Landslides are major natural hazards that cause loss of life, infrastructure damage, and economic disruption worldwide. Their prediction remains challenging due to the complex interplay of geological, hydrological, and mechanical factors. Physical modelling and numerical simulations have become indispensable tools for elucidating landslide processes, advancing our understanding from initiation to runout. Recent progress in computational methods and experimental techniques has significantly improved predictive capabilities and informed risk assessment. By integrating these approaches, researchers can more effectively evaluate hazards and design mitigation strategies, thereby supporting safer communities.
This session highlights advances that combine physical experiments and numerical simulations to improve landslide hazard assessment. We welcome contributions addressing initiation, propagation, deposition, and impact processes; data–model integration; and scaling from laboratory to field. The emphasis is on approaches that link fundamental process understanding with practical applications, including early warning systems, scenario analysis, and risk-informed design, across diverse landslide types, materials, and environmental settings.
We invite presentations on landslide hazards that employ advanced physical experiments (laboratory or field) and numerical simulations (e.g., DEM, SPH, MPM, CFD). Relevant topics include, but are not limited to: innovative experimental methods at multiple scales; hybrid and multiphase modelling approaches; triggering mechanisms; material and rheological characterization; runout and entrainment modelling; model calibration and validation; multi-hazard interactions; and applied case studies.