东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2014, Vol. 35 ›› Issue (8): 1206-1211.DOI: 10.12068/j.issn.1005-3026.2014.08.032

• 资源与土木工程 • 上一篇    下一篇

基于信息熵-未确知测度理论的公路桥梁耐久性评价

郑一峰1，李龙1,2，房玮3，高欣1   

  1. (1 吉林大学 建设工程学院， 吉林 长春130010； 2 吉林大学 应用技术学院， 吉林 长春 130010； 3 滨州市公路勘察设计院， 山东 滨州256600)
  • 收稿日期:2013-06-25 修回日期:2013-06-25 出版日期:2014-08-15 发布日期:2014-04-11
  • 通讯作者: 郑一峰
  • 作者简介:郑一峰(1966-)，男，吉林长春人，吉林大学教授.
  • 基金资助:
    国家自然科学基金资助项目(51208224)；中国博士后科学基金资助项目(2013M541304).

Durability Assessment of Highway Bridges Based on Information Entropy and Uncertainty Measurement Theory

ZHENG Yifeng1， LI Long1,2， FANG Wei3， GAO Xin1   

  1. 1 College of Construction Engineering， Jilin University， Changchun 130010， China; 2 Applied Technology College， Jilin University， Changchun 130010， China; 3 Binzhou Highway Survey and Design Institute， Binzhou 256600， China.
  • Received:2013-06-25 Revised:2013-06-25 Online:2014-08-15 Published:2014-04-11
  • Contact: LI Long
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摘要： 为了对桥梁耐久性进行评价和排序，基于信息熵-未确知测度理论建立了桥梁耐久性评价模型.首先根据《公路桥梁技术状况评定标准》确定评价指标体系和单指标测度函数，然后根据各指标的检测结果建立单指标测度评价矩阵.利用信息熵理论得到各指标权重，便可计算多指标测度评价向量.最后按照置信度识别准则进行耐久性等级判定.以长春市红咀子桥为工程实例，对其三跨上部结构进行耐久性评价和排序，并与《公路桥梁技术状况评定标准》所得结果相对比，证明了该方法的有效性.

关键词: 公路桥梁, 未确知测度, 耐久性评价, 置信度识别准则, 信息熵

Abstract: Based on information entropy and uncertainty measurement theory， a model was developed to evaluate and sort the durability of bridges. First， the assessment index system and singleindex measurement functions were determined on the basis of Standards for Technical Condition Evaluation of Highway Bridges. Then， the evaluation matrix of singleindex measurement was achieved according to the field data. The weights of these indices were obtained from the information entropy theory， and the multipleindex measurement vector was calculated. Finally， the durability grade was assessed with credible recognition criteria. The durability of the threespan superstructure components of Hongzuizi Bridge located in Changchun was evaluated and sorted. The results were compared with that obtained according to the standards mentioned above， and the effectiveness of the proposed model was confirmed.

Key words: highway bridge, uncertainty measurement, durability assessment, credible recognition criterion, information entropy

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