five

Parameterised finite element model for S&C Benchmark in Matlab and Abaqus format

收藏
DataCite Commons2026-03-23 更新2025-04-16 收录
下载链接:
https://researchdata.se/catalogue/dataset/2021-78-1/1
下载链接
链接失效反馈
官方服务:
资源简介:
A finite element model of a 60E1-R760-1:15 turnout with parameterised rail pad and ballast properties for simulation Benchmark purposes. The matlab script WriteAbaqus_210927 generates a turnout FE model in Abaqus format with the track stiffness properties (ballast and pad) and nodal constraints defined at the top of the file. An overview of the model is provided in the article Björn A. Pålsson, Ramakrishnan Ambur, Michel Sebès, Ping Wang, Jou-Yi Shih, Demeng Fan, Jingmang Xu, and Jiayin Chen, A comparison of track model formulations for simulation of dynamic vehicle–track interaction in switches and crossings, Vehicle System Dynamics, https://doi.org/10.1080/00423114.2021.1983183 The main file for the FE model is called TurnoutMaster.inp An optional tangent track extension section of 25.2 metres can be written if trackExtensionFlag=1. The main file is called TrackExtensionMaster.inp The rail and sleeper body files are provided "as is" while the bushing properties and nodal constraint files are updated each time the script is run. The rail and sleeper bodies are available in the zip folder RailAndSleeperBodies.zip Example models for the calulation of track receptance are included in the folders Turnout_1 and TrackExtension_1. The Turnout_1 model also includes a file called RUNNING_SURFACE_NODES.inp with sets of nodes for the different rails required for some software implementations (e.g. Simpack linear flextrack) and for simulations of traffic in the through and diverging routes. If the track extension is used, additional node sets would have to be created for those rails as well, but it's straightforward to use the nodes of the straight rail bodies for this purpose.
提供机构:
Chalmers University of Technology
创建时间:
2021-09-30
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作