基于模糊神经网络的桥梁诊断辅助系统研究

以桥梁的表观检测数据及无破损检测试验结果为依据,结合专家对系列桥梁的诊断评价结果,利用神经网络、模糊评判等信息处理技术开发了一套用于管理的桥梁诊断辅助系统。该系统可以帮助桥梁管理人员从大量的检测数据中,综合评价桥梁的老化状况。以现场检测得到的数据为例,详细地阐述了系统中桥梁老化评价功能的推理过程,并通过几座桥的检测实例验证了系统的可靠性。系统已在中国和日本的部分地区使用,提高了桥梁的管理工作效率。

Research on bridge diagnosis system with fuzzy-neural network

A diagnosis system, which based on the visual inspection data and non-destructive testing and combined with expert diagnosis estimation results received from many bridges, is developed for bridge management by employing neural networks and fuzzy theory. The system is capable of making an overall evaluation to the bridge deterioration condition by using the quantity of inspection data. In this paper, the inspection data is introduced to the system to provide the bridge diagnosis process in detail. Examples are presented to demonstrate the validity and reliability of this system. The system already has been applied in some regions of China and Japan and has enhanced the efficiency of bridge management work.