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    周冠

    • 副教授 博士生导师
    • 招生学科专业:
      机械工程 -- 【招收博士、硕士研究生】 -- 能源与动力学院
      机械 -- 【招收博士、硕士研究生】 -- 能源与动力学院
    • 性别:男
    • 毕业院校:湖南大学
    • 学位:工学博士学位
    • 所在单位:能源与动力学院
    • 办公地点:南京航空航天大学明故宫校区
    • 联系方式:邮箱:zguan@nuaa.edu.cn
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    Multi-objective reliability design optimization of a novel side door negative Poisson's ratio impact beam

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    所属单位:能源与动力学院

    发表刊物:PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING

    关键字:Multi-objective reliability design optimization side door impact beam negative Poisson's ratio structure side impact crashworthiness parametric modeling

    摘要:By possessing a good capacity for energy absorption and a lightweight structure, the negative Poisson's ratio (NPR) structure has very fine prospects for application in vehicle engineering. By combining the traditional side door impact beam and a NPR structure, a novel side door NPR impact beam is first proposed in this work to improve the side impact crashworthiness in automobiles. The performance of the side door NPR impact beam is first studied in detail by comparison with a traditional side door impact beam and aluminum-foam-filled impact beam. To make further improvement on the performance of the side door NPR impact beam, the multi-objective design optimization while considering reliability is also investigated in this work. The parametric model of the NPR structure is established to improve modeling efficiency when the shape and topology are changed. A Latin hypercube sampling technique, orthogonal design, and a response surface model are then combined to construct the surrogate models. A radial-based importance sampling technique (RBIS) and multi-objective particle swarm optimization algorithm (MOPSO) are applied in the inner and outer loop respectively to find the optimal multi-objective reliability solutions. The results indicate that the side impact crashworthiness is improved remarkably by the side door NPR impact beam and the structure is further improved by the multi-objective reliability optimization. The studies in this work also serve as a good example for other improvements in automobile performance.

    ISSN号:0954-4070

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    发表时间:2018-08-01

    合写作者:赵万忠,Ma, Zheng-Dong,王春燕,F70206535

    通讯作者:周冠