to design signalized intersections
Practical: Complies with PLO number 1 and 4.
1. To understand how to collect, analyze and interpret the traffic data

Course Description

To introduce fundamental knowledge of traffic engineering so that students can understand and be able to deal with traffic issues including safety, planning, design, operation and control. Students will learn and be able to use software such as Highway Capacity Software and Synchro in traffic engineering projects.

Course Content

Introductory concepts of traffic engineering, road user and vehicle characteristics, and Road way geometric characteristics.Traffic Studies – speed, delay, volume, parking, Origin-Destination, capacity, accident, etc. Statistical Applications in Traffic Engineering, Capacity and Level of Service,Traffic control devices: Road Signs, Markings and Islands, Traffic characteristics at unsignalized intersections; Design of signalized intersections; capacity, delay and Level of service at signalized intersection; actuated signal control.
Practical on: Spot Speed Study; Measurement of Travel Time and Delay for Congested Corridor; Moving Observer Method Study; Turning Movements and Peak Hour Factor; Plate Method of OD Survey; Acceleration Deceleration Characteristics of Vehicles; Intersection Volume Study; Saturation Flow Measurement; Intersection Delay Measurement; Pedestrian Behaviour Study;

Learning Outcome

At the end of the course, the student will be able to gather the information on
1. Use statistical concepts and applications in traffic engineering.
2. Identify traffic stream characteristics.
3. Understand elements of highway safety and approaches to accident Studies.
4. Design a pre-timed signalized intersection, and determine the signal splits
5. Identify level of services for arterials.
6. Utilize modern software tools (HCS) for network representation and traffic simulation.
7. Utilize modern software tools to estimate traffic measures such as delay and LOS for signalized and unsignalized intersections.
8. Understand, conduct and interpret data for traffic simulation experiments.
9. Understand the contemporary issues related to the use of advanced technology in traffic modeling and control.
10. Design transportation related project in a team of two or three students and submits a final report.
11. Understand Warrants and ability to use them to evaluate intersections.

Assessment Method

Assignments, Quizzes, Mid-semester examination and End-semester Examination

Course Number

CE5212

Course Credit (L-T-P-C)

3-0-3-4.5

Course Title

Highway Materials

Learning Mode

Lectures and Practical

Learning Objectives

Complies with PLO number – 1, 2, and 4
To understand characteristic properties of material used in road construction.
To understand performance evaluation techniques of road construction materials.
To understand design of asphalt and cement mixes.
To understand different type of waste and recycled materials used in road construction.
To understand quality control plan in road construction.

Course Description

This course deals with materials used in road construction. Source, properties and performance evaluation methods of pavement materials are important in selecting them road construction project. The course will help students understand the practices used in road construction industry in selection, design and quality control of pavement materials.

Course Outline

Soil: Classification of soil, identification and strength tests – Atterberg limits, compaction tests, California Bearing Ratio (CBR), Unconfined Compressive Strength (UCS), Modulus of subgrade reaction, Resilient Modulus, Permeability, Free Swelling Index (FSI), Deleterious materials, sand equivalent test, Soil stabilization techniques.
Aggregates: Origin and classification, physical, mechanical and durability properties, sampling techniques, aggregate texture, polish stone value, alkali-aggregate reactivity. Nonlinearity in fine and coarse grained material. Fillers and its specifications.
Binders: Bitumen: Bitumen sources and manufacturing, bitumen constituents and its properties, rheology, bitumen-emulsion, cutback, modified bitumen, separation, long-term and short-term properties.
Cement: Manufacturing, composition, type of cement, physical properties of cement: consistence, setting times, soundness and strength.
Stabilized materials: Stabilization methods, Subgrade stabilization, Sub-base stabilization, Base stabilisation, Estimation of resilient modulus.
Recycled Pavement Materials: Crumbed rubber, Construction and Demolition (C&D) waste, Steel Slag, Recycled Asphalt Pavement (RAP).
Mix Designs: Design of granular sub-base and their desirable properties; Design of Wet Mix Macadam and its desirable properties. Bituminous Mix Design and its desirable properties using Marshall Method MS-2. Asphalt cold Mix Design as per MS-14, Asphalt Institute and MORTH.
Concrete Mix Design – constituents and their requirements, fresh and hardened concrete properties, factors influencing mix design. Dry lean concrete. Paving quality concrete (PQC).
Quality Control and Tolerance: Field construction, Quality control plan, Control charts, QA/QC tests. Laboratory tests in this course will include: Aggregate & Soil Tests: Coarse and Fine Aggregate Specific Gravity; California Bearing Ratio. Binder Test: Penetration Test; Softening Point Test; Ductility Test; Viscosity Test. Asphalt Mix Test: Marshall mix design; Quality Control Tests: Binder Extraction Test; In-situ Density Measurement.

Learning Outcome

At the end of the course, student would be able to:
1. Select and design material for road construction.
2. Evaluate pavement material based on its specification requirements.
3. Understand different conventional and recycled materials used in road construction.
4. Develop quality control plan for pavement materials in road construction projects.

Assessment Method

Assignments, Quizzes, Mid-semester examination and End-semester examination.

Textbooks:

1. Huang, Y. H. "Pavement analysis and design." Pearson, 2004.
2. Papagianna, A. T. and Masad, E. A. “Pavement Design and Materials.” John Wiley & Sons, Inc., 2008.
3. S. K. Khanna and C. E. G. Justo, Highway Engineering, Nem Chand Bros., 2002.

Reference books:

1. MORTH. “Ministry of Road Transportation & Highways Specifications for Road and Bridge Works.” 2013.
2. Kim., Y. R. “Modeling of Asphalt Concrete.” McGraw-Hill, 2009, 1st Edition.
3. National Cooperative Highway Research Program (NCHRP) Reports.

Course Number

CE5213

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Railway Engineering

Learning Mode

Lectures

Learning Objectives

Complies with PLO- 2
1. Understand factors that control railway alignment.
2. Understand structural and geometric design of tracks.
3. Understand track maintenance operation.

Course Description

This course deals with the basics of ballasted track design. Course aims to teach factors that govern the structural and geometric design of tracks.

Course Outline

History of Indian railways and importance of railways; Factors controlling railway alignment; Components of railway track, functions and requirements; Geometric design of tracks; Analysis and design of track layers: Axle load, train speed considerations; Factors affecting the performance of ballast and subballast; Track drainage; Train resistance and tractive power requirements.

Learning Outcome

At the end of the course, student would be able to:
1. Factors governing railway alignment
2. Design railway tracks
3. Design track maintenance operation.

Assessment Method

Assignments, Quizzes, Mid-semester examination and End-semester examination

Textbooks/ References:

1. Coenraad Esveld., “Modern Rail Track Design”, MRT productions.
2. Buddhima Indraratna, Wadud Salim, Cholachat Rujikiatkamjorn, “Advanced Rail Geotechnology - Ballasted Track”, CRC Press, 2011.
3. S.C. and Arora.S.P, “A Text Book of Railway Engineering”, Dhanpat Rail Publications, 2013.
4. J S Mundrey, “Railway Track Engineering”, Mc. Graw Hill Education, 2015.

Course Number

CE5214

Course Credit (L-T-P-C)

2-1-0-3

Course Title

Computer Applications in Transportation Engineering

Learning Mode

Lectures and Tutorials

Learning Objectives

Complies with PLO number – 1, 2, 3 and 4
To gain basic knowledge on traffic and highway engineering related simulation software and how to build COM interfaces for solving practical problems.

Course Description

This course focuses on the fundamentals behind some of the most popular computer software packages used in the transportation planning, design, operations, and management of transportation systems. Topics include signal optimization and evaluation at various levels of spatiotemporal scales, forecasting of traffic flows and passenger volumes for both long-term and short-term planning, simulation of traffic and transit systems, design and evaluation of Intelligent Transportation Systems.

Course Content

Introduction to a programming language MATLAB, R, Python;
Introduction to a microscopic traffic simulation software VISSIM;
Introduction to Synchro, HCS, and AIMSUN.
Introduction to a highway design software MXROADS
Introduction to a pavement analysis and design software IITPave, KenPave, AASHTOWare, KGPBACK, Abaqus.
Airport Pavement Analysis – BAKFAA, FAARFIELD, etc.

Learning Outcome

At the end of the course, the student will be able to
1. Understand how to use microscopic simulation software VISSIM, AIMSUN, optimization software Synchro and analysis software HCS
2. Learn basics of programming languages such as R, python and MATLAB
3. Understand how to frame COM interfaces with various simulation softwares to solve real-world problems.

Assessment Method

Assignments, Quizzes, Mid-semester examination and End-semester examination

Course Number

CE6125

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Bituminous Materials

Learning Mode

Lectures

Learning Objectives

Complies with PLO number – 1, 2, and 4
Understand fundamental properties and behavior of asphalt binders.
Describe the fundamental properties and behavior of asphalt concrete.
Perform Superpave volumetric mixture design
Analyze and understand strengths and weaknesses of various performance test methods
Understand quality control of bituminous materials in road construction.

Course Description

In this course bituminous materials used in road construction will be covered in detail. Source, properties and performance evaluation methods of bituminous materials are important in selecting them in road construction project. The course will help students understand rheological properties of bituminous materials. The practices used in road construction industry in selection, design and quality control of bituminous materials will be covered.

Course Outline

Introduction to Bituminous Materials
Asphalt binder: Definitions, Classification of asphalt paving materials, Sources, Production types, Chemistry and Physical properties, Performance tests and Specifications, Specifications for modified binders. Emulsion: Definitions, Classification and Engineering properties.
Introduction to Viscoelasticity
Rheological properties – visco-elastic models. Dynamic Shear modulus, Dynamic modulus, Relaxation modulus, Creep compliance, Indirect Tensile Properties.
Asphalt binder tests and specifications
Rheological properties, high temperature viscosity, low temperature stiffness, fatigue evaluation. Recent tests: RV, DSR, BBR, MSCR, Stress sweep fatigue test.
Asphalt mix
Rheological properties, Weight-Volume Relationships, Superpave mix design. Image based analyses.
Asphalt Mix Design using Recycled Pavement Materials: Crumbed rubber, Construction and Demolition (C&D) waste, Recycled Asphalt Pavement (RAP).
Asphalt Mix Performance Modeling: Beam fatigue, Viscoelastic continuum damage, Rutting.
Quality Control and Tolerance: Field construction, Quality control plan, Control charts, QA/QC tests.
Software: ABAQUS

Learning Outcome

At the end of the course, student would be able to:
Perform Superpave volumetric mixture design
Understand characteristic properties of bituminous materials.
Use recycled materials in bituminous mixes for road construction.
Develop quality control plan for bituminous materials in road construction projects.

Assessment Method

Assignments, Quizzes, Mid-semester examination and End-semester examination.

Textbooks:

1. Kim., Y. R. “Modeling of Asphalt Concrete.” McGraw-Hill, 2009, 1st Edition.
2. Huang, Y. H. "Pavement analysis and design." Pearson, 2004.
3. Papagianna, A. T. and Masad, E. A. “Pavement Design and Materials.” John Wiley & Sons, Inc., 2008.
4. Superpave Mix Design, MS-2, 7th Edition, Asphalt Institute, 2013.

Reference books:

1. MORTH. “Ministry of Road Transportation & Highways Specifications for Road and Bridge Works.” 2013.
2. National Cooperative Highway Research Program (NCHRP) Reports.

Course Number

CE6126

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Intelligent Transportation Systems

Learning Mode

Lectures

Learning Objectives

Complies with PLO number – 1, 2, and 4
To understand various functional areas of ITS and its relevance in smart cities
To understand various data collection strategies of ITS
To understand various ITS plans around the world
To understand ITS user needs and services
To understand evaluation of the ITS applications
To apply latest technologies in solving congestion related problems

Course Description

Intelligent Transportation Systems (ITS) represent a major transition in transportation on many dimensions. This course considers ITS as a lens through which one can view many transportation issues. ITS is an international program intended to improve the effectiveness and efficiency of surface transportation systems through advanced technologies in information systems, communications, and sensors.

Course Content

Introduction to Intelligent Transportation systems (ITS): Definition, objectives, benefits of ITS. ITS programs in the world – Overview of ITS implementations in developed countries and developing countries. ITS Data Collection Techniques: Intrusive and Non-intrusive, Data Analysis Techniques for ITS: Machine learning techniques, filtering techniques, time series analysis, prediction techniques, optimization. ITS Functional Areas. ITS User Needs and Services: Travel and traffic management; Public transportation management; Electronic payment; Commercial vehicle operations; Information management. ITS Architecture and Standards ITS Architecture: ITS standards, rationale, development process; ITS Policy Issues – institutional, legal etc. User Response and Evaluation: User response to ITS implementations around the world; Evaluation of the ITS implementations

Learning Outcome

At the end of the course, the student will be able to gather the information on
1. What ITS is?
2. Differences between intrusive and non-intrusive technologies
3. Various performance evaluation strategies of ITS applications,
4. Relevance of ITS in the context of developing countries especially with the national mission of smart cities,
5. Understand the differences between various functional areas of ITS etc.

Assessment Method

Assignments, Term Projects, Technical paper presentations, quizzes, mid-semester examination and end-semester examination

References:

1. Joseph S. Sussman: Perspectives on Intelligent Transportation Systems (ITS), Springer; 2005th edition (April 7, 2005)
2. Robert Gordon, Intelligent Transportation Systems: Functional Design for Effective Traffic Management, Springer 2016.
3. Roger W. Vickerman, International Encyclopaedia of Transportation, Elsevier, 2021.
4. Chowdhury, M. A. and Sadek, A. W., Fundamentals of IntelligentTransportation Systems Planning, Artech House. 2003.
5. McQueen, B. and McQueen, J., Intelligent Transportation SystemArchitectures, Artech House. 2003
6. Williams, B., “Intelligent Transportation Systems Standards”, Artech House. 2008
7. Ghosh, S. and Lee, T., Intelligent Transportation System - New Principles &Architectures, CRC Press.

Course Number

CE6127

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Pavement Management System

Learning Mode

Lectures

Learning Objectives

Complies with PLO number – 1, 2, and 4
1. Understand the major activities involved in managing highway pavements required for managing pavements and exercised, on a daily basis, by a highway organization.
2. Training on data collection and analysis involved in pavement management system.

Course Description

The course outline the technical activities necessary to set up a pavement management system for an existing pavement network. The data to be collected and the analysis process in the pavement management system.

Course Outline

Introduction to Pavement Management System
Commitment for a Pavement Management System, Strategies, policies, specifications and feedback system.
Network level and Project level pavement management.
Quality control and specifications
Pavement Monitoring and Evaluation
Pavement surveys. Functional and structural evaluation of the existing highway network. Pavement distresses and durability aspects of pavement design. Pavement condition ratings.
Rehabilitation and Maintenance Techniques
Restoration, recycling, resurfacing, and routine and major maintenance activities
Economic analysis
Life cycle cost analysis, Life cycle environmental analysis

Learning Outcome

At the end of the course, student would be able to:
1. Develop an effective project management system for transportation agencies.
2. Design different pavement surveys.
3. Manage pavement data so it can be used effectively.

Assessment Method

Assignments, Quizzes, Mid-semester examination and End-semester examination.

Course Number

CE6102

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Sampling, Analytical Methods and Statistics for Environmental Engineering

Learning Mode

Lectures

Learning Objectives

Complies with PLOs 1,2 and 4
The objective of this course is
1. Develop an understanding of various sampling techniques used in environmental engineering.
2. Learn the principles and applications of common analytical methods for environmental samples.
3. Gain proficiency in statistical analysis and interpretation of environmental data.

Course Description

This course provides an in-depth exploration of sampling techniques, analytical methods, and statistical analyses used in environmental engineering. Students will learn how to design sampling strategies, select appropriate analytical methods, and apply statistical tools to interpret environmental data.

Course Outline

Sampling: Principles of sample collection, Importance of sampling for environmental analysis, Types of samples (grab samples, composite samples, etc.), Factors to consider in sampling design (location, frequency, timing)
Analytical methods: Gravimetric methods, titrimetric methods, electrochemical methods, Spectrometric method of analysis, Chromatographic method of analysis, Advanced analytical techniques (FTIR, XRD, SEM, TEM, TGA, etc.)
Quality Assurance and Quality Control (QA/QC): Standard Operating Procedures (SOPs), Documentation and record keeping, Calibration and standardization, Control Samples-blanks, duplicates, spiked samples: accuracy, precision, Limit of Detection (LOD), Limit of Quantification (LOQ)
Statistical Analysis: Basics of statistical analysis (mean, median, standard deviation, etc.), Advanced statistical tools: regression, hypothesis testing, ANOVA, Error analysis, Reproducibility/repeatability.

Learning Outcome

At the end of the course, students would be able to:
1. Learn the basics of sample collection, including types, locations, and sampling frequency.
2. Develop expertise in using various analytical techniques, such as gravimetric, titrimetric, electrochemical, spectrometric, and chromatographic methods.
3. Establish and maintain quality assurance and quality control (QA/QC) processes to ensure accuracy, reliability, and consistency in sampling and analysis.
4. Acquire the ability to apply statistical methods to analyze, interpret, and validate environmental data, ensuring accuracy and reliability.

Assessment Method

Assignments, Quizzes, Mid-semester examination, and End-semester examination.

Text Books and Reference:

1. Zhang, C., 2007. Fundamentals of environmental sampling and analysis. John Wiley & Sons.
2. Csuros, M., 2018. Environmental sampling and analysis: lab manual. Routledge.
3. Berthouex, P.M. and Brown, L.C., Statistics for Environmental Engineers, Lewis
4. Publishers, CRC Press, Boca Raton, 1994.
5. Ott, W.R. Environmental Statistics and Data Analysis, Lewis Publishers, New Jersey,
6. 1995.
7. Csuros, M. and Csuros, C., 2016. Environmental sampling and analysis for metals. CRC Press.
8. Popek, E.P., 2017. Sampling and analysis of environmental chemical pollutants: a complete guide.Elsevier.
9. Rice, E.W., Bridgewater, L. and American Public Health Association eds., 2012. Standard methods for the examination of water and wastewater (Vol. 10). Washington, DC: American public health association.
10. Rong, Y. ed., 2011.Practical environmental statistics and data analysis. ILM publications.

Course Number

CE6106

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Soil Dynamics

Learning Mode

Lectures

Learning Objectives

Complies with PLO- number 1, 2, 3, and 4
1. To provide the knowledge of the advanced concept of soil dynamics.
2. Equip the students with a strong foundation in civil engineering for both research and industrial scenarios.
3. Prepares the students to apply knowledge in policy and decision making related to civil engineering infrastructure.
4. Prepare students to attain leadership careers to meet the challenges and demands in civil engineering practice.

Course Description

This course intends to bridge the basic concepts with the advanced topics related to soil dynamics. Topics ranging from wave propagation, estimation of dynamic properties and vibration isolation are covered. The course started with the basic knowledge gained by the attendee during undergraduate level regarding the geotechnical engineering. Estimation of dynamic soil properties along with static properties will be covered in this course. The basic concept behind the vibration isolation will also be taught in this course.

Course Outline

Principles of dynamics and vibrations: Vibration of elementary systems-vibratory motion-single and multi-degree of freedom system-free and forced vibration with and without damping.
Waves and wave propagation in soil media: Wave propagation in an elastic homogeneous isotropic medium- Raleigh, shear and compression waves.
Dynamic properties of soils: Stresses in soil element, coefficient of elastic, uniform and non-uniform compression, shear effect of vibration dissipative properties of soils, Determination of dynamic soil properties, Field tests, Laboratory tests, Model tests, Stress-strain behavior of cyclically loaded soils, Estimation of shear modulus, Modulus reduction curve, Damping ratio, Linear, equivalent-linear and non-linear models, Ranges and applications of dynamic soil tests, Cyclic plate load test, Liquefaction.
Vibration isolation: Vibration isolation technique, mechanical isolation, foundation isolation, isolation by location, isolation by barriers, active passive isolation tests.

Learning Outcome

At the end of the course, student would be able to:
1. Estimate dynamic soil properties using various methods available along with the method suggested in the IS code.
2. Understand the basics of wave propagation.
3. Liquefaction potential assessment using IS code and other methods in practice.
4. Vibration isolation of structures using various active and passive isolation technique.

Assessment Method

Assignments, Quizzes, Mid-semester examination and End-semester examination.

Textbooks:

1. Swami Saran, “Soil Dynamics and Machine Foundations”, Galgotia Publications Pvt. Ltd, 1999.
2. B. M. Das and G. V. Ramana, Principles of Soil Dynamics, 2nd edition, Cengage Learning, 2011.

Reference books:

1. S. Prakesh& V. K. Puri, Foundation for machines, McGraw-Hill 1993.
2. Kramar S.L, “Geotechnical Earthquake Engineering”, Prentice Hall International series, Pearson Education (Singapore) Pvt. Ltd.

Course Number

CE6107

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Rock Slope Engineering

Learning Mode

Lectures

Learning Objectives

Complies with PLO- number 1, 2, 3, and 4
1. Learning Objectives of Rock Slope Engineering: Understand the geological and geotechnical principles governing the stability of rock slopes, including the factors influencing rock mass behavior, such as geological structure, rock type, weathering, and groundwater conditions.
2. Gain proficiency in conducting site investigations and geological mapping to characterize rock slope conditions, identify potential failure mechanisms, and assess the stability of rock slopes using qualitative and quantitative methods.
3. Learn to apply engineering principles and analytical techniques to analyze the stability of rock slopes, including limit equilibrium methods, numerical modeling, and probabilistic approaches, to evaluate factors such as slope geometry, rock strength parameters, and external loading conditions.
4. Acquire knowledge of rock slope stabilization and mitigation techniques, including rock reinforcement, slope scaling, rock bolting, rockfall protection measures, and slope monitoring systems, and understand their applicability based on site-specific conditions and project requirements.
5. Develop the ability to design effective risk management strategies for rock slope engineering projects, including risk assessment, hazard identification, and implementation of risk control measures to ensure the safety of infrastructure, minimize environmental impacts, and optimize project performance.

Course Description

Rock Slope Engineering course offers a comprehensive examination of the principles, methodologies, and practices essential for the assessment, design, and management of rock slopes in various geotechnical and engineering applications. Through a combination of theoretical concepts, practical case studies, and hands-on exercises, students will gain an understanding of the geological factors influencing slope stability, methods for slope assessment and characterization, and techniques for slope stabilization and risk mitigation. Emphasizing a multidisciplinary approach, the course covers topics including rock mechanics, geotechnical investigation, slope stability analysis, monitoring and instrumentation, and the application of engineering principles to mitigate hazards associated with rock slopes. By the conclusion of the course, students will possess the knowledge and skills necessary to effectively evaluate, design, and manage rock slopes to ensure the safety and sustainability of infrastructure projects in challenging terrain.

Course Outline

Principles of rock slope design, Basic mechanics of slope failure, Structural geology and data interpretation, Site investigation and geological data collection, Rock strength properties and their measurement, Plane failure, Wedge failure, circular failure, Toppling failure, Numerical analysis, Stabilization of rock slopes, Movement monitoring

Learning Outcome

At the end of the course, student would be able to:
1. Geotechnical Understanding: Develop a comprehensive grasp of the geological factors influencing rock slope stability, including rock mass properties, weathering processes, and the impact of discontinuities.
2. Risk Assessment and Management: Acquire skills in conducting thorough risk assessments for rock slopes, identifying potential failure modes, and implementing effective risk management strategies to mitigate hazards.
3. Design and Implementation of Stabilization Measures: Learn to design and implement appropriate stabilization measures for rock slopes, including rock bolts, shotcrete, and rockfall protection systems, based on site-specific conditions and project requirements.
4. Application of Analytical Techniques: Gain proficiency in utilizing analytical techniques such as limit equilibrium methods and numerical modeling to assess slope stability and make informed decisions regarding slope design and stabilization measures.

Assessment Method

Assignments, Quizzes, Mid-semester examination and End-semester examination.

Textbooks:

1. Duncan C. Wyllie, Chris Mah, Rock Slope Engineering: Fourth Edition, 2004,
2. Evert Hoek, Jonathan D. Bray, Rock Slope Engineering, Third Edition, 1974
3. Ramamurthy T, Engineering in Rocks for Slopes, Foundations and Tunnels, 2014

Reference books:

1. Engineering rock mechanics: Part 1, by John A. Hudson and John P. Harrison
2. Engineering rock mechanics: Part 2, by John A. Hudson and John P. Harrison
3. Fundamentals of rock mechanics by J. C. Jaeger, N. G. W. Cook, and R. W. Zimmerman

Course Number

CE6108

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Constitutive Modelling in Geotechnics

Learning Mode

Lectures

Learning Objectives

Complies with PLO- number 1, 2, 3, and 4
1. To understand and analyse the numerical and constitutive modelling and its application in geomaterials to solve the complex geotechnical engineering problems.

Course Description

This course has been designed to provide a fundamental of continuum-mechanics approaches to constitutive and numerical modeling of geomaterials in geotechnical problems. Further, the course aims to provide some knowledge about applications of the constitutive and numerical models within the different existing numerical codes. The various applications, special topics and case studies will be covered in this course to analyse and understand the real geotechnical problems and finding the future solutions.

Course Outline

Introduction and Tensor Analysis, Stresses and strains, Equations of Continuum Mechanics and Thermodynamics, Elasticity, Plasticity and yielding, Introduction to upper and lower bounds, selected boundary value problems, Elastic-plastic model for soils: elastic and plastic volumetric strains, plastic hardening, plastic shear strains, plastic potentials, flow rule. Cam clay model: critical state line, shear strength, stress-dilatancy, index properties, prediction of conventional soil tests. Applications and special topics.

Learning Outcome

At the end of the course, student would be able to:
1. Understand the basic of continuum mechanics.
2. Learn the various elastic-plastic model for soils and its applications
3. Comprehend about the cam clay model and its importance in geotechnical engineering.
4. Expose with various case studies and special topics to analyze the real geotechnical problem.

Assessment Method

Assignments, Quizzes, Mid-semester examination and End-semester examination.

Textbooks:

1. Wood, David Muir. Soil behaviour and critical state soil mechanics. Cambridge university press, 1990.
2. Atkinson, J. H., and P. L. Bransby. The mechanics of soils, an introduction to critical state soil mechanics. No. Monograph. 1977.
3. Chan, W.K. and Saleeb, A.F., Constitutive equations for engineering materials, Volume 1: Elasticity and modelling, Elsevier, 1994.
4. Chan, W.K. and Saleeb, A.F., Constitutive equations for engineering materials, Volume 2: Plasticity and modelling, Elsevier, 1994.

Reference books:

1. Harr, Milton Edward. Foundations of Theoretical Soil Mechanics. McGraw-Hill, 1966.
2. Desai, C.S. and Siriwardane, H.J., Constitutive laws for engineering materials with emphasis on geologic materials, Prentice Hall, 1984.

Course Number

CE6111

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Rock Mechanics

Learning Mode

Lectures

Learning Objectives

Complies with PLO- number 1, 2 and 3
1. Understand the fundamentals of geology.
2. Comprehend and analyse the properties of the intact and jointed rock mass.
3. Recognize and analyse different Rock Mass Classification systems and the stress-strain behaviour, strength and deformability of rock mass.
4. Solve complex engineering problems by applying principles of engineering and mechanics.

Course Description

This course is offered as a core course in department to understand the basics of rock mechanics and behaviors of rocks for various construction purposes such as foundations, underground excavation, landslide etc.

Course Outline

Introduction to Rock Mechanics: Basic knowledge of geology; Problems associated with rock mechanics; General terminologies- Interior of earth, rock forming minerals, identification, intact rock, discontinuities and rock mass; Rock as engineering material. Properties, Mechanics and Classification of Intact Rock; Mechanical properties; Factors affecting strength of rocks; Intact rock classification; Rock cycle; Basic principles- stress and strain; Rock failure criteria. Properties and Mechanics of Rock Discontinuities; Plotting of geological data and its application; Shear behaviour of rock; Shear strength criteria; Flow through discontinuities. Rock mass classification systems; Strength criteria; Time dependent behaviour in rocks; Field investigation; Dynamic and thermal properties of rock.

Learning Outcome

At the end of the course, student would be able to:
1. Understand the basics of rock mechanics
2. Learn and analyze the physical, mechanical, and hydraulic characteristics of the intact and jointed rock mass.
3. Acquaint with different Rock Mass Classification systems.
4. Recognize and analyse the stress-strain behaviour, strength and deformability of rock mass.
5. Solve complex engineering problems by applying principles of engineering and mechanics.

Assessment Method

Assignments, Quizzes, Mid-semester examination and End-semester examination.

Textbooks:

1. Goodman, R. E. Introduction to rock mechanics, John Wiley and Sons, 1989.
2. Hudson, J. A., & Harrison, J. P. Engineering rock mechanics: an introduction to the principles, (Vol.: I-IV), Elsevier, 2000.
3. Harrison, J. P., & Hudson, J. A. Engineering rock mechanics: part 2: illustrative worked examples, Elsevier, 2000.
4. Ramamurthy, T., Engineering in rocks for slopes, foundations and tunnels, Prentice Hall India, 2010.

References:

1. Hoek, E., & Bray, J. D. Rock slope engineering, CRC Press, 1981.
2. Hoek, E, & Brown, E. Underground excavations in rock, CRC Press, 1980. Singh, B., & Goel, R. K. Engineering rock mass classification, Elsevier, 2011.
3. Mogi, K. Experimental rock mechanics, CRC Press, 2006. Bieniawski, Z. T. Rock mechanics in mining & tunnelling, A.A. Balkema, Rotterdam, 1984.
4. Jaeger, J. C., Cook, N. G., & Zimmerman, R. Fundamentals of rock mechanics, John Wiley & Sons, 2009.
5. Debasis, D., & Kumar, V. A. Fundamentals and applications of rock mechanics, PHI Learning Pvt. Ltd. New Delhi, India, 2016.

Course Number

CE6113

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Pavement Geotechnics

Learning Mode

Lectures

Learning Objectives

Complies with PLO number – 1a and 3a
1. Equip the students with a strong foundation and strengthen their knowledge in pavement geotechnics.
2. The student will be able to apply advanced theory and analysis for problem-solving in pavement geotechnics.
3. The student will prepare for further research and graduate study by critical thinking and improving research skills.
4. The student will be able to apply fundamentals in identifying, formulating, and solving complex engineering problems in pavement geotechnics.

Course Description

This coursework will provide practical insights for students in the field of Pavement Geotechnics. The development of sustainable approaches for green technology-based highways for global road networks is given the highest priority. This coursework will disseminate knowledge to the students in pavement geotechnics. The students will be taught the recent sustainable developments and design principles to face current and future highway problems in relevance with pavement geotechnics.

Course Content

Geotechnical properties of geomaterials such as soil, rock, soil-rock mixture, and alternative geomaterials. Stabilized geomaterials, Various types of pavements, subgrade characterization and geotechnics, challenges faced in constructing subgrades. Subbase, base, and asphalt concrete materials relevant to pavement geotechnics. Elastic theories and stress distribution in pavements. Estimation of resilient modulus of pavements. Geotechnical design parameters for pavements. Geosynthetic stabilization of constructed layers and interlayers. Asphalt concrete courses and their stabilization technique, Stress distribution of pavement system in stabilized and unstabilized ground conditions. Geosynthetic stabilized pavements, low-carbon cement stabilized pavements, geotechnical parametric studies for AASHTO, MEPDG, and IRC designs. Porous pavement geotechnics, Analysis of pavement distress studies using KENPAVE and IIT Pave. Low-carbon materials and sustainable geosynthetic materials used for pavements. Important concepts on permeable pavements and inverted pavements. Semi and full-depth reclamation techniques of pavements. The waste material used for pavement. Field and case studies.

Learning Outcome

The course structure will impart high-quality knowledge on students to face current and future problems faced by the world’s largest road networks. Students would be able to learn the core principles of pavement designs and advanced sustainable pavement techniques. Exploration of alternative materials, design approaches, and innovation in pavement geotechnics will be disseminated through this course.

Textbooks:

1. Huang, Y. H. (2004). Pavement analysis and design, Second edition, Upper Saddle River, NJ: Pearson Prentice Hall.
2. Yoder, E. J., &Witczak, M. W. (1991). Principles of pavement design. John Wiley & Sons.
3. Mallick, R. B., & El-Korchi, T. (2008). Pavement engineering: principles and practice. CRC Press.
4. Frost, M. W., Jefferson, I., Faragher, E., Roff, T. E. J., & Fleming, P. R. (Eds.). (2003). Transportation Geotechnics: Proceedings of the Symposium Held at The Nottingham Trent University School of Property and Construction on 11 September 2003. Thomas Telford Publishing.
5. Ellis, E., Yu, H. S., McDowell, G., Dawson, A. R., & Thom, N. (Eds.). (2008). Advances in Transportation Geotechnics: Proceedings of the International Conference Held in Nottingham, UK, 25-27 August 2008. CRC Press.
6. Miura, S., Ishikawa, T., Yoshida, N., Hisari, Y., & Abe, N. (Eds.). (2012). Advances in Transportation Geotechnics 2. CRC Press.

Reference books:

1. Ferguson, B. K., & Ferguson, B. K. (2005). Porous pavements. Boca Raton, FL: Taylor & Francis.
2. Rogers, M., & Enright, B. (2016). Highway engineering. John Wiley & Sons.
3. Nikolaides, A. (2014). Highway engineering: Pavements, materials and control of quality. CRC Press.
4. Babu, G. L. S., Kandhal, P. S., Kottayi, N. M., Mallick, R. B., &Veeraragavan, A. (2019). Pavement Drainage: Theory and Practice. CRC Press.
5. Babu, G.L.S., (2006). An Introduction to Soil Reinforcement and Geosynthetics, Universities Press (India) Pvt. Ltd.

Course Number

CE6114

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Probabilistic Methods in Geotechnical Engineering

Learning Mode

Lectures

Learning Objectives

Complies with PLO- number 1, 2, 3, and 4
1. To provide the knowledge of the advanced concept of probabilistic methods in geotechnical engineering.
2. Equip the students with a strong foundation in civil engineering for both research and industrial scenarios.

Course Description

This course intends to bridge the basic concepts with the advanced topics related to the application of probabilistic methods in geotechnical engineering. Topics ranging from risk, uncertainty, Monte Carlo simulation, and FORM are covered. The course started with the basic knowledge gained by the attendee up to undergraduate level regarding the probabilistic methods. Thereafter, the basics and advanced concept related to risk and reliability analysis will be studied by the students.

Course Outline

Introduction: Concept of risk; and uncertainty in geotechnical engineering analysis and design; Fundamental of probability models.
Analytical models of random phenomena: Baysian Analysis; Analysis of variance (ANOVA); Application of central limit theorem; confidence interval; expected value; and return period.
Application of Monte Carlo simulation (MCS): Determination of function of random variables using MCS methods; Application of MCS in various geotechnical engineering problems.
Determination of Probability Distribution Model: Probability paper; testing of goodness-of-fit of distribution models.
Methods of risk Analysis: Composite risk analysis; Direct integration method; Method using safety margin; reliability index and safety factor; FORM; SORM; Applications of risk and reliability analysis in engineering systems.

Learning Outcome

At the end of the course, student would be able to:
1. Analyzed structure using various probabilistic methods available along with the method suggested in the Euro code.
2. Perform reliability analysis for various geotechnical problems.
3. Assess composite risk using various techniques to estimate failure of geotechnical structures.

Assessment Method

Assignments, Quizzes, Mid-semester examination and End-semester examination.

Textbooks:

1. Ang, A. H-S., and Tang, W. H., Probability Concepts in Engineering, Vol. 1, John Wiley and Sons, 2006.
2. Scheaffer, R. L., Mulekar, M. S. and McClave, J. T., Probability and statistics for Engineers, 5th Edition, Brooks / Cole, Cengage Learning, 2011.

Reference books:

1. Halder, A and Mahadevan, S., Probability, Reliability and Statistical Methods in Engineering Design, John Wiley and Sons, 2000.
2. All relevant IS and International Codes.

Course Number

CE6116

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Bridge Engineering and Design

Learning Mode

Lectures

Learning Objectives

Complies with PLO- number 1, 2, and 5
Equip the students with a strong foundation in civil and environmental engineering for both research and industrial scenarios.
Provide scientific and technical knowledge in planning, design, construction, operation and maintenance of civil engineering infrastructure.
Nurture interdisciplinary education for finding innovative solutions.

Course Description

This course offers a comprehensive exploration of bridge engineering and design, covering fundamental principles, methodologies, and practical applications. This course covers key aspects including structural analysis, material selection, construction techniques, and environmental considerations.

Course Outline

Introduction: Classification of Bridges, General Features of Design, IRC Loading (viz. 70R, Class AA tracked and wheeled vehicle), Design Codes, Working Stress Method, Limit State Method of Design as per IS456:2000 and IRC 112:2020; Analysis & Design: Consideration of various loading (dead load, vehicular load etc.), Slab bridge, Box Culvert, T-beam bridge, Box Girder bridge and Prestressed concrete bridge. Subsoil properties, their uses for substructure design.

Learning Outcome

At the end of the course, student would be able to:
1. Explore structural analysis, materials selection, construction techniques, and sustainability considerations in the context of designing safe, efficient, and resilient bridges.
2. Develop the expertise needed to conceptualize, plan, and execute bridge projects that meet technical standards and address societal needs.
3. Gain knowledge and skills necessary to tackle real-world challenges in bridge engineering, contributing to the development of critical infrastructure systems.

Assessment Method

Assignments, Quizzes, Project work, Mid-semester examination and End-semester examination.

Textbooks/ Reference books:

1. Swami Saran, Analysis and Design of Substructures: Limit State Design, 28 February 2018.
2. K. K. Rakshit, Design and Construction and Highway Bridges.
3. Raju N. K, Design of Bridges, 5Ed (Pb 2019) – 1 January 2019.
4. Daniel J. Inman, Charles R. Farrar, Vicente Lopes Junior, Valder Steffen Junior, Damage Prognosis: For Aerospace, Civil and Mechanical Systems, John Wiley & Sons, 2005.

Course Number

CE6227

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Traffic Flow Theory

Learning Mode

Lectures

Learning Objectives

Complies with PLO number – 1, 2, and 4
To gain insight into theory and modeling of traffic flow operations, to learn to apply theory and mathematical models to solve practical problems.

Course Description

This course discusses fundamental traffic flow characteristics and traffic flow variables. Their definitions are presented, and visualization/analysis techniques are discussed and empirical facts are presented. The empirical relation between the flow variables are discussed. Shockwave analysis and a review of macroscopic traffic flow models are presented. Traffic flow stability issues are discussed as well as numerical solution approaches.
The lectures also show how macroscopic models are derived from microscopic principles. This course provides an overview of human factors relevant for the behavior of drivers. The car-following model and other approaches to describe the lateral driving task will be discussed. The lectures also pertain to general gap acceptance modeling and lane changing.

Course Content

Traffic Characteristics: Macroscopic variables, Microscopic variables, Relationships between micro and macroscopic variables, Check for various statistical distributions, chi-square test; Microscopic Traffic Flow Models: Car following theories, Assumptions and results from Pipes, Forbes, and GM family of car-following models; Static/Equilibrium Traffic Stream Models: Models by Greenshields’, Greenberg’s, Underwoods, Drew’s, GM Models to various equilibrium relations; Dynamic Traffic Flow Models: First-order fluid-dynamic models - Lighthill Whitham and Richards (LWR) model – Solutions using characteristic curves, Introduction to higher order models; Transients in Traffic Flow: Shock wave analysis, Principles and definitions, Types of shockwaves arising in various traffic settings, Applications and uses of shock wave analysis; Queuing Theory and Applications: Gap acceptance models, Definitions and Principles of queuing theory, Applications and properties of queues for traffic management.

Learning Outcome

At the end of the course, the student will be able to gather the information on
1. Identify differences between microscopic and macroscopic variables
2. Learn how macroscopic models are derived from microscopic principles
3. Understand car-following models
4. Understand the concepts of shockwave theory in traffic flow.
5. Understand the analogy of fluid flow models with traffic flow.
6. Application of queuing theory in traffic flow.

Assessment Method

Assignments, Quizzes, Mid-semester examination and End-semester examination

References:

1. Adolf D. May. Traffic Flow Fundamentals. Prentice-Hall International (1990)
2. Daganzo, C.F. Fundamentals of transportation and traffic operations. Vol. 30. Oxford: Pergamon, 1997.
3. Elefteriadou, L. An introduction to traffic flow theory. Vol. 84. New York, NY, USA: Springer, 2014.
4. Daiheng Ni, Traffic Flow Theory, PHI 5. Partha Chakraborty, Animesh Das: Principles of Transportation Engineering, 2nd Edition by PHI.
5. Leutzbach, W. Introduction to the theory of traffic flow. Vol. 47. Berlin: Springer-Verlag, 1988.
6. Henry Lieu. Revised Monograph on Traffic Flow Theory, Federal Highway Administration Research and Technology, 2017.

Course Number

CE6228

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Analytical Techniques for Infrastructure Systems Analysis

Learning Mode

Lectures

Learning Objectives

Complies with PLO number – 1, 2, and 4
To provide knowledge of quantitative techniques with application potential for Infrastructure systems.

Course Description

This course provides a comprehensive introduction to the analytical methods and tools used in the analysis of infrastructure (transportation) systems. The course focuses on the application of these techniques to real-world transportation systems and includes a mix of theoretical and practical content.
Students will learn about various analytical techniques including but not limited to traffic flow theory, network analysis, demand forecasting, and system optimization. The course will cover both traditional methods such as regression analysis and newer techniques such as machine learning and data analytics. The course will also delve into the use of software tools for transportation analysis and modeling. Students will get hands-on experience with these tools through assignments and projects.

Course Content

Modelling and Simulation: Model Classification, Mathematical; Physical and Analog models, steps involved in simulation, Monte Carlo simulation, validation and verification of simulation models
Multivariate Data Analysis: Vectors and Matrices, Simple estimate of centroid, standard deviation, dispersion, variance and co-variance, correlation matrices, principal component analysis
Curve Fitting: Method of least squares, curvilinear regression, Multiple regression, checking adequacy of model, correlation, multiple linear regression;
Queuing Theory: General structure, operating characteristics, deterministic queuing model, probabilistic queuing models, and simulation of queuing system; Forecasting Models: Moving averages, exponential smoothening, trend projections, causal models, time series analysis of vehicle growth & accidents
Neural Networks: Basic concepts; neural network architecture, back propagation networks.

Learning Outcome

The student will be able to
1. Understand and Apply Modelling and Simulation Techniques
2. Perform Curve Fitting
3. Understand and Apply Queuing Theory
4. Perform Multivariate Data Analysis
5. Develop and Use Forecasting Models and Neural networks for the transportation related problems

Assessment Method

Assignments, Quizzes, Mid-semester examination and End-semester examination

References:

1. Vohra, N.D., “Quantitative Techniques in Management”, Tata McGraw Hill, 2001.
2. Johnson, R. A. and Wichern, D.W., “Applied Multivariate Statistical Analysis”, Prentice Hall., 2003.
3. Johnson, R., “Probability and Statistics for Engineers”, Prentice Hall. 2009
4. Hair, J. and Anderson, R., “Multivariate Data Analysis”, Prentice Hall. 2010

Course Number

CE6229

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Advanced Flexible Pavement Analysis and Design

Learning Mode

Lectures

Learning Objectives

Complies with PLO number – 1, 2 and 4
1. To provide knowledge of recent developments in asphalt material characterization for pavement analysis.
2. Train students to design pavement and overlays.
3. Learn computation of stress distribution and distress mechanisms in pavement.
4. Learn life-cycle analysis of flexible pavements

Course Description

This course will discuss fundamental concepts in design and analysis of flexible pavement. Course will cover Empirical and Mechanistic-Empirical pavement design approaches. Students will learn how to conduct life-cycle cost and environmental analysis for flexible pavements. Students will also learn use of non-destructive tests in pavement condition evaluation and overlay design.

Course Outline

Development of Various Design Methods for Flexible Pavement: Empirical pavement design approach, AASHTO 1993 method, Mechanistic empirical pavement design approach, Asphalt Institute method, IRC Method, MEPDG Method.
Theoretical and Numerical Models for Analysis of Flexible Pavement: Axle load configurations, Stresses and strains in pavements, Boussinesq solution, Equivalent Thickness Method, Multi-layer elastic solutions, Multi-layer viscoelastic solutions, 2-D and 3-D Finite element models.
Selection of Pavement Design Input Parameters and Pavement Performance Models: Traffic loading, Environmental factors in pavement design, Reliability, Pavement material models for asphalt mix and unbound materials, Pavement performance models, Effects of heavy vehicles on pavement response and performance.
Sustainability Analysis: Introduction to sustainability in pavement design, Life-cycle cost analysis, Environmental analysis, Nondestructive testing, Back calculation of pavement in situ properties, Design of overlays.
Software: KENPAVE

Learning Outcome

At the end of the course, student would be able to:
1. Design flexible pavements using Indian Codes and learn best practices.
2. Ability to compute stress-strain distribution in pavement.
3. Identify different type of distresses in pavement and determine condition of pavement using nondestructive testing.
4. Identify factors influencing pavement design.
5. Perform pavement life cycle cost and environmental analysis.

Assessment Method

Assignments, Quizzes, Mid-semester examination and End-semester examination.

Course Number

CE5217

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Geoinformatics for Engineers

Learning Mode

Lectures

Learning Objectives

1. To provide fundamental knowledge in the Basics of GIS.
2. Train students to download, process and prepare the GIS data for Water resources applications.
3. Provide scientific and technical knowledge, to prepare students to prepare maps using GIS for Water resources applications.

Course Description

This course will discuss fundamental concepts in GIS. The course will cover theory and real-world practice in map preparation, flood mapping, rivers and canal mapping and GIS software and databases.

Course Content

Definition – Basic components of GIS – Map projections and coordinate system –Spatial data structure: raster, vector – Spatial Relationship – Topology – Geodata base models: hierarchical, network, relational, object-oriented models – Integrated GIS database -common sources of error – Data quality: Macro, Micro and Usage level components - Meta data - Spatial data transfer standards.

Thematic mapping – Measurement in GIS: length, perimeter, and areas – Query analysis– Reclassification – Buffering - Neighbourhood functions
- Map overlay: vector and raster overlay – Interpolation – Network analysis –Digital elevation modelling. Analytical Hierarchy Process, – Object oriented GIS – AM/FM/GIS – Web Based GIS

Spatial data sources – GIS approach water resources system – Thematic maps -Rainfall-runoff modelling – Groundwater modelling – Water quality modelling – Flood inundation mapping and Modelling – Drought monitoring – Cropping pattern change analysis –Performance evaluation of irrigation commands. Site selection for artificial recharge - Reservoir sedimentation.

Introduction to various remote sensing satellite data (Like Landsat, Sentinel, Radar data, DEM, GRACE etc) and their applications for different water resources engineering applications.

Learning Outcome

At the end of the course, student would be able to:
1. Understand technical aspects and properties of GIS.
2. Download and perform GIS based analysis on different satellite data.
3. Basic flood mapping using Optical and SAR data.

Assessment Method

Assignments (10%), Quizzes (10%), Mid-semester examination (30%) and End-semester examination (50%).

References:

1. Lillesand, T.M. and Kiefer, R.W., Remote Sensing,and Image Interpretation III Edition. John Wiley and Sons, New York. 1993.
2. Burrough P.A. and McDonnell R.A., Principles of Geographical Information Systems. Oxford University Press. New York. 1998.
3. Ian HeywoodSarah, Cornelius, and Steve Carver:An Introduction to Geographical Information Systems. Pearson Education. New Delhi, 2002.
4. Jensen, J.R.,Introductory digital imageprocessing: a remotesensing perspective, Fourth Edition, Pearson, 2017
5. Joseph, G & Jagannathan, C., Fundamentals of remote sensing(3rd edition), The Orient Blackswan, 2018.

Course Number

CE5218

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Groundwater Hydrology

Learning Mode

Lectures

Learning Objectives

1. To provide fundamental knowledge of groundwater hydrology.
2. Train students to plan, design and model groundwater systems.
3. Provide scientific and technical knowledge, to apply the learning in sustainable management of groundwater resources.

Course Description

This course will discuss fundamental concepts of groundwater flow, its occurrence, movement, and flow principles. It will also cover issues related to groundwater management, such as pollution and over-exploitation.

Course Content

Characteristics of groundwater, Global distribution of water, Role of groundwater in water resources system and their management, groundwater column, aquifers, classification of aquifers. Hydrogeological cycle, water level fluctuations, Groundwater balance. Darcy's Law, Hydraulic conductivity, Aquifer transmissivity and storativity, Dupuit assumptions Storage coefficient - Specific yield Heterogeneity and Anisotropy, Direct and indirect methods for estimation of aquifer parameters. Governing equation for flow and contaminant transport through porous medium - Steady and unsteady state flow - Initial and boundary conditions, solution of flow equations. Tracer techniques using environmental isotopes. Surface water groundwater interaction. Steady and unsteady flow to a well in a confined and unconfined aquifer - Partially penetrating wells - Wells in a leaky confined aquifer - Multiple well systems - Wells near aquifer boundaries - Hydraulics of recharge wells. Dynamic equilibrium in natural aquifers, groundwater budgets, management potential of aquifers, safe yield, seepage from surface water, stream-aquifer interaction, artificial recharge. Hydrodynamic dispersion - occurrence of dispersion phenomena, coefficient of dispersion - Aquifer advection-dispersion equation and parameters - initial and boundary conditions - method of solutions, solution of advection-dispersion equation. Climate change and impact on groundwater. Groundwater monitoring and groundwater sampling techniques. Introduction to sustainable groundwater management.

Learning Outcome

After attending this course, the following outcomes are expected:
1. Student should be able to develop an understanding about the occurrence, movement, and fate of groundwater in aquifer systems.
2. Students comprehend the physical principles of groundwater flow and solute transport processes and can represent those processes through mathematical equations in assessing water quantity and quality in ground-water systems.
3. Students should be able to understand the challenges associated with groundwater resources and apply the scientific method and critical thinking in groundwater quantity and quality management.

Assessment Method

Assignments, Quizzes, Mid-semester examination, and End-semester examination

Text Books/ Reference Book:

1. Bhagu R Chahar, Groundwater Hydrology, McGraw-Hill Education, 2015
2. Todd D.K., Ground Water Hydrology, John Wiley and Sons, 2000
3. Freeze A, Cherry JA, Groundwater, Prentice Hall, 1979.
4. Bear J., Hydraulics of Groundwater, Dover Publications INC, 1979
5. Integrated Groundwater Management, Springer Open
6. Richard W Healey, Estimating Groundwater Recharge, Cambridge University Press

Course Number

CE5219

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Open Channel Hydraulics

Learning Mode

Lectures

Learning Objectives

Students will be enabled to understand the fundamental principles governing open channel hydraulics for the design of engineering systems. The course is intended to assist students in developing the skills needed for systematic decomposition and solution of real-world problems.

Course Description

This course covers principles of flow in open channels, conservation laws, critical flow, uniform flow, gradually varied flow, unsteady flow, flow through hydraulic structures, hydraulic jump, and flow routing, analytical and numerical techniques will also be discussed, programming assignments will be carried out in common software and MATLAB.

Course Content

Difference between Open Channel Flow and Pipe Flow, Types of Channel, Geometric parameters of a channel, Classification of Open Channel Flow, Continuity and Momentum equation. Resistance flow formula, Velocity distribution, Equivalent roughness coefficient, Velocity coefficients, Uniform flow in rigid boundary channel, Uniform flow in mobile boundary channel. Concept of Specific Energy, Critical Depth, Alternate depth, Specific Force, Sequent depth. Governing equation of GVF, Classification of Gradually Varied Flow, Computation of GVF profile, Rapidly Varied Flow, hydraulic Jump, Flow over a Hump, Flow in Channel Transition. Concept of best hydraulic section, Design of rigid boundary canal, design of channel in alluvial formation- Kennedy’s theory, Lacy’s theory, Method of Tractive force, Free-board in canal. Wave and their classification, Celerity of wave, Surges, Characteristic equation.

Learning Outcome

At the end of the course, student would be able to:
1. Learn the form of mass, momentum and energy equations under non hydrostatic pressure distribution and non-uniform velocity profiles.
2. Analyse gradually varied flows numerically.
3. Learn how to analyse rapidly varied flow numerically.
4. Design rigid-boundary and erodible channels.
5. Gain information about the flow through spillways and culverts.
6. Basic components of sediment transport in open channels.

Assessment Method

Assignments, Quizzes, Mid-semester examination, and End-semester examination

Text Books/ Reference Book:

1. K Subramaniya, Flow in Open Channels, McGraw Hill, 1997.
2. V.T. Chow, Open-channel hydraulics, McGraw Hill Publications (1973).
3. Sturm, 2001, Open-Channel Hydraulics, McGraw Hill.
4. H. Chaudhury, Open channel flow, Second Edition. Springer (2008).
5. Rajesh Srivastava, Flow through open channels, Oxford University Press (2008).

Course Number

CE6208

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Mine Wastes Generation and Management

Learning Mode

Lectures

Learning Objectives

1. Understand and explain the mining operations, regulations and acts.
2. Explain the various types of mine generated wastes, characterizations techniques and application.
3. Describe the mine waste disposal techniques and stability analysis of overburden dumps.
4. Comprehend the mine generated contaminated leachate and ground pollution.
5. Analyse technical strategies, approaches and solutions to engineer's role and responsibility for mine waste management risk analysis, potential application, safety factors for sustainable development.

Course Description

The course covers various mine waste generated during the mining operation and their characteristics, mining regulations and acts, waste disposal, potential application and stability analysis of mine overburden waste, leachate formation and ground contamination. This course deals with geomechanics and rehabilitation techniques of mine generated wastes, valorization of mine wastes, risk analysis and mining safety.

Course Content

Introduction to mining operations and risk; overview of Indian & international mining regulations and acts; different types of mine waste generated during the mining operation; mine waste disposal & rehabilitation; geochemical compositions, physical & chemical nature of mine wastes; disposal of mine wastes; geomechanics of mine waste disposal & rehabilitation; characterizations and application of mining wastes for infrastructure projects; valorization of mining wastes; leachate formation and ground contamination due to mining wastes; stability analysis of mining wastes overburden dumps, reintegration of mine wastes; mining wastes risk assessment & remedial measures; mining safety.

Learning Outcome

At the end of the course, student would be able to:
1. Describe and explain the mining operations, regulations and acts.
2. Explain the various types of mine generated wastes, characterizations techniques and application.
3. Describe the mine waste disposal techniques and stability analysis of overburden dumps.
4. Understand the mine generated contaminated leachate and ground pollution.
5. Analyze technical strategies, approaches and solutions to engineer's role and responsibility for mine waste management risk analysis, potential application, safety factors for sustainable development.

Assessment Method

Assignments, Quizzes, Term-paper project, Mid-semester examination and End-semester examination.

Textbooks:

1. Singh, T N. Surface Mining, Lovely Prakashan, India, 2020.
2. Karra, Ram Chandar, Gayana, B C, Rao, Shubhananda P Mine Waste Utilization, CRC Press, 2022.
3. Hutchison, Ian P.G. and Ellis, Rechard D., Mine Waste Management, CRC Press, India, 1992.
4. Lottermoser, Bernd G., Mine Wastes Characterization, Treatment and Environmental Impacts, Springer, 3rd edition, 2010.

References:

1. Pradhan, S. P., Vishal, V., & Singh, T. N. (Eds.). Landslides: theory, practice and modelling. Springer International Publishing, 2019.
2. Pathak, Pankaj, Rout, Prangya Ranjan, Urban Mining for Waste Management and Resource Recovery, CRC Press, 2021
3. Indian and international acts and regulations for mining operations and waste management
4. Referred journal and publications.

Course Number

CE6211

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Utilization of industrial byproducts for geotechnical applications

Learning Mode

Lectures

Learning Objectives

1. Understand various sources and characteristics of industrial byproducts and their application as geomaterials.
2. Explain bulk application of industrial by products for soil stabilization and ground improvement with or without admixtures.
3. Analyse and elucidate the behaviour of industrial byproducts subjected to contamination, various remediation and immobilization techniques.
4. Apply the knowledge for economical, environmental and sustainable infrastructure development.

Course Description

The course covers various sources of industrial byproducts in India, status and potential applications. Further, this course deals with utilization of industrial byproducts as geomaterial for soil stabilization and ground improvement with or without using admixtures. This course also emphasizes the advanced characterizations techniques of industrial by products and behaviour subjected to contamination, various remediation and immobilization techniques.

Course Content

Introduction to industrial byproducts and its types; characteristics and role of industrial byproducts and admixtures; purpose-based classification of soils; principles of soil stabilization and ground improvement; methods of stabilization using industrial byproducts with or without chemical admixtures such as lime, cement, bitumen and special chemicals; mechanisms, uses and limitations; advanced characterizations technique and use of fly ash, rice husk ash, biochar, marble waste, and quarry generated wastes, mine slurry, slag, and other waste materials for both shallow and deep soil stabilization and ground improvement; potential application of industrial wastes as geomaterials and its behaviour subjected to contamination agents; remediation and immobilization techniques of industrial byproducts; methods and applications of grouting; Application to embankments, excavations, foundations and sensitive soils.

Learning Outcome

At the end of the course, student would be able to:
1. Describe various sources and characteristics of industrial byproducts and their application as geomaterials.
2. Explain bulk application of industrial by products for soil stabilization and ground improvement with or without admixtures.
3. Understand the behaviour of industrial byproducts subjected to contamination, various remediation and immobilization techniques.
4. Apply the knowledge for economical, environmental and sustainable infrastructure development.

Assessment Method

Assignments, Quizzes, Term-paper project, Mid-semester examination and End-semester examination.

Textbooks:

1. Ingles, O.G. and Metcalf, J.B., Soil Stabilization, Principles and Practice, Butterworths, 1972.
2. Bowen, R., Grouting in Engineering Practice, Allied Science Publishers Ltd., 1975.
3. Jie Han, Principles and Practice of Ground Improvement, Wiley Publishers, 2015.

References:

1. Yong, R. N. and Warkentin, B. P. Soil properties and behaviour, Elsevier, 2012.
2. Mitchell, J. K. and Soga, K. Fundamentals of soil behaviour, Wiley, New York, 2005.
3. B.M. Das, Principle of Geotechnical Engineering, Cengage Learning, eighth Edition, 2013.
4. All relevant IS and international codes and relevant research papers/reports.

Course Number

CE6218

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Finite Element Method

Learning Mode

Lectures

Learning Objectives

1. Provide scientific and technical knowledge for the basis for the development of finite element analysis procedure.
2. Equip the students with a strong foundation and understanding for the finite element analysis process of the problems related to various civil and mechanical engineering.

Course Description

The course deals with understanding finite element analysis of various problems. This course provides the students an exposure for topics on analysis of problems related to various civil and mechanical engineering problems which are not covered in undergraduate design courses.

Course Content

Basic concepts of engineering analysis; Methods of weighted residuals and variational formulations; Finite element discretization; Shape function; Lagrange and serendipity families; Element properties, iso-parametric elements; Criteria for convergence; Numerical evaluation of finite element matrices (Gauss quadrature integration); Assemblage of elements; Analysis of plane stress/strain, axi-symmetric solids; Three dimensional stress analysis; Flow though porous media; Error analyses: estimate of error, error bounds; Solution technique: finite element programming, use of package programs.

Learning Outcome

At the end of the course, student would be able to:
1. Understand various numerical methods for analysing engineering problems through FEM.
2. Analysis of various civil and mechanical engineering problems.
3. Ability to analyse complex structural system.

Assessment Method

Assignments, Quizzes, Project work, Mid-semester examination and End-semester examination.

Textbooks/ Reference books:

1. T. R. Chandrapatula and A. D. Belegundu, Introduction to finite elements in engineering, Third Edition, Prentice Hall of India, 2001.
2. P. Seshu, Text book of finite element analysis, Prentice Hall of India, 2003.
3. J. N. Reddy, An introduction to the finite element method, McGraw Hill Inc. 1993.
4. R. D. Cook. D. S. Malkus. M. E. Plesha, and R. J. Witt, Concepts and application of finite element analysis, fourth Edition, John Wiley & Sons, 2002.
5. O.C. Zienkiewicz and R. L. Taylor, The Finite element method, Butterworth Heinemann (Vol. I and Vol. lI), 2000.
6. C.S. Krishnamoorthy, Finite Element Analysis, Theory and programming, Tata McGraw Hill, 1994.
7. K.J. Bathe, Finite Element Procedures in Engg. Analysis, Prentice Hall of India, 1996.
8. C.S. Desai and T. Kundu, Introduction to finite element method, CRC Press, 2001.

Course Number

CE6223

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Uncertainty, Risk and Reliability Analyses in Civil Engineering

Learning Mode

Lectures

Learning Objectives

1. Make familiar the concept of probability theory and statistics.
2. Gain knowledge on stochastic simulation methods.
3. Develop knowledge on risk and reliability analysis of structure.

Course Description

The course deals with the risk and reliability analysis and design of different civil engineering infrastructural system. Also, this course discusses about the basic probability theory and random field generation.

Course Content

Introduction and overview: Review of basic probability, Functions of random variables. Joint probability distribution, conditional distributions, Joint Normal distribution, Baysian Analysis, Analysis of variance (ANOVA), Application of central limit theorem; confidence interval, expected value, and return period, probability paper; testing of goodness-of-fit of distribution models, Random number generation – Monte Carlo simulations, Formulation of structural reliability problems: limit states, composite risk analysis, direct integration method, safety margin method, reliability index and safety factor; FORM and SORM methods, importance sampling and other variance reduction techniques, Reliability – historical development, applications, different measures of reliability; Component reliability - time to failure, Reliability-based maintenance, System reliability - representation of failure, series and parallel systems, redundancy, fault trees, Probability-based acceptance criteria: consequence of failure, concepts of risk, utility, Probability-based design, fragility analysis. Calibration of target reliability: reliability-based design codes.

Learning Outcome

At the end of the course, student would be able to:
1. Understanding concept of probability theory and application.
2. Risk and reliability analysis of civil engineering infrastructure.
3. Design of civil infrastructure based on risk and reliability.

Assessment Method

Assignments, Quizzes, Project work, Mid-semester examination and End-semester examination.

Textbooks/ Reference books:

1. A. Haldar and S. Mahadevan, Probability, Reliability, and Statistical Methods in Engineering Design, Wiley, 2000.
2. H. S. Ang and W. H. Tang, Probability Concepts in Engineering Planning and Design, John Wiley, 1975.
3. R. Ranganathan, Reliability Analysis and Design of Structures, Tata McGraw Hill, New Delhi, 1990.

Course Number

CE6228

Course Credit (L-T-P-C)

3-0-0-3

Course Title

Analytical Techniques for Infrastructure Systems Analysis

Learning Mode

Lectures

Learning Objectives

1. To provide knowledge of quantitative techniques with application potential for infrastructure systems.

Course Description

This course provides a comprehensive introduction to the analytical methods and tools used in the analysis of infrastructure (transportation) systems. The course focuses on the application of these techniques to real-world transportation systems and includes a mix of theoretical and practical content. Students will learn about various analytical techniques including but not limited to traffic flow theory, network analysis, demand forecasting, and system optimization. The course will cover both traditional methods such as regression analysis and newer techniques such as machine learning and data analytics. The course will also delve into the use of software tools for transportation analysis and modeling. Students will get hands-on experience with these tools through assignments and projects.

Course Content

Modelling and Simulation: Model Classification, Mathematical; Physical and Analog models, steps involved in simulation, Monte Carlo simulation, validation and verification of simulation models; Multivariate Data Analysis: Vectors and Matrices, Simple estimate of centroid, standard deviation, dispersion, variance and co-variance, correlation matrices, principal component analysis; Curve Fitting: Method of least squares, curvilinear regression, Multiple regression, checking adequacy of model, correlation, multiple linear regression; Queuing Theory: General structure, operating characteristics, deterministic queuing model, probabilistic queuing models, and simulation of queuing system; Forecasting Models: Moving averages, exponential smoothening, trend projections, causal models, time series analysis of vehicle growth & accidents; Neural Networks: Basic concepts; neural network architecture, back propagation networks.

Learning Outcome

At the end of the course, student would be able to:
1. Understand and Apply Modelling and Simulation Techniques
2. Perform Curve Fitting
3. Understand and Apply Queuing Theory
4. Perform Multivariate Data Analysis
5. Develop and Use Forecasting Models and Neural networks for the transportation related problems

Assessment Method

Assignments, Quizzes, Mid-semester examination and End-semester examination.

Textbooks/ Reference books:

1. Vohra, N.D., “Quantitative Techniques in Management”, Tata McGraw Hill, 2001.
2. Johnson, R. A. and Wichern, D.W., “Applied Multivariate Statistical Analysis”, Prentice Hall., 2003.
3. Johnson, R., “Probability and Statistics for Engineers”, Prentice Hall. 2009.
4. Hair, J. and Anderson, R., “Multivariate Data Analysis”, Prentice Hall. 2010.