Frequency domain triangulation for full-field 3D operating-deflection-shape identification

Abstract The use of high-speed camera systems in vibration measurements is typically limited to identifying motion, transversal to the optical axis, due to an inherent limitation of 2D imaging systems. Depth information, lost in the imaging process, can be recovered by using the well-established 3D DIC technique, but is still limited to a single face of the object, observed by the stereo pair. In this research a full-field 3D operating-deflection-shape measurement technique, based on frequency-domain triangulation of image-data, is presented. A mathematical model of frequency-domain perspective transformation of small harmonic motion is introduced. This model is used to relate multiview image data to spatial amplitude spectra of the observed displacement. Using the developed method, spatial small harmonic motion of arbitrary-shaped specimen can be identified in the frequency domain using only a single, moving high-speed camera, extending the field-of-view of the established image-based vibration measurement methods.

[1]  S. Xia,et al.  Diffraction Assisted Image Correlation: A Novel Method for Measuring Three-Dimensional Deformation using Two-Dimensional Digital Image Correlation , 2013 .

[2]  Javad Baqersad,et al.  A multi-view optical technique to obtain mode shapes of structures , 2018, Measurement.

[3]  Janko Slavič,et al.  The subpixel resolution of optical-flow-based modal analysis , 2017 .

[4]  David A. Ehrhardt,et al.  High-speed 3D digital image correlation vibration measurement: Recent advancements and noted limitations , 2017 .

[5]  Zhu Mao,et al.  Structural operating deflection shape estimation via a hybrid computer-vision algorithm , 2018, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[6]  John E. Mottershead,et al.  Basis-updating for data compression of displacement maps from dynamic DIC measurements , 2019, Mechanical Systems and Signal Processing.

[7]  Bing Pan,et al.  Full-frame, high-speed 3D shape and deformation measurements using stereo-digital image correlation and a single color high-speed camera , 2017 .

[8]  T. G. Ryall,et al.  DETERMINATION OF STRUCTURAL MODES OF VIBRATION USING DIGITAL PHOTOGRAMMETRY , 2002 .

[9]  D. Amodio,et al.  A 360-deg Digital Image Correlation system for materials testing , 2016 .

[10]  W. F. Ranson,et al.  Applications of digital-image-correlation techniques to experimental mechanics , 1985 .

[11]  Thomas Durand-Texte,et al.  Vibration measurement using a pseudo-stereo system, target tracking and vision methods , 2019, Mechanical Systems and Signal Processing.

[12]  T. C. Chu,et al.  Three-dimensional displacement measurements using digital image correlation and photogrammic analysis , 1990 .

[13]  Bing Pan,et al.  Digital image correlation for surface deformation measurement: historical developments, recent advances and future goals , 2018, Measurement Science and Technology.

[14]  Katia Genovese,et al.  Stereo-Digital Image Correlation (DIC) measurements with a single camera using a biprism , 2013 .

[15]  Christopher Niezrecki,et al.  Vibration-Based Damage Detection in Wind Turbine Blades using Phase-Based Motion Estimation and Motion Magnification , 2018, ArXiv.

[16]  Brian Schwarz,et al.  Measuring operating deflection shapes under non-stationary conditions , 2000 .

[17]  Charles R. Farrar,et al.  Spatiotemporal video‐domain high‐fidelity simulation and realistic visualization of full‐field dynamic responses of structures by a combination of high‐spatial‐resolution modal model and video motion manipulations , 2018, Structural Control and Health Monitoring.

[18]  E. Müller,et al.  Notes on the application of Electronic Speckle Pattern Interferometry , 1997 .

[19]  Daniel P. Rohe,et al.  Comparison of DIC and LDV for practical vibration and modal measurements , 2017 .

[20]  Peter F. Sturm,et al.  Triangulation , 1997, Comput. Vis. Image Underst..

[21]  Qianbing Zhang,et al.  Review of single-camera stereo-digital image correlation techniques for full-field 3D shape and deformation measurement , 2018 .

[22]  Nuno M. M. Maia,et al.  Modal analysis identification techniques , 2001, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[23]  Vincent Lepetit,et al.  Accurate Non-Iterative O(n) Solution to the PnP Problem , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[24]  Javad Baqersad,et al.  An optical-based technique to obtain operating deflection shapes of structures with complex geometries , 2019, Mechanical Systems and Signal Processing.

[25]  Charles Dorn,et al.  A framework for the identification of full-field structural dynamics using sequences of images in the presence of non-ideal operating conditions , 2018 .

[26]  Javad Baqersad,et al.  A Multi-View Digital Image Correlation for Extracting Mode Shapes of a Tire , 2017 .

[27]  Jean-José Orteu,et al.  Multiple-Camera Instrumentation of a Single Point Incremental Forming Process Pilot for Shape and 3D Displacement Measurements: Methodology and Results , 2011 .

[28]  Peter Avitabile,et al.  FRF Measurements and Mode Shapes Determined Using Image-based 3D Point-tracking , 2011 .

[29]  Bing Pan,et al.  Single-camera stereo-digital image correlation with a four-mirror adapter: optimized design and validation , 2016 .

[30]  D. M. Freeman,et al.  Statistics of subpixel registration algorithms based on spatiotemporal gradients or block matching , 1998 .

[31]  Mark H. Richardson,et al.  OPERATING DEFLECTION SHAPES FROM TIME VERSUS FREQUENCY DOMAIN MEASUREMENTS , 1997 .

[32]  Hubert W. Schreier,et al.  Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts,Theory and Applications , 2009 .

[33]  A. Waas,et al.  Three-dimensional digital image correlation technique using single high-speed camera for measuring large out-of-plane displacements at high framing rates. , 2010, Applied optics.

[34]  J. Mottershead,et al.  Frequency response functions of shape features from full-field vibration measurements using digital image correlation , 2012 .

[35]  R. Hartley Triangulation, Computer Vision and Image Understanding , 1997 .

[36]  Peter Avitabile,et al.  3D digital image correlation methods for full-field vibration measurement , 2011 .

[37]  J. Mixter Fast , 2012 .

[38]  Janko Slavič,et al.  Measuring full-field displacement spectral components using photographs taken with a DSLR camera via an analogue Fourier integral , 2018 .

[39]  P. Alam ‘T’ , 2021, Composites Engineering: An A–Z Guide.

[40]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[41]  Janko Slavič,et al.  High frequency modal identification on noisy high-speed camera data , 2018 .

[42]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[43]  C. Vest Holographic Interferometry , 1979 .

[44]  Bing Pan,et al.  Single-camera high-speed stereo-digital image correlation for full-field vibration measurement , 2017 .

[45]  T. G. Voevodkina,et al.  [Holographic interferometry]. , 1985, Laboratornoe delo.

[46]  Wei Tong,et al.  Fast, Robust and Accurate Digital Image Correlation Calculation Without Redundant Computations , 2013, Experimental Mechanics.

[47]  Ole Lekberg,et al.  Electronic speckle pattern interferometry , 1980 .

[48]  Chi-Hung Hwang,et al.  Camera calibration and 3D surface reconstruction for multi-camera semi-circular DIC system , 2013, Other Conferences.