期刊论文详细信息
Chinese Journal of Mechanical Engineering
Parameters Calibration of the GISSMO Failure Model for SUS301L-MT
Original Article
Yuxin Liu1  Chao Wang2  Guangwu Yang2  Tao Zhu2  Bing Yang2  Haoxu Ding2  Shoune Xiao2 
[1] FAW Jiefang Automobile Co., LTD, 130011, Changchun, China;State Key Laboratory of Traction Power, Southwest Jiaotong University, 610031, Chengdu, China;
关键词: SUS301L-MT;    Fracture failure;    GISSMO model;    Finite element simulation;    Stress state;   
DOI  :  10.1186/s10033-023-00844-2
 received in 2021-06-10, accepted in 2023-01-06,  发布年份 2023
来源: Springer
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【 摘 要 】

With the development of the rail transit industry, more attention has been paid to the passive safety of rail vehicles. Structural damage is one of the main failure behaviors in a rail vehicle collision, but it has been paid little attention to in past research. In this paper, the quasi-static fracture experiments of SUS301L-MT under different stress states were carried out. The mechanical fracture properties of this material were studied, and the corresponding finite element simulation accuracy was improved to guide the design of vehicle crashworthiness. Through the tests, the fracture behavior of materials with wide stress triaxiality was obtained, and each specimen's fracture locations and fracture strains were determined. Parameters of a generalized incremental stress state dependent damage model (GISSMO) of the material were calibrated, and the model's accuracy was verified with test results from a 45° shear specimen. The GISSMO failure model accurately reflected the fracture characteristics of the material. The mesh dependency of this model was modified and discussed. The results show that the simulation agrees well with experimental data for the force-displacement curve after correction, but the strain distribution needs to be further studied and improved.

【 授权许可】

CC BY   
© The Author(s) 2023

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【 参考文献 】
  • [1]
  • [2]
  • [3]
  • [4]
  • [5]
  • [6]
  • [7]
  • [8]
  • [9]
  • [10]
  • [11]
  • [12]
  • [13]
  • [14]
  • [15]
  • [16]
  • [17]
  • [18]
  • [19]
  • [20]
  • [21]
  • [22]
  • [23]
  • [24]
  • [25]
  • [26]
  • [27]
  • [28]
  • [29]
  • [30]
  • [31]
  • [32]
  • [33]
  • [34]
  • [35]
  • [36]
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