摘要
现阶段的桥梁结构健康监测已经从理论分析转到实际应用,对于桥梁监测来说,桥梁的损伤诊断特别是旧桥(或服役桥梁)的损伤诊断是其重要的组成部分。桥梁结构所处的环境比较复杂,其自身受环境影响又比较大,探究一种合理的、可行的桥梁结构损伤诊断方法成为当务之急。本文针对芜湖长江大桥连续钢桁梁桥部分进行动力特性分析,结合神经网络以频率和振型动力特性参数对连续钢桁梁进行了损伤辨识、损伤定位和损伤标定,并对损伤诊断结果进行了讨论,指出三阶段诊断方法在复杂桥梁损伤诊断中具有诊断概念明确、操作简便、实际可行性的现实意义。
Bridge health monitoring has been currently applied to practical engineering from theoretical Analy-sis.For bridge health monitoring,damage diagnosis of bridge such as old bridge or existing bridge plays an important part and that of environment of it is very complex.Because the bridge is much affected by environment,it is urgent to find a feasible and reasonable method of bridge damage diagnosis.In this paper,the dy-namic characteristic of continuous steel truss bridge is analyzed.The damage detection of continuous steel truss bridge combined with neural network and natural frequency and vibration mode is carried out.The results of damage diagnosis are discussed.It shows that three-step damage diagnosis method of large and complex bridge has clear concept,simple operation and practical significance.
出处
《华中科技大学学报（城市科学版）》
CAS
2010年第2期63-66,70,共5页
Journal of Huazhong University of Science and Technology
基金
中国航空工业第一集团公司航空科学基金(2008ZA55004)
关键词
连续钢桁梁桥
动力特性
神经网络
损伤诊断
continuous steel truss bridge
dynamic characteristic
artificial neural networks
damage diagno-sis
