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    王博

    • 教授     博士生导师   硕士生导师
    • 主要任职:党委常委 副校长
    • 其他任职:工业装备结构分析国家重点实验室副主任
    • 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
    • 办公地点:工程力学系系楼304房间
    • 联系方式:办公电话: 0411-84706608; 手机: 壹叁玖肆贰捌伍玖捌伍伍
    • 电子邮箱:wangbo@dlut.edu.cn

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    Collaborative design of fiber path and shape for complex composite shells based on isogeometric analysis

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    论文类型:期刊论文

    发表时间:2019-09-01

    发表刊物:COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

    收录刊物:SCIE、EI

    卷号:354

    页面范围:181-212

    ISSN号:0045-7825

    关键字:Isogeometric analysis; Variable-stiffness shells; Complex shells; Fiber path optimization; Shape optimization; Collaborative optimization

    摘要:Composite shells with complex geometry are widely used in aerospace structures. Due to the complexity of geometry and curvilinear fiber path, the analysis and optimization based on finite element analysis (FEA) for complex variable-stiffness (VS) shells is extremely time-consuming. By comparing with FEA, isogeometric analysis (IGA) exhibits higher prediction efficiency of buckling load. In this work, the formula of geometric stiffness matrix for complex VS shells is derived for the first time based on degenerated shell method using IGA, which is the basis of performing linear buckling analysis. Then, a new variable curvature quasi-linear function (VCQLF) to describe curvilinear fiber path is proposed, which can further expand the design space of VS shells. After that, two frameworks for shape optimization of complex shells are put forward and then compared, and it is found that the one based on LOFT function can provide representative control variables of shape and effectively reduces the number of design variables for complex shells. Finally, a novel collaborative optimization framework of fiber path and shell shape using IGA is established. By comparison of traditional methods, it is demonstrated that the proposed framework can greatly improve the efficiency of optimization and fully explore the buckling load of complex VS shells. (C) 2019 Elsevier B.V. All rights reserved.