Damage detection of truss bridge elements using an enhanced pseudo-local flexibility method

IF 3.6 2区 工程技术 Q1 ENGINEERING, CIVIL
Ting-Yu Hsu, Meng-Chen Lu, I-Tung Yang, Chul-Woo Kim, Kai-Chun Chang
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Abstract

Vibration-based structural health monitoring aims to not only detect the occurrence of the damage but also identify the location of damage. The pseudo-local flexibility method (PLFM) is a vibration-based approach that only requires the identified modal parameters of the structure to perform damage detection. Thus, the cost of constructing a finite-element model of the structure and the modeling error of the finite-element model can be circumvented. In addition, the PLFM is based on the flexibility matrix of the structure, which is practical, because only the first few modes are required to estimate the necessary flexibility matrix and only the first few modes can be identified accurately in real applications. However, the potential damage region that is identified using the PLFM is indicated by the location of the center of the applied virtual forces, but not the potential damage elements. Hence, in this study, an enhanced PLFM (EPLFM) is proposed to improve the resolution of damage localization in the conventional PLFM. The regional rigidity ratios obtained by the PLFM are distributed to each element based on the virtual strain energy corresponding to virtual forces. The damage locations indicated by the EPLFM are marked at each element, and hence, more specific damage locations can be identified by the elements with smaller elemental rigidity ratios. Herein, the present EPLFM was numerically and experimentally validated with a simply supported steel-truss bridge. In the numerical validation, a simplified two-dimensional finite-element model for the truss structure was constructed using SAP2000 software package, and seven damage scenarios and two setups of measurement degrees of freedom (DOF) were investigated. It is found that accurate damage localization of the 2D simply supported truss structure was achieved when both the vertical and horizontal DOFs of all nodes were measured and the virtual force configurations acting on both ends of each element were used. In the in-field experimental validation where the mode-truncation errors and measurement noises were unavoidably introduced, it was observed that the EPLFM could identify the full-cut vertical member at the mid-span or 5/8th span, even though the cut member was identified in a group with some adjacent un-damaged members.

Abstract Image

基于增强拟局部柔度法的桁架桥梁构件损伤检测
基于振动的结构健康监测不仅要检测损伤的发生,而且要识别损伤的位置。伪局部柔度法(PLFM)是一种基于振动的方法,它只需要识别出结构的模态参数就可以进行损伤检测。从而避免了构造结构有限元模型的成本和有限元模型的建模误差。此外,PLFM基于结构的柔度矩阵,这是实用的,因为只需要前几个模态来估计必要的柔度矩阵,并且在实际应用中只需要前几个模态就可以准确识别。然而,使用PLFM识别的潜在损伤区域是由施加的虚拟力的中心位置表示的,而不是潜在损伤单元的位置。因此,本研究提出了一种增强的PLFM (EPLFM),以提高传统PLFM的损伤定位分辨率。根据虚拟力对应的虚拟应变能,将PLFM得到的区域刚度比分配到各个单元。EPLFM显示的损伤位置在每个单元上都有标记,因此,更具体的损伤位置可以通过具有较小元素刚度比的单元来识别。在此基础上,本文采用简支钢桁架桥梁进行了数值和实验验证。在数值验证中,利用SAP2000软件包建立了桁架结构的简化二维有限元模型,研究了7种损伤场景和2种测量自由度设置。研究发现,测量所有节点的垂直和水平自由度,并采用作用于每个单元两端的虚拟力配置,可以实现二维简支桁架结构的精确损伤定位。在不可避免地引入模式截断误差和测量噪声的现场实验验证中,观察到EPLFM可以识别跨中或5/8跨上完全切割的垂直构件,即使切割的构件是在相邻的未损坏构件中识别出来的。
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来源期刊
Journal of Civil Structural Health Monitoring
Journal of Civil Structural Health Monitoring Engineering-Safety, Risk, Reliability and Quality
CiteScore
8.10
自引率
11.40%
发文量
105
期刊介绍: The Journal of Civil Structural Health Monitoring (JCSHM) publishes articles to advance the understanding and the application of health monitoring methods for the condition assessment and management of civil infrastructure systems. JCSHM serves as a focal point for sharing knowledge and experience in technologies impacting the discipline of Civionics and Civil Structural Health Monitoring, especially in terms of load capacity ratings and service life estimation.
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