Surrogate-based modeling and dimension reduction techniques for multi-scale mechanics problems
Surrogate-based modeling and dimension reduction techniques for multi-scale mechanics problems作者机构:Hong Kong University of Science and Technology Clear Water Bay Hong Kong China University of Michigan Ann Arbor MI USA National Taiwan Sun Yat-Sen UniversityKaohsiung Taiwan China
出 版 物:《Acta Mechanica Sinica》 (力学学报(英文版))
年 卷 期:2011年第27卷第6期
页 面:845-865页
核心收录:
学科分类:07[理学] 08[工学] 070104[理学-应用数学] 0701[理学-数学] 080102[工学-固体力学] 0801[工学-力学(可授工学、理学学位)]
主 题:Multi-scale mechanics ~ Cryogenic cavitating flow Surrogate-based modeling Active flow control Engineering system
摘 要:Successful modeling and/or design of engineering systems often requires one to address the impact of multiple "design variables" on the prescribed *** are often multiple,competing objectives based on which we assess the outcome of *** accurate,high fidelity models are typically time consuming and computationally expensive,comprehensive evaluations can be conducted only if an efficient framework is ***,informed decisions of the model/hardware's overall performance rely on an adequate understanding of the global,not local,sensitivity of the individual design variables on the *** surrogate-based approach,which involves approximating the objectives as continuous functions of design variables from limited data,offers a rational framework to reduce the number of important input variables,i.e.,the dimension of a design or modeling *** this paper,we review the fundamental issues that arise in surrogate-based analysis and optimization,highlighting concepts,methods,techniques,as well as modeling implications for mechanics *** aid the discussions of the issues involved,we summarize recent efforts in investigating cryogenic cavitating flows,active flow control based on dielectric barrier discharge concepts,and lithium(Li)-ion *** is also stressed that many multi-scale mechanics problems can naturally benefit from the surrogate approach for "scale bridging."