Probabilistic Failure Analysis by Importance Sampling Markov Chain Simulation-Reference-Cited by-同舟云学术

Probabilistic Failure Analysis by Importance Sampling Markov Chain Simulation

Published:2004-03 Issue:3 Volume:130 Page:303-311
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Au S. K.¹

Affiliation:

1. Assistant Professor, School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9399%282004%29130%3A3%28303%29

Reference41 articles.

1. Computational statistical mechanics methodology, applications and supercomputing

2. Studies in Molecular Dynamics. I. General Method

3. Au S. K. (2001). “On the solution of first excursion problems by simulation with applications to probabilistic seismic performance assessment.” PhD Thesis in Civil Engineering EERL Rep. No. 2001-02 California Institute of Technology Pasadena. Available at URL http://www.ntu.edu.sg/home/cskau

4. A new adaptive importance sampling scheme for reliability calculations

5. Estimation of small failure probabilities in high dimensions by subset simulation

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