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Volume 51 Issue 5
Sep.  2021
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Article Navigation >  INDUSTRIAL CONSTRUCTION  > 2021  >  51(5): 1-9,123
LIU Zhansheng, SHI Guoliang, WANG Jingchao. RESEARCH ON INTELLIGENT PREDICTION METHOD OF PRESTRESSED CABLE FORCE BASED ON DIGITAL TWINS[J]. INDUSTRIAL CONSTRUCTION, 2021, 51(5): 1-9,123. doi: 10.13204/j.gyjzG20110502
Citation: LIU Zhansheng, SHI Guoliang, WANG Jingchao. RESEARCH ON INTELLIGENT PREDICTION METHOD OF PRESTRESSED CABLE FORCE BASED ON DIGITAL TWINS[J]. INDUSTRIAL CONSTRUCTION, 2021, 51(5): 1-9,123. doi: 10.13204/j.gyjzG20110502
shu

RESEARCH ON INTELLIGENT PREDICTION METHOD OF PRESTRESSED CABLE FORCE BASED ON DIGITAL TWINS

doi: 10.13204/j.gyjzG20110502

  • College of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China

  • Received Date: 2020-11-05
    Available Online: 2021-09-16
  • Publish Date: 2021-09-16
    Abstract
  • Aiming at the problem of low accuracy and intelligence of cable force prediction in the cable tensioning process, an intelligent prediction method of prestressed cable force based on digital twins was proposed. According to the current research status of cable tension, the main factors affecting the cable force were analyzed, and the current method of prestressed cable force prediction were summarized. Under the theoretical framework of intelligent predictive closed-loop control, a predictive maintenance method based on digital twins was explored. On this basis, the framework of the fusion prediction method based on digital twins was established, and the implementation process of the fusion prediction and maintenance method was explored. The cable force was predicted from the working condition parameters through the fusion of data. A case analysis of the spoke-type cable truss verified the effectiveness of the method. The intelligent prediction method for prestressed cable force based on digital twins could directly predict the state of cable force from working condition parameters, which improve the accuracy and intelligence of the safety assessment of prestressed steel structures.
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