基于虚拟变形法的桥梁索结构损伤识别研究
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摘要
为了实现桥梁索结构的损伤定位和定量,引入虚拟变形法(VDM),并结合遗传算法以实现准确高效的损伤识别。首先,基于虚拟变形法的基本原理,定义损伤因子;其次,推导损伤因子与虚拟变形的关系,建立以损伤因子为变量的目标函数,并采用遗传算法优化目标函数;最后,通过某实桥有限元数值算例,结合桥梁车辆静载实验过程,详细介绍了吊索损伤识别的步骤。结果证明:该方法能准确高效地实现桥梁索结构的损伤定位和定量。
In order to achieve the damage location and quantification of cable structures of bridge, the virtual distortion method(VDM) is introduced, and it is combined with the genetic algorithm to achieve damage identification accurately and effectively. Firstly, according to the basic principle of virtual distortion method, the damage factor is defined, the relationship between damage factor and virtual distortion is derived, the objective function with damage factor as variable is established, and the genetic algorithm is used to optimize the objective function. Finally, through the finite element numerical example of a real bridge, the steps of damage identification of cable structures are introduced in detail combined with the static load test process of the bridge. The result shows that the method can achieve the damage location and quantification of the bridge cable structure accurately and effectively.
In order to achieve the damage location and quantification of cable structures of bridge, the virtual distortion method(VDM) is introduced, and it is combined with the genetic algorithm to achieve damage identification accurately and effectively. Firstly, according to the basic principle of virtual distortion method, the damage factor is defined, the relationship between damage factor and virtual distortion is derived, the objective function with damage factor as variable is established, and the genetic algorithm is used to optimize the objective function. Finally, through the finite element numerical example of a real bridge, the steps of damage identification of cable structures are introduced in detail combined with the static load test process of the bridge. The result shows that the method can achieve the damage location and quantification of the bridge cable structure accurately and effectively.
引文
[1] 吉伯海,傅中秋.近年国内桥梁倒塌事故原因分析[J].土木工程学报,2010(S1):495-498.
[2] 邓年春,段春凯,王晓琳.基于失效形式的拉索检测与安全评估[J].预应力技术,2017 (3):21-25.
[3] 张华平,魏良军,汪劭祎.斜拉桥索力测试方法及原理综述[J].公路交通科技(应用技术版),2011(10):268-269.
[4] 孙永明,孙航,任远.频率法计算匀质竖直拉索索力的实用公式[J].工程力学,2013,30(4):211-218.
[5] Cho K H,Kim H M ,Jin Y H ,et al.Inspection robot for hanger cable of suspension bridge:mechanism design and analysis[J].Transactions on Mechatronics,2013,18(6):1665-1674.
[6] 刘朝涛,杜子学,武维,等.基于图像处理的桥梁缆索检测系统研制[J].重庆交通大学学报(自然科学版),2014,33(2):5-9.
[7] Liu Y,Ma J,Nie J,Zhang S.(2015).Virtual distortion method-based finite element model updating of bridges by using static deformation[J] Journal of Engineering Mechanics,10.1061/(ASCE)EM.1943-7889.0001006.B4015003.
[8] Kolakowski P.Damage identification by the static virtual distortion method[J].Engineering Transactions,2004,52(4):253-270.
[9] Kolakowski P,Zielinski T G,Holnicki-Szulc J,Damage identification by the dynamic virtual distortion method[J].Journal of Intelligent Material Systems and Structures,2004,15(6):479-493.
[10] 朱劲松,高嫦娥,肖汝诚.基于遗传算法的结构损伤识别及其程序设计[J].哈尔滨工业大学学报,2007,39(12):1952-1956.
[11] 张青霞,侯吉林,段忠东,等.基于子结构虚拟变形的损伤识别方法[J].工程力学.2013,30(12):174-182.
[12] 袁颖,林皋,黄民水,等.噪声影响下基于改进损伤识别因子和遗传算法的结构损伤识别[J].振动与冲击,2012,31(21):168-174.
[13] 陈秋莲,王成栋.基于Matlab遗传算法工具箱的优化计算实现[J].现代电子技术,2007,30(2):124-126.
[14] 李宏男,林世伟,伊廷华.基于静力虚拟变形法的结构损伤识别研究[J].建筑科学与工程学报,2016,33(5):1-6.
[15] 安永辉.基于振动信息的结构损伤识别的几种新方法[D].大连:大连理工大学土木工程学院,2013.
[16] An Y,Spencer B F,Ou J.A test method for damage diagnosis of suspension bridge suspender cables[J].Computer-Aided Civil and Infrastructure Engineering,2015,30(10):771-784
[2] 邓年春,段春凯,王晓琳.基于失效形式的拉索检测与安全评估[J].预应力技术,2017 (3):21-25.
[3] 张华平,魏良军,汪劭祎.斜拉桥索力测试方法及原理综述[J].公路交通科技(应用技术版),2011(10):268-269.
[4] 孙永明,孙航,任远.频率法计算匀质竖直拉索索力的实用公式[J].工程力学,2013,30(4):211-218.
[5] Cho K H,Kim H M ,Jin Y H ,et al.Inspection robot for hanger cable of suspension bridge:mechanism design and analysis[J].Transactions on Mechatronics,2013,18(6):1665-1674.
[6] 刘朝涛,杜子学,武维,等.基于图像处理的桥梁缆索检测系统研制[J].重庆交通大学学报(自然科学版),2014,33(2):5-9.
[7] Liu Y,Ma J,Nie J,Zhang S.(2015).Virtual distortion method-based finite element model updating of bridges by using static deformation[J] Journal of Engineering Mechanics,10.1061/(ASCE)EM.1943-7889.0001006.B4015003.
[8] Kolakowski P.Damage identification by the static virtual distortion method[J].Engineering Transactions,2004,52(4):253-270.
[9] Kolakowski P,Zielinski T G,Holnicki-Szulc J,Damage identification by the dynamic virtual distortion method[J].Journal of Intelligent Material Systems and Structures,2004,15(6):479-493.
[10] 朱劲松,高嫦娥,肖汝诚.基于遗传算法的结构损伤识别及其程序设计[J].哈尔滨工业大学学报,2007,39(12):1952-1956.
[11] 张青霞,侯吉林,段忠东,等.基于子结构虚拟变形的损伤识别方法[J].工程力学.2013,30(12):174-182.
[12] 袁颖,林皋,黄民水,等.噪声影响下基于改进损伤识别因子和遗传算法的结构损伤识别[J].振动与冲击,2012,31(21):168-174.
[13] 陈秋莲,王成栋.基于Matlab遗传算法工具箱的优化计算实现[J].现代电子技术,2007,30(2):124-126.
[14] 李宏男,林世伟,伊廷华.基于静力虚拟变形法的结构损伤识别研究[J].建筑科学与工程学报,2016,33(5):1-6.
[15] 安永辉.基于振动信息的结构损伤识别的几种新方法[D].大连:大连理工大学土木工程学院,2013.
[16] An Y,Spencer B F,Ou J.A test method for damage diagnosis of suspension bridge suspender cables[J].Computer-Aided Civil and Infrastructure Engineering,2015,30(10):771-784