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Effect of applied force cosimulation schemes on recoupled vehicle/track problems
Multibody System Dynamics ( IF 3.4 ) Pub Date : 2020-06-09 , DOI: 10.1007/s11044-020-09748-8
Bryan Olivier , Olivier Verlinden , Georges Kouroussis

The aim of this paper is to discuss the effect of cosimulation on a railway vehicle/track/soil model. Firstly, only the vehicle and a flexible track are considered without taking the soil flexibility into account. Two well-known co-simulation approaches are used: a parallel approach, called Jacobi, and a sequential approach, called Gauß–Seidel. The definition of the subsystems, thus the place at which the entire system is split, is discussed. For the vehicle/track case, the split can be performed either between the wheel and the rail or between the rail and the sleepers. Moreover, it is shown that the output of each subsystem, either a kinematic quantity or a force, has a significant impact on the results since. It is indeed observed that, for the vehicle/track model, exchanging only kinematic quantities between the subsystem is less accurate but more stable than exchanging forces and kinematic quantities. The macrotimestep influence is also investigated and it is demonstrated that when the macrotimestep decreases, all co-simulation configuration converge to the same solution. Secondly, the soil flexibility and the vehicle influences are considered with a vehicle/track/soil model involving two different software environments: a multibody dedicated program for the vehicle and the track and a finite element analysis program for the soil. Generally, a deterioration of the results is observed in soft soil cases.



中文翻译:

施加力协同仿真方案对重新耦合的车辆/轨道问题的影响

本文的目的是讨论协同仿真对铁路车辆/轨道/土壤模型的影响。首先,仅考虑车辆和柔性轨道,而不考虑土壤的柔性。使用了两种众所周知的协同仿真方法:一种称为Jacobi的并行方法,一种称为Gauß-Seidel的顺序方法。讨论了子系统的定义,即整个系统的分割位置。对于车辆/轨道情况,可以在车轮和导轨之间或在导轨和轨枕之间进行拆分。此外,还表明,此后每个子系统的输出,无论是运动量还是力,都对结果产生重大影响。实际上,对于车辆/轨道模型,在子系统之间仅交换运动量比交换力和运动量不太准确,但更稳定。还研究了宏时间步长的影响,并证明了当宏时间步长减小时,所有协同仿真配置都收敛到同一解。其次,在涉及两种不同软件环境的车辆/轨道/土壤模型中考虑了土壤的柔韧性和车辆的影响:车辆和轨道的多体专用程序以及土壤的有限元分析程序。通常,在软土情况下观察到结果恶化。所有协同仿真配置都收敛于同一解决方案。其次,在涉及两种不同软件环境的车辆/轨道/土壤模型中考虑了土壤的柔韧性和车辆的影响:车辆和轨道的多体专用程序以及土壤的有限元分析程序。通常,在软土情况下观察到结果恶化。所有协同仿真配置都收敛于同一解决方案。其次,通过涉及两种不同软件环境的车辆/轨道/土壤模型来考虑土壤的柔韧性和车辆的影响:车辆和轨道的多体专用程序以及土壤的有限元分析程序。通常,在软土情况下观察到结果恶化。

更新日期:2020-06-09
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