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基于静力试验的大跨钢管拱桥承载力的模糊神经网络评价
引用本文:袁卫国.基于静力试验的大跨钢管拱桥承载力的模糊神经网络评价[J].中南公路工程,2006,31(3):122-124.
作者姓名:袁卫国
作者单位:广东省公路勘察规划设计院,广东广州510507
摘    要:在深入研究现有桥梁结构承载力评价方法的基础上,把模糊理论与人工神经网络技术结合起来应用于大跨度钢管混凝土拱桥的承载力评价.建立了模糊神经网络评价模型,通过样本训练,获取评价专家的经验知识和直觉思维.经实际工程检验,评价结果直观简单,较好地反映了在役桥梁结构的承载力状况.

关 键 词:静力试验  钢管混凝土拱桥  模糊神经网络  承载力
文章编号:1002-1205(2006)03-0122-03
收稿时间:2004-11-26
修稿时间:2004年11月26

Using Fuzzy-Neural Network to Evaluate the Load Bearing of the Long-span CFST Arch Bridge Based on Static Test
YUAN Weiguo.Using Fuzzy-Neural Network to Evaluate the Load Bearing of the Long-span CFST Arch Bridge Based on Static Test[J].Central South Highway Engineering,2006,31(3):122-124.
Authors:YUAN Weiguo
Institution:GuangDong Highway Design Institue, Guangzhou, Guangdong 510507, China
Abstract:This paper further researches the exiting evaluation methods of the load bearing of bridge construction,and combine fuzzy theory with the technology of neural network to evaluate the load bearing of the long-span CFST arch bridge,set up a Fuzzy-neural Network model,this model can attain expert's experience and instinct thought by network stylebook training.The method is proved feasible and practical through being applied in the practical project,with an intuitionist and simple result of evaluation reflecting the load bearing status of existing bridge.
Keywords:CFST arch bridge  Fuzzy-Neural Network  load bearing evaluation
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