Characterizing Microcracks in Carbonate Rock Subsurfaces in Tunisia Using Ultrasonic Velocity Variations

Author:

Abdelhedi Mohamed1,Abbes Chedly1

Affiliation:

1. Faculty of sciences of Sfax

Abstract

Abstract The recent, catastrophic earthquake that struck Turkey and surrounding regions in February 2023 has emphasized the need for an accurate and efficient method for identifying subsurface microfractures. These cracks, which are not visible to the naked eye, pose a significant threat to human safety. To tackle this issue, this study explores the use of ultrasonic waves for detecting and characterizing microfractures in carbonate rock subsurfaces in Tunisia. The study involves collecting carbonate rock samples from subsurface formations in Tunisia and analyzing their ultrasonic wave velocity and velocity variations under uniaxial compressive stress in the laboratory. Our results show that ultrasonic methods are a reliable and effective means of detecting microfractures in subsurface materials, even in comparison to other seismic methods. These findings have significant implications for subsurface exploration and the protection of critical structures and highlight the potential of ultrasonic methods for characterizing microfractures in carbonate rock subsurfaces. This study underscores the importance of continued research in this area and highlights the urgency of developing effective methods for detecting subsurface cracks to ensure the safety of communities in seismically active regions.

Publisher

Research Square Platform LLC

Reference22 articles.

1. Study of physical and mechanical properties of carbonate rocks and their applications on georesources exploration in Tunisia;Abdelhedi M;Carbonates and Evaporites,2021

2. Abdelhedi M, Abbes C (2022) Preliminary Artificial Neural Network Modeling Predicting Uniaxial Compressive Strength Within Carbonate Rocks. In 2nd International Conference on Advances in Rock Mechanics-TuniRock 2022. OnePetro.

3. Ultrasonic velocity as a tool for mechanical and physical parameters prediction within carbonate rocks;Abdelhedi M;Geomechanics and Engineering,2017

4. Abdelhedi M, Jabbar R, Abbes C (2023) Exploration of carbonate aggregates in road construction using ultrasonic and artificial intelligence approaches. In 2nd International Conference on Civil Infrastructure and Construction 2023. arXiv preprint arXiv:2302.05884.

5. Ultrasonic velocity as a tool for geotechnical parameters prediction within carbonate rocks aggregates;Abdelhedi M;Arabian Journal of Geosciences,2020

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