On the use of Machine Learning in Geotechnical Engineering
Ronald Brinkgreve (Seequent, TU Delft - Civil Engineering & Geosciences)
Ashraf Zekri (Seequent)
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Abstract
The use of Artificial Intelligence (AI) and Machine Learning (ML) have significantly increased over the last couple of years. ML is driven by the availability of data. Although geotechnical engineering is generally not among the first in picking up new technologies, there is a lot of data in our profession, and therefore, lots of opportunities to apply ML. In this article some examples are given of how ML can be used to facilitate and automate the geotechnical engineering workflow. Examples of soil identification, CPT interpretation, 3D soil stratification, parameter determination and surrogate modelling are given, and some other applications are mentioned.
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