文献类型：期刊文献

英文题名：A Moving Kriging Interpolation Response Surface Method for Structural Reliability Analysis

作者：Zhao, W.[1];Liu, J. K.[2];Li, X. Y.[1];Yang, Q. W.[3];Chen, Y. Y.[4]

机构：[1]Jinan Univ, Minist Educ China, Key Lab Disaster Forecast & Control Engn, Guangzhou 510632, Guangdong, Peoples R China;[2]Sun Yat Sen Univ, Dept Mech, Guangzhou 510275, Guangdong, Peoples R China;[3]Shaoxing Univ, Dept Civil Engn, Shaoxing 312000, Peoples R China;[4]Guangzhou Univ, Minist Educ China, Key Lab Eathquake Resistance Eathquake Mitigat &, Guangzhou 510405, Guangdong, Peoples R China

年份：2013

卷号：93

期号：6

起止页码：469

外文期刊名：CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES

收录：SCI-EXPANDED(收录号：WOS:000327682500003)、、EI(收录号：20140217185271)、Scopus(收录号：2-s2.0-84891588382)、WOS

基金：This work is jointly supported by the NSFC (10972241, 11202138, 51208230 and 11032005), New Teacher Fund for Doctor Station, the Ministry of Education (20114401120012) and FDYT (LYM10022)

语种：英文

外文关键词：Response surface method; Moving Kriging interpolation; Limit state function; Structural reliability

外文摘要：In order to obtain reliable structural design, it is of extreme importance to evaluate the failure probability, safety levels of structure (reliability analysis) and the effect of a change in a variable parameter on structural safety (sensitivity analysis) when uncertainties are considered. With a computationally cheaper approximation of the limit state function, various response surface methods (RSMs) have emerged as a convenient tool to solve this especially for complex problems. However, the traditional RSMs may produce large errors in some conditions especially for those highly non-linear limit state functions. Instead of the traditional least squares approximation, in the present paper, a new RSM is proposed which employs moving Kriging interpolation, based on the axial experimental points selected from the region where the most probable failure point (MPFP) is likely to exist to construct the substitute response surface. The proposed method is illustrated by comparing with the results obtained from first order reliability method (FORM) and other conventional RSMs with reference to specific structural reliability analysis problems. The results show that the proposed method improves the accuracy of the reliability analysis with a reasonable computational cost, and could more quickly approach the exact solution.