摘要
通过分析桥梁健康监测中的几个关键性问题,阐述了测试数据分析处理的重要性。针对小波分析技术在信号处理和数据分析领域的优势,举例说明了小波分析在桥梁健康监测中的应用,包括可实现结构振动测试数据的信号去噪、信号检测、特征提取和数据压缩,显示出以小波分析为工具能非常有效地完成桥梁结构健康监测中的特定目标。并基于小波分析提出了结构损伤识别四阶段方法,可分阶段实现大型桥梁健康监测中的损伤预警、确认、定位及定量。较全面地展示了小波分析在桥梁健康监测中的广泛应用前景。
Several key problems in bridge health monitoring are analyzed, and the importance of signal-processing and data analysis were pointed out. Due to the advantage of wavelet analysis in the field of signal-processing and data analysis, wavelet analysis method is presented to realize signal de-noise, signal detection, feature extraction and data compression in bridge health monitoring systel~ With appfication examples, it is shown that the wavelet analysis is very effective to solve special problems in bridge structure health monitoring system. Based on wavelet analysis, a four-step method for structural damage identification is presented, by which damage alarming, damage validity, damage location and damage qualification may be conducted in long-span bridges. It is shown that there is a good perspective to utilize wavelet analysis in bridge health monitoring.
出处
《工程力学》
EI
CSCD
北大核心
2006年第12期129-135,共7页
Engineering Mechanics
基金
中国博士后科学基金资助项目(2005037821)
关键词
桥梁工程
健康监测
小波分析
数据分析
损伤识别
bridge engineering
health monitoring
wavelet analysis
data analysis
damage identification
