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Damage detection of shear buildings using frequency-change-ratio and model updating algorithm

机译:基于频率变化率和模型更新算法的剪切建筑物损伤检测

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As one of the most important parameters in structural health monitoring, structural frequency has many advantages, such as convenient to be measured, high precision, and insensitive to noise. In addition, frequency-change-ratio based method had been validated to have the ability to identify the damage occurrence and location. However, building a precise enough finite elemental model (FEM) for the test structure is still a huge challenge for this frequency-change-ratio based damage detection technique. In order to overcome this disadvantage and extend the application for frequencies in structural health monitoring area, a novel method was developed in this paper by combining the cross-model cross-mode (CMCM) model updating algorithm with the frequency-change-ratio based method. At first, assuming the physical parameters, including the element mass and stiffness, of the test structure had been known with a certain value, then an initial to-be-updated model with these assumed parameters was constructed according to the typical mass and stiffness distribution characteristic of shear buildings. After that, this to-be-updated model was updated using CMCM algorithm by combining with the measured frequencies of the actual structure when no damage was introduced. Thus, this updated model was regarded as a representation of the FEM model of actual structure, because their modal information were almost the same. Finally, based on this updated model, the frequency-change-ratio based method can be further proceed to realize the damage detection and localization. In order to verify the effectiveness of the developed method, a four-level shear building was numerically simulated and two actual shear structures, including a three-level shear model and an eight-story frame, were experimentally test in laboratory, and all the test results demonstrate that the developed method can identify the structural damage occurrence and location effectively, even only very limited modal frequencies of the test structure were provided.
机译:结构频率作为结构健康监测中最重要的参数之一,具有测量方便,精度高,对噪声不敏感等优点。此外,基于频变比的方法已被验证具有识别损坏发生和位置的能力。然而,对于这种基于频变比的损伤检测技术而言,为测试结构建立足够精确的有限元模型(FEM)仍然是巨大的挑战。为了克服这一缺点,扩展频率在结构健康监测领域的应用,将交叉模型交叉模式(CMCM)模型更新算法与基于频率变化率的方法相结合,提出了一种新的方法。 。首先,假设已知测试结构的物理参数(包括单元质量和刚度)具有一定值,然后根据典型的质量和刚度分布构造具有这些假定参数的初始待更新模型剪力建筑的特点。之后,在未引入破坏的情况下,结合实际结构的实测频率,使用CMCM算法对该模型进行了更新。因此,该更新模型被视为实际结构的FEM模型的表示,因为它们的模态信息几乎相同。最后,基于该更新模型,可以进一步进行基于频变比的方法,以实现损伤检测和定位。为了验证该方法的有效性,对四层剪力楼进行了数值模拟,并在实验室中对两个实际的剪力结构(包括三层剪力模型和八层框架)进行了实验测试,所有测试结果表明,即使只提供了非常有限的模态频率,所开发的方法也可以有效地识别结构损伤的发生和位置。

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