Energy-driven micro-macro modeling of earthquake-induced landslides via peridynamics-discrete element method framework

Earthquake-induced landslides involve multiscale catastrophe processes integrating fracture propagation, slip surface coalescence, and localized disintegration. The conventional discrete element method (DEM) has limitations in characterizing nonlocal bond evolution mechanisms, which are addressed by a dynamically-statically coupled peridynamics (PD)-DEM model that explicitly simulates bond fracture dynamics and energy transfer within critical interaction radii. A tri-phase elastic-strengthening-fracture constitutive model with stiffness transition coefficients overcomes linear simplification in progressive failure simulation, while explicit representation of nonlocal interactions through PD bond forces enables accurate energy transfer modeling. The framework further incorporates an energy dissipation hotspot methodology to identify slip surfaces using spatiotemporal gradients of kinetic-frictional energy densities, revealing fundamental energy-driven failure mechanisms. Validations against benchmark landslides, including the Nigawa landslide in Japan and the Xishan landslide in China, along with laboratory shaking table experiments, demonstrate the ability to capture bond breakage-controlled slip surface development, topography-amplified dynamic responses, and cross-scale energy dissipation-to-macrorupture correlations, thereby fully elucidating seismic energy input-accumulation-dissipation chains. This PD-DEM framework establishes a nonlocal theoretical basis for landslide dynamics, enabling a paradigm shift from geometric criteria to energy field-driven prognostic systems for hazard early warning.

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Publication Details

Journal
Journal of Rock Mechanics and Geotechnical Engineering
Published
2026-03-01
DOI
https://doi.org/10.1016/j.jrmge.2026.02.010
Primary Topic
Numerical methods in engineering
Type
article
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article

Energy-driven micro-macro modeling of earthquake-induced landslides via peridynamics-discrete element method framework

Bangbiao Wu, Zinuo Deng, Cungang Lin, Hang Lin et al.
Journal of Rock Mechanics and Geotechnical Engineering
Numerical methods in engineering
article

Energy-driven micro-macro modeling of earthquake-induced landslides via peridynamics-discrete element method framework

Bangbiao Wu, Zinuo Deng, Cungang Lin, Hang Lin, Yixian Wang, Yu Chen
article en

Abstract

Earthquake-induced landslides involve multiscale catastrophe processes integrating fracture propagation, slip surface coalescence, and localized disintegration. The conventional discrete element method (DEM) has limitations in characterizing nonlocal bond evolution mechanisms, which are addressed by a dynamically-statically coupled peridynamics (PD)-DEM model that explicitly simulates bond fracture dynamics and energy transfer within critical interaction radii. A tri-phase elastic-strengthening-fracture constitutive model with stiffness transition coefficients overcomes linear simplification in progressive failure simulation, while explicit representation of nonlocal interactions through PD bond forces enables accurate energy transfer modeling. The framework further incorporates an energy dissipation hotspot methodology to identify slip surfaces using spatiotemporal gradients of kinetic-frictional energy densities, revealing fundamental energy-driven failure mechanisms. Validations against benchmark landslides, including the Nigawa landslide in Japan and the Xishan landslide in China, along with laboratory shaking table experiments, demonstrate the ability to capture bond breakage-controlled slip surface development, topography-amplified dynamic responses, and cross-scale energy dissipation-to-macrorupture correlations, thereby fully elucidating seismic energy input-accumulation-dissipation chains. This PD-DEM framework establishes a nonlocal theoretical basis for landslide dynamics, enabling a paradigm shift from geometric criteria to energy field-driven prognostic systems for hazard early warning.

Journal of Rock Mechanics and Geotechnical Engineering
Central South University (CN), Sun Yat-sen University (CN), Tianjin University (CN), Hefei University of Technology (CN), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (CN)
Climate action
Openalex Percentile: Top 7%
Numerical methods in engineering
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