3D-DIC full field experimental modal analysis of a demo airplane by using low-speed cameras and a reconstruction approach

IF 8.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Mechanical Systems and Signal Processing Pub Date : 2025-01-28 DOI:10.1016/j.ymssp.2025.112387
Davide Mastrodicasa , Emilio Di Lorenzo , Simone Manzato , Bart Peeters , Patrick Guillaume
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Abstract

Experimental Modal Analysis (EMA) has developed into a major technology for the study of structural dynamics in the past several decades. Through Experimental Modal Analysis, complex structure phenomena in structural dynamics can be represented using decoupled modes consisting of natural frequency, modal damping, and mode shapes. The dynamic properties of structures can be extracted from both forced and ambient vibration tests. Whether the object is a wind turbine blade rotating at a certain speed, a bridge sustaining traffic, or an airplane under wind excitation, Modal Analysis can be applied to provide insightful solutions. These tests are mainly performed using point-wise sensors connected to the structure. A limited number of transducers might not be able to comprehensively measure the dynamic response, especially when dealing with large-size or very small structures, lightweight components, or rotating structures. This is one of the reasons behind the development of image processing techniques, like Digital Image Correlation (DIC), to perform modal analysis. A particular field of interest in using DIC for vibration analysis is in using cheap, light, and low-speed cameras to detect a structure’s high-frequency behavior. Nevertheless, except for a few highly specialized and controlled scenarios, the effectiveness of camera-based EMA is constrained by the relatively low sampling frequency of cameras in contrast to accelerometers, strain gauges, and laser Doppler vibrometers. In this paper, we introduce an innovative acquisition method designed to estimate modal parameters beyond the Nyquist–Shannon limit (i.e., half of the camera’s frame rate). This is achieved through the utilization of periodic excitation and signal reconstruction techniques. As a result, it becomes feasible to reconstruct a high-sampled displacement signal using low-speed cameras. The accuracy of the methodology is numerically investigated by using a simple MDOFs system as a proof of concept. Furthermore, an experimental validation on a simple airplane mock-up is presented. The displacements are obtained using a stereo camera setup and then computed by DIC. Finally, they are combined with the force signal to compute the structure’s FRFs for the modal parameter estimation. Furthermore, the DIC estimated modal parameters are validated by using accelerometers mounted on the test structure, and a full field validation of the corresponding numerical model is presented.
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利用低速相机和重建方法对某演示飞机进行3D-DIC全场试验模态分析
在过去的几十年里,实验模态分析(EMA)已经发展成为研究结构动力学的一项重要技术。通过实验模态分析,结构动力学中的复杂结构现象可以用由固有频率、模态阻尼和模态振型组成的解耦模态来表示。结构的动力特性可以从强迫和环境振动试验中提取出来。无论对象是以一定速度旋转的风力涡轮机叶片,维持交通的桥梁,还是受风激励的飞机,模态分析都可以提供深刻的解决方案。这些测试主要使用连接到结构上的点向传感器进行。有限数量的传感器可能无法全面测量动态响应,特别是在处理大尺寸或非常小的结构、轻质部件或旋转结构时。这是图像处理技术,如数字图像相关(DIC)的发展背后的原因之一,以执行模态分析。使用DIC进行振动分析的一个特别有趣的领域是使用廉价、轻便和低速的摄像机来检测结构的高频行为。然而,除了一些高度专业化和受控的场景外,基于相机的EMA的有效性受到与加速度计、应变计和激光多普勒测振仪相比,相机的采样频率相对较低的限制。在本文中,我们介绍了一种创新的采集方法,旨在估计超过Nyquist-Shannon极限(即相机帧率的一半)的模态参数。这是通过利用周期激励和信号重建技术来实现的。因此,利用低速摄像机重建高采样位移信号是可行的。通过使用一个简单的MDOFs系统作为概念证明,对该方法的准确性进行了数值研究。并在一个简单的飞机模型上进行了实验验证。位移是用立体摄像机获得的,然后用DIC计算。最后,结合力信号计算结构的频响函数,进行模态参数估计。利用安装在试验结构上的加速度计对DIC估计的模态参数进行了验证,并对相应的数值模型进行了现场验证。
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来源期刊
Mechanical Systems and Signal Processing
Mechanical Systems and Signal Processing 工程技术-工程:机械
CiteScore
14.80
自引率
13.10%
发文量
1183
审稿时长
5.4 months
期刊介绍: Journal Name: Mechanical Systems and Signal Processing (MSSP) Interdisciplinary Focus: Mechanical, Aerospace, and Civil Engineering Purpose:Reporting scientific advancements of the highest quality Arising from new techniques in sensing, instrumentation, signal processing, modelling, and control of dynamic systems
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