Subset simulation for structural reliability sensitivity analysis

Reliability Engineering and System Safety

Volumn 94, Issue 2, 2009, Pages 658-665

  Song, Shufang ^a   Lu, Zhenzhou ^a   Qiao, Hongwei ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

Author keywords

Conditional failure probability; Importance sampling (IS); Markov chain Monte Carlo (MCMC) simulation; Reliability sensitivity (RS); Subset simulation (Subsim)

Indexed keywords

FAILURE ANALYSIS; MARKOV PROCESSES; MONTE CARLO METHODS; NONLINEAR EQUATIONS; PROBABILITY; PROBABILITY DISTRIBUTIONS; QUALITY ASSURANCE; RAILROAD PLANT AND STRUCTURES; RANDOM PROCESSES; RAPID SOLIDIFICATION; RELIABILITY ANALYSIS; RISK ASSESSMENT; SENSITIVITY ANALYSIS; UNCERTAIN SYSTEMS;

CONDITIONAL FAILURE PROBABILITY; IMPORTANCE SAMPLING (IS); MARKOV CHAIN MONTE CARLO (MCMC) SIMULATION; RELIABILITY SENSITIVITY (RS); SUBSET SIMULATION (SUBSIM);

RELIABILITY;

EID: 54049134694     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2008.07.006     Document Type: Article

References (17)

1. Wu Y.T. Computational methods for efficient structural reliability and reliability sensitivity analysis. AIAA J 32 8 (1994) 1717-1723
2. Wu Y.T., and Sitakanta M. Variable screening and ranking using sampling-based sensitivity measures. Reliab Eng Syst Saf 91 (2006) 634-647
3. Mavris D, Roth B, Macsotai N. A method for probabilistic sensitivity analysis of commercial aircraft engines. In: Presented at the 14th ISABE, Florence, Italy, September 1999.
4. Liu H, Chen W, Sudjianto A. Relative entropy based method for global and regional sensitivity analysis in probabilistic design. In: Proceedings of DETC'04, ASME 2004 international design engineering technical conferences and computers and information in engineering conference, 2004.
5. Liu H, Chen W. Probabilistic sensitivity analysis methods for design under uncertainty. In: 10th AIAA/ISSMO multidisciplinary analysis and optimization conference, New York, 2004.
6. Melchers R.E., and Ahammed M. A fast approximate method for parameter sensitivity estimation in Monte Carlo structural reliability. Comput Struct 82 (2004) 55-61
7. Ahammed M., and Melchers R.E. Gradient and parameter sensitivity estimation for systems evaluated using Monte Carlo analysis. Reliab Eng Syst Saf 91 (2006) 594-601
8. Au S.K., and Beck J.L. Estimation of small failure probabilities in high dimensions by subset simulation. Prob Eng Mech 16 (2001) 263-277
9. Koutsourelakis P.S., Pradlwarter H.J., and Schueller G.I. Reliability of structures in high dimensions. Prob Eng Mech 19 (2004) 409-423
10. Ching J., Au S.K., and Beck J.L. Reliability estimation for dynamical systems subject to stochastic excitation using subset simulation with splitting. Comput Methods Appl Mech Eng 194 (2005) 1557-1579
11. Ching J., Beck J.L., and Au S.K. Hybrid subset simulation method for reliability estimation of dynamical systems subject to stochastic excitation. Prob Eng Mech 20 (2005) 199-214
12. Au S.K. Reliability-based design sensitivity by efficient simulation. Comput Struct 83 (2005) 1048-1061
13. Au S.K. On the solution of first excursion problems by simulation with applications to probabilistic seismic performance assessment [D] (2001), California Institute of Technology, Pasadena, CA
14. Song S.F., and Lu Z.Z. A high-precision and effective sequential importance sampling method for reliability analysis of small failure probability in high dimensions. J Northwest Polytechn Univ 24 6 (2006) 782-786 [in Chinese]
15. Lu Z.Z., Liu C.L., and Yue Z.F. Probabilistic safe analysis of the working life of a powder-metallurgy turbine disk. Mater Sci Eng A 395 (2005) 153-159
16. Mei G. Research on structural reliability by nonlinear stochastic finite element method [D] (2005), Tsinghua University, Beijing
17. Zhao Y.G., and Alfredo H.S. System reliability assessment by method of moments [J]. Struct Eng 129 10 (2003) 1341-1349