Digital simulation platform for rail transit mobile equipment
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摘要: 基于空气动力学软件Fluent、系统动力学软件Simpack和控制类软件Simulink等基础仿真工具完成轨道交通移动装备数字仿真平台的开发：从基础层、应用软件层、业务层和用户层4个层面对系统的框架进行设计，实现数字仿真平台的整体管控，具备仿真计算、图形处理和数据存储管理等功能；通过对理论计算模型研究提出多学科联合仿真计算方法。所建新型数字仿真平台不仅具备较好的通用性、适配性和扩展性，对提高我国轨道交通移动装备设计的水平、加快新型载运工具研发速率具有一定的应用价值。Abstract: Based on the basic simulation tools such as aerodynamics software Fluent, system dynamics software Simpack and control software Simulink, this article implemented the development of digital simulation platform for rail transit mobile equipment. The article designed the framework of the system from the four layers of basic layer, application software layer, business layer and user layer to realize the overall control of the digital simulation platform, which had the functions of simulation calculation, graphics processing and data storage management, and through the study of theoretical calculation model, proposed a multidisciplinary joint simulation method. The new digital simulation platform not only has good universality, adaptability and expansibility, but also has certain application value to improve the design level of mobile equipment of rail transit in China and speed up the research and development rate of new vehicles.
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[1] 王 皓,贾 冰,王成武,等. 面向对象的高速动车组牵引制动仿真系统设计 [J]. 铁路计算机应用,2018,27(10):16-21. doi: 10.3969/j.issn.1005-8451.2018.10.004 [2] 肖田元,范文慧. 基于HLA的一体化协同设计、仿真、优化平台 [J]. 系统仿真学报,2008,20(13):3542-3547. [3] 李 田,张继业,张卫华. 横风下高速列车流固耦合动力学联合仿真 [J]. 振动工程学报,2012,25(2):138-145. doi: 10.3969/j.issn.1004-4523.2012.02.006 [4] D. L. Chopp, N. Sukumar. Fatigue crack propagation of multiple coplanar cracks with the coupled extended finite element/fast marching method [J]. International Journal of Engineering Science, 2003, 41(8): 845-869. doi: 10.1016/S0020-7225(02)00322-1 [5] 桂 翔. 城市轨道交通牵引计算仿真系统的研究和开发[D]. 北京: 北京交通大学, 2008. [6] 康 熊. 高速动车组列车牵引仿真计算技术研究 [J]. 中国工程科学,2011(1):62-68. doi: 10.3969/j.issn.1009-1742.2011.01.009 [7] Jianming Yang, Frederick Stern. A highly scalable massively parallel fast marching method for the Eikonal equation[J] Journal of Computational Physics, 2016(332):333-362. [8] 李洁琼. 海量存储资源管理关键技术研究[D]. 武汉: 华中科技大学, 2011. [9] 程 巧. 仿真资源管理系统中的数据挖掘技术研究[D]. 长沙: 国防科学技术大学, 2013. [10] 章翔峰. 支持多学科协同设计的航天产品仿真数据管理系统 [J]. 航天制造技术,2013(6):58-61.
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