Uncertainty quantification and global sensitivity analysis of complex chemical process using a generalized polynomial chaos approach
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- 作者：Pham Luu Trung Duonga ; Wahid Alib ; Ezra Kwokc ; Moonyong Leeb ; mynlee@yu.ac.kr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Generalized polynomial chaos ; Uncertainty quantification ; Process uncertainty ; Sensitivity analysis ; Monte-Carlo approach
- 刊名：Computers & Chemical Engineering
- 出版年：2016
- 出版时间：12 July 2016
- 年：2016
- 卷：90
- 期：Complete
- 页码：23-30
- 全文大小：1151 K
文摘
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A gPC based approach was applied to uncertainty quantification of complex chemical processes.
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The proposed gPC method was compared with the conventional MC/QMC methods.
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The proposed method reduces computational cost by 10–100 times while keeping prediction accuracy.
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Sobol’s sensitivity indices obtained directly from the surrogated gPC model reduce simulations further.