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.

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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
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article

Progression of artificial intelligence/machine learning in geotechnical engineering

Mohamed A. Shahin
3 citations
Machine Learning and Data Science in Geotechnics
Drilling and Well Engineering
1.01
article

Progression of artificial intelligence/machine learning in geotechnical engineering

Mohamed A. Shahin
article en
3 citations

Abstract

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.

Machine Learning and Data Science in GeotechnicsVol. 1(1)
Curtin University (AU)
Industry, innovation and infrastructure
Openalex Percentile: Top 23%
Drilling and Well Engineering
1.01
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