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

Krzysztof Mendrok; Ángel J Molina-Viedma; Elias López-Alba; Francisco A Díaz Garrido; Lukasz Pieczonka

doi:10.3390/s23020799

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

Sensors (Basel). 2023 Jan 10;23(2):799. doi: 10.3390/s23020799.

Authors

Krzysztof Mendrok¹, Ángel J Molina-Viedma², Elias López-Alba², Francisco A Díaz Garrido², Lukasz Pieczonka¹

Affiliations

¹ Department of Robotics and Mechatronics, AGH University of Science and Technology, Al. A. Mickiewicza 30, 30-059 Krakow, Poland.
² Departamento de Ingeniería Mecánica y Minera, Campus Las Lagunillas, Universidad de Jaén, 23071 Jaén, Spain.

Abstract

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.

Keywords: digital image correlation (DIC); dynamic testing; force identification; modal filter; structural dynamics.

MeSH terms

Algorithms*
Electrocardiography
Imaging, Three-Dimensional* / methods
Vibration

Grants and funding

This research was funded within the research funds of the Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology in Krakow.