摘要
以桥梁的表观检测数据及无破损检测试验结果为依据,利用神经网络、模糊评判、遗传算法及免疫遗传算法等最新信息处理技术建立起整套的桥梁智能决策辅助系统(专家系统),系统按照维修管理步骤(检查→评价→对策),建立数据库系统、老化评价系统、维修管理计划最优化系统以及由老化原因选定抑制老化要因的对策系统等。该系统不但可以帮助桥梁管理者处理大量的检测数据,评价既有桥梁的老化特性,还可以根据预算和施工条件,给出最佳的桥梁维修管理方案。
An intelligence decision support system based on a combination of neural networks,fuzzy set theory,genetic algorithms and immune algorithms is developed for bridge management which needs visual inspection data and non destructive testing.The system is composed of database system,bridge rating expert system,optimum maintenance planning system,and bridge maintenance strategy support system,which are established according to the management flow of bridge inspection,bridge evaluation,and maintenance strategy.This system can not only process quantity of data and assess the deterioration characteristics of the existing bridges,but also provide optimum bridge maintenance plan for advanced management according to the project budget and construction condition.
出处
《公路交通科技》
CAS
CSCD
北大核心
2004年第9期70-73,共4页
Journal of Highway and Transportation Research and Development
基金
日本文部科学省科学研究费资助项目(10450169)
关键词
桥梁管理
决策辅助系统
数据库系统
老化评价系统
维修管理计划
Bridge management
Decision support system
Database system
Bridge rating expert system
Maintenance plan
