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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:工业装备结构分析优化与CAE软件全国重点实验室副主任
    • 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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    Surrogate-Based Optimum Design for Stiffened Shells with Adaptive Sampling

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    论文类型:期刊论文

    发表时间:2012-11-01

    发表刊物:AIAA JOURNAL

    收录刊物:SCIE、EI、Scopus

    卷号:50

    期号:11

    页面范围:2389-2407

    ISSN号:0001-1452

    摘要:For cylindrical stiffened shells under internal pressure and nonuniform axial compression, a load-controlled loading pattern based on the nonlinear explicit dynamic analysis is employed. Because of the nonuniform load, numerous variables are involved in structural design, whereas it is practically impossible to perform the optimization for the overall variables simultaneously, even if a surrogate model is adopted. The framework of a bistep surrogate-based optimization with adaptive sampling is presented in this study, which aims to build relatively high-fidelity surrogate models with less computational cost for complex engineering designs. A three-dimensional rigid frame is first established to validate the proposed method. Results indicate that the optimum design obtained by the proposed method is potentially close to the global optimum design. Then, a typical fuel tank configured for use in a launch vehicle is used to illustrate the proposed method. Comparisons of direct surrogate-based optimization and the proposed method for two examples show that the bistep surrogate-based optimization with adaptive sampling can achieve a larger weight saving with less computational cost. Consequently, it can be concluded that the proposed method provides an efficient and practical approach to finding the optimum design for structure with numerous variables and various variable types.