蚁群算法耦合LS-DYNA梯式轨枕轨道动力特性优化

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振动与冲击 ›› 2013, Vol. 32 ›› Issue (2) : 24-28.

论文

蚁群算法耦合LS-DYNA梯式轨枕轨道动力特性优化

金浩, 刘维宁

作者信息 +

Optimization of the ladder track with ant colony algorithm coupled with LS-DYNA

JIN Hao，LIU Weining

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文章历史 +

摘要

为研究枕下减振垫材料密度和弹性模量对梯式轨枕轨道动力特性的影响，提出连续函数蚁群算法耦合LS-DYNA动力有限元程序的方法。首先利用连续函数蚁群算法程序，优化设计变量；其次，调用LS-DYNA动力有限元程序，对优化参数后的有限元模型进行计算；最后，将LS-DYNA动力有限元程序计算得到的结果反馈给连续函数蚁群算法程序。利用该方法，研究得出：在可取的材料参数范围之内，梯式轨枕轨道枕下减振垫最佳材料密度为620 kg/m3，最佳弹性模量为6.25×106 N/m2。将优化后的枕下减振垫用于地铁运营线，基底台座1 Hz~80 Hz频段加权VLz减小6.5 dB。因此认为，连续函数蚁群算法耦合LS-DYNA方法优化梯式轨枕轨道动力特性有效。

Abstract

For studying the effects of material density and elastic modulus of the damping pads under sleepers for the dynamic characteristic of the ladder track, the method of ant colony algorithm coupled with LS-DYNA was proposed. Firstly, design variables were optimized with the program of ant colony algorithm of continuous function; secondly, the FEM model with optimized variables was calculated by LS-DYNA; finally, the results from LS-DYNA were set back to the program of ant colony algorithm of continuous function. Analysis shows that: the best material density is 620 kg/m3 and the best elastic modulus is 6.25×106 N/m2 for the damping pads under the ladder track sleepers. The weighted VLz of optimal variables decreases 6.5 dB on the mounting of the ladder track in the operating railway by comparison of non-optimization. Therefore, the program of ant colony algorithm coupled with LS-DYNA for optimization of the dynamic characteristic of the ladder track is effective.

导出引用

金浩;刘维宁. 蚁群算法耦合LS-DYNA梯式轨枕轨道动力特性优化[J]. 振动与冲击, 2013, 32(2): 24-28

JIN Hao;LIU Weining. Optimization of the ladder track with ant colony algorithm coupled with LS-DYNA[J]. Journal of Vibration and Shock, 2013, 32(2): 24-28