节点文献
基于模糊神经网络的混凝土桥梁状态评估系统研究
Research of a Condition State Assessment System for Concrete Bridges Based on Fuzzy-Neural Network
【摘要】 主要研究既有混凝土桥梁技术状态等级评估系统(CBCSAS),该系统包括检测、评估指标参数识别、结构状态评估、主因分析和缺陷优先等级评判等子模块。同时在评估系统中嵌入专家知识,采用多层神经网络和模糊理论实现结构状态评估。最后,以工程实例验证了CBCSAS的可行性与有效性。
【Abstract】 A condition state assessment system for existing concrete bridges is mainly researched,in which the submoduli of the inspection and testing,assessment index parameter identification,structural condition state assessment,major cause analysis and defect priority grades are incorporated.In addition,the expert knowledge are inserted in the system,the multi-layer neural network and fuzzy-set theory are used to implement the structural condition state assessment and the feasibility and effectiveness of the assessment system are finally verified by practical bridges.
- 【文献出处】 桥梁建设 ,Bridge Construction , 编辑部邮箱 ,2009年01期
- 【分类号】U448.33
- 【被引频次】16
- 【下载频次】395