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An efficient uncertainty propagation analysis method of non-parameterized P-boxes based on dimension-reduction integral and maximum entropy estimation

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成果类型:
期刊论文
作者:
Xie, Huichao;Li, Jinwen;Liu, Haibo;Hu, Hao;Liao, Daihui
通讯作者:
Liao, DH
作者机构:
[Hu, Hao; Xie, Huichao] Cent South Univ Forestry & Technol, Coll Mat Sci & Engn, Changsha 410004, Peoples R China.
[Liao, DH; Liao, Daihui; Li, Jinwen] Cent South Univ Forestry & Technol, Coll Mech & Elect Engn, Changsha 410004, Peoples R China.
[Li, Jinwen] BYD Auto Ind Co Ltd, Auto Engn Res Inst, Shenzhen 518118, Peoples R China.
[Liu, Haibo] Hunan Univ Sci & Technol, Hunan Prov Key Lab Hlth Maintenance Mech Equipment, Xiangtan 411201, Peoples R China.
通讯机构:
[Liao, DH ] C
Cent South Univ Forestry & Technol, Coll Mech & Elect Engn, Changsha 410004, Peoples R China.
语种:
英文
关键词:
Uncertainty propagation;CDF bounds;Non-parameterized P-box;Maximum entropy estimation;Dimension-reduction integral
期刊:
Structural and Multidisciplinary Optimization
ISSN:
1615-147X
年:
2023
卷:
66
期:
12
页码:
1-12
基金类别:
National Natural Science Foundation of China [51905165]; National Natural Science Foundation of China
机构署名:
本校为第一且通讯机构
院系归属:
材料科学与工程学院
机电工程学院
摘要:
The purpose of the non-parameterized P-box uncertainty propagation analysis is to calculate the cumulative distribution function (CDF) bounds of the response function based on the CDF bounds of the input parameters for a system. Generally, the uncertainty propagation analysis of non-parameterized P-box involves a double-layer nested analysis problem, which leads to excessive and unacceptable computational burden. Therefore, an efficient uncertainty propagation analysis method based on dimension-reduction integral is proposed for the problem with non-parameterized P-box parameters to obtain bou...

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