• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 31 Issue 4
Jul.  2018
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Article Contents
ZHANG Qinghua, CHENG Zhenyu, LIAO Guixing, BU Yizhi, LI Qiao. Optimal Design of Corrugated Steel Deck Plate-UHPC Layer Composite Deck[J]. Journal of Southwest Jiaotong University, 2018, 53(4): 670-678. doi: 10.3969/j.issn.0258-2724.2018.04.002
Citation: ZHANG Qinghua, CHENG Zhenyu, LIAO Guixing, BU Yizhi, LI Qiao. Optimal Design of Corrugated Steel Deck Plate-UHPC Layer Composite Deck[J]. Journal of Southwest Jiaotong University, 2018, 53(4): 670-678. doi: 10.3969/j.issn.0258-2724.2018.04.002

Optimal Design of Corrugated Steel Deck Plate-UHPC Layer Composite Deck

doi: 10.3969/j.issn.0258-2724.2018.04.002
  • Received Date: 21 Oct 2016
  • Publish Date: 01 Aug 2018
  • In order to solve the fatigue problem of orthotropic steel bridge decks, an innovative corrugated steel plate-UHPC (ultra-high performance concrete) layer composite deck structure is proposed based on the cause of the fatigue problems and the basic approaches used to improve the anti-fatigue performance. First, the major design parameters that significantly impact mechanical properties and the corresponding ranges of the parameter values were determined using parametric analysis. A model based on the BP artificial neural network was developed to determine the optimal design of the innovative structure system. Finally, the fatigue performance of the optimal structure was studied. The results show that the number of geometric discontinuity locations and weld joints are decreased, while the local stiffness of the deck plate is increased. According to the results of the parametric analysis, the height of the corrugated steel plate and the width of the top and bottom horizontal parts of the plate play important roles in structure mechanical characteristics. The proposed optimal design model based on the BP(back propagation) artificial neural network is suitable for the optimal design of innovative structure systems, and the maximum error is 4.4%. The innovative bridge deck has good fatigue performance, and its fatigue life is over 200 years, which provides a comprehensive solution to the fatigue problem and has good potential for further development and application.

     

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