The rheological intelligent constitutive model of debris flow: A new paradigm for integrating mechanics mechanisms with data-driven approaches by combining data mapping and deep learning

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: 269, P. 126405 - 126405

Published: Jan. 5, 2025

Language: Английский

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State of the Art of CFD-DEM Coupled Modeling and Its Application in Turbulent Flow-Induced Soil Erosion

Geosciences, Journal Year: 2025, Volume and Issue: 15(1), P. 21 - 21

Published: Jan. 10, 2025

Fluid–soil interaction plays a pivotal role in various geotechnical engineering applications, as it significantly influences processes such erosion, sediment transport, and soil stability. Modeling fluid–soil particle interactions these contexts presents substantial challenges due to the inherent complexity of occurring across multiple characteristic scales. The primary challenge lies vast disparities magnitude between scales, which demand sophisticated modeling techniques accurately capture intricate dynamics involved. Coupled models have emerged essential tools for understanding mechanisms underlying interactions. Among these, CFD-DEM (computational fluid dynamics–discrete element method) approach has gained significant attention. This method provides an effective compromise high-resolution sub-particle coarser mesh-based fluids particles. By doing so, facilitates large-scale simulations while maintaining computational efficiency, making promising solution studying complex scenarios. review highlights application engineering, with specific focus on erosion critical turbulent flow. It explores their implications dynamics, emphasizing several key aspects, including following: laminar vs. flow models: distinctions regimes is predicting fluid-induced movement. Shear stress effects: influence flow-induced shear detachment particles analyzed, particularly erosion-prone environments. Sediment transport mechanisms: factors size, density, water velocity are examined roles governing transport. Knowledge gaps future directions: involve identifying unresolved issues current models, emphasis improving accuracy scalability simulations. delving into aims advance provide insights optimizing applications. also outlines research directions bridge existing knowledge gaps, importance integrating advanced turbulence strategies enhance predictive capabilities frameworks.

Language: Английский

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Probabilistic Identification of Debris‐Flow Pathways in Mountain Fans Within a Stochastic Framework

Journal of Geophysical Research Earth Surface, Journal Year: 2024, Volume and Issue: 129(12)

Published: Dec. 1, 2024

Abstract Debris flows are solid‐liquid mixtures originating in the upper part of mountain basins and routing downstream along incised channels. When channel incises an open fan, debris flow leaves active propagates a new pathway. This phenomenon is called avulsion. We retrieve most probable avulsion pathways leveraging Monte Carlo approach based on using Digital Elevation Models (DEMs). Starting from LiDAR‐based DEMs, we build ensemble synthetic DEMs local Gaussian probability density function elevation values obtain drainage networks gravity‐driven algorithm. The was used to avulsions. applied our methodology real monitored fan Dolomites (Northeastern Italian Alps) subjected debris‐flow activity with Our allows us verify consistency between occurrence pathway those that historically occurred. Furthermore, can be predict future avulsions, assuming relevance risk assessment planning control works.

Language: Английский

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The Application of Numerical Simulation in Debris Flow Disaster Early Warning: A Case Study of Shiyang Gully, China

Land, Journal Year: 2025, Volume and Issue: 14(1), P. 181 - 181

Published: Jan. 16, 2025

This study explores the application of numerical simulation in debris flow disaster early warning, using Shiyang Gully China as a case study. Using both HEC-HMS and FLO-2D, 18 June 2017 event was reconstructed to analyze impacts cumulative rainfall, rainfall intensity, range on hazards. Simulation results showed that exceeding 90 mm or intensity surpassing 200 mm/8 h significantly increases depth, impact force, affected areas, leading severe structural damage. Expanding entire basin further amplifies risks, increasing inundation depth exposed elements. Based these findings, four-tier warning system developed: (1) blue (IV) for up including 20 mm/24 h, indicating preparation monitoring; (2) yellow (III) but below 60 mm, requiring enhanced inspections safety measures; (3) orange (II) between mm/12 necessitating immediate evacuation preparations; (4) red (I) over demanding full emergency responses. demonstrates value refining systems by integrating multi-scenario analyses parameters. The proposed offers scientific practical insights enhancing management, particularly small, high-risk watersheds, providing framework cross-regional mitigation strategies.

Language: Английский

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Deterioration of Debris Flow Deposits in High-Intensity Areas under Wet-Dry Cycles: Insights from Laboratory Static and Dynamic Tests

Geotechnical and Geological Engineering, Journal Year: 2025, Volume and Issue: 43(3)

Published: March 1, 2025

Language: Английский

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High-resolution assessment of a hillslope affected by a debris flow 3-years after a wildfire

CATENA, Journal Year: 2025, Volume and Issue: 254, P. 108999 - 108999

Published: April 7, 2025

Language: Английский

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Evaluation of road network resilience under a volcanic debris flow disaster at Changbaishan Mountain based on inundation simulations

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 116, P. 105065 - 105065

Published: Dec. 13, 2024

Language: Английский

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