A system active learning Kriging method for system reliability-based design optimization with a multiple response model

•A new method is proposed for system reliability-based design optimization.•The responses of all constraints from a multiple response model are considered.•Three system active learning functions are developed for different systems.•Results of four examples verify the accuracy and efficiency of propo...

Full description

Saved in:

Bibliographic Details
Published in:	Reliability engineering & system safety Vol. 199; pp. 106935 - 11
Main Authors:	Xiao, Mi, Zhang, Jinhao, Gao, Liang
Format:	Journal Article
Language:	English
Published:	Barking Elsevier Ltd 01.07.2020 Elsevier BV
Subjects:	Active learning Computer applications Confidence intervals Design Design optimization Harvesters Kriging Learning Limit states Monte Carlo simulation Multiple response model Random variables Reliability engineering Sensitivity analysis Statistical analysis System active learning function System failure probability System reliability System reliability-based design optimization (SRBDO) Upgrading Multiple response model System reliability-based design optimization (SRBDO) System active learning function Kriging System failure probability
ISSN:	0951-8320, 1879-0836
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!