一种中、下承式拱桥吊杆损伤识别方法  

A Suspender Damage Assessment Method of Through and Half-through Arch Bridges

作　　者：吴孝清[1] 谢官模[1] 

机构地区：[1]武汉理工大学理学院,武汉430070

出　　处：《武汉理工大学学报》2014年第11期97-102,共6页Journal of Wuhan University of Technology

基　　金：中央高校基本科研业务费专项资金(2014-zy-170)

摘　　要：通过对吊杆损伤分布向量与吊杆索力变化向量关系的线性改造,建立了新的中、下承式拱桥吊杆损伤预测模型。提出了反映损伤与索力变化关系的影响矩阵及其构造方法,在保持求解精度的前提下,简化了数学处理。借助改进的粒子群优化(PSO)算法,通过自编FORTRAN程序,成功解决了高维损伤向量的约束优化问题,从而可借助索力测量结果确定受损吊杆的位置和数量,并且输出损伤程度信息。理论分析及数值试验表明,文中的损伤识别方法具有较高的识别精度,并具有较好的鲁棒性。This study proposed a new suspender damage prediction model of through and half-through arch bridges. An influence matrix reflecting the damage value and the cable force variation was established by the linear transformation relationship between the damage distribution vector and the cable force variation vector, which can simplify the mathematical treatment without sacrificing accuracy. A FORTRAN program that can solve the high-dimensional constrained optimization successfully was written with the help of the improved particle swarm optimization （PSO） algorithm. This technological process can recognize the position and number of damaged suspenders, and output the damage degree through the cable force measurement information. The theoretical analysis results and numerical experiments show that the precision of damage assessment of this method is high and has strong robustness.

关 键 词：桥梁工程 损伤识别 PSO 有限单元法 影响矩阵 

分 类 号：U446.3[建筑科学—桥梁与隧道工程]