期刊
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
卷 16, 期 4, 页码 2486-2499出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2019.2936048
关键词
Vehicle dynamics; Solid modeling; Accidents; Couplers; Rail transportation; Safety; Optimization; Cloud model theory; high-speed train collisions; impact energy distribution; optimization
类别
资金
- National Key Research and Development Programof China [2016YFB1200505]
- National Natural Science Foundation of China [51775238]
- Fundamental Research Funds for the Central Universities of Central South University [2018zzts159]
- Natural Science Foundation of Hunan [2015JJ3155]
- Innovation-Driven Project of Central South University [2018CX021]
- Hu-Xiang Youth Talent Program [2018RS3002]
With the increasing speed of railway vehicles, deciding how to reasonably distribute impact energy to each vehicle has been a widespread concern in safety protection systems. This article formulates a three-dimensional train-track coupling dynamics model using MAthematical DYnamic MOdels (MADYMO) multibody dynamics software. A train-to-train collision is then simulated using this model. A hybrid solution methodology that combines the non-dominated sorting genetic algorithm II (NSGA-II), modified best and worst method with cloud model theory and grey relational analysis is proposed. The optimization parameters and objectives are determined based on the EN15227 crashworthiness requirements for railway vehicles. An empirical case of an existing train with eight vehicles that have been in operation in China is applied to verify this dynamics model derived from a high-speed train and solution methodology. Analysis and discussion are conducted to monitor the robustness of the results and the practical implications for rail transportation are summarized. The results prove that the obtained optimal solution by this research has better crashworthiness than an existing solution.
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