基于模糊神经网络的大跨悬索桥安全评估研究

将模糊理论与神经网络技术结合起来,建立用于大跨度悬索桥安全性评估的模糊神经网络.确定大跨度悬索桥的7种评估指标,并通过样本学习对网络进行训练,使网络获取桥梁专家的经验知识和直觉思维.将训练好的网络用于宜昌长江大桥的安全性评估,并与《公路桥涵养护规范》的评估结果相比较.结果表明:采用模糊神经网络对大跨度悬索桥进行评估是一种客观、可行的评估方法.

Research on Safety Assessment of Long-span Suspended Bridges Based on Fuzzy-neural Network

In combination with the fuzzy theory with the neural network,a fuzzy-neural network for safety assessment of the long-span suspended bridges is set up.Seven evaluative indexes of long-span suspended bridges are proposed,and the expert experience is included in this model by training the fuzzy-neural network.The approach is illustrated for the assessment of the Yichang Yangtze river highway bridge and compared with the assessment results of Code for Maintenance of Highway Bridges and Culvers.The results show that the assessment results of long-span suspended bridges by fuzzy-neural network are objective and feasible.