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

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...

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Published inSensors (Basel, Switzerland) Vol. 23; no. 2; p. 799
Main Authors Mendrok, Krzysztof, Molina-Viedma, Ángel J, López-Alba, Elias, Díaz Garrido, Francisco A, Pieczonka, Lukasz
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 10.01.2023
MDPI
Subjects
Accuracy
Algorithms
Broadband
Damage detection
digital image correlation (DIC)
Digital imaging
dynamic testing
Electrocardiography
Experiments
force identification
Frame structures
Frequency response functions
High speed cameras
Identification
Imaging, Three-Dimensional - methods
Methods
modal filter
Signal processing
Strain gauges
structural dynamics
Structural health monitoring
Velocity
Vibration
modal filter
force identification
digital image correlation (DIC)
structural dynamics
dynamic testing
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Summary: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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ISSN:1424-8220
1424-8220
DOI:10.3390/s23020799