Sequential Latin hypercube design for two-layer computer simulators

被引:2
|
作者
Wang, Yan [1 ]
Wang, Dianpeng [2 ]
Yue, Xiaowei [3 ,4 ]
机构
[1] Beijing Univ Technol, Sch Stat & Data Sci, Beijing, Peoples R China
[2] Beijing Inst Technol, Sch Math & Stat, Key Lab Math Theory & Computat Informat Secur, Beijing, Peoples R China
[3] Tsinghua Univ, Dept Ind Engn, Beijing, Peoples R China
[4] Tsinghua Univ, Inst Qual & Reliabil, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
composites structures assembly processes; Gaussian process; maximin criterion; optimal LHD; principal component scores; GAUSSIAN PROCESS; MODELS;
D O I
10.1080/00224065.2023.2251178
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The two-layer computer simulators are commonly used to mimic multi-physics phenomena or systems. Usually, the outputs of the first-layer simulator (also called the inner simulator) are partial inputs of the second-layer simulator (also called the outer simulator). How to design experiments by considering the space-filling properties of inner and outer simulators simultaneously is a significant challenge that has received scant attention in the literature. To address this problem, we propose a new sequential optimal Latin hypercube design (LHD) by using the maximin integrating mixed distance criterion. A corresponding sequential algorithm for efficiently generating such designs is also developed. Numerical simulation results show that the new method can effectively improve the space-filling property of the outer computer inputs. The case study about composite structures assembly simulation demonstrates that the proposed method can outperform the benchmark methods.
引用
收藏
页码:71 / 85
页数:15
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