Train 3D: the technique for inclusion of three-dimensional models in longitudinal train dynamics and its application in derailment studies and train simulators

ABSTRACT

Algorithms for simulation of trains as coupled detailed spatial and simplified one-dimensional models of rail vehicles are considered. Such an approach to train dynamics allows evaluation of in-train forces and their influence on dynamic characteristics related, e.g. to the safety problems or ride comfort. Initially, the method has been developed for the analysis of derailment accidents and further it has been implemented as a mechanical solver in six-degrees-of-freedom train simulator TRENSIM, which features are discussed in the paper. An algorithm for parallelisation on multi-core processors for the simulation of rail vehicles and trains is presented.

KEYWORDS:

• Railway vehicle dynamics
• longitudinal train dynamics
• 3D and 1D models coupling
• parallel computations
• derailment studies
• six-degrees-of-freedom train simulators

Acknowledgements

TRENSIM project was carried out within the context of ‘Public Institutions Research Funding Program’, with the leadership of TUBITAK Information Technologies Institute and co-partners DEVNET, 5M and the Marmara University. TUBITAK Information Technologies Institute developed the ‘E43000 locomotive and railway cars dynamic modeling’ module in collaboration with the Laboratory of Computational Mechanics of Bryansk State Technical University.

The authors wish to thank specially all TRENSIM project team and other related directors and other colleagues from TUBITAK, DEVNET, 5M and Marmara University, Ing. Dmitry Agapov and Dr Roman Kovalev from Laboratory of Computational Mechanics, Dr Veysi Ozturk, Burak Selcuk Soyer, Abdulkerim Oncu, Samet Akpinar, Dr Semih Sezer, Ramazan Cengiz, Mustafa Cayir, Onur Ince, Ali Tozan and other colleagues from TUBITAK, Murat Seneken, Halim Soltekin, Mehmet Ektas, Kemal Urgen, Niyazi Ulualan and all other related staff from TCDD and Toshiba Corporation for their valuable contribution and support.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

Development of simulation algorithms has been done under support of Russian Foundation for Basic Research[grant 14-01-00662a].