Future of machine learning in geotechnics
KK Phoon, W Zhang - … : Assessment and Management of Risk for …, 2023 - Taylor & Francis
Machine learning (ML) is widely used in many industries, resulting in recent interests to
explore ML in geotechnical engineering. Past review papers focus mainly on ML algorithms …
explore ML in geotechnical engineering. Past review papers focus mainly on ML algorithms …
What geotechnical engineers want to know about reliability
KK Phoon - ASCE-ASME Journal of Risk and Uncertainty in …, 2023 - ascelibrary.org
The purpose of this paper is to address the “what,”“why,” and “how” questions posed by
engineers who are not familiar with geotechnical reliability and have not kept abreast of …
engineers who are not familiar with geotechnical reliability and have not kept abreast of …
A hierarchical Bayesian similarity measure for geotechnical site retrieval
Geotechnical site retrieval refers to the quantitative identification and extraction of sites
similar to a given target site from predocumented generic sites in a database. This is known …
similar to a given target site from predocumented generic sites in a database. This is known …
A spectral algorithm for quasi-regional geotechnical site clustering
Geotechnical site clustering refers to identifying (or learning) groups in a site-labelled
soil/rock database based on inter-site similarity. It is common to cluster sites in a “region” in …
soil/rock database based on inter-site similarity. It is common to cluster sites in a “region” in …
Data-driven development of three-dimensional subsurface models from sparse measurements using Bayesian compressive sampling: A benchmarking study
With the rapid development of computing and digital technologies recently, three-
dimensional (3D) subsurface models for accurate site characterization have received …
dimensional (3D) subsurface models for accurate site characterization have received …
Time capsule for geotechnical risk and reliability
This paper is motivated by the Time Capsule Project (TCP) of the International Society for
Soil Mechanics and Geotechnical Engineering (ISSMGE). The historical developments of …
Soil Mechanics and Geotechnical Engineering (ISSMGE). The historical developments of …
[HTML][HTML] Quasi-site-specific soil property prediction using a cluster-based hierarchical Bayesian model
One of the important goals in geotechnical engineering is to learn the correlation
relationships between different soil properties in order to make predictions for a new site of …
relationships between different soil properties in order to make predictions for a new site of …
Comparison of data-driven site characterization methods through benchmarking: Methodological and application aspects
Site characterization is one of the most crucial steps for decision making in geotechnical
engineering and to the fullest extent possible should be conducted based on objective data …
engineering and to the fullest extent possible should be conducted based on objective data …
Data-driven subsurface modelling using a Markov random field model
This paper presents a method of subsurface modelling based on a Markov random field
(MRF) model called Potts model. Potts model is an undirected graphical model and has …
(MRF) model called Potts model. Potts model is an undirected graphical model and has …