Advances in Computational Geomechanics

The 1st Edition of Advances in Computational Geomechanics: Advanced Computational Techniques and Methodologies in Geotechnical Engineering offers a comprehensive reference on analytical methods in geotechnical engineering. Edited by Mohamed Shahin, Professor of Geotechnical Engineering at Curtin University in Australia, and Rodaina Aboul Hosn, this 2026 text supports graduate students, academics, researchers, and civil engineering professionals.

The work synthesizes probabilistic soil characterization, stochastic methods, and reliability analysis for geotechnical applications. It integrates data-driven soil classification and site characterization with machine learning algorithms designed for geotechnical data analysis, while examining AI-based predictive models for soil behavior and material properties.

A defining feature is its coverage of artificial intelligence-enhanced geotechnical risk assessment and decision-making frameworks. Consisting of 498 pages published by Elsevier, this volume fits graduate curricula and advanced research programs in geotechnical design.