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Damage detection based on mode shapes of a girder bridge constructed from responses of a moving vehicle under impact excitation

机译:基于在碰撞激励下移动车辆的响应而构建的箱梁桥的模式形状的损伤检测

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The vibration mode shapes are often used to identify damage of bridges because the mode shapes are not only important modal properties but also sensitive to damage. However, the key issue is how to conveniently obtain the mode shapes of a bridge in service. Traditional methods invariably require installation of instruments on the bridge for collection of dynamic responses for constructing mode shapes, which are both costly and inconvenient. Therefore a method is developed to construct the mode shapes of simply supported bridges based on Hilbert Transform using only vehicle acceleration response for identification of the location of damage. Firstly, an algorithm is devised to construct the mode shapes by using the dynamic responses extracted from a moving vehicle under impact excitation. Then, based on these intermediate results, the coordinate modal assurance criterion in conjunction with suitable wavelets is used to identify the location of damage. Compared with the traditional methods, the proposed method uses only the information from the moving vehicle. Moreover, additional impact excitation on the vehicle helps to excite the bridge. This helps to improve the accuracy by overcoming the adverse effects of measurement noise and road surface roughness, which leads to high accuracy of damage detection. To verify the feasibility of the proposed method, some numerical studies have been carried out to investigate the effects of measurement noise, road surface roughness and multiple locations of damage on the accuracy of results.
机译:振动模态形状通常用于识别桥梁的损伤,因为模态形状不仅是重要的模态性质,而且对损伤敏感。但是,关键问题是如何方便地获得服务中的网桥的模式形状。传统方法总是要求在桥上安装仪器,以收集用于构造模式形状的动态响应,这既昂贵又不方便。因此,开发了一种方法,该方法基于希尔伯特变换,仅使用车辆加速度响应来识别损伤的位置,从而构造简单支撑的桥梁的振型。首先,设计了一种算法,通过利用在碰撞激励下从行驶中的车辆提取的动态响应来构造模式形状。然后,基于这些中间结果,将坐标模态保证标准与合适的小波结合起来,用于确定损坏的位置。与传统方法相比,提出的方法仅使用来自移动车辆的信息。此外,对车辆的附加冲击激励有助于激发桥梁。通过克服测量噪声和路面粗糙度的不利影响,这有助于提高精度,从而导致损坏检测的高精度。为了验证该方法的可行性,已经进行了一些数值研究,以研究测量噪声,路面粗糙度和损坏的多个位置对结果准确性的影响。

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