Progression of artificial intelligence/machine learning in geotechnical engineering
Purpose This short review paper aims to examine the evolution of artificial intelligence (AI)/machine learning (ML) in the realm of geotechnical engineering. Design/methodology/approach This paper gives a brief overview of AI/ML technology and discusses its current trend and future directions in geotechnical engineering. Findings Despite limitations, the use of AI/ML techniques has several significant benefits that make them powerful and practical tools in the field of geotechnical engineering. Originality/value This paper explored the integration of AI/ML promising technology into geotechnical design and practice and highlighted its transformative impacts in terms of benefits, limitations and potential future directions.
Authors
- Mohamed A. Shahin (ORCID: https://orcid.org/0000-0002-7419-7980)
Institutions
- Curtin University (AU)
Publication Details
- Journal
- Machine Learning and Data Science in Geotechnics
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1108/mlag-10-2024-0010
- Citations
- 3
- Primary Topic
- Drilling and Well Engineering
- Type
- article
- Field-Weighted Citation Impact
- 1.01