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    亢战

    • 教授     博士生导师   硕士生导师
    • 主要任职:Deputy Dean, Faculty of Vehicle Engineering and Mechanics
    • 其他任职:Deputy Dean, Faculty of Vehicle Engineering and Mechanics
    • 性别:男
    • 毕业院校:stuttgart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. 航空航天力学与工程. 固体力学
    • 办公地点:综合实验一号楼522房间
      https://orcid.org/0000-0001-6652-7831
      http://www.ideasdut.com
      https://scholar.google.com/citations?user=PwlauJAAAAAJ&hl=zh-CN&oi=ao
    • 联系方式:zhankang#dlut.edu.cn 84706067
    • 电子邮箱:zhankang@dlut.edu.cn

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    Reliability-based design optimization of adhesive bonded steel-concrete composite beams with probabilistic and non-probabilistic uncertainties

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    论文类型:期刊论文

    发表时间:2011-07-01

    发表刊物:ENGINEERING STRUCTURES

    收录刊物:SCIE、EI

    卷号:33

    期号:7

    页面范围:2110-2119

    ISSN号:0141-0296

    关键字:Composite beam; Adhesive bonded; Structural optimization; Reliability; Uncertainty

    摘要:It is meaningful to account for various uncertainties in the optimization design of the adhesive bonded steel-concrete composite beam. Based on the definition of the mixed reliability index for structural safety evaluation with probabilistic and non-probabilistic uncertainties, the reliability-based optimization incorporating such mixed reliability constraints are mathematically formulated as a nested problem. The performance measure approach is employed to improve the convergence and the stability in solving the inner-loop. Moreover, the double-loop optimization problem is transformed into a series of approximate deterministic problems by incorporating the sequential approximate programming and the iteration scheme, which greatly reduces the burdensome computation workloads in seeking the optimal design. The validity of the proposed formulation as well as the efficiency of the presented numerical techniques is demonstrated by a mathematical example. Finally, reliability-based optimization designs of a single span adhesive bonded steel-concrete composite beam with different loading cases are achieved through integrating the present systematic method, the finite element analysis and the optimization package. (C) 2011 Elsevier Ltd. All rights reserved.