Challenges in Geotechnical and Rock Engineering presents advanced level books which focus on state of the art methods for handling problems across geotechnical engineering. Typical books are in include measuring and understanding material or structural behaviours, handling special environmental conditions, performing complex numerical simulation, design and construction for novel structures, life cycle and risk/reliability informed management, data-driven algorithms and AI-based decision making, resilience engineering, addressing climate change and sustainability, and digital twin and smart infrastructure.
Edited
By Chong Tang, Kok-Kwang Phoon
December 20, 2024
Databases for Data-Centric Geotechnics forms a definitive reference and guide to databases in geotechnical and rock engineering, to enhance decision-making in geotechnical practice using data-driven methods. This second volume pertains to geotechnical structures. The opening chapter presents a ...
Edited
By Kok-Kwang Phoon, Chong Tang
December 20, 2024
Databases for Data-Centric Geotechnics forms a definitive reference and guide to databases in geotechnical and rock engineering, to enhance decision-making in geotechnical practice using data-driven methods. This first volume pertains to site characterization. The opening chapter presents an ...
Edited
By Kok-Kwang Phoon, Chong Tang
December 20, 2024
Databases for Data-Centric Geotechnics forms a definitive reference and guide to databases in geotechnical and rock engineering, to enhance decision-making in geotechnical practice using data-driven methods. The first volume pertains to site characterization. The opening chapter presents a deep ...
By Luqi Wang, Wengang Zhang
December 19, 2024
To prevent the collapse of dangerous rock masses on steep rocky reservoir banks which can cause casualties and property loss, it is essential to design and conduct practical experiments to quantify the evolution processes of the reservoir banks and control such dangerous rock masses. Using the ...
By Jianye Ching
August 07, 2024
Bayesian data analysis and modelling linked with machine learning offers a new tool for handling geotechnical data. This book presents recent advancements made by the author in the area of probabilistic geotechnical site characterization. Two types of correlation play central roles in geotechnical ...
Edited
By Kok-Kwang Phoon, Takayuki Shuku, Jianye Ching
December 11, 2023
Uncertainty, Modeling, and Decision Making in Geotechnics shows how uncertainty quantification and numerical modeling can complement each other to enhance decision-making in geotechnical practice, filling a critical gap in guiding practitioners to address uncertainties directly. The book helps ...
By Chong Tang, Kok-Kwang Phoon
September 30, 2022
Model Uncertainties in Foundation Design is unique in the compilation of the largest and the most diverse load test databases to date, covering many foundation types (shallow foundations, spudcans, driven piles, drilled shafts, rock sockets and helical piles) and a wide range of ground conditions (...