摘要
在混凝土梁体裂缝分析的基础上,以弯曲裂缝和剪切斜裂缝为对象,建立在役混凝土梁桥裂缝状态评估的指标体系,并确定各评价指标的具体隶属度函数取值,然后应用模糊神经网络(FNN)方法进行裂缝状态评估的仿真分析,并通过几座混凝土梁桥的裂缝统计实例验证该方法的有效性。
On the basis of analysis of the cracks in concrete beams, this paper firstly sets up the crack condition assessment index system for both the flexural crack and shear oblique crack in in-service concrete beam bridges and determines the specific membership functions for each assessment index in the system. Then the paper makes the simulation analysis of the crack condition assessment, using the Fuzzy-Neural Network （FNN） method and also verifies the effectiveness of the method by means of the statistical crack samples taken from several concrete beam bridges.
出处
《桥梁建设》
EI
CSCD
北大核心
2008年第6期22-24,33,共4页
Bridge Construction
关键词
混凝土桥
模糊神经网络
裂缝
评估
concrete bridge
fuzzy neural network
crack
assessment
