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个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : 现任中国工程热物理学会流体机械专委员会委员、中国航空学会学轻型燃气轮机分会委员、教育部重型燃气轮机教学资源库专家委员会委员、辽宁省能动类专业教指委副主任、大连市核事故应急指挥部专家组成员等职。
性别：女
毕业院校：大连理工大学
学位：硕士
所在单位：能源与动力学院
电子邮箱：dlwxf@dlut.edu.cn
A multi-response adaptive sampling approach for global metamodeling
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论文类型：期刊论文
发表时间：2018-01-01
发表刊物：PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
收录刊物：SCIE、EI
卷号：232
期号：1
页面范围：3-16
ISSN号：0954-4062
关键字：Multi-response; adaptive sampling; CV-Voronoi; global metamodeling
摘要：Some adaptive sampling approaches have been developed to efficiently and accurately build global metamodels for the deterministic single-response problems. Most complex engineering problems, however, yield multiple responses during one simulation. This article adjusts the framework of the CV-Voronoi adaptive sampling approach for a multi-response system. In the proposed multi-response CV-Voronoi (mCV-Voronoi) sampling approach, a new strategy that combines a weighted-sum term and an extreme term is presented to properly estimate the cell errors by simultaneously considering the characteristics of multiple responses. The performance of this approach is investigated on 57 multi-response systems and two engineering design problems. The results show that mCV-Voronoi is very promising for global metamodeling of deterministic multi-response systems.