This paper presents an efficient numerical tool for the prediction of railway dynamic response. A behavior calibration of the infinite Euler-Bernoulli beam resting on continuous viscoelastic foundation is proposed. Constitutive laws of the discrete elements are determined for a rectilinear ballasted track. A three-dimensional model coupled with an adaptive meshing scheme is employed to calibrate the beam model impedances by finding the similarity between the output signals using the genetic algorithm. The model shows an important performance with significant reduction in computational effort. This study emphasizes the major impact of the excitation characteristics on the parameters of the discrete models.

本文提出了一种用于预测铁路动力响应的有效数值工具。提出了基于连续粘弹性地基的无限欧拉-伯努利梁的行为标定。确定直线压载轨道的离散元素的本构律。通过使用遗传算法找到输出信号之间的相似性，将三维模型与自适应网格划分方案相结合来校准波束模型阻抗。该模型显示出重要的性能，并且大大减少了计算量。这项研究强调了励磁特性对离散模型参数的主要影响。