• ISSN 0258-2724
  • CN 51-1277/U
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Volume 29 Issue 2
Apr.  2016
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Article Contents
Journal of Southwest Jiaotong University  > 2016  >  29(2): 251-263.
DING Guofu, JIANG Jie, ZHANG Haizhu, MA Xiaojie, LI Rong, ZOU Yisheng, ZHANG Jian. Development and Challenge of Digital Design of High-Speed Trains in China[J]. Journal of Southwest Jiaotong University, 2016, 29(2): 251-263. doi: 10.3969/j.issn.0258-2724.2016.02.005
Citation: DING Guofu, JIANG Jie, ZHANG Haizhu, MA Xiaojie, LI Rong, ZOU Yisheng, ZHANG Jian. Development and Challenge of Digital Design of High-Speed Trains in China[J]. Journal of Southwest Jiaotong University, 2016, 29(2): 251-263. doi: 10.3969/j.issn.0258-2724.2016.02.005
shu

Development and Challenge of Digital Design of High-Speed Trains in China

doi: 10.3969/j.issn.0258-2724.2016.02.005
  • Received Date: 26 Oct 2015
  • Publish Date: 25 Apr 2016
    Abstract
  • The digital research of high-speed trains is an important means to help break through the key theories and technologies, and also a means to adapt to the rapid customization of personalized and diversified demands. Digitalization-based network, information and intelligence are the future direction of development of high-speed trains. Along with the switch from technology introduction to comprehensive independent innovations, the R D of high-speed trains in China transit from the digital design and simulation in a single subject to the direction of coupled system simulation; and design of high-speed trains transits from a pure product design to the modeling and simulation of trains in the whole life cycle, an integrated and optimized design process based on a digital platform. This process is mainly realized by comprehensive use of computer simulation, virtual prototype, design automation, and demand-oriented design technologies. However, there also exist problems such as cost uncertainty, insufficient network integration, and lack of human-centered care. The future R D of high-speed trains will be accomplished on a digital platform based on integrated virtual experiment, whole life cycle of data mining, cost control, ergonomics, knowledge management and reuse technology, etc., which will be further combined with network technologies such as mobile terminals, to realize an open R D.

     

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