A multi-view optical technique to extract the operating deflection shapes of a full vehicle using digital image correlation

Srivastava, Vanshaj; Baqersad, Javad

doi:10.1016/j.tws.2019.106426

Cited by 17 publications

(5 citation statements)

References 23 publications

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“…One way to overcome this is to use a multi-view DIC system, where one or more (stereo) camera setups are installed around the sample to provide additional viewing angles ( Chen et al., 2013 ; Patil et al., 2017 ; Janeliukstis and Chen, 2021 ). For 360° DIC analysis, it is also possible to position several cameras in a circle around the sample and then combine two adjacent cameras for 3D-DIC analysis and merge the individual resulting surfaces ( Solav et al., 2018 ; Srivastava and Baqersad, 2019 ; Genovese et al., 2021 ; Li et al., 2023 ). Another possibility would be to rotate the cameras around the sample ( Genovese et al., 2016 ).…”

Section: Digital Image Correlation: Basics and Proceduresmentioning

confidence: 99%

Digital image correlation techniques for motion analysis and biomechanical characterization of plants

Mylo,

Poppinga

2024

Front. Plant Sci.

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Temporally and spatially complex 3D deformation processes appear in plants in a variety of ways and are difficult to quantify in detail by classical cinematographic methods. Furthermore, many biomechanical test methods, e.g. regarding compression or tension, result in quasi-2D deformations of the tested structure, which are very time-consuming to analyze manually regarding strain fields. In materials testing, the contact-free optical 2D- or 3D-digital image correlation method (2D/3D-DIC) is common practice for similar tasks, but is still rather seldom used in the fundamental biological sciences. The present review aims to highlight the possibilities of 2D/3D-DIC for the plant sciences. The equipment, software, and preparative prerequisites are introduced in detail and advantages and disadvantages are discussed. In addition to the analysis of wood and trees, where DIC has been used since the 1990s, this is demonstrated by numerous recent approaches in the contexts of parasite-host attachment, cactus joint biomechanics, fruit peel impact resistance, and slow as well as fast movement phenomena in cones and traps of carnivorous plants. Despite some technical and preparative efforts, DIC is a very powerful tool for full-field 2D/3D displacement and strain analyses of plant structures, which is suitable for numerous in-depth research questions in the fields of plant biomechanics and morphogenesis.

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Section: Digital Image Correlation: Basics and Proceduresmentioning

confidence: 99%

Digital image correlation techniques for motion analysis and biomechanical characterization of plants

Mylo,

Poppinga

2024

Front. Plant Sci.

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“…So far, 360° DIC has been used to measure displacements/strains of biological samples of animals or humans in vitro (e.g., the mentioned publications by Genovese et al) and in vivo [ 33 , 36 , 51 ], technical materials [ 49 , 50 , 60 ] and, as the only plant example, a compression test of a timber column [ 40 ]. Non-circular multi-view DIC methods are predominantly used for measuring larger scale engineering structures [ 34 , 37 , 38 , 61 , 62 , 63 ]. To the best of our knowledge, multi-view DIC has neither been tested to measure self-actuated movements of plants, nor with the aim to transfer natural structures to technical solutions.…”

Section: Introductionmentioning

confidence: 99%

Stereo Camera Setup for 360° Digital Image Correlation to Reveal Smart Structures of Hakea Fruits

Fischer,

Mylo,

Lorenz

et al. 2024

Biomimetics

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About forty years after its first application, digital image correlation (DIC) has become an established method for measuring surface displacements and deformations of objects under stress. To date, DIC has been used in a variety of in vitro and in vivo studies to biomechanically characterise biological samples in order to reveal biomimetic principles. However, when surfaces of samples strongly deform or twist, they cannot be thoroughly traced. To overcome this challenge, different DIC setups have been developed to provide additional sensor perspectives and, thus, capture larger parts of an object’s surface. Herein, we discuss current solutions for this multi-perspective DIC, and we present our own approach to a 360° DIC system based on a single stereo-camera setup. Using this setup, we are able to characterise the desiccation-driven opening mechanism of two woody Hakea fruits over their entire surfaces. Both the breaking mechanism and the actuation of the two valves in predominantly dead plant material are models for smart materials. Based on these results, an evaluation of the setup for 360° DIC regarding its use in deducing biomimetic principles is given. Furthermore, we propose a way to improve and apply the method for future measurements.

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“…Many of them exploit its high spatial resolution to determine operational deflection shapes at specific frequencies. It has been employed to study nonlinear deformations [ 7 ], for highly curved geometries using multi-view systems [ 8 , 9 ], for full-field strain prediction [ 10 ] or to reveal subtle motion in combination with phase-based motion magnification [ 11 , 12 ]. High-speed DIC has also been successfully employed for full modal identification, including natural frequencies and damping ratios [ 13 , 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Force Identification Based on Response Signals Captured with High-Speed Three-Dimensional Digital Image Correlation

Mendrok

Molina-Viedma

López‐Alba

et al. 2023

Sensors

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Structural Health Monitoring (SHM) systems allow three types of diagnostic tasks to be performed, namely damage identification, loads monitoring, and damage prognosis. Only if all three tasks are correctly fulfilled can the useful remaining life of a structure be estimated credibly. This paper deals with the second task and aimed to extend state-of-the-art in load identification, by demonstrating that it is feasible to achieve it through the analysis of response signals captured with high-speed three-dimensional Digital Image Correlation (HS 3D-DIC). The efficacy of the proposed procedure is demonstrated experimentally on a frame structure under broadband vibration excitation. Full-field vibration displacement signals are captured with the use of two high-speed cameras and processed with 3D-DIC. Loads are identified with two different algorithms based on inverting the Frequency Response Function (FRF) matrix and modal filtration (MF). The paper discusses both methods providing their theoretical background and experimental performance.

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A multi-view optical technique to extract the operating deflection shapes of a full vehicle using digital image correlation

Cited by 17 publications

References 23 publications

Digital image correlation techniques for motion analysis and biomechanical characterization of plants

Digital image correlation techniques for motion analysis and biomechanical characterization of plants

Stereo Camera Setup for 360° Digital Image Correlation to Reveal Smart Structures of Hakea Fruits

Force Identification Based on Response Signals Captured with High-Speed Three-Dimensional Digital Image Correlation

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