Rock Mechanics Letters

Topical Collection Information

The integration of Artificial Intelligence (AI) in rock mechanics represents a transformative shift in addressing complex geotechnical challenges. As the demand for more effective, accurate, and sustainable methods in rock engineering grows, AI offers distinct possibilities to enhance the understanding and control of rock behavior, stability, and resource optimization. This unique edition will explore the application of AI in various facets of rock mechanics, especially emphasizing the promise of machine learning, deep learning, and other data-oriented strategies to address major challenges in the field.

This special issue seeks to offer important perspectives on the future trajectory of the field by consolidating prominent studies on AI applications in rock mechanics. It aims to provide a platform for exchanging innovative techniques, enhancing theoretical insights, and promoting the creation of AI-driven solutions that could transform rock engineering methods. In the end, the special issue aims to enhance the expanding knowledge base on AI in geotechnical engineering, promoting additional research and cooperation in this developing field of study.

Guest Editors

Yewuhalashet Fissha

Mining Engineering, Aksum University, Axum, Ethiopia

E-Mai: [email protected]

Shahab Hosseini

University Tarbiat Modares University

Email: [email protected]

Hajime Ikeda

University Asahikawa National Technical College

Email: [email protected]

N. Rao Cheepurupalli

University Aksum University

Email: [email protected]