胶泥阻尼器粒子群法参数优化
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Particle Swarm Method Optimization for Viscous Damper
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    摘要:

    为满足阻尼器在设计中最大过载和缓冲距离的需求问题,运用粒子群法对胶泥阻尼器各参数进行优化。 建立胶泥阻尼器冲击动力学模型,确定阻尼器各参变量关系,构造含有最大加速度和缓冲距离两设计指标的适应度 函数,采用粒子群算法对胶泥缓冲器进行多参数优化,得出系统最优解,确定各参数数值。结果表明:该方法对胶 泥阻尼器结构尺寸设计中如何避免最大位移和加速度两要素的矛盾,迅速确定各参数有实际意义。

    Abstract:

    In order to meet the requirements of the maximum overload and buffer distance of the damper in the design, the particle swarm method is used to optimize the parameters of the viscous damper. The impact dynamics model of the viscous damper is established, the relationship between the parameters of the damper is determined, and the fitness function of the 2 design indexes with maximum acceleration and buffer distance is constructed. The particle swarm optimization algorithm is used to optimize the multi-parameters of the viscous buffer to obtain the optimal system. And determine the value of each parameter. The results show that this method can avoid the contradiction between the 2 factors of maximum displacement and acceleration in the design of the size of the viscous damper, and quickly determine the practical significance of each parameter.

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引用本文

霍瑞坤.胶泥阻尼器粒子群法参数优化[J].,2019,38(07).

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  • 收稿日期:2019-02-21
  • 最后修改日期:2019-03-30
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  • 在线发布日期: 2019-08-12
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