Work

Progression of artificial intelligence/machine learning in geotechnical engineering

Year: 2024

Type: article

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.

Source: Machine Learning and Data Science in Geotechnics

DOI: 10.1108/mlag-10-2024-0010

Author: Mohamed Shahin

Institution: Curtin University

Language: English

Topic: Geotechnical Engineering and Analysis

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4405843311

FWCI: 2.143

Cites: 6

Cited by: 8

Related to: 10