Advances in Computational Geomechanics
Advanced Computational Techniques and Methodologies in Geotechnical Engineering
- 1st Edition - April 1, 2026
- Latest edition
- Editors: Mohamed Shahin, Rodaina Aboul Hosn
- Language: English
Advances in Computational Geomechanics: Advanced Computational Techniques and Methodologies in Geotechnical Engineering delivers a thorough exploration of the latest comput… Read more
Advances in Computational Geomechanics: Advanced Computational Techniques and Methodologies in Geotechnical Engineering delivers a thorough exploration of the latest computational innovations shaping geotechnical engineering. Divided into three distinct sections, the book first investigates stochastic, probabilistic, and reliability analyses, outlining modern methods for soil characterization, reliability-based design, and risk management in geotechnical projects. The second section spotlights the integration of artificial intelligence and machine learning, detailing data-driven solutions for analyzing geotechnical data and predicting soil behavior. The final section examines advanced numerical modeling approaches, such as the Finite Element, Finite Difference, and Discrete Element Methods.
Beyond foundational techniques, the book discusses hybrid numerical strategies and emerging trends that promise to further transform computational geomechanics. It highlights practical applications and decision-making tools powered by AI, making it an essential reference for engineers, researchers, and practitioners aiming to enhance geomechanical analyses and design. With its comprehensive coverage, this volume is ideal for professionals seeking to stay at the forefront of computational methods in geotechnical engineering.
Beyond foundational techniques, the book discusses hybrid numerical strategies and emerging trends that promise to further transform computational geomechanics. It highlights practical applications and decision-making tools powered by AI, making it an essential reference for engineers, researchers, and practitioners aiming to enhance geomechanical analyses and design. With its comprehensive coverage, this volume is ideal for professionals seeking to stay at the forefront of computational methods in geotechnical engineering.
- 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
Graduate students, academics, researchers, and professionals in geotechnical engineering, civil engineering, and related fields
Part I: Numerical Modelling and Analysis
1. Finite Element Method (FEM) and Finite Difference Method (FDM)
2. Discrete Element Method (DEM) and DEM-FEM Coupling
3. Emerging Computational Techniques
4. Hybrid Numerical Methods and Future Directions
Part II: Stochastic, Probabilistic and Reliability Analyses
5. Stochastic Methods in Geotechnical Engineering
6. Probabilistic Approaches to Soil Characterization
7. Reliability Analysis in Geotechnical Design
8. Risk Assessment and Management in Geotechnical Projects
Part III: Artificial Intelligence and Machine Learning
9. Machine Learning Algorithms for Geotechnical Data Analysis
10. AI-Based Predictive Models for Soil Behavior and Properties
11. AI in Geotechnical Risk and Decision-Making
12. Data-Driven Approaches for Soil Classification and Site Characterization
1. Finite Element Method (FEM) and Finite Difference Method (FDM)
2. Discrete Element Method (DEM) and DEM-FEM Coupling
3. Emerging Computational Techniques
4. Hybrid Numerical Methods and Future Directions
Part II: Stochastic, Probabilistic and Reliability Analyses
5. Stochastic Methods in Geotechnical Engineering
6. Probabilistic Approaches to Soil Characterization
7. Reliability Analysis in Geotechnical Design
8. Risk Assessment and Management in Geotechnical Projects
Part III: Artificial Intelligence and Machine Learning
9. Machine Learning Algorithms for Geotechnical Data Analysis
10. AI-Based Predictive Models for Soil Behavior and Properties
11. AI in Geotechnical Risk and Decision-Making
12. Data-Driven Approaches for Soil Classification and Site Characterization
- Edition: 1
- Latest edition
- Published: April 1, 2026
- Language: English
MS
Mohamed Shahin
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.
Affiliations and expertise
Professor, Geotechnical Engineering, Curtin University, AustraliaRH
Rodaina Aboul Hosn
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.
Affiliations and expertise
Assistant Professor of Geotechnical Engineering, Australian University, Kuwait