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 …

[HTML][HTML] Unpacking data-centric geotechnics

KK Phoon, J Ching, Z Cao - Underground space, 2022 - Elsevier
The purpose of this paper (presented online as a keynote lecture at the 25th Annual
Indonesian Geotechnical Conference on 10 Nov 2021) is to broadly conceptualize the …

Constructing site-specific multivariate probability distribution model using Bayesian machine learning

J Ching, KK Phoon - Journal of Engineering Mechanics, 2019 - ascelibrary.org
This study proposes a novel data-driven Bayesian machine learning method for constructing
site-specific multivariate probability distribution models in geotechnical engineering. There …

The story of statistics in geotechnical engineering

KK Phoon - Georisk: Assessment and Management of Risk for …, 2020 - Taylor & Francis
The story of statistics in geotechnical engineering can be traced to Lumb's classical
Canadian Geotechnical Journal paper on “The Variability of Natural Soils” published in …

Wetland shear strength with emphasis on the impact of nutrients, sediments, and sea level rise

NH Jafari, BD Harris, JA Cadigan, JW Day… - Estuarine, Coastal and …, 2019 - Elsevier
This paper presents a comprehensive review of shear strength measurements in wetland
soils, which can be used to make inferences of the influence of nutrients and sediments on …

A hierarchical Bayesian similarity measure for geotechnical site retrieval

A Sharma, J Ching, KK Phoon - Journal of Engineering Mechanics, 2022 - ascelibrary.org
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 …

Constructing a site-specific multivariate probability distribution using sparse, incomplete, and spatially variable (MUSIC-X) data

J Ching, KK Phoon - Journal of Engineering Mechanics, 2020 - ascelibrary.org
It is important to be able to construct a site-specific multivariate probability density function
(PDF) of soil parameters based on limited and incomplete site-specific investigation data …

Transformations and correlations among some clay parameters—the global database

J Ching, KK Phoon - Canadian Geotechnical Journal, 2014 - cdnsciencepub.com
This study compiles a large database of 10 clay parameters (labeled as CLAY/10/7490) from
251 studies, covering clay data from 30 regions or countries worldwide. Hence, the range of …

Correlations for undrained shear strength of Finnish soft clays

M D'Ignazio, KK Phoon, SA Tan… - Canadian …, 2016 - cdnsciencepub.com
The study focuses on the derivation of transformation models for undrained shear strength
(su) of Finnish soft sensitive clays. Specific correlation equations for su of Finnish clays are …

[PDF][PDF] Managing risk in geotechnical engineering–from data to digitalization

KK Phoon, J Ching, Y Wang - Proc., 7th Int. Symp. on …, 2019 - rpsonline.com.sg
If you scan a page from a soil report, this is called digitization. If you deploy digital
technologies, both software such as building information modeling and machine learning …