Extraction of the structural mode shapes utilizing image processing method and data fusion

Amin Havaran; Mussa Mahmoudi; Reza Ebrahimpour

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Extraction of the structural mode shapes utilizing image processing method and data fusion

机译：利用图像处理方法和数据融合提取结构模式形状

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Dynamic properties of structures, such as natural frequency, mode shapes, and damping ratios, play a decisive role in the structural behavior against dynamic loads such as earthquakes. One of the utilizations of these properties is the determination of the earthquake forces imposed on structures based on the design spectra. Other applications of these features could be utilized to update the finite element model, detect damage in structures, and long-term health-monitoring of the structures. So, accuracy and reducing the cost of evaluating these properties would have a significant role in increasing the efficiency and the consequences of the useful life of the structures. Image processing is one of the methods for determination of dynamic properties of structures. The aim of this article is presenting a data fusion method to improve the accuracy of extraction of the mode shapes by image processing. For this purpose, a cantilever aluminum beam and a Three-story frame with additional mass have been considered, then their vibration was recorded utilizing the image processing method. To extract dynamic properties of structure, peak survey method was used. The proposed average method in signal level and Improved Distance Evaluation (IDE) in feature level were utilized to improve the accuracy of obtained mode shapes. The accuracy of the novel technique was investigated by comparing the seismic properties to the results from the accelerometer sensors and the finite element method. The results show that this method could enhance the accuracy of the image processing method for remote sensing.

机译：结构的动态特性，例如固有频率，模式形状和阻尼比率，在对抗动态负荷的结构行为中起着决定性作用。这些特性的一个利用是基于设计光谱确定对结构施加的地震力。这些特征的其他应用可以用于更新有限元模型，检测结构损坏，以及结构的长期健康监测。因此，准确性和降低评估这些性质的成本在提高结构的使用寿命的效率和后果方面具有重要作用。图像处理是用于确定结构动态性质的方法之一。本文的目的是提高数据融合方法，以通过图像处理提高模式形状的提取精度。为此目的，已经考虑了悬臂铝梁和具有额外质量的三层框架，然后利用图像处理方法记录它们的振动。为了提取结构的动态特性，使用峰值测量方法。利用特征级别的信号电平和改进距离评估（IDE）的所提出的平均方法来提高所获得的模式形状的准确性。通过将地震性能与来自加速度计传感器和有限元方法的结果进行比较来研究新技术的准确性。结果表明，该方法可以提高遥感图像处理方法的准确性。

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来源
《Mechanical systems and signal processing》 |2021年第4期|107380.1-107380.23|共23页
作者
Amin Havaran; Mussa Mahmoudi; Reza Ebrahimpour;
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作者单位

Faculty of Civil Engineering Shahid Rajaie Teacher Training University Tehran Iran;

Faculty of Civil Engineering Shahid Rajaie Teacher Training University Tehran Iran;

Faculty of Computer Engineering Shahid Rajaie Teacher Training University Tehran Iran;

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正文语种 eng
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关键词
Data fusion; Feature fusion; Image processing; Dynamic properties; Natural frequency; Mode shape;

机译：数据融合;特征融合;图像处理;动态属性;自然频率;模式形状;

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Extraction of the structural mode shapes utilizing image processing method and data fusion

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