Numerical Modeling and a Parametric Study of Various Mass Flows Based on a Multi-Phase Computational Framework

Gravity-driven mass flows are typically large-scale complex multi-phase phenomena involving multiple interacting phases. Various types of mass flows usually exhibit distinct behaviors in their formation, propagation and deposition. In such large-scale geological systems, many uncertainties may arise...

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Main Authors: Mohammad Wasif Naqvi, Diwakar KC, Liangbo Hu
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Geotechnics
Subjects:
Online Access:https://www.mdpi.com/2673-7094/2/3/25
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author Mohammad Wasif Naqvi
Diwakar KC
Liangbo Hu
author_facet Mohammad Wasif Naqvi
Diwakar KC
Liangbo Hu
author_sort Mohammad Wasif Naqvi
collection DOAJ
description Gravity-driven mass flows are typically large-scale complex multi-phase phenomena involving multiple interacting phases. Various types of mass flows usually exhibit distinct behaviors in their formation, propagation and deposition. In such large-scale geological systems, many uncertainties may arise from the variations in material composition and phase behavior. The present study aims to investigate the important characteristics of some common types of mass flows including debris flows, mudflows and earth flows, based on a recently developed multi-phase computational framework, r.avaflow for flow simulation. Fractions of different phases are varied to reflect different characteristics of material composition of various mass flows and simulate the resulting flow behavior. The evolution of the critical entities during the flow motion, such as velocity, peak discharge, flow height, kinetic energy, run-out distance and deposition is examined; considerable differences among various flows are identified and discussed. Overall, the simulated mudflow cases develop higher velocity, peak discharge, kinetic energy, and longer run-out distance than the debris flow cases. The fluid fraction has a significant influence on the flow dynamics; a higher fluid fraction often leads to higher velocities and long run-out distances, but lower kinetic energy, and it also affects the final deposition and deposition pattern considerably. The present study shows promising potential of a quantitative approach to the physics and mechanics of mass flows that may assist in the risk assessment of such large-scale destructive geological hazards or disasters.
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spelling doaj.art-8bce1efc7e0e4e4fbd442096df8117922023-11-23T16:27:18ZengMDPI AGGeotechnics2673-70942022-06-012350652210.3390/geotechnics2030025Numerical Modeling and a Parametric Study of Various Mass Flows Based on a Multi-Phase Computational FrameworkMohammad Wasif Naqvi0Diwakar KC1Liangbo Hu2Department of Civil and Environmental Engineering, University of Toledo, Toledo, OH 43606, USADepartment of Civil and Environmental Engineering, University of Toledo, Toledo, OH 43606, USADepartment of Civil and Environmental Engineering, University of Toledo, Toledo, OH 43606, USAGravity-driven mass flows are typically large-scale complex multi-phase phenomena involving multiple interacting phases. Various types of mass flows usually exhibit distinct behaviors in their formation, propagation and deposition. In such large-scale geological systems, many uncertainties may arise from the variations in material composition and phase behavior. The present study aims to investigate the important characteristics of some common types of mass flows including debris flows, mudflows and earth flows, based on a recently developed multi-phase computational framework, r.avaflow for flow simulation. Fractions of different phases are varied to reflect different characteristics of material composition of various mass flows and simulate the resulting flow behavior. The evolution of the critical entities during the flow motion, such as velocity, peak discharge, flow height, kinetic energy, run-out distance and deposition is examined; considerable differences among various flows are identified and discussed. Overall, the simulated mudflow cases develop higher velocity, peak discharge, kinetic energy, and longer run-out distance than the debris flow cases. The fluid fraction has a significant influence on the flow dynamics; a higher fluid fraction often leads to higher velocities and long run-out distances, but lower kinetic energy, and it also affects the final deposition and deposition pattern considerably. The present study shows promising potential of a quantitative approach to the physics and mechanics of mass flows that may assist in the risk assessment of such large-scale destructive geological hazards or disasters.https://www.mdpi.com/2673-7094/2/3/25geohazardsdebris flowmudflownumerical modelingmulti-phase
spellingShingle Mohammad Wasif Naqvi
Diwakar KC
Liangbo Hu
Numerical Modeling and a Parametric Study of Various Mass Flows Based on a Multi-Phase Computational Framework
Geotechnics
geohazards
debris flow
mudflow
numerical modeling
multi-phase
title Numerical Modeling and a Parametric Study of Various Mass Flows Based on a Multi-Phase Computational Framework
title_full Numerical Modeling and a Parametric Study of Various Mass Flows Based on a Multi-Phase Computational Framework
title_fullStr Numerical Modeling and a Parametric Study of Various Mass Flows Based on a Multi-Phase Computational Framework
title_full_unstemmed Numerical Modeling and a Parametric Study of Various Mass Flows Based on a Multi-Phase Computational Framework
title_short Numerical Modeling and a Parametric Study of Various Mass Flows Based on a Multi-Phase Computational Framework
title_sort numerical modeling and a parametric study of various mass flows based on a multi phase computational framework
topic geohazards
debris flow
mudflow
numerical modeling
multi-phase
url https://www.mdpi.com/2673-7094/2/3/25
work_keys_str_mv AT mohammadwasifnaqvi numericalmodelingandaparametricstudyofvariousmassflowsbasedonamultiphasecomputationalframework
AT diwakarkc numericalmodelingandaparametricstudyofvariousmassflowsbasedonamultiphasecomputationalframework
AT liangbohu numericalmodelingandaparametricstudyofvariousmassflowsbasedonamultiphasecomputationalframework