• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
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  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
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Volume 54 Issue 5
Oct.  2019
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Article Contents
LIU Yanhui, ZHANG Yangyang, LIU Junxiao, REN Peng, ZHUO Biao. Prestress Loss Identification Method Based on Influence Matrix in Truss Structure[J]. Journal of Southwest Jiaotong University, 2019, 54(5): 1030-1037. doi: 10.3969/j.issn.0258-2724.20180107
Citation: LIU Yanhui, ZHANG Yangyang, LIU Junxiao, REN Peng, ZHUO Biao. Prestress Loss Identification Method Based on Influence Matrix in Truss Structure[J]. Journal of Southwest Jiaotong University, 2019, 54(5): 1030-1037. doi: 10.3969/j.issn.0258-2724.20180107

Prestress Loss Identification Method Based on Influence Matrix in Truss Structure

doi: 10.3969/j.issn.0258-2724.20180107
  • Received Date: 18 Mar 2018
  • Rev Recd Date: 15 Oct 2018
  • Available Online: 30 May 2019
  • Publish Date: 01 Oct 2019
  • In order to calculate the real-time prestress loss of prestressed strands according to the observed deformation of prestressed truss structure, a prestress loss identification method based on displacement influence matrix is proposed. By finite element analysis, the relationship between the prestress loss and displacement of the observation point on the truss structure is formulated. Moreover, according to the minimum principle, the prestress loss is obtained. The results show that when the unit prestress loss ranges between 30% and 50%, there is minimum error around 1%–2% in calculating prestress loss with displacement influence matrix; the displacement observation point is most sensitive to prestress loss, when it is located at the 1/4 span and 3/4 span of the truss. Finally, by taking an example of the long-span prestressed truss structure near a high-speed railway station on the Qian-Yu line, the accuracy of the method is verified.

     

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