Adaptive radial-based importance sampling method for structural reliability

被引:144
作者
Grooteman, Frank [1 ]
机构
[1] Natl Aerosp Lab NLR, NL-1059 CM Amsterdam, Netherlands
关键词
Importance sampling; Monte-Carlo simulation; Structural reliability; Failure probability; Adaptive;
D O I
10.1016/j.strusafe.2007.10.002
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In this paper an adaptive radial-based importance sampling (ARBIS) method is presented. The radial-based importance sampling (RBIS) method, excluding a beta-sphere from the sampling domain, is extended with an efficient adaptive scheme to determine the optimal radius beta of the sphere. The adaptive scheme is based on directional simulation. The underlying basic methods are presented briefly. Several numerical examples demonstrate the efficiency, accuracy and robustness of the scheme. As such, the ARBIS method can be applied as a black-box and is of particular interest in applications with a low probability of failure. for example in structural reliability. in combination with a small number of stochastic variables. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:533 / 542
页数:10
相关论文
共 16 条
[11]   RADIAL IMPORTANCE SAMPLING FOR STRUCTURAL RELIABILITY [J].
MELCHERS, RE .
JOURNAL OF ENGINEERING MECHANICS-ASCE, 1990, 116 (01) :189-203
[12]   IMPORTANCE SAMPLING IN STRUCTURAL SYSTEMS [J].
MELCHERS, RE .
STRUCTURAL SAFETY, 1989, 6 (01) :3-10
[13]   Directional methods for structural reliability analysis [J].
Nie, J ;
Ellingwood, BR .
STRUCTURAL SAFETY, 2000, 22 (03) :233-249
[14]   REMARKS ON A MULTIVARIATE TRANSFORMATION [J].
ROSENBLATT, M .
ANNALS OF MATHEMATICAL STATISTICS, 1952, 23 (03) :470-472
[15]   Computational stochastic mechanics -: recent advances [J].
Schuëller, GI .
COMPUTERS & STRUCTURES, 2001, 79 (22-25) :2225-2234
[16]  
Wu YT, 1989, PROBABILISTIC METHOD