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Paramedical optimization of particle dampers based on particle swarm algorithm

机译：基于粒子群算法的粒子阻尼器辅助医疗优化

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Particle damping technology is widely used to suppress the structure vibration in different fields. It is thus important to develop an optimization method of the particle damper design to achieve good damping effect. Here, a theoretical model of particle damping based on multiphase flow theory of gas-particle is used to predicate the acceleration response of asymmetrical particle-damping plate through COMSOL-MATLAB co-simulation. On the basis of the accuracy of acceleration response prediction (i.e. simulation results vs. experimental results), particle swarm algorithm is introduced to optimize the parameters of particle dampers within different frequency ranges. The optimal results (i.e. acceleration response curves and total values of acceleration) are compared with the non-optimal results, showing its feasibility of particle-damping asymmetrical plate in various target frequency ranges. Comparing to the non-optimal case, the damping effect after optimization improves significantly by reducing 10 dB more within the frequency ranges. (C) 2019 Published by Elsevier Ltd.
机译：颗粒阻尼技术被广泛用于抑制不同领域的结构振动。因此，重要的是开发一种颗粒阻尼器设计的优化方法，以达到良好的阻尼效果。在此，使用基于气体颗粒多相流理论的颗粒阻尼理论模型，通过COMSOL-MATLAB联合仿真来预测非对称颗粒阻尼板的加速度响应。基于加速度响应预测的准确性（即仿真结果与实验结果），引入了粒子群算法来优化不同频率范围内的粒子阻尼器参数。将最佳结果（即加速度响应曲线和加速度的总值）与非最佳结果进行了比较，显示了其在不同目标频率范围内阻尼非对称对称板的可行性。与非最佳情况相比，优化后的阻尼效果通过在频率范围内再降低10 dB来显着提高。 （C）2019由Elsevier Ltd.发布

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