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A damage identification method for connections of adjacent box-beam bridges using vehicle-bridge interaction analysis and model updating

机译：使用车桥交互分析和模型更新的相邻箱梁桥连接的损伤识别方法

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摘要

This paper presents a method to locate and quantitatively evaluate the hidden damage in adjacent box-beam connection (ABBC) of precast prestressed concrete (PC) box-beam bridges using the vehicle-bridge interaction analysis and the model updating method. To assess the defects in ABBCs, damage indices are defined based on the cracking height and the residual bending stiffness. The coherence function of the response spectrum (CFRS) indices are calculated for all ABBCs, and the objective function is constructed using the CFRS index and frequency residual vectors. Through a numerical study, this paper shows that the proposed identification method is relatively insensitive to factors such as vehicle speed, passing path, vehicle type, road roughness levels, bridge boundary conditions and their uncertainties, shows that various cases with different damage locations and severities can accurately be evaluated. The proposed method is also verified by the field measurements (before and after bridge repair). The identified damage indices before repair show that the total cracking state of ABBCs is in good agreement with the in-situ inspection results. Furthermore, the evaluation results after repair indicate that the proposed method can correctly identify the current damage of the bridge and is insensitive to the vehicle speed and passing path. The comparison of damage indices before and after repair proves that the ABBCs are in good condition due to effective strengthening. By both the numerical simulation and field evaluation test, it is demonstrated that the proposed method can effectively evaluate the damage conditions of ABBCs without interrupting the normal traffic.
机译：本文介绍了一种使用车桥交互分析和模型更新方法定位和定量评估预制预应力混凝土（PC）箱梁桥的相邻箱梁连接（ABBC）中的隐藏损坏。为了评估ABBC中的缺陷，基于裂缝高度和残余弯曲刚度来定义损坏指数。对所有ABBC计算响应频谱（CFRS）指数的相干功能，并且使用CFRS指数和频率残差向量构建目标函数。通过数值研究，本文表明，所提出的识别方法对车辆速度，路径，车辆类型，道路粗糙度水平，桥梁边界条件及其不确定性等因素相对不敏感，表明各种损坏位置和严重程度可以准确地评估。所提出的方法也通过现场测量（在桥梁修复之前和之后）验证。修复前的识别损坏指数表明，ABBC的总开裂状态与原位检验结果吻合良好。此外，修复后的评估结果表明所提出的方法可以正确地识别桥的电流损坏，并且对车速和路径不敏感。修复前后损坏指数的比较证明，由于有效的加强，ABBCS处于良好状态。通过数值模拟和现场评估测试，证明所提出的方法可以有效地评估ABBC的损坏条件而不中断正常流量。

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