Railway Air Brake Model and Parallel Computing Scheme

被引:34
作者
Wu, Qing [1 ]
Cole, Colin [1 ]
Spiryagin, Maksym [1 ]
Wang, Yucang [2 ]
Ma, Weihua [3 ]
Wei, Chongfeng [4 ]
机构
[1] Cent Queensland Univ, Ctr Railway Engn, Rockhampton, Qld 4701, Australia
[2] Cent Queensland Univ, Sch Engn & Technol, Rockhampton, Qld 4701, Australia
[3] Southwest Jiaotong Univ, State Key Lab Tract Power, Chengdu 610031, Sichuan, Peoples R China
[4] Univ Waterloo, Dept Syst Design Engn, Waterloo, ON N2L 3G1, Canada
来源
JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS | 2017年 / 12卷 / 05期
基金
中国国家自然科学基金;
关键词
air brake; gas dynamics; method of characteristics; railway train dynamics; parallel computing; LONGITUDINAL TRAIN DYNAMICS; SIMULATION; SYSTEM;
D O I
10.1115/1.4036421
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper developed a detailed fluid dynamics model and a parallel computing scheme for air brake systems on long freight trains. The model consists of subsystem models for pipes, locomotive brake valves, and wagon brake valves. A new efficient hose connection boundary condition that considers pressure loss across the connection was developed. Simulations with 150 sets of wagon brake systems were conducted and validated against experimental data; the simulated results and measured results reached an agreement with the maximum difference of 15%; all important air brake system features were well simulated. Computing time was compared for simulations with and without parallel computing. The computing time for the conventional sequential computing scheme was about 6.7 times slower than real-time. Parallel computing using four computing cores decreased the computing time by 70%. Real-time simulations were achieved by parallel computing using eight computer cores.
引用
收藏
页数:11
相关论文
共 30 条
[1]  
Abdol-Hamid K. S., 1986, 86WART15 ASME
[2]   Implementation of electronically controlled pneumatic brake formulation in longitudinal train dynamics algorithms [J].
Aboubakr, Ahmed K. ;
Volpi, Martino ;
Shabana, Ahmed A. ;
Cheli, Federico ;
Melzi, Stefano .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART K-JOURNAL OF MULTI-BODY DYNAMICS, 2016, 230 (04) :505-526
[3]  
Afshari A, 2013, P I MECH ENG F-J RAI, V227, P38, DOI [10.1177/0954409712447231, 10.1177/095440971244723]
[4]  
[Anonymous], 1993, PROC IMECHE PART F J
[5]  
Balaji P, 2014, MPICH USERS GUIDE VE
[6]   Numerical and experimental approach for the evaluation of severe longitudinal dynamics of heavy freight trains [J].
Belforte, P. ;
Cheli, F. ;
Diana, G. ;
Melzi, S. .
VEHICLE SYSTEM DYNAMICS, 2008, 46 :937-955
[7]  
Benson R.S., 1982, THERMODYNAMICS GAS D, V1
[8]   MATHEMATICAL-MODEL OF A RAILWAY PNEUMATIC BRAKE SYSTEM WITH VARYING CYLINDER CAPACITY EFFECTS [J].
BHARATH, S ;
NAKRA, BC ;
GUPTA, KN .
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 1990, 112 (03) :456-462
[9]   TrainDy: the new Union Internationale des Chemins de Fer software for freight train interoperability [J].
Cantone, L. .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT, 2011, 225 (F1) :57-70
[10]  
Central Queensland University, 2015, HIGH PERFORMANCE COM