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Damage detection method based on operating deflection shape curvature extracted from dynamic response of a passing vehicle

机译:基于从过往车辆的动态响应中提取的工作偏转形状曲率的损伤检测方法

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This paper describes the development of a local damage detection method for beam and plate like structures based on operating deflection shape curvature extracted from dynamic response of a passing vehicle, which serves both as "exciter" and "message carrier". Based on the operating deflection shape curvature and the assumption that the intact structure is smooth and homogenous, a new damage detection algorithm called Global Filtering Method (GFM) is proposed. The new method using only information from damaged structures has been verified by both numerical simulations and experiments. Even if only using operating deflection shape curvatures at relatively few frequencies near the first natural frequency, not only local damage in beam could be detected in the numerical simulation, delamination as small as 8 mm in composite plate could also be detected in the laboratory. Compared with traditional methods using operating deflection shape data extracted from FRFs; it is time-saving, easier to implement and produces greater accuracy as it does not require many preinstalled sensors and solving eigenvector or singular value problems.
机译:本文描述了一种基于梁和板状结构的局部损伤检测方法的开发,该方法基于从行驶车辆的动态响应中提取的工作偏转形状曲率,该车辆既充当“激励器”又充当“消息载体”。基于工作挠度的形状曲率,并假设完好的结构是光滑均匀的,提出了一种新的损伤检测算法,称为全局滤波方法。通过数值模拟和实验都验证了仅使用来自受损结构的信息的新方法。即使仅在接近第一个固有频率的相对较少的频率上使用工作偏转形状曲率,在数值模拟中不仅可以检测到梁的局部损伤,而且还可以在实验室中检测到复合板中的小至8 mm的分层。与使用从FRF提取的操作偏转形状数据的传统方法进行比较;它省时,易于实施并且产生更高的精度,因为它不需要很多预装的传感器,也不需要解决特征向量或奇异值问题。

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