Modeling of spillage and debris floods as Newtonian and viscoplastic Bingham flows with free surface with mixed stabilized finite elements

Moreno, E.; Dialami, Narges; Cervera, Miguel

doi:10.1016/j.jnnfm.2021.104512

Cited by 5 publications

(2 citation statements)

References 47 publications

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“…The debris-flow is modeled as a series of rectangular solid blocks, and the flexible debris-flow barrier is modeled as a series of rings, cables, and braking elements. Moreno E et al used the mixed stable finite element method to numerically simulate debrisflow [15]. The location of the flowing free surface was determined using a mixed stable velocity/pressure finite element formula.…”

Section: Introductionmentioning

confidence: 99%

Simulation and Prediction Algorithm for the Whole Process of Debris Flow Based on Multiple Data Integration

Fang,

2023

Water

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In order to solve the problems of large errors and low accuracy in debris-flow forecasting, the simulation and prediction algorithm for the whole process of debris flow based on multiple data integrations is studied. The middleware method is used to integrate multiple GIS data sets, and the GIS spatial database after multiple data integrations is used to provide the basis of data for the whole process simulation and prediction of debris flow. The spatial cellular simulation model of debris flow is built using the cellular automatic mechanism. The improved kernel principal component analysis method is used to reduce the dimension of debris-flow prediction index data. The reduced dimension index data is input into the support vector machine, and the support vector machine is used to output the prediction results of debris flow in the space cell simulation model of debris flow. Through the simulation visualization technology, the dynamic display of the simulation prediction of the whole process of debris flow is carried out. The experimental results show that the algorithm can realize the simulation of the whole process of debris-flow changes, that the prediction results of debris flow are close to the actual results, and that the error is less than 5%, which improves the prediction accuracy of debris flow and can be used as the auxiliary basis for relevant decision-making departments.

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Section: Introductionmentioning

confidence: 99%

Simulation and Prediction Algorithm for the Whole Process of Debris Flow Based on Multiple Data Integration

Fang,

2023

Water

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“…Chen et al (2018) chose the Bingham fluid as the constitutive model of this debris flow and used finite volume method (FVM) software based on computational fluid dynamics (CFD) to simulate the fields of flow velocity, pressure, and mud depth of the Zoumaling debris flow. Moreno et al (2021) considered the numerical modeling of spillage and debris floods as Newtonian and viscoplastic Bingham flows with free surface using mixed stabilized finite elements. Their main objective was to determine the location of the free surface of the flow.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of the flow characteristics of Bingham fluid on a slope with corrected smooth particle hydrodynamics

Wang

Zhao

et al. 2022

Front. Environ. Sci.

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The Bingham model can effectively describe the flow behavior of viscoplastic fluid. It is important to study the flow characteristics of Bingham fluid to understand the dynamic mechanism of viscous debris flow. In this study, the Bingham fluid flow on a slope is numerically researched using a corrected smooth particle hydrodynamics (CSPH) method based on periodic density re-initialization and artificial stress. First, the accuracy and stability of the improved SPH method are verified by the benchmark problem impacting droplets. Then, the flow characteristics of the Bingham fluid on the slope and the influence of the slope inclination angle on the Bingham fluid movement process are studied with the improved SPH method. The numerical results show that the improved SPH numerical scheme has higher accuracy and better stability and can deal with the complex flow behavior of the unsteady Bingham fluid.

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Numerical model of debris flow susceptibility using slope stability failure machine learning prediction with metaheuristic techniques trained with different algorithms

Onyelowe,

Moghal,

Ahmad

et al. 2024

Sci Rep

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Modeling of spillage and debris floods as Newtonian and viscoplastic Bingham flows with free surface with mixed stabilized finite elements

Cited by 5 publications

References 47 publications

Simulation and Prediction Algorithm for the Whole Process of Debris Flow Based on Multiple Data Integration

Simulation and Prediction Algorithm for the Whole Process of Debris Flow Based on Multiple Data Integration

Numerical investigation of the flow characteristics of Bingham fluid on a slope with corrected smooth particle hydrodynamics

Numerical model of debris flow susceptibility using slope stability failure machine learning prediction with metaheuristic techniques trained with different algorithms

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