基于复特征值分析的单阶钢轨动力吸振器波磨抑制效果及参数优化方法研究

INVESTIGATION ON RAIL CORRUGATION SUPPRESSION EFFECTS AND ON PARAMETER OPTIMIZATION METHOD FOR SINGLE-MODE DYNAMIC VIBRATION ABSORBER UPON COMPLEX EIGENVALUE ANALYSIS

  • 摘要: 钢轨波磨会加剧轮轨动力相互作用、影响乘车舒适性与轨道结构耐久性。动力吸振器,亦称调谐质量阻尼器,已被用于轨道工程减振,且具备抑制波磨的潜力。本研究围绕单阶钢轨动力吸振器波磨抑制性能开展系统研究,针对采用CHN60钢轨与LM型踏面车轮的典型工况,建立单车轮-钢轨-动力吸振器系统有限元模型,通过复特征值分析获取系统等效阻尼比,从系统稳定性与振动响应两方面评价吸振器的波磨抑制效果,并采用控制变量法分析吸振器刚度与质量两大参数对系统稳定性的影响规律,最后提出一种结合三次样条插值与密集网格搜索的全局参数优化方法,在连续参数空间中寻找吸振器最优设计参数组合。结果表明:吸振器可改善轮轨摩擦自激振动响应,将原有高频不稳定模态等效阻尼比从−0.04993提升至−0.02753;参数分析指出刚度与质量比为影响吸振器波磨抑制性能的关键因素;所提出的参数优化方法实现了从离散工况到连续参数空间的拓展,获得了最优参数组合,使系统最小等效阻尼比提升至−0.00666

     

    Abstract: Rail corrugation intensifies the dynamic wheel-rail interaction, degrading ride comfort and shortening the service life of track components. Dynamic vibration absorbers (DVAs), also known as tuned mass dampers (TMDs), have been used to mitigate track vibration responses, and their potential to suppress corrugation has been recognized. This study undertook a systematic investigation of the single-mode rail corrugation-suppression performance of DVAs. A finite-element model of the single wheel-rail-corrugation suppressors system was established for a typical system using CHN60 steel rails and for LM profiled wheels, and complex eigenvalue analysis was employed to extract the equivalent damping ratio of the system. The corrugation-mitigation effectiveness of the DVAs was then assessed from two aspects: system stability and vibration response. The influence of the two dominant DVA parameters—stiffness and mass ratio—was clarified through a controlled-variable analysis. A global parameter-optimization scheme that integrated the cubic-spline interpolation with dense grid search was proposed to identify the optimal DVA design within a continuous parameter space. The main findings were: The DVAs attenuated the friction-induced self-excited vibration of the wheel-rail system, raising the equivalent damping ratio of the originally unstable high-frequency mode from −0.04993 to −0.02753; Parametric analysis revealed that the stiffness and mass ratio were the tow key factors governing corrugation-suppression performances; The proposed optimization framework successfully extended the search from discrete cases to a continuous domain, yielding an optimal parameter set that further increased the minimum equivalent damping ratio to -0.00666.

     

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