Study on comprehensive evaluation and decision-making method for all-composite bridge structure design scheme

被引:0
|
作者
Wang, Kai [1 ,2 ]
机构
[1] Civil Aviat Flight Univ China, Engn Tech Training Ctr, Guanghan 618307, Peoples R China
[2] Southwest Jiaotong Univ, Sch Mech & Aerosp Engn, Chengdu, Peoples R China
基金
中国国家自然科学基金;
关键词
All-composite bridge; optimization design; structural efficiency; grey correlation analysis; entropy weight method; OPTIMIZATION; DECK;
D O I
10.1177/16878132251319676
中图分类号
O414.1 [热力学];
学科分类号
摘要
A comprehensive evaluation and decision-making method for all-composite bridge structure design scheme with multiple structural parameters as variables was proposed. First, four types of structure layouts were designed according to the designed conditions. Combining grey correlation analysis and entropy weight method, a comprehensive efficiency evaluation model for the design scheme was established, and the I-beam bridge was selected as the optimal scheme. Then, the detail-structure optimization and lay-up design of the I-beam bridge were carried out by using equi-strength design and stiffener design. Finally, all-composite bridges including box-girder bridge, I-beam bridge, truss bridge, and arch bridge, as well as stiffened I-beam bridge, were manufactured by using molding method. The four point bending test was used to verify the optimum design. The results show that I-beam bridge has highest structural efficiency, then followed by box-girder bridge, and truss bridge has the least structural efficiency, which is consistent with the comprehensive efficiency evaluation results. The damage location of the test and numerical analysis are basically the same. The ratio of load to mass for stiffened I-beam bridge reaches 48.88 N g-1, which is 38.16% higher comparing with that of the initial design. The effectiveness of the optimum method was verified by the experimental results.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Research on Evaluation and Decision-Making Model of Product Design Scheme Based on TFN-AHP-GRA
    Yang, Xiaoan
    Deng, Qian
    Sun, Guanglong
    Wang, Bingbing
    ADVANCED MANUFACTURING SYSTEMS, PTS 1-3, 2011, 201-203 : 1170 - +
  • [42] Preferred selection method for maintainability design schemes based on integrative evaluation decision-making of design factors
    Luo, Xu
    Ge, Zhexue
    Yang, Yongmin
    Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology, 2012, 34 (03): : 58 - 62
  • [43] A REFERENTIAL SCHEME OF FUZZY DECISION-MAKING AND ITS NEURAL NETWORK STRUCTURE
    PEDRYCZ, W
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1991, 21 (06): : 1593 - 1604
  • [44] Business Model and Management Decision-Making Method of Comprehensive Apartments for the Elderly
    Gong, Zhongyi
    Jiang, Keyin
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [45] Application of Interval Multiple Attribute Decision-making Method to Standard Instrument Departure Procedure Design' Scheme
    Ken, Chen
    SUSTAINABLE DEVELOPMENT AND ENVIRONMENT II, PTS 1 AND 2, 2013, 409-410 : 1248 - 1252
  • [46] Comprehensive evaluation of multi-energy complementary ecosystem based on improved multicriteria decision-making method
    Huang, Shuyi
    Zou, Xuetong
    Liang, Huaguang
    Chen, Jie
    CLEAN ENERGY, 2024, 8 (01): : 226 - 236
  • [47] Decision-Making Method of Qualitative and Quantitative Comprehensive Evaluation of Talents Based on Probability Hesitation Fuzzy Language
    Ji, Xueer
    Wang, Lei
    Xue, Huifeng
    Gao, Yufeng
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
  • [48] Fuzzy comprehensive evaluation of urban regeneration decision-making based on entropy weight method: Case study of yuzhong peninsula, China
    Zhou, Tao
    Zhou, Yulin
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2015, 29 (06) : 2661 - 2668
  • [49] Novel Joint for Assembly of All-Composite Space Truss Structures: Conceptual Design and Preliminary Study
    Bai, Yu
    Yang, Xiao
    JOURNAL OF COMPOSITES FOR CONSTRUCTION, 2013, 17 (01) : 130 - 138
  • [50] The design and evaluation of simulations for the development of complex decision-making skills
    Hartley, R
    Varley, G
    IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES, PROCEEDINGS, 2001, : 145 - 148