摘要
该文基于神经网络损伤识别分析理论,以成都市清水河自锚式悬索桥为例,对将BP网络算法应用于悬索桥损伤识别的效果进行了分析研究。分析研究表明:BP神经网络不仅能对单一构件不同程度损伤进行有效识别,对两个构件的不同程度损伤也能进行一定程度的识别,并且可以同时进行损伤位置与损伤程度的识别。
Based on the nerve network damage distinguishing analysis theory and taking the self-anchored suspension bridge of Qingshui River in Chengdu City as an example,the article analyzes and studies the effect of BP network algorithm applied for the damage distinguishing of the suspension bridge. The analysis and the study make clearly that BP nerve network can not only efficiently distinguish the damages to varying degrees of single component,but also distinguish the different damages of two components to a certain degrees,and at the same time,can distinguish the damage position and the damage degree.
出处
《城市道桥与防洪》
2008年第6期127-130,共4页
Urban Roads Bridges & Flood Control
关键词
神经网络
损伤识别
BP网络算法
悬索桥
损伤位置
损伤程度
nerve network,damage distinguishing,BP network algorithm,suspension bridge,damage position,damage degree
