1. |
CE5217 |
Geoinformatics for Engineers ▼
|
3 |
0 |
0 |
3 |
Course Credit (L-T-P-C)
|
3-0-0-3
|
Course Title
|
Geoinformatics for Engineers [Even Semester/2nd Semester,
M.Tech]
|
Learning Mode
|
Lectures
|
Learning Objectives
|
Complies with PLOs 1, 2 & 3- 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 Outline
|
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 Heywood Sarah, Cornelius, and Steve
Carver:An Introduction to Geographical Information Systems.
Pearson Education. New Delhi, 2002. 4. Jensen,J.R.,
Introductory digitalimage processing: a remote
sensingperspective, Fourth Edition, Pearson, 2017 5. Joseph,
G & Jagannathan, C., Fundamentals of remote sensing(3rd
edition), The Orient Blackswan, 2018.
|
|
2. |
CE5218 |
Groundwater Hydrology ▼
|
3 |
0 |
0 |
3 |
Course Credit (L-T-P-C)
|
3-0-0-3
|
Course Title
|
Groundwater Hydrology
|
Learning Mode
|
Lectures
|
Learning Objectives
|
Complies with PLO-1, 2, 3, 4, and 5 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 Outline
|
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
|
|
3. |
CE5219 |
Open Channel Hydraulics ▼
|
3 |
0 |
0 |
3 |
Course Credit (L-T-P-C)
|
3-0-0-3
|
Course Title
|
Open Channel Hydraulics
|
Learning Mode
|
Lectures
|
Learning Objectives
|
Complies with PLO 1, 2, 3, 4 and 5
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 Outline
|
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).
|
|
4. |
CE6218 |
Finite Element Method ▼
|
3 |
0 |
0 |
3 |
Course Credit (L-T-P-C)
|
3-0-0-3
|
Course Title
|
Finite Element Method
|
Learning Mode
|
Lectures
|
Learning Objectives
|
Objective for learning this course are
Lecture: 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 Outline
|
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 Lecture: 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.
|
|
5. |
CE6219 |
Structural Health Monitoring ▼
|
3 |
0 |
0 |
3 |
Course Credit (L-T-P-C)
|
3-0-0-3
|
Course Title
|
Structural Health Monitoring
|
Learning Mode
|
Lectures
|
Learning Objectives
|
Objective for learning this course are
Lecture: 1. To develop basic understanding on health
monitoring of various civil engineering structures. 2. Become
proficient in dealing with commonly used approaches/ algorithms
through a fundamental understanding of the basics. 3.
Familiar with techniques pertaining to heath assessment of
various structures like building, bridge, heritage structures
etc. 4. Become acquainted with some advanced techniques line
with the state-of-the-art in SHM domain
|
Course Description
|
This course explores structural health monitoring methods and
technologies for assessing the condition and performance of
various structures. Case studies on civil infrastructures will
be examined to illustrate SHM principles in practice.
Additionally, the course covers emerging trends including
advancements in sensor technology and data analytics for
predictive maintenance.
|
Course Outline
|
Introduction to Structural Health Monitoring (SHM): Definition &
requirement for SHM, SHM of a bridge, monitoring historical
buildings; Non-Destructive Testing (NDT): Classification of NDT
procedures, visual inspection, half-cell electrical potential
methods, Schmidt Rebound Hammer Test, resistivity measurement,
electro-magnetic methods, radiographic Testing, ultrasonic
testing, Infra-Red thermography, ground penetrating radar, radio
isotope gauges etc., case studies of a few NDT procedures on
bridges; Condition Survey & NDE of Concrete Structures:
Definition and objective of Condition survey, stages of
condition survey (Preliminary, Planning, Inspection and Testing
stages), possible defects in concrete structures, quality
control of concrete structures; Vibration-based monitoring:
Frequency-domain and time-domain analysis, Experimental modal
analysis, application of damage detection methods on civil
infrastructures.
|
Learning Outcome
|
At the end of the course, student would be able to: 1. Perform
sensor deployment, data acquisition, and analysis techniques
used to detect and quantify structural damage. 2. Develop
proficiency in deploying sensor technologies and data
acquisition systems to monitor the health of various
structures. 3. To analyse collected data, detect structural
damage, and make informed decisions regarding maintenance and
safety measures. 4. Use the methods in real-life
applications.
|
Assessment Method
|
Assignments, Quizzes, Project work, Mid-semester examination and
End-semester examination.
|
Textbooks/ Reference books:
|
1. Daniel J. Inman, Charles R. Farrar, Vicente Lopes Junior,
Valder Steffen Junior, Damage Prognosis: For Aerospace, Civil
and Mechanical Systems, John Wiley & Sons, 2005. 2.
Chee-Kiong Soh, Yaowen Yang, Suresh Bhalla (Eds.), Smart
Materials in Structural Health Monitoring, Control and
Biomechanics, Springer, 2012.
|
|
6. |
CE6220 |
Condition Assessment and Retrofitting of Structures ▼
|
3 |
0 |
0 |
3 |
Course Credit (L-T-P-C)
|
3-0-0-3
|
Course Title
|
Condition Assessment and Retrofitting of
Structures
|
Learning Mode
|
Lectures
|
Learning Objectives
|
Objective for learning this course are
Lecture: 1. Understand the background of condition assessment,
repair, and strengthening of structures. 2. Understand the
strategies of surface repair and retrofitting techniques. 3.
Attain knowledge of rehabilitation of existing building.
|
Course Description
|
The course deals with the evaluation and strengthening of
existing structures. This course provides an understanding of
existing non-destructive and destructive methods for condition
assessment of structures. The students shall learn about various
techniques for the strengthening of structures.
|
Course Outline
|
Distress identification and repair management: causes of distress
in structures, deterioration model of concrete and moisture
effects. Preliminary inspection: planning stage, visual
inspection and detailed inspection; Evaluation of concrete
buildings: destructive testing systems, non-destructive testing
techniques, semi-destructive testing techniques, corrosion
potential assessment, half-cell potentiometer test, resistivity
measurement, identification and estimation of damage. Evaluation
of strength of existing structures and analysis necessary to
identify critical sections; Surface repair and retrofitting
techniques: strategy and design, selection of repair materials,
surface preparation, bonding repair materials to existing
concrete, placement methods; Strengthening techniques: beam
shear capacity strengthening, shear transfer strengthening
between members, column strengthening, flexural strengthening,
and crack stabilization. Guidelines for seismic rehabilitation
of existing buildings, seismic vulnerability and strategies for
seismic retrofit.
|
Learning Outcome
|
At the end of the course, student would be able to: 1.
Introduce the application of different techniques for evaluation
and retrofitting of buildings. 2. Present fundamental
principles and methodologies for the design of various
retrofitting techniques. 3. Estimate causes for distress and
deterioration of structures. 4. NDT techniques for condition
assessment of structures for identifying damages in
structures. 5. Evaluate properties of distressed structural
members. 6. Select retrofitting strategy suitable for
distress and formulate guide lines for repair management of
deteriorated structures
|
Assessment Method
|
Assignments, Quizzes, Project work, Mid-semester examination and
End-semester examination.
|
Textbooks/ Reference books:
|
1. ASCE/SEI 41-23 Seismic Evaluation and Retrofit of Existing
Buildings. 2023. 2. Varghese P.C., “Maintenance, Repair &
Rehabilitation and Minor Works of Buildings” 1st Edition, PHI
Learning Private Ltd., New Delhi., 2014. 3. Santhakumar A.R.,
“Concrete Technology” Oxford University Press, 2007, New
Delhi 4. CPWD Handbook on Repair and Rehabilitation of RCC
buildings, Govt. of India Press, New Delhi. 5. Emmons, P.H.,
“Concrete Repair and Maintenance”, Galgotia Publication.
2001. 6. Bungey, S., Lillard, G. and Grantham, M.G., “Testing
of Concrete in Structures”, Taylor and Francis. 2001. 7.
Malhotra, V.M. and Carino, N.J., “Handbook on Non-destructive
Testing of Concrete”, CRC Press. 2004. 8. Bohni, H.,
“Corrosion in Concrete Structures”, CRC Press. 2005. 9. ATC-
40: Seismic Evaluation and Retrofit of Concrete Buildings, Vol.
1 & 2. 1997. 10. M.J.N. Priestley, Seible, F. and Calvi,
G.M., “Seismic Design and Retrofit of Bridges”, John Wiley.
1996.
|
|
7. |
CE6223 |
Uncertainty, Risk and Reliability Analyses in Civil Engineering ▼
|
3 |
0 |
0 |
3 |
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
|
Objective for learning this course are
Lecture: 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 Outline
|
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 Lecture: 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.
|
|
8. |
CE6228 |
Analytical Techniques for Infrastructure Systems Analysis ▼
|
3 |
0 |
0 |
3 |
Course Number
|
CE6228: Analytical Techniques for Infrastructure Systems
Analysis
|
Course Credit (L-T-P-C)
|
3-0-0-3
|
Course Title
|
Analytical Techniques for Infrastructure Systems
Analysis
|
Learning Mode
|
Theory
|
Learning Objectives
|
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
|
|
9. |
CE6229 |
Advanced Flexible Pavement Analysis and Design ▼
|
3 |
0 |
0 |
3 |
Course
|
CE6229: Advanced Flexible Pavement Analysis and
Design
|
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, Backcalculation
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 .
|
|
10. |
CE6230 |
Advanced Concrete Pavement Analysis and Design ▼
|
3 |
0 |
0 |
3 |
CE6230: Advanced Concrete Pavement Analysis and Design
Course
|
CE6230: Advanced Concrete Pavement Analysis and Design
|
Course Credit
(L-T-P-C)
|
3-0-0-3
|
Course Title
|
Advanced Concrete Pavement Analysis and Design
|
Learning Mode
|
Lectures
|
Learning Objectives
|
Complies with PLO number – 1, 2 and 4
1. Differentiate between the various Portland Cement Concrete pavement systems.
2. To provide knowledge of recent developments in concrete material characterization for rigid pavement analysis.
3. Train students to design concrete pavement and overlays.
4. Learn computation of stress distribution and distress mechanisms in rigid pavement.
5. Explain the underlying mechanisms associate with load and material related distresses.
|
Course Description
|
This course will discuss fundamental concepts in design and analysis of rigid pavement. Theoretical models for analysis of rigid pavement systems. Evaluation and application of current design practices related to rigid pavements. Course will cover Empirical and Mechanistic-Empirical pavement design approaches. Students will also learn different mechanisms associated with distress in rigid pavements.
|
Course Outline
|
INTRODUCTION TO PCC PAVEMENTS: Typical pavement cross-section and plan, Types of PCC pavements, Jointed systems, CRCP, Overlays, 2-lift systems, Precast systems, Prestressed-Post tension systems, Evolution of pavement design, Empirical and Mechanistic-Empirical designs.
OVERVIEW OF AASHTO 86/93: Significant inputs needed for the design, Serviceability concept, Impact of inputs on the slab thickness-sensitivity, Limitations of the design process, Need for a systems approach to design-M-E PDG.
PCC PAVEMENT DISTRESSES: Functional and structural distress, Load related distress, Material related distress, Underlying mechanism(s) of distresses, Relationship between distress mechanism(s) and design.
PCC PAVEMENT RESPONSE: Load related response, Thermal response.
Material Characterization: Fresh mixture properties, Mechanical properties, Thermal properties, Fracture properties, Durability properties.
Traffic Characterization: ESALs, Load Spectra.
PCC Design Methods (New and Overlays): PCA design method, AASHTO’98, M-E PDG.
CONSTRUCTION OF PCC PAVEMENTS: Conventional pavement construction, Two-lift construction, Modular pavement construction, Concrete Overlays.
SPECIAL TOPICS IN PCC PAVEMENTS: Porous concrete, Pannel concrete, Roller Concrete.
|
Learning Outcome
|
At the end of the course, student would be able to:
1. Design rigid pavements using Indian Codes and learn best practices.
2. Ability to compute stress-strain distribution in rigid pavement.
3. Identify different type of distresses in rigid pavement.
4. Identify factors influencing rigid pavement design.
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Assessment Method
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Assignments , Quizzes , Mid-semester examination and End-semester examination .
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11. |
CE6231 |
Advanced Pavement Material Characterization ▼
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CE6231: Advanced Pavement Material Characterization
Course
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CE6231: Advanced Pavement Material Characterization
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Course Credit
(L-T-P-C)
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3-0-0-3
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Course Title
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Advanced Pavement Material Characterization
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Learning Mode
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Lectures
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Learning Objectives
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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 mix.
- To understand different type of waste and recycled materials used in road construction.
- To understand quality control plan in road construction.
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Course Description
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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.
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Course Outline
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Characterization of Pavement Materials: (1) Asphalt mix: Definitions, Production types and Classification of asphalt mix. (2) Aggregates: Definitions, Sources, Production types, Engineering and Consensus properties. (3) Asphalt binder: Definitions, Sources, Production types, Chemistry and Physical properties, Performance tests and Specifications, Specifications for modified binders. (4) Soil: Definitions, Classification and Engineering properties. (5) Emulsion: Definitions, Classification and Engineering properties; Image based material evaluation, non-destructive testing of material properties.
Advance topics in Asphalt Binder and Mixes: Performance grading of asphalt binder, Binder modification, Superpave mix design, Design using recycled materials.
Asphalt Mix Modeling: Introduction to viscoelasticity, Rheological properties – viscoelastic models, Viscoplastic models, nonlinear viscoelasticity, Interconversion of viscoelastic properties.
Failure Modeling: Fatigue Models, Rutting models, Moisture damage mechanism.
Unbound materials: Nonlinearity in fine and coarse grained material; Stabilized granular layer, Design of stabilized materials.
Quality Control and Tolerance: Field construction, Quality control plan, Control charts, QA/QC tests.
Software: ABAQUS
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Learning Outcome
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At the end of the course, student would be able to:
- Understand different conventional and recycled materials used in road construction?
- Select and design material for road construction.
- Evaluate pavement material based on performance related properties.
- Develop quality control plan for pavement materials in road construction projects.
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Assessment Method
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Assignments , Quizzes , Mid-semester examination and End-semester examination .
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