长距离重载列车实时流体动力空气制动模型

IF 1.9 4区工程技术 Q3 ENGINEERING, MECHANICAL

Journal of Computational and Nonlinear Dynamics Pub Date : 2023-02-07 DOI:10.1115/1.4056849

Qing Wu, Xiaohua Ge, E. Bernal, Peng-fei Liu

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引用次数: 0

摘要

长期重载列车的实时流体动力空气制动模型尚未在公开文献中报道。本文在前人《铁路气制动模型与并行计算方案》的基础上，对前人的模型进行了升级，实现了实时性。实时影响因素包括新的制动缸模型、新的特性更新方案和并行计算的应用。结果表明，对于150节车厢的列车紧急制动仿真，计算速度由慢于实时的5.26倍提高到快于实时的8.6倍。这三种贡献分别将计算速度提高了基线模型的8.8倍、1.8倍和2.9倍。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Real-Time Fluid Dynamic Air Brake Model for Long Heavy Haul Trains

Practical real-time fluid dynamic air brake models for long heavy haul trains have not been reported in open literature. Based on a previous work titled 'Railway Air Brake Model and Parallel Computing Scheme' in the same journal, this paper proposed upgrades to the previous model and achieved the real-time feature. The real-time contributing factors included a new brake cylinder model, a new scheme for updating characteristics, and the application of parallel computing. Results show that, for a 150-wagon train emergency brake simulation, the computing speed was improved from 5.26 times slower than real-time to 8.6 times faster than real-time. The three contributions improved the computing speed by 8.8, 1.8 and 2.9 times faster than the baseline models, respectively.

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来源期刊

Journal of Computational and Nonlinear Dynamics 工程技术-工程：机械

CiteScore

4.00

自引率

10.00%

发文量

审稿时长

6-12 weeks

期刊介绍： The purpose of the Journal of Computational and Nonlinear Dynamics is to provide a medium for rapid dissemination of original research results in theoretical as well as applied computational and nonlinear dynamics. The journal serves as a forum for the exchange of new ideas and applications in computational, rigid and flexible multi-body system dynamics and all aspects (analytical, numerical, and experimental) of dynamics associated with nonlinear systems. The broad scope of the journal encompasses all computational and nonlinear problems occurring in aeronautical, biological, electrical, mechanical, physical, and structural systems.