Starting a new Lecture Notes Series on Reliability-Based Structural Design
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Reliability-Based Structural Design By Lecture Notes together!
Lecture 1: Reliabilty-Based Structural Design
Lecture 2: Lec 1: Introduction
Lecture 3: Lec 2: Random Variable
Lecture 4: Lec 3: Functions of Random Variables
Lecture 5: Lec 4: Joint Distributions
Lecture 6: Lec 5: Mt. Gen. Func. & CLT
Lecture 7: Lec 6: Theory of Estimation
Lecture 8: Lec 7: Goodness of Fit
Lecture 9: Lec 8: MVFOSM
Lecture 10: Lec 9: MVFOSM Contd.
Lecture 11: Lec 10: Hasofer-Lind Rel. Index
Lecture 12: Lec 11: Rackwitz's Algorithm Contd.
Lecture 13: Lec 12: HL-RF for Non-Normal Problems
Lecture 14: Lec 13: HL-RF for Correlated Problems
Lecture 15: Lec 14: FORM using MATLAB
Lecture 16: Lec 15: FORM using MATLAB Contd.
Lecture 17: Lec 16: FORM Using FEM
Lecture 18: Lec 17: Morgenstern Model
Lecture 19: Lec 18: Nataf Model
Lecture 20: Lec 19: Rosenblatt Transformation
Lecture 21: Lec 20: Brietung's Model
Lecture 22: Lec 21: Tvedt's Model
Lecture 23: Lec 22: Monte-Carlo Simulation
Lecture 24: Lec 23: Importance Sampling
Lecture 25: Lec 24: Least Square Curve Fitting
Lecture 26: Lec 25: Orthogonal Polinomials
Lecture 27: Lec 26: RSM
Lecture 28: Lec 27: Stochastic Response Surface Method
Lecture 29: Lec 28: Moving Least Square Method
Lecture 30: Lec 29: Adaptive–SRSM
Lecture 31: Lec 30: Partial Safety Factors
Lecture 32: Lec 31: Optimal Partial Safety Factors
Lecture 33: Lec 32: FORM - Revisited
Lecture 34: Lec 33: Subset Simulation
Lecture 35: Lec 34: Applications
Lecture 36: Lec 35: Applications Contd.
Lecture 37: Lec 36: Introduction to Stochastic FEM