NDLI: An important boundary sampling method for reliability-based design optimization using kriging model

Content Provider	Springer Nature Link
Author	Chen, Zhenzhong Peng, Siping Li, Xiaoke Qiu, Haobo Xiong, Huadi Gao, Liang Li, Peigen
Copyright Year	2014
Abstract	Reliability-based design optimization (RBDO) combined with metamodel is a powerful tool to deal with variation of system output induced by uncertainties during practical engineering design. In this paper, the importance boundary sampling (IBS) method is proposed to enhance the efficiency of Kriging-model-based RBDO. Rather than fitting all the parts of the limit state constraints precisely within the design region, the proposed IBS mainly selects sample points on the critical parts of the limit state constraints. Two importance coefficients are proposed to identify these critical boundary parts: the first importance coefficient is determined by the objective function value; and the second one is calculated using the joint probability density value of the design variables. The sampling and optimization processes are conducted alternately to select the sample points more rationally. The computation capability of the proposed method is demonstrated using several mathematical RBDO problems and a box girder design application. The comparison results show that the proposed IBS method is very efficient.
Starting Page	55
Ending Page	70
Page Count	16
File Format	PDF
ISSN	1615147X
Journal	Structural and Multidisciplinary Optimization
Volume Number	52
Issue Number	1
e-ISSN	16151488
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-10-15
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Reliability-based design Uncertainty optimization Importance boundary sampling Importance coefficient Kriging model Theoretical and Applied Mechanics Computational Mathematics and Numerical Analysis Engineering Design
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Computer Graphics and Computer-Aided Design Control and Systems Engineering Computer Science Applications Software

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