拉索桥梁安全性与耐久性评估的专家系统设计

An Expert System Design of the Security and Durability Assessment for Stayed Cable Bridge

应用模糊神经网络开发了以斜拉桥为背景的拉索桥梁安全性与耐久性评估专家系统。该系统能够同时处理数值型和语言描述型变量。根据桥梁监测过程中所获得的数据，它能对桥梁总体及其各个部分的状况进行评估，及时获得桥梁运行状态信息，评估其退化及损伤程度，对大型桥梁的现代化管理具有重要的现实意义。阐述了评估系统的工作原理及其实现方法，在介绍系统结构及各模块功能的同时，以斜拉桥试验为例展示该系统用于桥梁安全性及耐久性评估的部分功能。

This paper devotes to the expert system of the security and durability assessment of stayed cable bridges applying with Fuzzy Neural Networks (FNN). The system can process variables of both numerical style and semantic style. This system can make an assessment to the general and individual parts of cable bridges based on the data collected by testing the bridge, acquire the bridges working phase information, evaluate the extent of its degrade and damage. It is realistic and significant to the modern management of large scale bridges. This paper elucidates the basic principle and the realizing method of the assessment expert system. While introducing the system structure and its models function, the paper shows some of functions of the assessment expert system illustrated by the experiment on the stayed cable bridge.