Geotechnics and Generative Artificial Intelligence

Sustainable Approaches to Soil and Rock Engineering
Erscheinungsjahr 2027
ISBN: 978-3-032-46457-6
Verlag: Springer

Buch, Englisch, 502 Seiten, Format (B × H): 155 mm x 235 mm

This contributed volume examines how geotechnical engineering is being reshaped by the convergence of sustainable construction practices and generative artificial intelligence. It focuses on soil and rock systems as dynamic materials that can be analyzed, designed, and managed through data-driven methods and environmentally responsible engineering principles. The chapters in this volume examine how AI and green technologies together can reduce environmental impact while improving the precision and efficiency of geotechnical work.

The discussion spans advances in soil mechanics, predictive modelling, and sustainable ground engineering. Attention is given to AI-based soil classification, estimation of geotechnical parameters, and computational approaches to slope stability and foundation design. The book also explores bio-mediated soil improvement, reuse of construction waste in geotechnical applications, and strategies for lowering carbon intensity in infrastructure development. The book examines how machine learning, deep learning, and large language models support predictive analysis, design optimization, and decision-making in complex ground conditions. It also considers digital twins, autonomous site investigation systems, and AI-supported risk assessment tools that are beginning to reshape how projects are planned and delivered.

Rather than treating technology and sustainability as separate concerns, the book shows how they increasingly operate together to redefine engineering practice.

Zielgruppe

Research

Autoren/Hrsg.

Wang, Shuhong

Hashmi, Muhammad Zaffar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Geowissenschaften Geologie Geologie

Inhaltsverzeichnis

1 Soil Bearing Capacity: Mechanisms, Analysis, and Engineering Design.- 2 Stress Distribution in Soils: Principles, Analytical Methods, and AI-Based Approaches in Geotechnical Engineering.- 3 Consolidation Settlement and AI-Based Predictive Modeling in Soils.- 4 Lateral Earth Pressure: Classical Theories and AI-Enhanced Analysis.- 5 Transformation and Decarbonization in Ground Engineering.- 6 Data Augmentation and Simulation Using Generative AI.- 7 Generative Machine Learning Models for Soil Behavior Prediction.- 8 AI-Based Geotechnical Parameter Inversion and Uncertainty Quantification.- 9 Large Language Models (LLMs) for Geotechnical Design Automation.- 10 Life Cycle Assessment and Carbon Accounting in Geotechnics.- 11 Eco-Friendly Foundation and Embankment Design: Sustainable Geotechnics for Resilient Infrastructure.- 12 Bio Geoengineering: MICP and Vegetative Stabilization Techniques.- 13 Geosynthetics and Natural Fiber Composites in Sustainable Construction and Landfill.- 14 Recycled and Waste Materials in Ground Improvement.- 15 Green Slope Stabilization and Erosion Control Methods.- 16 Sensor Networks and Real-Time Monitoring of Geo-Systems.- 17 AI in Rock Mechanics: Pattern Recognition and Property Estimation.- 18 AI-Powered Risk Mapping and Hazard Zonation in Soil and Rock Slopes.- 19 AI-Integrated and Performance-Based Foundation Design.

Über Autor(innen)

Dr. Shuhong Wang is a professor and doctoral supervisor in the School of Resources and Civil Engineering at Northeastern University, China. His research primarily focuses on geotechnical engineering, rock mechanics, tunnel and underground construction stability, and multi-disaster risk assessments. A prolific researcher, he has authored numerous peer-reviewed studies and holds multiple patents in engineering rock mass modeling and spatial analysis systems.

Dr. Muhammad Zaffar Hashmi is an Associate Professor in the Department of Environmental Health and Management at the Health Services Academy, Islamabad, Pakistan. Recognized as a Fellow by the Pakistan Academy of Sciences, his extensive research focuses on developing pollution treatment technologies, environmental toxicology, and assessing the human health risks of emerging contaminants, microplastics, and e-waste. A former Fulbright Visiting Scholar at Michigan State University, Dr. Hashmi has published over a hundred peer-reviewed research papers and serves as the editor-in-chief and series editor for prominent environmental books published by Springer and Elsevier.