Wan-Huan Zhou - Böcker

Geotechnical Aspects of Underground Construction in Soft Ground comprises a collection of 68 contributions, including 55 technical papers, 6 General Reports, 5 Keynotes, 1 Fujita Lecture, and 1 Bright Spark Lecture presented at the 11th International Symposium on Geotechnical Aspects of Underground Construction in Soft Ground (IS-Macau 2024), held in Macao SAR, China, on June 14-17, 2024.The symposium is the latest in a series that began in New Delhi in 1994 and was followed by symposia in London (1996), Tokyo (1999), Toulouse (2002), Amsterdam (2005), Shanghai (2008), Rome (2011), Seoul (2014), Sao Paulo (2017), and Cambridge (2022). This symposium was organized by the University of Macau, Civil Engineering Laboratory of Macau, and the Macau Association for Geotechnical Engineering under the auspices of TC204 of ISSMGE. The book includes contributions from more than 15 countries on the research, design, and construction of underground works in soft ground. The theme of IS-Macau 2024 is “Tunnelling and Underground Construction for Smart Cities”. The contributions cover the following topics:Basic properties and soil improvement in soft groundConstitutive and Numerical ModellingInnovative analysis and design in tunneling and underground constructionSmart monitoring and visualization technologies for tunneling and underground constructionSustainability and resilience of underground infrastructureField case studiesSimilar to previous editions, GEOTECHNICAL ASPECTS OF UNDERGROUND CONSTRUCTION IN SOFT GROUND serves as an invaluable resource offering insights into the contemporary methods of analyzing, designing, and executing tunnels and deep excavations within soft ground environments, crucial for the advancement of smart cities. The book is particularly aimed at academics and professionals interested in geotechnical and underground engineering.

This book introduces systematically the application of Bayesian probabilistic approach in soil mechanics and geotechnical engineering. Four typical problems are analyzed by using Bayesian probabilistic approach, i.e., to model the effect of initial void ratio on the soil–water characteristic curve (SWCC) of unsaturated soil, to select the optimal model for the prediction of the creep behavior of soft soil under one-dimensional straining, to identify model parameters of soils and to select constitutive model of soils considering critical state concept. This book selects the simple and easy-to-understand Bayesian probabilistic algorithm, so that readers can master the Bayesian method to analyze and solve the problem in a short time. In addition, this book provides MATLAB codes for various algorithms and source codes for constitutive models so that readers can directly analyze and practice.This book is useful as a postgraduate textbook for civil engineering, hydraulic engineering, transportation, railway, engineering geology and other majors in colleges and universities, and as an elective course for senior undergraduates. It is also useful as a reference for relevant professional scientific researchers and engineers.

This book introduces systematically the application of Bayesian probabilistic approach in soil mechanics and geotechnical engineering. Four typical problems are analyzed by using Bayesian probabilistic approach, i.e., to model the effect of initial void ratio on the soil–water characteristic curve (SWCC) of unsaturated soil, to select the optimal model for the prediction of the creep behavior of soft soil under one-dimensional straining, to identify model parameters of soils and to select constitutive model of soils considering critical state concept. This book selects the simple and easy-to-understand Bayesian probabilistic algorithm, so that readers can master the Bayesian method to analyze and solve the problem in a short time. In addition, this book provides MATLAB codes for various algorithms and source codes for constitutive models so that readers can directly analyze and practice.This book is useful as a postgraduate textbook for civil engineering, hydraulic engineering, transportation, railway, engineering geology and other majors in colleges and universities, and as an elective course for senior undergraduates. It is also useful as a reference for relevant professional scientific researchers and engineers.

This book is related to a parametric study of the soil–structural interface shearing behavior based on the numerical simulations of interface shear test with DEM, which is conducted from the role of soil properties, particle properties and structural properties.To aid readers in easily understanding the generation, implementation of models and controlling modes, for each part, the relevant code is provided in the text, and the whole source code of model is given in Appendix to share with readers for practice. The book is intended for graduate-level teaching and research in soil mechanics and geotechnical engineering, as well as in other related engineering specialties. This book is also of use to industry practitioners due to the inclusion of real-world applications, opening the door to advanced courses on modeling within the industrial engineering and operations research fields.

This book is related to a parametric study of the soil–structural interface shearing behavior based on the numerical simulations of interface shear test with DEM, which is conducted from the role of soil properties, particle properties and structural properties.To aid readers in easily understanding the generation, implementation of models and controlling modes, for each part, the relevant code is provided in the text, and the whole source code of model is given in Appendix to share with readers for practice. The book is intended for graduate-level teaching and research in soil mechanics and geotechnical engineering, as well as in other related engineering specialties. This book is also of use to industry practitioners due to the inclusion of real-world applications, opening the door to advanced courses on modeling within the industrial engineering and operations research fields.