TY - JOUR
T1 - Directional simulation for sensitivity analysis of structural reliability
AU - Song, Shufang
AU - Lu, Zhenzhou
AU - Zheng, Chunqing
PY - 2008/9
Y1 - 2008/9
N2 - Directional simulation reduces the dimension of the limit state probability integral by identifying a set of directions for integration, integrating either in closed-form or by approximation in those directions, and estimating the failure probability as the average of the directional integrals. But when the limit state is an approximately plane, a majority of directions may be inefficient. In order to improve the simulation efficiency, reliability sensitivity analysis methods are proposed on the basis of the directional (importance) simulation. The idea of reliability sensitivity analysis based on directional (importance) simulation is that according to the χ2 distribution characteristics of basic variables in the standard normal space and the relation between radius vector and distribution parameters, the formulae of reliability sensitivity are derived in detail by using the chain derivative rule in this paper. The results of these given numerical examples show that these proposed methods are both efficiency and precision.
AB - Directional simulation reduces the dimension of the limit state probability integral by identifying a set of directions for integration, integrating either in closed-form or by approximation in those directions, and estimating the failure probability as the average of the directional integrals. But when the limit state is an approximately plane, a majority of directions may be inefficient. In order to improve the simulation efficiency, reliability sensitivity analysis methods are proposed on the basis of the directional (importance) simulation. The idea of reliability sensitivity analysis based on directional (importance) simulation is that according to the χ2 distribution characteristics of basic variables in the standard normal space and the relation between radius vector and distribution parameters, the formulae of reliability sensitivity are derived in detail by using the chain derivative rule in this paper. The results of these given numerical examples show that these proposed methods are both efficiency and precision.
KW - Control parameter
KW - Directional importance sampling density function
KW - Directional simulation
KW - Reliability and sensitivity
UR - http://www.scopus.com/inward/record.url?scp=54049095605&partnerID=8YFLogxK
M3 - 文章
AN - SCOPUS:54049095605
SN - 0254-7805
VL - 29
SP - 264
EP - 271
JO - Guti Lixue Xuebao/Acta Mechanica Solida Sinica
JF - Guti Lixue Xuebao/Acta Mechanica Solida Sinica
IS - 3
ER -