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作者:

Nana, Niu (Nana, Niu.) | Zhao Yongsheng (Zhao Yongsheng.) (学者:赵永胜) | Yang Congbin (Yang Congbin.) | Wu Hongchao (Wu Hongchao.) | Ying, Li (Ying, Li.) | Tao, Zhang (Tao, Zhang.) (学者:张涛)

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EI Scopus SCIE

摘要:

Various deterministic and uncertain factors are widely present in mechanical equipment and their working conditions. Attenuation of the contact stiffness of bolted joints caused by bolt loosening will directly affect the dynamic characteristics of the joint surface and the working state of the equipment. This paper proposes a contact stiffness attenuation model that considers time-varying uncertainty of the bolt pre-tightening force as a theoretical basis for designing the initial bolt pre-tightening force and secondary tightening strategies. First, the microscopic contact mechanism of the bolted joint surface was revealed, and then a joint contact load and contact stiffness model based on Hertz contact theory and fractal theory was established. A nonlinear mechanical model of the bolted contact surface was obtained. Considering the decrease in bolt pre-tightening force during service, a contact stiffness attenuation law for bolted joints is explored, and a model of the connection reliability of group bolt joints with time-varying uncertainty is established. The bolt pre-tightening force of a railway locomotive was taken as an example and the connection reliability of group bolt structures was predicted, and it is defined that the bolted structure fails when the contact stiffness drops to 80% of the initial value, and the reliability of the group bolts will drop sharply on the 15th day after service, and will almost completely fail on the 22nd day. The proposed theory improves the accuracy of contact modeling and provides a new direction for bolt tightening strategies.

关键词:

Stiffness attenuation Bolted joint surface Reliability prediction Time-varying uncertainty

作者机构:

  • [ 1 ] [Nana, Niu]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Zhao Yongsheng]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Yang Congbin]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Ying, Li]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Tao, Zhang]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 6 ] [Nana, Niu]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 7 ] [Zhao Yongsheng]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 8 ] [Yang Congbin]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 9 ] [Wu Hongchao]Sany Renewable Energy Co Ltd, Beijing 102200, Peoples R China
  • [ 10 ] [Ying, Li]Beijing Univ Technol, Machinery Ind Key Lab Heavy Machine Tool Digital, Beijing 100124, Peoples R China
  • [ 11 ] [Tao, Zhang]Beijing Univ Technol, Machinery Ind Key Lab Heavy Machine Tool Digital, Beijing 100124, Peoples R China

通讯作者信息:

  • 赵永胜

    [Zhao Yongsheng]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China;;[Zhao Yongsheng]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China

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来源 :

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

ISSN: 0268-3768

年份: 2021

期: 11-12

卷: 124

页码: 3847-3856

3 . 4 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:87

JCR分区:2

被引次数:

WoS核心集被引频次: 5

SCOPUS被引频次: 6

ESI高被引论文在榜: 0 展开所有

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