Year: 2025
Type: article
Abstract: In Structural Health Monitoring (SHM) and Non-Destructive Evaluation (NDE), Coda Wave Interferometry (CWI) is used to monitor temporal velocity changes in different media, caused by temperature, stress, cracks, or defects. However, the traditional data acquisition methods result in huge amounts of data, challenging storage and transmission, requiring more efficient data acquisition techniques. This study proposes a compressed-sensing-based approach using Fourier sensing strategies to reduce the amount of data collected by the acquisition system while maintaining high accuracy. The approach is benchmarked using the traditional time-stretching (TS) technique applied to a real data set collected from a lab experiment on concrete specimens. The results show that Fourier sensing can effectively reduce the amount of data to be collected without compromising accurate velocity variation (dv/v) detection. To evaluate the accuracy of our proposed method, the Root Mean Square Error (RMSE) in the estimated velocity is used as a performance metric.
DOI: 10.58286/31724
Authors: Jasmien Hassanin, Université Gustave Eiffel, Shilan Shaabani, Université Gustave Eiffel, Pierric Mora, Eduardo Pérez, Florian Römer, Université Gustave Eiffel, Odile Abraham
Language: English
Subfield: Mechanics of Materials
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Funder: European Commission
Award: G4065309685
OpenAlex ID: W4414336016
FWCI:
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