Advances in Computational Geomechanics

Advanced Computational Techniques and Methodologies in Geotechnical Engineering

AvMohamed Shahin,Rodaina Aboul Hosn

Häftad, Engelska, 2026

Del i serien Earth Observation

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Beskrivning

Advances in Computational Geomechanics: Advanced Computational Techniques and Methodologies in Geotechnical Engineering provides a comprehensive overview of cutting-edge computational methodologies in geotechnical engineering. The first part examines stochastic, probabilistic, and reliability analyses in geotechnical engineering, covering stochastic methods, probabilistic approaches to soil characterization, reliability analysis in geotechnical design, and risk assessment and management in geotechnical projects. The second part delves into artificial intelligence (AI) and machine learning applications in geotechnical engineering, including machine learning algorithms for geotechnical data analysis, AI-based predictive models for soil behavior and properties, AI in geotechnical risk and decision-making, and data-driven approaches for soil classification and site characterization.

The third part focuses on numerical modeling and analysis techniques, such as the Finite Element Method (FEM), Finite Difference Method (FDM), Discrete Element Method (DEM), and explores hybrid numerical methods and future directions in computational geomechanics. This book serves as a valuable resource for geotechnical engineers, researchers, and practitioners seeking to leverage advanced computational tools for geomechanical analyses and design.

Examines a wide range of topics, covering contemporary computational geomechanics and the latest advancements in geotechnical engineering
Reviews both theoretical foundations and practical insights
Provides real-world case studies and examples to illustrate the practical applications of discussed methodologies
Integrates knowledge from various disciplines, making it relevant to a broad audience within geotechnical engineering and beyond

Produktinformation

Utgivningsdatum:2026-03-27
Mått:152 x 229 x 28 mm
Vikt:1 000 g
Format:Häftad
Språk:Engelska
Serie:Earth Observation
Antal sidor:498
Förlag:Elsevier Science
ISBN:9780443277085

Utforska kategorier

Företagsekonomi inom Ekonomi och Ledarskap
Geologi inom Naturvetenskap och teknik
Affärsapplikationer inom Data och IT

Mer om författaren

Professor Mohamed Shahin is a Professor of Geotechnical Engineering at Curtin University, Australia. He received his BSc and MSc from Cairo University (Egypt) and his PhD from the University of Adelaide (Australia). He has over 25 years of academic and industrial experience with research interests spanning Computational Geomechanics, Ground Improvement and Railway Track Geo-technology. Professor Shahin currently serves as Editor and Associate Editor for a few international Journals, including Geosciences (MDPI, Switzerland), Georisk (ASCE), Geotechnical and Geological Engineering (Springer Publishing) and Frontiers in Built Environment (Frontiers). He is also a Board Member of several societies, including the Australian Geomechanics Society and the American Society of Civil Engineers (Australia Section), and he is also an Elected Fellow Member of the American Society of Civil Engineers and Engineers Australia. Dr. Rodaina Aboul Hosn is an academic and entrepreneur with a diverse background in academia and industry. She is currently Assistant Professor of Geotechnical Engineering at the Australian University (Kuwait) and Adjunct Research Fellow at Curtin University (Australia). She received her BSc in Civil Engineering from the Lebanese University in Beirut (Lebanon), MSc in Geotechnical Engineering from Lille 1 University, Science and Technology (France) and PhD in Materials, Mechanics and Civil Engineering from Grenoble Alpes University (France). Driven by a passion for innovation and technological advancement in the construction industry, Dr. Rodaina Aboul Hosn is also the visionary Founder and CEO of ConstrucTech Services, headquartered in Dubai.

Innehållsförteckning

Part I: Numerical Modelling and Analysis 1. Finite Element Method (FEM) and Finite Difference Method (FDM)2. Discrete Element Method (DEM) and DEM-FEM Coupling3. Emerging Computational Techniques4. Hybrid Numerical Methods and Future DirectionsPart II: Stochastic, Probabilistic and Reliability Analyses 5. Stochastic Methods in Geotechnical Engineering6. Probabilistic Approaches to Soil Characterization7. Reliability Analysis in Geotechnical Design8. Risk Assessment and Management in Geotechnical ProjectsPart III: Artificial Intelligence and Machine Learning 9. Machine Learning Algorithms for Geotechnical Data Analysis10. AI-Based Predictive Models for Soil Behavior and Properties11. AI in Geotechnical Risk and Decision-Making12. Data-Driven Approaches for Soil Classification and Site Characterization