题名 | An adaptive response surface methodology based on active subspaces for mixed random and interval uncertainties |
作者 | |
发表日期 | 2019-06-01 |
发表期刊 | Journal of Verification, Validation and Uncertainty Quantification
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ISSN/eISSN | 2377-2158 |
卷号 | 4期号:2 |
摘要 | The popular use of response surface methodology (RSM) accelerates the solutions of parameter identification and response analysis issues. However, accurate RSM models subject to aleatory and epistemic uncertainties are still challenging to construct, especially for multidimensional inputs, which is widely existed in real-world problems. In this study, an adaptive interval response surface methodology (AIRSM) based on extended active subspaces is proposed for mixed random and interval uncertainties. Based on the idea of subspace dimension reduction, extended active subspaces are given for mixed uncertainties, and interval active variable representation is derived for the construction of AIRSM. A weighted response surface strategy is introduced and tested for predicting the accurate boundary. Moreover, an interval dynamic correlation index is defined, and significance check and cross validation are reformulated in active subspaces to evaluate the AIRSM. The effectiveness of AIRSM is demonstrated on two test examples: three-dimensional nonlinear function and speed reducer design. They both possess a dominant one-dimensional active subspace with small estimation error, and the accuracy of AIRSM is verified by comparing with full-dimensional Monte Carlo simulates, thus providing a potential template for tackling high-dimensional problems involving mixed aleatory and interval uncertainties. |
关键词 | Adaptive response surface Dimension reduction Interval uncertainty Random uncertainty Uncertainty quantification |
DOI | 10.1115/1.4045200 |
URL | 查看来源 |
语种 | 英语English |
Scopus入藏号 | 2-s2.0-85133680120 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/10723 |
专题 | 个人在本单位外知识产出 |
通讯作者 | Hu,Xingzhi |
作者单位 | 1.China Aerodynamics Research and Development Center,Mianyang,621000,China 2.Institute of Applied Physics and Computational Mathematics,Beijing,100094,China 3.School of Math,Shandong University of Science and Technology,Qingdao,266590,China |
推荐引用方式 GB/T 7714 | Hu,Xingzhi,Duan,Yanhui,Wang,Ruiliet al. An adaptive response surface methodology based on active subspaces for mixed random and interval uncertainties[J]. Journal of Verification, Validation and Uncertainty Quantification, 2019, 4(2). |
APA | Hu,Xingzhi, Duan,Yanhui, Wang,Ruili, Liang,Xiao, & Chen,Jiangtao. (2019). An adaptive response surface methodology based on active subspaces for mixed random and interval uncertainties. Journal of Verification, Validation and Uncertainty Quantification, 4(2). |
MLA | Hu,Xingzhi,et al."An adaptive response surface methodology based on active subspaces for mixed random and interval uncertainties". Journal of Verification, Validation and Uncertainty Quantification 4.2(2019). |
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