Simulation and time-frequency analysis of the longitudinal train dynamics coupled with a nonlinear friction draft gear
Train safety and operational efficiency can be improved by investigating the dynamics of the train under varying conditions. Longitudinal train dynamics (LTD) simulations performed for such purposes, usually by utilising a nonlinear time-domain model. This paper covers two modes of LTD results corre...
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2020-02-01
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Online Access: | https://doi.org/10.1515/nleng-2020-0003 |
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doaj-19952ebce8c941b0b4c76f2fb8b121fe2021-09-06T19:21:07ZengDe GruyterNonlinear Engineering2192-80102192-80292020-02-019112414410.1515/nleng-2020-0003nleng-2020-0003Simulation and time-frequency analysis of the longitudinal train dynamics coupled with a nonlinear friction draft gearUyulan Caglar0Arslan Ersen1Bulent Ecevit University, Department of Mechatronics Engineering, Zonguldak, TurkeyMiddle East Technical University, Department of Mechanical Engineering, Ankara, TurkeyTrain safety and operational efficiency can be improved by investigating the dynamics of the train under varying conditions. Longitudinal train dynamics (LTD) simulations performed for such purposes, usually by utilising a nonlinear time-domain model. This paper covers two modes of LTD results corresponding to the time domain and frequency domain analysis. Time-domain solutions are essential to evaluate the full response used for parameter optimisation and controller design studies while frequency domain solutions can provide significant but straightforward clues regarding system dynamics. An advanced draft gear model, which works under a four-stage process is constructed considering all structural components, geometric relationships, friction modelling and dynamic characteristics such as hysteresis, stiffening, state transition, locked unloading, softening. Then, this model is parametrically reduced and implemented into an LTD simulation. The simulation in the time domain is conducted assuming a locomotive connected with a nine wagon via “ode3” fixed-step solver. The transfer function among the first wagon acceleration (output) and the locomotive force (input) estimated through system identification methodology. Then, the identification results interpreted by investigating step-response characteristic and best response giving parameter set is selected. Next, the modal and spectral analysis performed to reveal the behaviour of the in-train forces and the effects of vibration. This paper discusses a reliable methodology for the longitudinal dynamic analysis of the multi-bodied train in time and frequency domain and clarifies in-train vibration behaviour under the existence of sophisticated draft gear.https://doi.org/10.1515/nleng-2020-0003longitudinal train dynamicstraction curvenumerical analysisfriction draft gearfrequency analysissystem identification |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Uyulan Caglar Arslan Ersen |
spellingShingle |
Uyulan Caglar Arslan Ersen Simulation and time-frequency analysis of the longitudinal train dynamics coupled with a nonlinear friction draft gear Nonlinear Engineering longitudinal train dynamics traction curve numerical analysis friction draft gear frequency analysis system identification |
author_facet |
Uyulan Caglar Arslan Ersen |
author_sort |
Uyulan Caglar |
title |
Simulation and time-frequency analysis of the longitudinal train dynamics coupled with a nonlinear friction draft gear |
title_short |
Simulation and time-frequency analysis of the longitudinal train dynamics coupled with a nonlinear friction draft gear |
title_full |
Simulation and time-frequency analysis of the longitudinal train dynamics coupled with a nonlinear friction draft gear |
title_fullStr |
Simulation and time-frequency analysis of the longitudinal train dynamics coupled with a nonlinear friction draft gear |
title_full_unstemmed |
Simulation and time-frequency analysis of the longitudinal train dynamics coupled with a nonlinear friction draft gear |
title_sort |
simulation and time-frequency analysis of the longitudinal train dynamics coupled with a nonlinear friction draft gear |
publisher |
De Gruyter |
series |
Nonlinear Engineering |
issn |
2192-8010 2192-8029 |
publishDate |
2020-02-01 |
description |
Train safety and operational efficiency can be improved by investigating the dynamics of the train under varying conditions. Longitudinal train dynamics (LTD) simulations performed for such purposes, usually by utilising a nonlinear time-domain model. This paper covers two modes of LTD results corresponding to the time domain and frequency domain analysis. Time-domain solutions are essential to evaluate the full response used for parameter optimisation and controller design studies while frequency domain solutions can provide significant but straightforward clues regarding system dynamics. An advanced draft gear model, which works under a four-stage process is constructed considering all structural components, geometric relationships, friction modelling and dynamic characteristics such as hysteresis, stiffening, state transition, locked unloading, softening. Then, this model is parametrically reduced and implemented into an LTD simulation. The simulation in the time domain is conducted assuming a locomotive connected with a nine wagon via “ode3” fixed-step solver. The transfer function among the first wagon acceleration (output) and the locomotive force (input) estimated through system identification methodology. Then, the identification results interpreted by investigating step-response characteristic and best response giving parameter set is selected. Next, the modal and spectral analysis performed to reveal the behaviour of the in-train forces and the effects of vibration. This paper discusses a reliable methodology for the longitudinal dynamic analysis of the multi-bodied train in time and frequency domain and clarifies in-train vibration behaviour under the existence of sophisticated draft gear. |
topic |
longitudinal train dynamics traction curve numerical analysis friction draft gear frequency analysis system identification |
url |
https://doi.org/10.1515/nleng-2020-0003 |
work_keys_str_mv |
AT uyulancaglar simulationandtimefrequencyanalysisofthelongitudinaltraindynamicscoupledwithanonlinearfrictiondraftgear AT arslanersen simulationandtimefrequencyanalysisofthelongitudinaltraindynamicscoupledwithanonlinearfrictiondraftgear |
_version_ |
1717775107237085184 |