Bridge Damage Detection Based on the Moving-vehicle-induced Response and L1 Regularization

被引：0

作者：

He W.-Y. ^{[1
,2
]}

Wu J.-Y. ^{[1
]}

Ren W.-X. ^{[3
]}

机构：

[1] College of Civil Engineering, Hefei University of Technology, Hefei

[2] Anhui Engineering Laboratory for Infrastructural Safety Inspection and Monitoring, Hefei

[3] College of Civil and Transportation Engineering, Shenzhen University, Shenzhen

来源：

Zhongguo Gonglu Xuebao/China Journal of Highway and Transport | 2021年 / 34卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Bridge engineering; Damage detection; L[!sub]1[!/sub] regularization; Model updating; Moving load;

D O I：

10.19721/j.cnki.1001-7372.2021.04.005

中图分类号：

学科分类号：

摘要：

Structural damage detection is a typically ill-posed problem in which regularization methods are required. L1 regularization has been widely used in bridge health monitoring as it makes good use of the sparsity of structural damage. Such methods usually adopt changes in the frequencies and mode shapes for damage detection. However, the limitation on the frequency order number and the low precision of the mode shape significantly affect their effectiveness. In this paper, a structural damage detection method based on finite element model (FEM) updating and L1 regularization was proposed using the bridge response induced by a moving vehicle. First, numerical examples were conducted to compare the frequency and area changes of the moving-vehicle-induced displacement-time curve caused by local damage. The results indicate that the area change of the moving-vehicle-induced displacement-time curve is more suitable for damage detection. Second, a damage detection method based on FEM updating and L1 regularization was presented. The elemental stiffness reduction factors were taken as the parameters to be updated, and the objective function was formulated by the difference between the area of the moving-vehicle-induced displacement-time curve calculated by the FEM and measured in the field test. L1 regularization optimization was employed to solve the objective function and identify damages. Then, numerical examples of simply supported beams and continuous beams with various damage scenarios were used to verify the proposed method's effectiveness. In addition, the effects of the measurement noise, varying moving velocity, and uneven distribution of flexural rigidity on the damage detection results were investigated. Finally, the experimental model of a moving vehicle and a simply supported beam was set up in the laboratory for the moving load test. The results indicate that the proposed method can effectively identify the location and severity of a single damage occurrence. However, its effectiveness decreases with an increase in the damage number. © 2021, Editorial Department of China Journal of Highway and Transport. All right reserved.

引用

页码：61 / 70

页数：9

共 22 条

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