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Deep learning-based calibration method for material parameters of resilient wheel rubber components

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成果类型:
期刊论文
作者:
Zhang, Qiang;Liu, Zhiming;Yang, Guangxue;Jing, Yang;Shu, Yiliang;...
通讯作者:
Shu, YL
作者机构:
[Liu, Zhiming; Zhang, Qiang; Yang, Guangxue; Jing, Yang] Beijing Jiaotong Univ, Sch Mech & Elect Control Engn, Beijing 100044, Peoples R China.
[Shu, Yiliang] Changsha Univ Sci & Technol, Coll Automot & Mech Engn, Changsha 410114, Peoples R China.
[Zha, Sixi] Xinjiang Univ, Sch Mech Engn, Urumqi 830046, Peoples R China.
通讯机构:
[Shu, YL ] C
Changsha Univ Sci & Technol, Coll Automot & Mech Engn, Changsha 410114, Peoples R China.
语种:
英文
关键词:
Resilient wheel;Hyperelastic model;Deep learning;Radial stiffness
期刊:
Polymer
ISSN:
0032-3861
年:
2025
卷:
319
页码:
128044
基金类别:
CRediT authorship contribution statement Qiang Zhang: Writing – review & editing, Writing – original draft, Validation, Supervision, Software, Investigation, acquisition, Conceptualization. Zhiming Liu: Writing – original draft, Validation, Software, Resources, acquisition, Formal analysis. Guangxue Yang: Writing – review & editing, Validation, Supervision, Methodology, Investigation, Formal analysis, Data curation. Yang Jing: Writing – review & editing, Writing – original draft, Supervision, Resources, Methodology, Acknowledgements The authors gratefully acknowledge funding from the National Key Research and Development Program ( 2022YFB4301104 ), funding from the National Natural Science Foundation of China ( 12072020 ), funding from the Science and Technology Research and Development Program of China National Railway Group Corporation ( K2021J042 ) and funding from the Central Universities Basic Scientific Research Business Fund ( Science and Technology Leaders Team Project , Project Approval No. 2022JBQY007 ).
机构署名:
本校为通讯机构
院系归属:
汽车与机械工程学院
摘要:
In this article, the hyperelastic material of resilient wheels of subway vehicles is taken as the research object, a method system of identifying and calibrating the constitutive parameters of hyperelastic model based on joint experiment-simulation-deep learning is proposed. The theoretical analytical expression of the true stress-strain on stretch of the hyperelastic model Yeoh model under uniaxial loading condition is deduced, the accurate stress-strain curve data are captured by performing the compression experiment of cylindrical specimen of rubber component of urban rail transit system re...

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