摘要
探讨了钢管混凝土拱桥的损伤诊断方法。考虑到钢管混凝土拱桥结构的复杂性,提出基于桥梁动力特性,结合人工神经网络的3阶段分步法对钢管混凝土拱桥进行损伤诊断,先进行桥梁的异常检测,再确定损伤区段,最后评估构件的损伤程度。建立了三维有限元模型,对江汉三桥进行了动力模拟损伤诊断分析,验证了所述方法的可行性。
The damage diagnose method of concrete-filled steel tube arch bridge was studied. This paper gave the threestage hierarchical identification strategy used for the damage diagnose. Firstly, a neural network technique was proposed for damage alarming. The second stage was to identify the deck segment, which contained damaged members. The third stage was to identify the damage extent of specific members. The result of simulation diagnose analysis of the Third Jianghan Bridge have verified the feasibility of the stated method.
出处
《武汉理工大学学报》
EI
CAS
CSCD
北大核心
2005年第8期38-41,共4页
Journal of Wuhan University of Technology
基金
湖北省自然科学基金(2003ABA016)
湖北省科技攻关项目(2002AA101C14)
关键词
钢管混凝土拱桥
损伤诊断
模态参数
神经网络
concrete-filled steel tube arch bridge
damage diagnose
modal parameter
neural network
