Reliability-Based Structural Design
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Reliability-Based Structural Design
Why enroll
This course is highly valuable for postgraduate students, researchers, and practicing structural engineers who want to move beyond conventional design methods. It helps learners understand uncertainties in loads, material properties, and modeling assumptions, enabling more rational and optimized structural designs. The knowledge gained is especially useful for advanced analysis, research, and the development of modern design codes and standards.
Course content
The course is readily available, allowing learners to start and complete it at their own pace.
Reliability-Based Structural Design
36 Lectures
1675 min
Lec 1: Introduction
Preview
18 min
Lec 2: Random Variable
34 min
Lec 3: Functions of Random Variables
43 min
Lec 4: Joint Distributions
56 min
Lec 5: Mt. Gen. Func. & CLT
37 min
Lec 6: Theory of Estimation
43 min
Lec 7: Goodness of Fit
41 min
Lec 8: MVFOSM
29 min
Lec 9: MVFOSM Contd.
37 min
Lec 10: Hasofer-Lind Rel. Index
40 min
Lec 11: Rackwitz's Algorithm Contd.
46 min
Lec 12: HL-RF for Non-Normal Problems
42 min
Lec 13: HL-RF for Correlated Problems
43 min
Lec 14: FORM using MATLAB
72 min
Lec 15: FORM using MATLAB Contd.
65 min
Lec 16: FORM Using FEM
29 min
Lec 17: Morgenstern Model
40 min
Lec 18: Nataf Model
26 min
Lec 19: Rosenblatt Transformation
23 min
Lec 20: Brietung's Model
42 min
Lec 21: Tvedt's Model
40 min
Lec 22: Monte-Carlo Simulation
75 min
Lec 23: Importance Sampling
55 min
Lec 24: Least Square Curve Fitting
58 min
Lec 25: Orthogonal Polinomials
32 min
Lec 26: RSM
82 min
Lec 27: Stochastic Response Surface Method
64 min
Lec 28: Moving Least Square Method
40 min
Lec 29: Adaptive–SRSM
74 min
Lec 30: Partial Safety Factors
46 min
Lec 31: Optimal Partial Safety Factors
31 min
Lec 32: FORM - Revisited
66 min
Lec 33: Subset Simulation
42 min
Lec 34: Applications
56 min
Lec 35: Applications Contd.
59 min
Lec 36: Introduction to Stochastic FEM
49 min
Course details
The Reliability-Based Structural Design course introduces probabilistic methods used to assess and design structures under uncertainty. Instead of relying solely on deterministic safety factors, the course focuses on reliability theory to quantify the probability of failure and ensure consistent levels of structural safety. It provides a modern approach to structural design aligned with performance-based and risk-informed engineering practices.
SOURCE-youtube [NPTEL IIT guwahati]
Course suitable for
Oil & Gas Civil & Structural
Key topics covered
Fundamentals of probability and statistics for structural engineering
Sources of uncertainty in structural design
Random variables and probability distributions
Limit state functions and failure modes
Reliability indices and probability of failure
First-Order and Second-Order Reliability Methods (FORM/SORM)
Monte Carlo simulation techniques
Load and resistance factor calibration
System reliability and redundancy
Applications in structural and geotechnical design
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