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.

• 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