Comparative of conventional and alternative Digital Image Correlation techniques for 3D modal characterisation

Molina-Viedma, Ángel J.; Felipe-Sesé, Luis; López‐Alba, Elías; Díaz, Francisco

doi:10.1016/j.measurement.2019.107101

Cited by 14 publications

(4 citation statements)

References 35 publications

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“…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 ]. Hence, new applications have arisen from these methodologies with different purposes, like Finite Element (FE) model updating [ 16 , 17 ], Structural Health Monitoring (SHM) of wind turbine blades [ 18 ] or exploiting the dense measurement grid for damage location using modal filtration [ 19 ] and the mode shapes curvature [ 20 ].…”

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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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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“…This method is computationally intensive and time consuming. The second step is then to perform a modal identification using the selected method, which requires additional computational time [10,11]. The identified displacements are typically in the subpixel range, where noise dominates due to the low dynamic range, which poses a challenge for the modal identification, especially at higher modes [12].…”

Section: Introductionmentioning

confidence: 99%

Single-Pixel Optical-Flow-Based Experimental Modal Analysis

Tomac¹,

Slavič²,

Gorjup³

2023

Preprint

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“…In the last few years, two main directions have been described in the state-of-the-art for the development of non-invasive projected patterns: fringe patterns and laser speckle patterns. Fringe patterns have been combined with speckle patterns and a single camera for DIC in two dimensions and mechanical trials that required a low-frequency ratio of images [39,40]. The random granular effect in the laser speckle pattern has its origin in the high coherence of the light source that is projected to the sample and in the decorrelation when the sample moves in the out-of-plane direction.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Digital Image Correlation Based on Speckle Pattern Projection for Non-Invasive Vibrational Analysis

Janeiro

Fernández-López

Manguán

et al. 2022

Sensors

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Non-contact vibration measurements are relevant for non-invasively characterizing the mechanical behavior of structures. This paper presents a novel methodology for full-field vibrational analysis at high frequencies using the three-dimensional digital image correlation technique combined with the projection of a speckle pattern. The method includes stereo calibration and image processing routines for accurate three-dimensional data acquisition. Quantitative analysis allows the extraction of several deformation parameters, such as the cross-correlation coefficients, shape and intensity, as well as the out-of-plane displacement fields and mode shapes. The potential of the methodology is demonstrated on an Unmanned Aerial Vehicle wing made of composite material, followed by experimental validation with reference accelerometers. The results obtained with the projected three-dimensional digital image correlation show a percentage of error below 5% compared with the measures of accelerometers, achieving, therefore, high sensitivity to detect the dynamic modes in structures made of composite material.

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Comparative of conventional and alternative Digital Image Correlation techniques for 3D modal characterisation

Cited by 14 publications

References 35 publications

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

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

Single-Pixel Optical-Flow-Based Experimental Modal Analysis

Three-Dimensional Digital Image Correlation Based on Speckle Pattern Projection for Non-Invasive Vibrational Analysis

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