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 …

Time capsule for geotechnical risk and reliability

M Chwała, KK Phoon, M Uzielli, J Zhang… - … and management of …, 2023 - Taylor & Francis
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 …

Machine learning predicts and optimizes hydrothermal liquefaction of biomass

A Shafizadeh, H Shahbeig, MH Nadian, H Mobli… - Chemical Engineering …, 2022 - Elsevier
The hydrothermal liquefaction process has recently attracted more attention in biorefinery
design and implementation because of its capability of handling various wet biomass …

[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 …

Variance reduction function for a potential inclined slip line in a spatially variable soil

Y Tao, KK Phoon, H Sun, J Ching - Structural Safety, 2024 - Elsevier
Variance reduction function for a spatially variable soil property is an important factor that
affects the spatial average-based characteristic value, which in turn influences the design of …

Characterization of autocovariance parameters of detrended cone tip resistance from a global CPT database

J Ching, M Uzielli, KK Phoon, X Xu - Journal of Geotechnical and …, 2023 - ascelibrary.org
This paper compiles a cone penetration test (CPT) database, named Global-CPT/3/1196. It
contains three CPT parameters (cone tip resistance, sleeve friction, and porewater pressure) …

Prediction of uniaxial compressive strength using fully Bayesian Gaussian process regression (fB-GPR) with model class selection

T Zhao, C Song, S Lu, L Xu - Rock Mechanics and Rock Engineering, 2022 - Springer
In rock, mining, and/or tunneling engineering, determination of uniaxial compressive
strength (UCS) of rocks is an important and crucial task, which is often estimated from readily …

Data-driven development of three-dimensional subsurface models from sparse measurements using Bayesian compressive sampling: A benchmarking study

B Lyu, Y Hu, Y Wang - ASCE-ASME Journal of Risk and Uncertainty …, 2023 - ascelibrary.org
With the rapid development of computing and digital technologies recently, three-
dimensional (3D) subsurface models for accurate site characterization have received …

Comparison of data-driven site characterization methods through benchmarking: Methodological and application aspects

T Shuku, KK Phoon - ASCE-ASME Journal of Risk and Uncertainty …, 2023 - ascelibrary.org
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 …

Bayesian updating of model parameters using adaptive Gaussian process regression and particle filter

I Yoshida, T Nakamura, SK Au - Structural Safety, 2023 - Elsevier
Bayesian model updating provides a powerful framework for updating and uncertainty
quantification of models by making use of observations, following probability rules in the …