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个人信息Personal Information
副教授
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:机械工程学院
学科:车辆工程
办公地点:二号实验楼
联系方式:大连理工大学海涵楼
电子邮箱:bjli@dlut.edu.cn
A Moving Morphable Void (MMV)-based explicit approach for topology optimization considering stress constraints
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论文类型:期刊论文
发表时间:2018-06-01
发表刊物:COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
收录刊物:SCIE、EI
卷号:334
页面范围:381-413
ISSN号:0045-7825
关键字:Topology optimization; Shape optimization; Moving Morphable Void (MMV); Stress constraints; h-adaptive mesh
摘要:Topology optimization considering stress constraints has received ever-increasing attention in recent years for both of its academic challenges and great potential in real-world engineering applications. Traditionally, stress-constrained topology optimization problems are solved with approaches where structural geometry/topology is represented in an implicit way. This treatment, however, would lead to problems such as the existence of singular optima, the risk of low accuracy of stress computation, and the lack of direct link between optimized results and computer-aided design/engineering (CAD/CAE) systems. With the aim of resolving the aforementioned issues straightforwardly, a Moving Morphable Void (MMV)-based approach is proposed in the present study. Compared with existing approaches, the distinctive advantage of the proposed approach is that the structural geometry/topology is described in a completely explicit way. This feature provides the possibility of obtaining optimized designs with crisp and explicitly parameterized boundaries using much fewer numbers of degrees of freedom for finite element analysis and design variables for optimization, respectively. Several numerical examples provided demonstrate the effectiveness and advantages of the proposed approach. (C) 2018 Elsevier B.V. All rights reserved.