Realistic representation of grain shapes in CFD–DEM simulations of sediment transport with a bonded-sphere approach

•A simple algorithm is proposed to discretize the common sediment-grain shapes.•The discretization algorithm is adequate to reproduce particle-shape properties.•The algorithm is capable of capturing integral sediment transport quantities. Development of algorithms and growth of computational resourc...

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Published inAdvances in water resources Vol. 107; pp. 421 - 438
Main Authors Sun, Rui, Xiao, Heng, Sun, Honglei
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 01.09.2017
Elsevier Science Ltd
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Online AccessGet full text
ISSN0309-1708
1872-9657
DOI10.1016/j.advwatres.2017.04.015

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Abstract •A simple algorithm is proposed to discretize the common sediment-grain shapes.•The discretization algorithm is adequate to reproduce particle-shape properties.•The algorithm is capable of capturing integral sediment transport quantities. Development of algorithms and growth of computational resources in the past decades have enabled simulations of sediment transport processes with unprecedented fidelities. The Computational Fluid Dynamics–Discrete Element Method (CFD–DEM) is one of the high-fidelity approaches, where the motions of and collisions among the sediment grains as well as their interactions with surrounding fluids are resolved. In most DEM solvers the particles are modeled as soft spheres due to computational efficiency and implementation complexity considerations, although natural sediments are usually a mixture of non-spherical (e.g., disk-, blade-, and rod-shaped) particles. Previous attempts to extend sphere-based DEM to treat irregular particles neglected fluid-induced torques on particles, and the method lacked flexibility to handle sediments with an arbitrary mixture of particle shapes. In this contribution we proposed a simple, efficient approach to representing common sediment grain shapes with bonded spheres, where the fluid forces are computed and applied on each sphere. The proposed approach overcomes the aforementioned limitations of existing methods and has improved efficiency and flexibility over existing approaches. We use numerical simulations to demonstrate the merits and capability of the proposed method in predicting the falling characteristics, terminal velocity, threshold of incipient motion, and transport rate of natural sediments. The simulations show that the proposed method is a promising approach for faithful representation of natural sediment, which leads to accurate simulations of their transport dynamics. While this work focuses on non-cohesive sediments, the proposed method also opens the possibility for first-principle-based simulations of the flocculation and sedimentation dynamics of cohesive sediments. Elucidation of these physical mechanisms can provide much needed improvement on the prediction capability and physical understanding of muddy coast dynamics.
AbstractList •A simple algorithm is proposed to discretize the common sediment-grain shapes.•The discretization algorithm is adequate to reproduce particle-shape properties.•The algorithm is capable of capturing integral sediment transport quantities. Development of algorithms and growth of computational resources in the past decades have enabled simulations of sediment transport processes with unprecedented fidelities. The Computational Fluid Dynamics–Discrete Element Method (CFD–DEM) is one of the high-fidelity approaches, where the motions of and collisions among the sediment grains as well as their interactions with surrounding fluids are resolved. In most DEM solvers the particles are modeled as soft spheres due to computational efficiency and implementation complexity considerations, although natural sediments are usually a mixture of non-spherical (e.g., disk-, blade-, and rod-shaped) particles. Previous attempts to extend sphere-based DEM to treat irregular particles neglected fluid-induced torques on particles, and the method lacked flexibility to handle sediments with an arbitrary mixture of particle shapes. In this contribution we proposed a simple, efficient approach to representing common sediment grain shapes with bonded spheres, where the fluid forces are computed and applied on each sphere. The proposed approach overcomes the aforementioned limitations of existing methods and has improved efficiency and flexibility over existing approaches. We use numerical simulations to demonstrate the merits and capability of the proposed method in predicting the falling characteristics, terminal velocity, threshold of incipient motion, and transport rate of natural sediments. The simulations show that the proposed method is a promising approach for faithful representation of natural sediment, which leads to accurate simulations of their transport dynamics. While this work focuses on non-cohesive sediments, the proposed method also opens the possibility for first-principle-based simulations of the flocculation and sedimentation dynamics of cohesive sediments. Elucidation of these physical mechanisms can provide much needed improvement on the prediction capability and physical understanding of muddy coast dynamics.
Development of algorithms and growth of computational resources in the past decades have enabled simulations of sediment transport processes with unprecedented fidelities. The Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) is one of the high-fidelity approaches, where the motions of and collisions among the sediment grains as well as their interactions with surrounding fluids are resolved. In most DEM solvers the particles are modeled as soft spheres due to computational efficiency and implementation complexity considerations, although natural sediments are usually a mixture of non-spherical (e.g., disk-, blade-, and rod-shaped) particles. Previous attempts to extend sphere-based DEM to treat irregular particles neglected fluid-induced torques on particles, and the method lacked flexibility to handle sediments with an arbitrary mixture of particle shapes. In this contribution we proposed a simple, efficient approach to representing common sediment grain shapes with bonded spheres, where the fluid forces are computed and applied on each sphere. The proposed approach overcomes the aforementioned limitations of existing methods and has improved efficiency and flexibility over existing approaches. We use numerical simulations to demonstrate the merits and capability of the proposed method in predicting the falling characteristics, terminal velocity, threshold of incipient motion, and transport rate of natural sediments. The simulations show that the proposed method is a promising approach for faithful representation of natural sediment, which leads to accurate simulations of their transport dynamics. While this work focuses on non-cohesive sediments, the proposed method also opens the possibility for first-principle-based simulations of the flocculation and sedimentation dynamics of cohesive sediments. Elucidation of these physical mechanisms can provide much needed improvement on the prediction capability and physical understanding of muddy coast dynamics.
Author Xiao, Heng
Sun, Rui
Sun, Honglei
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  givenname: Heng
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  givenname: Honglei
  surname: Sun
  fullname: Sun, Honglei
  email: sunhonglei@zju.edu.cn
  organization: Institute of Disaster Prevention, Zhejiang University, Hangzhou, China
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Snippet •A simple algorithm is proposed to discretize the common sediment-grain shapes.•The discretization algorithm is adequate to reproduce particle-shape...
Development of algorithms and growth of computational resources in the past decades have enabled simulations of sediment transport processes with unprecedented...
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SubjectTerms Algorithms
CFD–DEM
Coastal dynamics
coasts
Cohesionless sediments
Cohesive sediments
Computational fluid dynamics
Computer applications
Computer simulation
Computing time
Discrete element method
Dynamics
Flexibility
Flocculation
Fluid dynamics
Fluids
Forces (mechanics)
Hydrodynamics
Incipient motion
Interactions
Irregular particles
Mathematical models
Multiphase flow
Numerical simulations
prediction
Predictions
Representations
Sediment transport
Sedimentation
Sediments
Solvers
Spheres
Studies
Terminal velocity
Transport
Transport processes
water resources
Title Realistic representation of grain shapes in CFD–DEM simulations of sediment transport with a bonded-sphere approach
URI https://dx.doi.org/10.1016/j.advwatres.2017.04.015
https://www.proquest.com/docview/2021989363
https://www.proquest.com/docview/2000344440
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