高速公路桥梁桥面板养护方案多目标决策方法  

Multi-objective Decision-Making Method for Bridge Deck Maintenance Scheme for Highway

作　　者：齐锡晶[1] 唐梁 康伟鑫 秦娇娇 QI Xi-jing;TANG Liang;KANG Wei-xin;QIN Jiao-jiao(School of Resources&Civil Engineering,Northeastern University,Shenyang 110819,China;School of Architecture,Liaoning Vocational College of Ecological Engineering,Shenyang 110101,China)

机构地区：[1]东北大学资源与土木工程学院,辽宁沈阳110819 [2]辽宁生态工程职业学院建筑学院,辽宁沈阳110101

出　　处：《东北大学学报（自然科学版）》2020年第7期1033-1040,共8页Journal of Northeastern University(Natural Science)

基　　金：辽宁省自然科学基金资助项目(20170540303).

摘　　要：针对桥梁养护决策效率低、养护资金不足和分配不合理等问题,提出了一种高速公路桥梁桥面板养护方案多目标决策方法.首先,建立养护技术数据库以储存养护技术的量化数据;之后,使用基于熵权的理想点(TOPSIS)法和层次分析法(AHP)分别确定高速公路网络内桥梁桥面板养护优先级系数和养护目标的权重;然后,构建以0-1背包问题为基础的多目标决策模型;最后,以辽宁省沈阳市绕城高速(G1501)公路上5座桥梁为案例验证该方法的有效性.结果表明,该方法在养护决策的过程中能够充分考虑桥梁桥面板的养护优先级,制定合理、有效的养护策略,从而有效支持公路桥梁养护管理决策.In view of the low efficiency of bridge maintenance decision-making,insufficient maintenance funds and unreasonable fund allocation,a multi-objective decision-making method for bridge deck maintenance scheme of highway was proposed.Firstly,a database was established to collect quantitative data of maintenance methods.Secondly,entropy-weight TOPSIS and analytic hierarchy process(AHP)were used to determine the maintenance priority coefficients of bridge decks in highway networks and the weights of maintenance objectives respectively.Thirdly,a multi-objective decision-making model based on 0-1 knapsack problems was established.Finally,five bridges on Raocheng Highway(G1501)located in Shenyang city in Liaoning Province,China were taken as a case study to demonstrate the validity and the effectiveness of the proposed method.The results showed that the proposed method considers the maintenance priorities of bridge decks during the maintenance decision-making process and can give reasonable and feasible maintenance solutions,thus it can be an effective support for the maintenance decision-making management of highway bridges.

关 键 词：桥梁养护管理 理想点法(TOPSIS) 层次分析法(AHP) 0-1背包问题 多目标优化 

分 类 号：TP20[自动化与计算机技术—检测技术与自动化装置]