连续钢桁梁桥的损伤诊断分析
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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.
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.
引文
[1]李忠献,刘永光.基于遗传神经网络与模态应变能的斜裂缝两阶段诊断方法[J].工程力学,2008,25(2):9-16.
[2]黄维平,王晓燕,唐世振.基于结构部分结点振动响应信息的海洋平台损伤诊断研究[J].工程力学,2008,25(5):218-221.
[3]刘沐宇,谢建和.钢管混凝土拱桥的模拟损伤动力诊断分析[J].武汉理工大学学报,2005,27(8):38-41.
[4]练继建,李松辉,基于支持向量机和模态参数识别的导墙结构损伤诊断研究[J].水利学报,2008,39(6):652-657.
[5]雷慧,李命成.基于柔度的神经网络结构损伤诊断方法[J].福州大学学报(自然科学版),2005,33(1):69-72.
[6]刁延松,李华军.基于神经网络的海洋平台损伤诊断研究[J].振动与冲击,2006,25(4):98-103.
[7]曹忠民,李爱群,杜东升,等.某过桥钢结构健康监测系统设计及安全评价[J].铁道工程学报,2009,(9):55-58.
[8]李宏男,高东伟,伊廷华.土木工程结构健康监测系统的研究状况与进展[J].力学进展,2008,38(2):152-166.
[9]魏保立,苏木标,陈士通,等.芜湖长江大桥连续板桁结合梁的动力特性研究[J].国防交通工程与技术,2005,3(1):17-20.
[10]高赞明,孙崇光,倪一清.基于振动方法的汲水门大桥损伤检测研究[J].地震工程与工程振动,2001,21(4):117-124.
[11]王柏生,倪一清,高赞明.青马大桥桥板结构损伤位置识别的数值模拟[J].土木工程学报,2001,34(3):67-73.
[2]黄维平,王晓燕,唐世振.基于结构部分结点振动响应信息的海洋平台损伤诊断研究[J].工程力学,2008,25(5):218-221.
[3]刘沐宇,谢建和.钢管混凝土拱桥的模拟损伤动力诊断分析[J].武汉理工大学学报,2005,27(8):38-41.
[4]练继建,李松辉,基于支持向量机和模态参数识别的导墙结构损伤诊断研究[J].水利学报,2008,39(6):652-657.
[5]雷慧,李命成.基于柔度的神经网络结构损伤诊断方法[J].福州大学学报(自然科学版),2005,33(1):69-72.
[6]刁延松,李华军.基于神经网络的海洋平台损伤诊断研究[J].振动与冲击,2006,25(4):98-103.
[7]曹忠民,李爱群,杜东升,等.某过桥钢结构健康监测系统设计及安全评价[J].铁道工程学报,2009,(9):55-58.
[8]李宏男,高东伟,伊廷华.土木工程结构健康监测系统的研究状况与进展[J].力学进展,2008,38(2):152-166.
[9]魏保立,苏木标,陈士通,等.芜湖长江大桥连续板桁结合梁的动力特性研究[J].国防交通工程与技术,2005,3(1):17-20.
[10]高赞明,孙崇光,倪一清.基于振动方法的汲水门大桥损伤检测研究[J].地震工程与工程振动,2001,21(4):117-124.
[11]王柏生,倪一清,高赞明.青马大桥桥板结构损伤位置识别的数值模拟[J].土木工程学报,2001,34(3):67-73.
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