2020年 02期

Bridge Damage Identification Method Based on Structural Response Vectors and Support Vector Machine Algorithms


摘要(Abstract):

针对基于结构动静态响应的损伤识别方法研究不够深入、结构动态响应对噪声比较敏感,从而极大影响损伤识别效果的问题,提出一种基于结构响应向量(SRV)与支持向量机(SVM)的损伤识别方法,引入主成分分析(PCA)提高方法的抗噪性,并利用简支梁和实际桥梁模型验证方法的有效性。结果表明,基于结构动静态响应组成SRV的识别效果和计算效率更优,结合PCA可以提高方法的抗噪性,并且能在所需响应信息更精练的基础上对实际桥梁模型进行良好的损伤识别。

关键词(KeyWords): 损伤识别;结构响应向量;支持向量机;抗噪性能;简支钢梁;斜拉桥

基金项目(Foundation): 国家自然科学基金项目(11602087);; 广东省科技计划项目(2015B010131009)

作者(Author): 刘泽佳,金梦茹,周立成,涂成枫,汤立群,蒋震宇,刘逸平

DOI: 10.13349/j.cnki.jdxbn.2020.02.017

参考文献(References):

[1] 欧阳煜,徐超,杨万锋.基于静力挠度的梁结构损伤识别两阶段方法[J].力学季刊,2017,38(3):458-467.

[2] 吴加权,李红艳,叶飞,等.基于应变响应的预损伤钢筋混凝土梁损伤识别研究[J].实验力学,2018,33(2):299-306.

[3] GHADIMI S,KOUREHLI S S.Multiple crack identification in Euler beams using extreme learning machine[J].KSCE Journal of Civil Engineering,2017,21(1):389-396.

[4] 王名月,缪炳荣,李旭娟,等.基于转角模态和小波神经网络的连续梁损伤识别研究[J].力学季刊,2016,37(4):684-691.

[5] 李世龙,马立元,田海雷,等.基于不完备实测模态数据的结构损伤识别方法研究[J].振动与冲击,2015,34(3):196-203,228.

[6] 徐典,杨佑发,邓燕华.基于动静结合的桁架结构损伤识别研究[J].工业建筑,2011,41(7):21-25.

[7] 杨辰,王晓军,邱志平.基于动静测试的融合灵敏度结构损伤识别方法[J].应用力学学报,2013,30(5):669-673,799.

[8] TANG L Q,LUO X,LIU Z J,et al.Octonion structural response vector and potential structural damage identification method[J].International Journal of Damage Mechanics,2012,22(4):572-589.

[9] 项贻强,郏亚坤.基于小波总能量相对变化的结构损伤识别[J].振动与冲击,2017,36(14):38-44.

[10] LIU H B,SUN P Y,TAN G J,et al.Damage identification method for irregular continuous box girder bridge based on RBF neural network optimized by PSO[J].Applied Mechanics and Materials,2013,470:1034-1038.

[11] 谢祥辉.基于深度学习理论的桥梁损伤识别研究[D].成都:西南交通大学,2018.

[12] SATPAL S B,GUHA A,BANERJEE S.Damage identification in aluminum beams using support vector machine:numerical and experimental studies[J].Structural Control and Health Monitoring,2016,23(3):446-457.

[13] KOUREHLI S S.Structural damage diagnosis using incomplete static responses and LS-SVM[J].Inverse Problems in Science and Engineering,2016,25(3):418-433.

[14] GUO Q G,PAN H,LIN Z B,et al.Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection[J].KSCE Journal of Civil Engineering,2017,21(2):523-534.

[15] 孙艳丽,杨娜,张正涛,等.基于核主元分析和支持向量机的结构损伤识别研究[J].应用基础与工程科学学报,2018,26(4):888-900.

[16] POSENATO D,KRIPAKARAN P,INAUDI D,et al.Methodologies for model-free data interpretation of civil engineering structures[J].Computers and Structures,2010,88(7/8):467-482.