基于静力应变及遗传优化神经网络的城市立交桥梁损伤识别

吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (增刊2): 164-169.

基于静力应变及遗传优化神经网络的城市立交桥梁损伤识别

宫亚峰, 程永春, 焦峪波

吉林大学交通学院, 长春130022

收稿日期:2011-02-19 出版日期:2011-09-30 发布日期:2011-09-30
通讯作者: 程永春(1961),男,教授,博士生导师。研究方向:桥梁结构健康监测理论及应用。E-mail:chengyc@jlu.edu.cn E-mail:chengyc@jlu.edu.cn
作者简介:宫亚峰(1977),男,讲师,博士。研究方向:桥梁结构健康监测理论及应用。E-mail:gongyf@jlu.edu.cn
基金资助:
“863”国家高技术研究发展计划项目(2009AA11Z104);吉林大学“985工程”项目;吉林大学创新团队项目(2009-10);吉林大学科学前沿与交叉学科创新项目(201103145)

Damage identification of urban overpasses based on static strain data and neural networks optimized by genetic algorithm

GONG Ya-feng, CHENG Yong-chun, JIAO Yu-bo

College of Transportation, Jilin University, Changchun 130022, China

Received:2011-02-19 Online:2011-09-30 Published:2011-09-30

摘要/Abstract

摘要：

应用遗传算法优化神经网络的权值和阈值,选取静力应变变化率为神经网络输入参数,以结构的易损截面为研究对象,提出了用于城市立交桥梁的损伤识别方法。以长春市前进大街立交桥左辅道桥为数值模型,对该方法的损伤位置及损伤程度识别能力进行了研究。模拟结果表明:该方法能够对结构单位置及多位置损伤进行成功的定位;对测试样本的损伤程度识别误差在3%以内,且其内插能力要优于外推能力。

关键词: 桥梁工程, 损伤识别, 遗传优化神经网络, 城市立交桥, 应变变化率

Abstract:

A damage identification strategy of urban overpass bridges was proposed in this paper.The weight and bias values of neural networks were optimized by genetic algorithm,the static strain ratio was selected as the input variable of neural networks,while the vulnerable sections were considered as the research objects.The damage localization and severity identification ability was discussed based on the numerical simulation of the left auxiliary bridge of Qianjin Street overpass in Changchun.The simualtion results indicate that the proposed method can achieve the damage localization with single and multiple damage locations,the error of damage severity identification is within 3%.Moreover,the ability of interpolation is superior to extrapolation of the presented method.

Key words: bridge engineering, damage identification, neural networks optimized by genetic algorithm, urban overpass, strain ratio

中图分类号:

U441.4

宫亚峰, 程永春, 焦峪波. 基于静力应变及遗传优化神经网络的城市立交桥梁损伤识别[J]. 吉林大学学报(工学版), 2011, 41(增刊2): 164-169.

GONG Ya-feng, CHENG Yong-chun, JIAO Yu-bo. Damage identification of urban overpasses based on static strain data and neural networks optimized by genetic algorithm[J]. 吉林大学学报(工学版), 2011, 41(增刊2): 164-169.

参考文献

[1] 张启伟,范立础.利用动静力测量数据的桥梁结构损伤识别研究
[J].同济大学学报,1998,26(5):528- 531. Zhang Qi-wei,Fan Li-chu.Damage detection forb ridge structures based on dynamic and static measurementsp
[J].Journal of Tongji University,1998, 26(5):528-531.

[2] Patil D P,Maiti S K.Detection of multiple cracks using frequency measurements
[J].Journal of Engineering Fracture Mechanics,2003,70:1553-1572.

[3] Doebling S W,Farrar C R,Prime M B,et al.A review of damage identification methods that examine changes in dynamic properties
[J].Shock and Vibration Dig,1998,30(2):91-105.

[4] Cawley P,Adams R D.The location of defects ins tructures from measurements of natural frequencies
[J].Journal of Strain Analysis,1979,14(2):49-57.

[5] 赵玲,李爱群畅基于单元应变能变化率的结构损伤识别方法
[J].东南大学学报:自然科学版,2007,37 (6):1052-1056. Zhao Ling,Li Ai-qun.Structural damage identification method based on elemental strain energy changer atio
[J].Journal of Southeast University(Natural Science Edition),2007,37(6):1052-1056.

[6] Chandrashekhar M,Ganguli R.Damage assessment of structures with uncertainty by using mode-shape curvatures and fuzzy logic
[J].Journal of Sound and Vibration,2009,326:939–957.

[7] 陈晓强,朱宏平,王丹生.基于应变测试数据的梁结构损伤识别
[J].华中科技大学学报:城市科学版, 2008,25(4):207-210. Chen Xiao-qiang,Zhu Hong-ping,Wang Dan-sheng.D amage detection for beam structures based on straint est data
[J].Journal of HUST(Urban Science Edition),2008,25(4):207-210.

[8] 寇晓娜.基于挠度影响线的桥梁结构损伤识别方法初步研究
[D].重庆:重庆交通大学土木建筑学院, 2008. Kou Xiao-na.Preliminary research on damage identification of bridge structures based on influence line of displacement
[D].Chongqing:College of Architecture,Chongqing Transportation University,2008.

相关文章 15

[1]	惠迎新,毛明杰,刘海峰,张尚荣. 跨断层桥梁结构地震响应影响[J]. 吉林大学学报(工学版), 2018, 48(6): 1725-1734.
[2]	郑一峰, 赵群, 暴伟, 李壮, 于笑非. 大跨径刚构连续梁桥悬臂施工阶段抗风性能[J]. 吉林大学学报(工学版), 2018, 48(2): 466-472.
[3]	魏志刚, 刘寒冰, 时成林, 宫亚峰. 考虑桥面铺装作用的简支梁桥横向分布系数计算[J]. 吉林大学学报(工学版), 2018, 48(1): 105-112.
[4]	宫亚峰, 何钰龙, 谭国金, 申杨凡. 三跨独柱连续曲线梁桥抗倾覆稳定性分析[J]. 吉林大学学报(工学版), 2018, 48(1): 133-140.
[5]	魏志刚, 时成林, 刘寒冰, 张云龙. 车辆作用下钢-混凝土组合简支梁动力特性[J]. 吉林大学学报(工学版), 2017, 47(6): 1744-1752.
[6]	张云龙, 刘占莹, 吴春利, 王静. 钢-混凝土组合梁静动力响应[J]. 吉林大学学报(工学版), 2017, 47(3): 789-795.
[7]	赵云鹏, 于天来, 焦峪波, 宫亚峰, 宋刚. 异形桥梁损伤识别方法及参数影响分析[J]. 吉林大学学报(工学版), 2016, 46(6): 1858-1866.
[8]	刘寒冰, 时成林, 谭国金. 考虑剪切滑移效应的叠合梁有限元解[J]. 吉林大学学报(工学版), 2016, 46(3): 792-797.
[9]	谭国金, 刘子煜, 魏海斌, 王龙林. 偏心直线预应力筋简支梁自振频率计算方法[J]. 吉林大学学报(工学版), 2016, 46(3): 798-803.
[10]	曹珊珊, 雷俊卿. 考虑区间不确定性的钢结构疲劳寿命分析[J]. 吉林大学学报(工学版), 2016, 46(3): 804-810.
[11]	肖赟, 雷俊卿, 张坤, 李忠三. 多级变幅疲劳荷载下预应力混凝土梁刚度退化[J]. 吉林大学学报(工学版), 2013, 43(03): 665-670.
[12]	焦常科, 李爱群, 伍小平. 大跨双层斜拉桥多点激励地震响应[J]. , 2012, 42(04): 910-917.
[13]	辛大波, 王亮, 段忠东, 欧进萍, 李惠, 李忠华. 风雨联合作用下的桥梁主梁静力特性[J]. 吉林大学学报(工学版), 2011, 41(增刊2): 174-179.
[14]	谭国金, 王龙林, 程永春. 基于灰色系统理论的寒冷地区斜拉桥索力状态预测方法[J]. 吉林大学学报(工学版), 2011, 41(增刊2): 170-173.
[15]	刘寒冰, 郑继光, 邹品德. 叠合式钢筋混凝土圆截面短柱偏心受压承载力计算[J]. 吉林大学学报(工学版), 2011, 41(增刊2): 159-163.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed