1. |
CE5217 |
Geoinformatics for Engineers ▼
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3 |
0 |
0 |
3 |
Course Number
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CE5217
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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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Geoinformatics for Engineers [Even Semester/2nd Semester, M. Tech]
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Learning Mode
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Lectures
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Learning Objectives
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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.
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Course Description
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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.
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Course Outline
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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.
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Learning Outcome
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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.
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Assessment Method
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Assignments (10%), Quizzes (10%), Mid-semester examination (30%) and End-semester examination (50%).
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References:
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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. OxfordUniversity 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, FourthEdition, Pearson, 2017 5. Joseph, G & Jagannathan, C., Fundamentals of remote sensing(3rd edition), The Orient Blackswan, 2018.
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2. |
CE5218 |
Groundwater Hydrology ▼
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3 |
0 |
0 |
3 |
Course Number
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CE5218
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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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Groundwater Hydrology
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Learning Mode
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Lectures
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Learning Objectives
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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.
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Course Description
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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.
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Course Outline
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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.
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Learning Outcome
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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.
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Assessment Method
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Assignments, Quizzes, Mid-semester examination, and End-semester examination
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Text Books/ Reference Book:
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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
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3. |
CE5219 |
Open Channel Hydraulics ▼
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3 |
0 |
0 |
3 |
Course Number
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CE5219
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Course Credit (L-T-P-C)
|
3-0-0-3
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Course Title
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Open Channel Hydraulics
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Learning Mode
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Lectures
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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.
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Course Description
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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.
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Course Outline
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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.
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Learning Outcome
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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.
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Assessment Method
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Assignments, Quizzes, Mid-semester examination, and End-semester examination
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Text Books/ Reference Book:
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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).
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4. |
CE6218 |
Finite Element Method ▼
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3 |
0 |
0 |
3 |
Course Number
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CE6218
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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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Finite Element Method
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Learning Mode
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Lectures
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Learning Objectives
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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.
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Course Description
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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.
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Course Outline
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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.
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Learning Outcome
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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.
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Assessment Method
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Assignments, Quizzes, Project work, Mid-semester examination and End-semester examination.
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Textbooks/ Reference books:
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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.
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5. |
CE6219 |
Structural Health Monitoring ▼
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3 |
0 |
0 |
3 |
Course Number
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CE6219
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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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Structural Health Monitoring
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Learning Mode
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Lectures
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Learning Objectives
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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
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Course Description
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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.
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Course Outline
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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.
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Learning Outcome
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At the end of the course, student would be able to: - Perform sensor deployment, data acquisition, and analysis techniques used to detect and quantify structural damage. - Develop proficiency in deploying sensor technologies and data acquisition systems to monitor the health of various structures. - To analyse collected data, detect structural damage, and make informed decisions regarding maintenance and safety measures. - Use the methods in real-life applications.
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Assessment Method
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Assignments, Quizzes, Project work, Mid-semester examination and End-semester examination.
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Textbooks/ Reference books:
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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.
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6. |
CE6220 |
Condition Assessment and Retrofitting of Structures ▼
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3 |
0 |
0 |
3 |
Course Number
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CE6220
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Course Credit (L-T-P-C)
|
3-0-0-3
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Course Title
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Condition Assessment and Retrofitting of Structures
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Learning Mode
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Lectures
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Learning Objectives
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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.
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Course Description
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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.
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Course Outline
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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.
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Learning Outcome
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At the end of the course, student would be able to: - Introduce the application of different techniques for evaluation and retrofitting of buildings. - Present fundamental principles and methodologies for the design of various retrofitting techniques. - Estimate causes for distress and deterioration of structures. - NDT techniques for condition assessment of structures for identifying damages in structures. - Evaluate properties of distressed structural members. - Select retrofitting strategy suitable for distress and formulate guide lines for repair management of deteriorated structures
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Assessment Method
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Assignments, Quizzes, Project work, Mid-semester examination and End-semester examination.
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Textbooks/ Reference books:
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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.
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7. |
CE6223 |
Uncertainty, Risk and Reliability Analyses in Civil Engineering ▼
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3 |
0 |
0 |
3 |
Course Number
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CE6223
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Course Credit (L-T-P-C)
|
3-0-0-3
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Course Title
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Uncertainty, Risk and Reliability Analyses in Civil Engineering
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Learning Mode
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Lectures
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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.
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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.
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Course Outline
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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.
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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.
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Assessment Method
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Assignments, Quizzes, Project work, Mid-semester examination and End-semester examination.
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Textbooks/ Reference books:
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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.
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8. |
CE6228 |
Analytical Techniques for Infrastructure Systems Analysis ▼
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3 |
0 |
0 |
3 |
Course Number
|
CE6228
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Course Credit (L-T-P-C)
|
3-0-0-3
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Course Title
|
Analytical Techniques for Infrastructure Systems Analysis
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Learning Mode
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Theory
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Learning Objectives
|
To provide knowledge of quantitative techniques with application potential for Infrastructure systems.
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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.
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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.
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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
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Assessment Method
|
Assignments, Quizzes, Mid-semester examination and End-semester examination
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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
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9. |
CE6229 |
Advanced Flexible Pavement Analysis and Design ▼
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3 |
0 |
0 |
3 |
Course Number
|
CE6229
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Course Credit (L-T-P-C)
|
3-0-0-3
|
Course Title
|
Advanced Flexible Pavement Analysis and Design
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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
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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.
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Course Outline
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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
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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.
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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. Chakroborty, P. and Das, A. “Principles of Transportation Engineering.” PHI Learning, 2017.
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Reference books:
|
1. Ullidtz, P. “Pavement Analysis.” Elsevier, 1987. 2. M
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10. |
CE6230 |
Advanced Concrete Pavement Analysis and Design |
3 |
0 |
0 |
3 |
11. |
CE6231 |
Advanced Pavement Material Characterization |
3 |
0 |
0 |
3 |