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基于模糊神经网络的大跨度钢管混凝土拱桥安全性评价方法研究
引用本文:刘沐宇,袁卫国.基于模糊神经网络的大跨度钢管混凝土拱桥安全性评价方法研究[J].中国公路学报,2004,17(4):55-58.
作者姓名:刘沐宇  袁卫国
作者单位:武汉理工大学,土木工程与建筑学院,湖北,武汉,430070
基金项目:湖北省自然科学基金项目(2003ABA01 6);湖北省科技攻关项目(2002AA101C14)
摘    要:在深入研究现有桥梁安全性评价方法的基础上,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安全性评价,建立了一种基于三层神经元的多用途量化模糊神经网络评价模型,通过样本学习训练,获取评价专家的经验知识和直觉思维。工程应用结果表明:该方法降低了评价过程中的人为因素影响,保证了评价结果的客观性。

关 键 词:桥梁工程  安全性评价  模糊神经网络  钢管混凝土拱桥
文章编号:1001-7372(2004)04-0055-04
修稿时间:2003年11月27

Research on safety assessment of long-span concrete-filled steel tube arch bridge based on fuzzy-neural network
LIU Mu-yu,YUAN Wei-guo.Research on safety assessment of long-span concrete-filled steel tube arch bridge based on fuzzy-neural network[J].China Journal of Highway and Transport,2004,17(4):55-58.
Authors:LIU Mu-yu  YUAN Wei-guo
Abstract:An approach to safety assessment of long-span concrete-filled steel tube (CFST) arch bridge based on fuzzy-neural network is presented. A three-layer fuzzy-neural network model is set up through the combination between the fuzzy-neural network and the assessing information of the long-span concrete-filled steel tube arch bridge, and the expert experience is included in this model by training the fuzzy-neural network. The approach is illustrated for the long-span concrete-filled steel tube arch bridge in Wuhan of China. The result is shown that the approach is high potential and practicality in order to assess the safety of long-span concrete-filled steel tube arch bridge.
Keywords:bridge engineering  safety assessment  fuzzy-neural network  concrete-filled steel tube arch bridge
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