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Extraction of contact-point response in indirect bridge health monitoring using an input estimation approach
Journal of Civil Structural Health Monitoring ( IF 4.4 ) Pub Date : 2020-07-03 , DOI: 10.1007/s13349-020-00418-z
Rajdip Nayek , Sriram Narasimhan

Identification of bridge dynamic properties from moving vehicle responses presents several practical benefits. However, a problem that arises when working with vehicle responses for indirect bridge health monitoring is that the bridge dynamics may get low-pass filtered by the vehicle suspension dynamics, rendering the identification of higher bridge modes difficult. Instead, the contact-point (CP) response—response at the contact point of the vehicle with the bridge surface—is a superior alternative to the vehicle response for identifying the bridge modal features. In the \(\text {CP}\) response, the vehicle dynamics is suppressed and the higher bridge modes are significantly enhanced, thus making it better suited for modal identification. Extracting the \(\text {CP}\) response from vehicle response is, however, not straightforward for a multiple degrees of freedom (MDoF) vehicle model. In this study, a novel methodology is proposed to extract \(\text {CP}\) acceleration from the measured vehicle acceleration using the knowledge of the \(\text {MDoF}\) vehicle dynamics. The \(\text {CP}\) acceleration is shown to act as a base-excited input to the test vehicle and is extracted via a joint input-state estimation procedure employing a Gaussian process latent force model (GPLFM). Numerical case studies are considered to assess the quality of the \(\text {CP}\) acceleration estimated with the proposed approach. It is found that the proposed method performs well and the extracted \(\text {CP}\) acceleration response is able to reduce the effect of vehicle dynamics and improve the prominence of higher bridge modes.



中文翻译:

使用输入估计方法提取间接桥梁健康监测中的接触点响应

从行驶中的车辆响应中识别桥梁动力特性具有许多实际好处。但是,在使用车辆响应进行间接桥梁健康状况监控时出现的问题是,桥梁动力学可能会因车辆悬架动力学而被低通滤波,从而难以识别更高的桥梁模式。取而代之的是,接触点(CP)响应(在车辆与桥梁表面的接触点处的响应)是用于识别桥梁模态特征的车辆响应的替代方案。在\(\ text {CP} \) 响应中,车辆动力学得到抑制,较高的桥梁模式得到了显着增强,因此使其更适合于模式识别。提取\(\ text {CP} \) 但是,对于多自由度(MDoF)车辆模型来说,来自车辆响应的响应并不是简单的。在这项研究中,一种新颖的方法,提出了提取物\(\ {文本CP} \) 加速度从使用的知识所测量的车辆加速度\(\ {文本多自由度} \) 车辆动态。的\(\ {文本CP} \) 的加速显示充当碱激输入到测试车辆和经由采用高斯过程潜力模型(GPLFM)的联合输入状态估计过程被提取。考虑了数字案例研究,以评估 用所提出的方法估算的\(\ text {CP} \)加速度的质量。发现所提方法性能良好,提取的\(\ text {CP} \) 加速响应能够减少车辆动力学的影响,并提高较高桥梁模式的突出性。

更新日期:2020-07-24
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