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research-article

A Radial based Centralized Kriging Method for System Reliability Assessment

[+] Author and Article Information
Yao Wang

China Academy of Launch Vehicle Technology, Beijing 100076, China
wangyao87@hotmail.com

Dongpao Hong

China Academy of Launch Vehicle Technology, Beijing 100076, China
dp_hong@hotmail.com

Xiaodong Ma

China Academy of Launch Vehicle Technology, Beijing 100076, China
ma_xiaodong@hotmail.com

Hairui Zhang

China Academy of Launch Vehicle Technology, Beijing 100076, China
zhang_hairui@hotmail.com

1Corresponding author.

ASME doi:10.1115/1.4039919 History: Received October 16, 2017; Revised April 01, 2018

Abstract

System reliability assessment is a challenging task when using computationally intensive models. In this work, a radial based centralized Kriging method is proposed for achieving high efficiency and accuracy. The method contains two components: Kriging based system most probable point (MPP) search and radial based centralized sampling. The former searches for the system MPP by progressively updating Kriging models regardless of the nonlinearity of the performance functions. The latter refines the Kriging models with the training points collected from pre-generated samples. It concentrates the sampling in the important high-probability density region. Both components utilize a composite criterion to identify the critical Kriging models for system failure. The final Kriging models are sufficiently accurate only at those sections of the limit states that bound the system failure region. Its efficiency and accuracy are demonstrated via application to three examples.

Copyright (c) 2018 by ASME
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