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This book gathers the latest research and practical innovations that tackle critical issues in geotechnical design, hazard mitigation, and intelligent simulation. Advances in geomechanics and computational methods are transforming how engineers and researchers address infrastructure safety and resilience. By linking theoretical progress with engineering practice, it delivers actionable insights for improving system reliability and reducing risks to communities.
The book explores three major themes. The first focuses on geomechanics and constitutive modeling, analyzing the behavior of geomaterials under varied environmental and loading conditions. Both established approaches, such as elastoplasticity and critical state soil mechanics, and advanced multi-field coupling models are presented, with attention to experimental validation and parameter calibration for accurate modeling.
The second theme addresses geotechnical engineering and hazard mitigation. Topics include foundation stability, slope reinforcement, tunneling mechanics, and retaining wall design, supported by real-world case studies. Special focus is given to geohazard risk assessment of earthquakes, landslides, and subsidence. The integration of monitoring tools, remote sensing, and IoT-based sensing systems is highlighted as a path toward proactive early warning and disaster management.
The third theme highlights numerical simulation and intelligent computing in geomechanics. Finite and discrete element methods are discussed alongside deep learning, Bayesian optimization, high-performance computing, and digital twins. These techniques enable real-time decision support, enhance efficiency, and open new opportunities for adaptive and intelligent geotechnical analysis.
This book stands out by uniting geomechanics, modeling, simulation, and intelligent technologies in one resource. It serves as a valuable reference for researchers, engineers, and practitioners in civil and geotechnical engineering as well as computational modeling. Graduate students and professionals aiming to deepen their expertise in geomechanics and disaster resilience will also benefit. The content supports academic study and engineering practice, bridging theory and application to address urgent challenges in infrastructure development and geohazard prevention.
List of contents
Research on Spatiotemporal Prediction Model of Deep Deformation in Landslides Driven by Deep Learning.- Research on Rapid Detection Methods for Embankment Risks.- Three Dimensional Finite Element Analysis for Slope Stability of Ice Water Accumulations in Alpine Canyon Area.- Study on Representative Volume Element of Arch Dam Abutment Rock Mass Considering Fractal Characteristics.- Study on Stability of Bucket Foundation Breakwater under Wave Action.- Research on Ground Deformation Characteristic and Reasonable Undercrossing Space of New Double Line Shield Tunnel Undercrossing the Existing Tunnel.- Momentum Accelerated Stochastic Conjugate Gradient Algorithm Based on Seepage Flow of Earth Rock Cofferdams and Its Application in Machine Learning.- A Modified Conjugate Gradient Algorithm for Analyzing the Stability of Earth-Rock Cofferdam.- Physical Experimental Study on the Development Process of Beach Scarps under Regular Waves.- Experimental Study on Vibro Compaction Ground Improvement in Geological Conditions with High Calcium Carbonate Content.- Study on Settlement and Load Sharing Characteristics of CFG Pile Composite Foundation.- Landslide Susceptibility Assessment of Transmission Tower Slopes in Longnan Region.
