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    王源隆

    • 副教授 硕士生导师
    • 招生学科专业:
      机械工程 -- 【招收硕士研究生】 -- 能源与动力学院
      机械 -- 【招收硕士研究生】 -- 能源与动力学院
    • 性别:男
    • 毕业院校:南京理工大学 / 密歇根大学安娜堡分校 联合培养
    • 学历:博士研究生毕业
    • 学位:工学博士学位
    • 所在单位:能源与动力学院
    • 办公地点:明故宫校区A10-526
    • 联系方式:yuanlongwang@nuaa.edu.cn
    • 电子邮箱:

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    Optimization of an auxetic jounce bumper based on Gaussian process metamodel and series hybrid GA-SQP algorithm

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    所属单位:能源与动力学院

    发表刊物:STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

    关键字:Auxetic Negative Poisson's ratio Gaussian process GA-SQP Ride comfort

    摘要:Jounce bumpers are indispensable components in vehicle suspension systems. It can attenuate impact energy and improve the ride comfort performances during transient pulse impacts from roads. However, the traditional jounce bumpers cannot achieve ideal mechanical performance and are difficult for parametric optimization due to its various shapes which are hard for parameterization. In this paper, a cylinder auxetic structure was introduced and applied as the suspension jounce bumper. Auxetic jounce bumper can be primarily defined by several variables. With tunable structure parameters, a large region of mechanical performances can be realized. In order to evaluate and optimize the performance of auxetic jounce bumpers, they were assembled into vehicle models to conduct virtual ride comfort tests under bump road. The maximum vertical acceleration of vehicle was defined as the objective function of the optimization problem of auxetic jounce bumper. On the purpose of improving optimization efficiency, Gaussian process regression method was employed to establish the metamodel of auxetic jounce bumper based on the sample set created by orthogonal design of experiments method. A series hybrid GA-SQP (Genetic algorithm-Sequential quadratic programming) algorithm, provided with both global and fast local searching abilities, was used for the optimization of auxetic jounce bumper. For comparison, GA algorithm was also applied for auxetic jounce bumper optimization alone. It is proved that the proposed optimization process is accurate and can improve optimization efficiency. Then the optimized design through hybrid algorithm was compared with original design. The maximum vertical acceleration of vehicle when travelling through bump was reduced with optimized design, and the vehicle ride comfort performance was improved.

    备注:卷: 57 期: 6 页: 2515-2525

    ISSN号:1615-147X

    是否译文:

    发表时间:2018-06-01

    通讯作者:赵万忠