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The second part of the paper continues a discussion on the topic of paralel computations in railway dynamics. The algorithms described in the first part of the paper are applied to parallel simulation on computers with multicore processors of six different models of rail vehicles and trains with the number of degrees of freedom from about one hundred to more than 20 thousands. A considerable simulation speedup is reported. In addition, an example of evaluation of wheel profile wear on multicore processors and comparison of different approaches to multi-variant computations are considered.
Czasopismo
Rocznik
Tom
Strony
31--38
Opis fizyczny
Bibliogr. 7 poz.
Twórcy
autor
- Bryansk State Technical University, Laboratory of Computational Mechanics, bulv. 50 let Oktyabrya 7, Bryansk, 241035, Russia
autor
- Bryansk State Technical University, Laboratory of Computational Mechanics, bulv. 50 let Oktyabrya 7, Bryansk, 241035, Russia
autor
- Bryansk State Technical University, Laboratory of Computational Mechanics, bulv. 50 let Oktyabrya 7, Bryansk, 241035, Russia
Bibliografia
- 1. Pogorelov, D. & Rodikov, A. & Kovelev, R. Parallel computations and co-simulation in Universal Mechanism Software. Part I: Algorithms and implementation. Transport Problems. 2019. Vol. 14(3). P. 163-175.
- 2. Universal Mechanism. Bryansk: Laboratory of Computational Mechanics. Available at: www.universalmechanism.com/
- 3. Pogorelov, D.Y. Simulation of rail vehicle dynamics with Universal Mechanism software. In: Sładkowski, A. (ed.). Rail vehicle dynamics and associated problems. Gliwice: Wydawnictwo Politechniki Śląskiej. 2005. P. 13–58.
- 4. Nakajima, T. & Feldmeier, C. & Sugiyama, H. Flexible Moving track model for curve negotiation analysis of railroad vehicles with rail roll deflection. IMechE Part K: Journal of Multi-body Dynamics. 2016. Vol. 230. No. 1. P. 85-98.
- 5. Kovalev, R. & Lysikov, N. & Mikheev, G. & et al. Freight car models and their computer-aided dynamic analysis. Multibody System Dynamics. 2009. Vol. 22. No. 4. P. 399-423.
- 6. Wu, Q. & Spiryagin, M. & Cole, C. & et al. International benchmarking of longitudinal train dynamics simulators: results. Vehicle System Dynamics. 2018. Vol. 56. No. 3. P. 343-365.
- 7. Михеев, Г.В. & Погорелов Д.Ю. & Родиков, А.Н. Методы моделирования динамики железнодорожных колесных пар с учетом упругости. Вестник Брянского государственного технического университета. 2019. No. 4(77). P. 40–51. [In Russian: Mikheev, G. & Pogorelov, D. & Rodikov A. Methods for wheelset dynamic modeling taking into account elasticity. Proceedings of Bryansk State Technical University].
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
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Bibliografia
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bwmeta1.element.baztech-f9b8ccda-ec94-4eb4-a515-21f283eaa58a