基于RBF-PSO算法的浮筏隔振系统性能优化及轻量化设计

Performance Optimization and Lightweight Design of Floating Raft Vibration Isolation System Based on RBF-PSO Algorithm

  • 摘要:
    目的 为了解决工程中浮筏隔振系统轻量化设计过程工作量大、迭代周期长的问题,提出一种基于RBF-PSO多目标优化算法的轻量化设计方法。
    方法 以板架式浮筏隔振系统为研究对象,基于Ansys APDL建立有限元模型并分析其隔振性能和抗冲击性能。通过试验测试浮筏的隔振性能与数值仿真结果对比,验证数值仿真结果的准确性;采用完全有限差分法,对浮筏隔振系统进行参数灵敏度分析,通过灵敏度分析结果选择设计变量,并基于RBF-PSO多目标优化算法对浮筏进行轻量化设计。
    结果 研究结果表明:轻量化设计后,筏架质量为63.03 kg,相较于原筏架减重31.92%。同时,浮筏隔振系统的隔振性能提升了2.48 dB,设备的抗冲击性能也有所提升。RBF-PSO多目标优化算法优化值与数值仿真计算值误差小于1%。
    结论 RBF-PSO优化算法可有效应用于浮筏隔振系统的轻量化设计中。

     

    Abstract:
    Objectives To solve the problems of heavy workload and long iteration period in lightweight design of floating raft vibration isolation system in engineering, a lightweight design method based on RBF-PSO multi-objective optimization algorithm is proposed.
    Methods For this issue, the vibration isolation system of plate-frame floating raft is taken as the research object. Establishment of Finite Element Model Based on Ansys APDL. Calculate the vibration isolation performance and impact resistance. Vibration isolation performance of floating raft is tested through experiments. Verify the accuracy of numerical simulation by comparing with numerical simulation results. Full finite difference method is used to analyze the parameter sensitivity of the floating raft vibration isolation system. Appropriate design variables are selected through the sensitivity analysis results. The design of the floating raft isolation system is lightweight based on the RBF-PSO multi-objective optimization algorithm.
    Results The results show that after optimization, the optimized raft mass is 63.03 kg. Compared with the original raft, the weight of the lightweight raft is reduced by 31.92%. The vibration isolation performance of the floating raft isolation system is increased by 2.48 dB. The impact resistance of the equipment is also improved. The error between the optimized value of RBF-PSO and the calculated value of numerical simulation is less than 1%.
    Conclusions Therefore, RBF-PSO optimization algorithm can be effectively applied to the lightweight design of the floating raft vibration isolation system.

     

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