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作者:

Liu, Zhansheng (Liu, Zhansheng.) | Wang, Jingchao (Wang, Jingchao.) | Han, Zebin (Han, Zebin.) | Xue, Suduo (Xue, Suduo.) (学者:薛素铎) | Wang, Zeqiang (Wang, Zeqiang.) | Zhang, Weilian (Zhang, Weilian.)

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摘要:

The length error of members is the most important factor in the initial formation and pretension deviations of cable-truss structures.We conducted random tests of the radial cable length in the cable-truss structure of spokes with a designed span of 6m.Based on the reliability theory, we used the response surface and Monte Carlo methods to obtain a reliability index for different working conditions.Lastly, we obtained a reliability fitting equation and the sensitivities of different structural parameters.The results show that random errors in radial cables considerably influence the reliability of the structure. © 2019, Editorial Board of Journal of Tianjin University(Science and Technology). All right reserved.

关键词:

Cables Monte Carlo methods Random errors Reliability theory Trusses

作者机构:

  • [ 1 ] [Liu, Zhansheng]College of Civil Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Wang, Jingchao]College of Civil Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Han, Zebin]College of Civil Engineering, Tongji University, Shanghai; 200092, China
  • [ 4 ] [Han, Zebin]School of Aerospace and Architectural Engineering, Harbin Engineering University, Harbin; 150001, China
  • [ 5 ] [Xue, Suduo]College of Civil Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Wang, Zeqiang]Beijing Building Construction Research Institute Co., Ltd., Beijing; 100036, China
  • [ 7 ] [Zhang, Weilian]Beijing Building Construction Research Institute Co., Ltd., Beijing; 100036, China

通讯作者信息:

  • [liu, zhansheng]college of civil engineering, beijing university of technology, beijing; 100124, china

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来源 :

Journal of Tianjin University Science and Technology

ISSN: 0493-2137

年份: 2019

卷: 52

页码: 23-30

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 3

ESI高被引论文在榜: 0 展开所有

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