CE 281 STRUCTURAL
RELIABILITY
Credits: 3:0
August-December
Instructor: C
Background
Uncertainties are
ubiquitous in structural engineering. Civil engineering structures are to be
designed for loads created by environmental actions like earthquakes and wind.
These actions are exceptionally uncertain in their manifestations. Materials
used in civil engineering constructions also display wide scatter in their
engineering properties. Structural engineering activities, on one hand, lead to
increase in societal wealth, and, on the other hand, these activities also make
society vulnerable to risks. A structural engineer is accountable for the
decisions that he takes. A hallmark of professionalism is to quantify
the risks and benefits involved. The subject of structural reliability offers a
rational framework to quantify uncertainties mathematically. The subject
combines theories of probability, random variables and random processes with
principles of structural mechanics and forms the basis on which modern
structural design codes are developed. The present course aims to introduce the
basics of the structural reliability analysis procedures. The ME course
students would benefit from the course by learning the basics of reliability
based design and principles underlying code calibration. For research students,
the course would provide the groundwork to embark upon research in this field.
Syllabus
Introduction to probability and random variables. Formulation
of reliability for structural components and systems. Exact
solutions, first- and second-order reliability methods. Reliability indices. Simulation based methods. Variance reduction techniques. Implicit performance function
and response surface modeling. Basis for probabilistic design
codes. Reliability sensitivity measures. Systems reliability. Stochastic load models and load
combination. Time-variant and finite element reliability
methods. Introduction to stochastic FEM.
Pre-requisites
Books on Probability, Random variables and Random processes
1. A Papoulis, 1991,
Probability, random variables and stochastic processes, 3rd Edition,
2. J R Benjamin and C A Cornell, 1970, Probability, statistics and decisions for
civil engineers, John Wiley,
3. A H S Ang
& W H Tang, 1975, Probability concepts in engineering and design, Volume 1
- Basic concepts, John Wiley, NY
Books on Structural Reliability
1. H O Madsen,
2. P Throft-Christensen
& Y Murotsu, 1986, Application of structural
systems reliability theory, Springer Verlag,
3. R E Melchers,
1999, Structural reliability: analysis and prediction, 2nd Edition,
John Wiley,
4. A H S Ang
& W H Tang, 1984, Probability concepts in engineering planning and design,
Volume II Decision, Risk & reliability, John Wiley, NY.
5.
6. Haldar, A., and Mahadevan, S. (2000). Reliability assessment using
stochastic finite element analysis. John Wiley and Sons,
7. Haldar, A., and Mahadevan, S. (2000). Probability, reliability and
statistical methods in engineering design. John Wiley and Sons,
8. Ranganathan, R. (1999). Structural
reliability analysis and design. Jaico Publishing
House, Mumbai.
Books on probabilistic structural mechanics
1. C (Raj)
Sundararajan, 1995, Probabilistic structural mechanics
handbook, Chapman and Hall, NY.
2. N C Nigam,
1983, Introduction to random vibrations, MIT press,
3. Y K Lin, 1967, Probabilistic
theory of structural dynamics,
4. I Elishakoff,
1983, Probabilistic methods in theory of structures, John Wiley,
5. V V
Bolotin, 1969, Statistical methods in structural
mechanics, Holden-Day, San Fransisco.
6. G Augusti,
A Baratta & F Casciati,
1984, Probabilistic methods in structural engineering,
7.
M Tichy and M Vorlicek,
1975, Statistical theory of concrete structures, Irish University Press,
Shannon.
Course Objectives:
1. Provide a brief review of
mathematical tools for quantifying uncertainties using theories of probability,
random variables and random processes.
2. To develop the theory of
methods of structural reliability based on concept of reliability indices. This
includes discussions on FORM and SORM.
3. To introduce methods of
reliability analysis using
4. To explain the basics of
code calibration.
5. To provide the necessary
background to carry out reliability based design.
6. To prepare the ground for
research students to undertake research in this field.
Evaluation scheme
1. 3 Tests of 30% weight. These
tests are held after every 12 hours of lectures.
2. 3 Assignments with 20% weight.
3.
Final exam/term paper presentation of 50% weight.