Preferential flow paths arise in many network systems, from traffic networks to disease transmission and fluid flow in porous rock environments. Understanding why and how preferential flow paths form provides the basis for developing prediction methods to determine where and under what conditions preferred paths will occur, with direct application to forecasting natural landslide events, pathways of disease transmission, and predicting the fate of injected fluids in subsurface environments. This report provides a brief introduction to porous network models, prediction of flow paths based on discrete element simulations, landslide event and material fracture prediction, and introduces a toy mathematical model to predict landslide failure times.

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Form, function, and failure shape preferred flow paths in porous media

  • Emily Chen,
  • Nitay Ben-Shachar

摘要

Preferential flow paths arise in many network systems, from traffic networks to disease transmission and fluid flow in porous rock environments. Understanding why and how preferential flow paths form provides the basis for developing prediction methods to determine where and under what conditions preferred paths will occur, with direct application to forecasting natural landslide events, pathways of disease transmission, and predicting the fate of injected fluids in subsurface environments. This report provides a brief introduction to porous network models, prediction of flow paths based on discrete element simulations, landslide event and material fracture prediction, and introduces a toy mathematical model to predict landslide failure times.