蚁群算法耦合LS-DYNA梯式轨枕轨道动力特性优化

Optimization of laddertype track using ant colony algorithm coupled with LS-DYNA

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6.25×106N/m2。将优化后的枕下减振垫用于地铁运营线,基底台座1～80 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。

For studying effects of material density and elastic modulus of damping pads under sleepers on dynamic characteristics of laddertype track, the method of ant colony algorithm coupled with LS-DYNA was proposed. Firstly, design variables were optimized with the program for ant colony algorithm of continuous functions. Secondly, the FE model with optimized variables was calculated with LS-DYNA. Finally, the results from LS-DYNA were fed back to the program for ant colony algorithm of continuous functions. The study showed 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 ladder type track sleepers; the weight VLz of optimal variables decreases 6.5 dB after using the optimal damping pads under ladder type track on an operating railway; therefore, the proposed method is effective.