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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,科学技术研究院院长
    • 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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    Imperfection-insensitive design of stiffened conical shells based on equivalent multiple perturbation load approach

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    论文类型:期刊论文

    第一作者:Hao, Peng

    通讯作者:Wang, B (reprint author), Dalian Univ Technol, Dept Engn Mech, State Key Lab Struct Anal Ind Equipment, Dalian 116023, Peoples R China.

    合写作者:Wang, Bo,Du, Kaifan,Li, Gang,Tian, Kuo,Sun, Yu,Ma, Yunlong

    发表时间:2016-02-01

    发表刊物:COMPOSITE STRUCTURES

    收录刊物:SCIE、EI

    卷号:136

    页面范围:405-413

    ISSN号:0263-8223

    关键字:Stiffened conical shell; Imperfection; Collapse; Perturbation load approach; Optimization

    摘要:Stiffened conical shells in launch vehicles are very sensitive to various forms of imperfections. As a type of equivalent imperfections, several perturbation load approaches are used to investigate the influence of dimple-shape imperfections on the load-carrying capacity of stiffened conical shells. Firstly, the effect of axial location of dimple is examined by single perturbation load approach (SPLA), since the stiffness of stiffened conical shells varies along axial direction. Then, worst multiple perturbation load approach (WMPLA) is employed to find the lower bound of the collapse load of stiffened conical shells, and also provides the knowledge to determine the number of dimples in the multiple perturbation load approach (MPLA). After that, the optimization of stiffened conical shells for imperfection-insensitive design is carried out, where the equivalent MPLA is adopted during the optimization process to reduce the computational cost. Illustrative example indicates that stiffened conical shells exhibit more complicated imperfection sensitivity compared to cylindrical shells, and the proposed optimization framework can find an imperfection-insensitive design under structural weight constraint in an efficient manner. (C) 2015 Elsevier Ltd. All rights reserved.