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Uncertainty quantification for structural optimal design based on evidence theory

Content Provider	Springer Nature Link
Author	Hu, Sheng yong Luo, Jun
Copyright Year	2015
Abstract	Uncertainty design can take account of aleatory and epistemic uncertainty in optimal processes. Aleatory uncertainty and epistemic uncertainty can be expressed as evidence theory uniformly, and evidence theory is used to describe the uncertainty. Transferring and response with evidence theory for structural optimal design are introduced. The principle of response evaluation is also set up. Finally, the cantilever beam in a test system is optimized in the introduced optimization process, and the results are estimated by the evaluation principle. The optimal process is validated after the optimization of beam.
Starting Page	338
Ending Page	343
Page Count	6
File Format	PDF
ISSN	10071172
Journal	Journal of Shanghai Jiaotong University (Science)
Volume Number	20
Issue Number	3
e-ISSN	19958188
Language	English
Publisher	Shanghai Jiaotong University Press
Publisher Date	2015-10-23
Publisher Place	Shanghai
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	aleatory uncertainty epistemic uncertainty optimal design evidence theory Electrical Engineering Materials Science Computer Science Architecture Life Sciences
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

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