A Multi-view DIC Approach to Extract Operating Mode Shapes of Structures

Srivastava, Vanshaj; Patil, Kiran Kumari; Baqersad, Javad; Zhang, James

doi:10.1007/978-3-319-74476-6_6

Cited by 6 publications

(2 citation statements)

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“…Similarly, although the principles of stereo or multi-view photogrammetry have matured in the last century, a plethora of photogrammetry methodologies have appeared recently for structural dynamics [1]. Methods can be broadly classified into three categories, depending on the tracking approach used: point-tracking (PT) [3,4,[15][16][17][18], digital image correlation (DIC) [3,5,6,[19][20][21][22][23][24][25][26][27], and target-less approaches. Stereo Photogrammetry principles have been recently adopted for achieving 3D vibration measures combining a single high-speed camera with a simpler mass-market still camera [28], whereas the pros and cons of a multi-view approach have been recently discussed in [29].…”

Section: Introductionmentioning

confidence: 99%

Towards phase-based defect detection: A feasibility study in vibrating panels

Cosco

Cuenca

Desmet

et al. 2022

Journal of Sound and Vibration

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Section: Introductionmentioning

confidence: 99%

Towards phase-based defect detection: A feasibility study in vibrating panels

Cosco

Cuenca

Desmet

et al. 2022

Journal of Sound and Vibration

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“…With the advances in optical techniques, researchers have started to use digital image correlation (DIC) and photogrammetry for structural health monitoring 20 and nonintrusive vibration measurements 21 for mechanical components. [22][23][24][25][26][27][28][29][30][31][32][33][34] The optical techniques have also been used for full-field deformations in the biomechanical field. 35,36 Evans and Holt 14 used an optical technique to study mechanical properties of human skin and validate finite element results.…”

Section: Introductionmentioning

confidence: 99%

Vibration analysis of healthy skin: toward a noninvasive skin diagnosis methodology

et al. 2019

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Vibration analysis of healthy skin: toward a noninvasive skin diagnosis methodology,"Abstract. Several noninvasive imaging techniques have been developed to monitor the health of skin and enhance the diagnosis of skin diseases. Among them, skin elastography is a popular technique used to measure the elasticity of the skin. A change in the elasticity of the skin can influence its natural frequencies and mode shapes. We propose a technique to use the resonant frequencies and mode shapes of the skin to monitor its health. Our study demonstrates how the resonant frequencies and mode shapes of skin can be obtained using numerical and experimental analysis. In our study, natural frequencies and mode shapes are obtained via two methods: (1) finite element analysis: an eigensolution is performed on a finite element model of normal skin, including stratum corneum, epidermis, dermis, and subcutaneous layers and (2) digital image correlation (DIC): several in-vivo measurements have been performed using DIC. The experimental results show a correlation between the DIC and FE results suggesting a noninvasive method to obtain vibration properties of the skin. This method can be further examined to be eventually used as a method to differentiate healthy skin from diseased skin. Prevention, early diagnosis, and treatment are critical in helping to reduce the incidence, morbidity, and mortality associated with skin cancer; thus, making the current study significant and important in the field of skin biomechanics. © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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