<p>Retrogressive landslides in sensitive soils are driven by strong post-peak softening and rapid strength loss. This paper develops an optimized, two-part operational framework comprising a simplified, cui-based Disintegration Energy (DE) correlation and a 3- domain susceptibility classification. The primary advantage of this approach lies in its simplicity: by quantifying the mechanical work required to remold soft soils using widely available standard parameters, it provides a practitioner-oriented tool that bypasses the need for complex constitutive testing. The framework integrates remoulded undrained shear strength (cur), sensitivity (St), and liquidity index (IL), and is calibrated using a harmonized, multi-regional dataset of 32 landslides from the Nordic region and Eastern Canada. A 75%-DE target consistent with remoulding energetics is adopted, and values are computed through a comparative analysis with existing analytical models to ensure methodological consistency. Comparative benchmarking demonstrates high mathematical fidelity to established theory, with very high coefficients of determination (R2=0.99) and low error values, confirming the framework's internal consistency for highly sensitive contexts. The study formalizes three susceptibility domains in the cur–IL space, assigned to flowslides, spreads, and rotational slides, providing operational thresholds for hazard classification. These thresholds are methodologically aligned with ISO 18772:2025 for quantification and ISO 22328-2:2024 for operational risk management, offering a standardized, accessible tool that facilitates integration into GIS-based workflows for mitigation planning in sensitive soils.</p>

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Energy-based classification of sensitive clay landslides: an operational disintegration energy model for hazard and risk assessment

  • Lamia Touiti Bouebdellah,
  • Ehab Sabi

摘要

Retrogressive landslides in sensitive soils are driven by strong post-peak softening and rapid strength loss. This paper develops an optimized, two-part operational framework comprising a simplified, cui-based Disintegration Energy (DE) correlation and a 3- domain susceptibility classification. The primary advantage of this approach lies in its simplicity: by quantifying the mechanical work required to remold soft soils using widely available standard parameters, it provides a practitioner-oriented tool that bypasses the need for complex constitutive testing. The framework integrates remoulded undrained shear strength (cur), sensitivity (St), and liquidity index (IL), and is calibrated using a harmonized, multi-regional dataset of 32 landslides from the Nordic region and Eastern Canada. A 75%-DE target consistent with remoulding energetics is adopted, and values are computed through a comparative analysis with existing analytical models to ensure methodological consistency. Comparative benchmarking demonstrates high mathematical fidelity to established theory, with very high coefficients of determination (R2=0.99) and low error values, confirming the framework's internal consistency for highly sensitive contexts. The study formalizes three susceptibility domains in the cur–IL space, assigned to flowslides, spreads, and rotational slides, providing operational thresholds for hazard classification. These thresholds are methodologically aligned with ISO 18772:2025 for quantification and ISO 22328-2:2024 for operational risk management, offering a standardized, accessible tool that facilitates integration into GIS-based workflows for mitigation planning in sensitive soils.