阎军

个人信息Personal Information

教授

博士生导师

硕士生导师

主要任职:力学与航空航天学院院长、党委副书记

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:力学与航空航天学院

学科:工程力学. 计算力学. 固体力学. 航空航天力学与工程. 船舶与海洋结构物设计制造

办公地点:工程力学系系楼305房间

联系方式:0411-84706832

电子邮箱:yanjun@dlut.edu.cn

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Concurrent multi-scale design optimization of composite frame structures using the Heaviside penalization of discrete material model

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论文类型:期刊论文

发表时间:2016-06-01

发表刊物:ACTA MECHANICA SINICA

收录刊物:EI、SCIE、ISTIC、CSCD、Scopus

卷号:32

期号:3

页面范围:430-441

ISSN号:0567-7718

关键字:Composite frame structure; Multi-scale optimization; Topology optimization; Fiber winding angle; Structural compliance

摘要:This paper deals with the concurrent multi-scale optimization design of frame structure composed of glass or carbon fiber reinforced polymer laminates. In the composite frame structure, the fiber winding angle at the micro-material scale and the geometrical parameter of components of the frame in the macro-structural scale are introduced as the independent variables on the two geometrical scales. Considering manufacturing requirements, discrete fiber winding angles are specified for the micro design variable. The improved Heaviside penalization discrete material optimization interpolation scheme has been applied to achieve the discrete optimization design of the fiber winding angle. An optimization model based on the minimum structural compliance and the specified fiber material volume constraint has been established. The sensitivity information about the two geometrical scales design variables are also deduced considering the characteristics of discrete fiber winding angles. The optimization results of the fiber winding angle or the macro structural topology on the two single geometrical scales, together with the concurrent two-scale optimization, is separately studied and compared in the paper. Numerical examples in the paper show that the concurrent multi-scale optimization can further explore the coupling effect between the macro-structure and micro-material of the composite to achieve an ultra-light design of the composite frame structure. The novel two geometrical scales optimization model provides a new opportunity for the design of composite structure in aerospace and other industries.