Article
Physics, Fluids & Plasmas
Charles Armstrong, Yan Peng
Summary: In this work, a quasisteady, dual time-stepping lattice Boltzmann method is proposed for simulation of capsule deformation. The method reduces the computational time by a factor of ten, presenting results for a wide range of parameters and initial configurations.
Article
Computer Science, Interdisciplinary Applications
Haonan Peng, Jianmin Zhang, Xiaolong He, Yurong Wang
Summary: The paper explores the collapse process of cavitation bubbles near a rigid boundary using the double distribution function thermal lattice Boltzmann method. The simulation results show that this method is reliable for studying thermal cavitation bubble dynamics.
COMPUTERS & FLUIDS
(2021)
Article
Mechanics
Ruizhe Cao, Huiyong Feng, Jian Hou, Bei Wei, Haibo Huang
Summary: Inertia plays a significant role in the transient deformation process and steady-state structure of a deformable capsule. This study numerically investigates the behavior of a two-dimensional deformable capsule in shear flow at finite Reynolds numbers and proposes a scaling law for the capsule's maximum deformation.
Article
Mechanics
Huiyong Feng, Haibo Huang, Xi-Yun Lu
Summary: The rheology of capsule suspension in 2D Poiseuille flow is studied using numerical methods, showing that the apparent viscosity is influenced by capsule volume fraction and bending stiffness. Different flow regimes and equilibrium spatial configurations are observed, with capsule position affecting viscosity. In dilute cases, changes in flow regimes with increasing Reynolds number are noted, while in concentrated cases, the optimal volume fraction for capsule transport increases with Reynolds number.
Article
Mathematics, Applied
Bahrul Jalaali, Muhammad Ridlo Erdata Nasution, Kumara Ari Yuana, Deendarlianto, Okto Dinaryanto
Summary: In this study, the gravitational liquid-liquid two-phase flow was numerically investigated using the LBM method. The feasibility of the method was confirmed through convergence tests and comparisons with experimental and other numerical results, showing good agreement. Parametric studies revealed the ability of the LBM method to successfully simulate various phenomena during RTI.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Physics, Multidisciplinary
Jing-Sen Feng, Jing-Chun Min
Summary: Immiscible two-phase flow is widely present in various fields and plays a significant role in enhancing oil recovery and geological carbon dioxide storage. The lattice Boltzmann method (LBM) has been widely used to simulate such flows due to its unique advantage of not needing to capture the phase interface. In this research, the multi-relaxation time multi-component pseudopotential lattice Boltzmann method is improved to solve the two-phase relative permeability under high viscosity ratios.
ACTA PHYSICA SINICA
(2023)
Article
Environmental Sciences
Natanael Suwandi, Fei Jiang, Takeshi Tsuji
Summary: This study investigates the relative roles of viscosity ratio and capillary number on relative permeability of nonwetting and wetting fluids in a Berea sandstone model. The results show that increasing viscosity ratio leads to an increase in nonwetting fluid relative permeability and a decrease in wetting fluid relative permeability. Additionally, low capillary number significantly reduces nonwetting fluid relative permeability while wetting fluid relative permeability remains relatively unchanged. The correlation between viscosity ratio, capillary number, and nonwetting fluid relative permeability provides important insights for reservoir-scale simulations.
WATER RESOURCES RESEARCH
(2022)
Article
Mechanics
Jingtao Ma, Qiuxiang Huang, Yi Zhu, Yuan-Qing Xu, Fang-Bao Tian
Summary: This paper numerically investigates the impact of fluid rheology on the behaviors of a spherical capsule through a microchannel constriction. Different flow scenarios are considered and the results demonstrate that fluid viscoelasticity has significant influence on the lengths of the capsule in different stages of passage through the constriction.
Article
Physics, Mathematical
Karun P. N. Datadien, Gianluca Di Staso, Federico Toschi
Summary: Multicomponent models based on LBM have advantages in parallel performances, scalability, and automatic resolution of events. However, current models have limitations in numerical stability, preventing exploration of low viscosity regimes.
COMMUNICATIONS IN COMPUTATIONAL PHYSICS
(2023)
Article
Mathematics, Applied
Takashi Yodono, Kentaro Yaji, Takayuki Yamada, Kozo Furuta, Kazuhiro Izui, Shinji Nishiwaki
Summary: In this paper, a topology optimization method for isotropic linear elastic body problems using LBM is proposed. The analysis approach of the isotropic linear elastic field using LBM is constructed by incorporating the expansion technique of the governing equations. The design sensitivity is derived using the adjoint lattice Boltzmann method. The validity of the proposed method is demonstrated with numerical examples.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2022)
Article
Thermodynamics
T. R. Zakirov, A. N. Mikhailova, M. A. Varfolomeev, C. Yuan
Summary: This paper presents the first systematic study of the dynamic adsorption of a water-soluble catalyst during two-phase flows in porous media. Mathematical modeling using lattice Boltzmann simulations was used to analyze the adsorption process. The results showed that oil viscosity and capillary number have opposite effects on the adsorbed amount of catalyst. The study also characterized different adsorption regimes based on the adsorption rate constant and capillary number.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2023)
Article
Mathematics
Oleg Ilyin
Summary: In the entropic lattice Boltzmann approach, the parameter alpha governs the stability properties and viscosity of a flow. This study addresses the problem of evaluating alpha to secure the fulfillment of the discrete H-theorem with an average value close to alpha = 2. The proposed method approximates the H-function by a quadratic function and derives an analytical expression for alpha based on the entropy balance requirement. Simulation results validate the formula by demonstrating very small excessive dissipation.
Article
Geosciences, Multidisciplinary
Lihua Shao, Ping Lin, Jingwei Zhu, Yiyang Zhou, Chiyu Xie
Summary: The groundwater system is crucial for various human activities, but its safety is threatened by contamination. Emulsion has been suggested as a potential solution for decontamination. This study uses lattice Boltzmann simulations to reveal the pore-scale mechanism for the viscosity increase in decane-water emulsions. The results show that the apparent viscosity reaches its maximum when the decane saturation is around 20%, and the maximum viscosity increases with interfacial tension.
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Mechanics
Dong Zhao, Jian Hou, Bei Wei, Haihu Liu, Qingjun Du, Yang Zhang, Zezheng Sun
Summary: This study presents a fast method for predicting displacement fronts in different heterogeneous porous media using deep learning and orthogonal design. By generating displacement schemes with different permeability contrasts, capillary numbers, and viscosity ratios through orthogonal design, and obtaining datasets of displacement fronts through lattice Boltzmann simulation, a prediction network is established based on the U-Net structure. The results show that this method significantly reduces the time required for dataset establishment and network training, and greatly reduces the time needed for network prediction compared to lattice Boltzmann simulation.
Article
Energy & Fuels
Luma Al-Tamimi, Hassan Farhat, Wessam F. Hasan
Summary: In this study, a two-dimensional hybrid quasi-steady thermal lattice Boltzmann model was used to investigate the combined multiphysics effects on oil in water systems flowing between two-parallel oil-wet plates. The parametric study revealed that factors such as surfactants and temperature have significant impacts on the flow characteristics of oil in water emulsions in microchannels. The presence of surfactant enhances droplet transportation inside the channel, while an increase in temperature improves suspended phase bulk velocity and power number ratio.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Huilin Ye, Haibo Huang, Yi Sui, Xi-Yun Lu
COMPUTERS & FLUIDS
(2016)
Article
Chemistry, Multidisciplinary
Quanzi Yuan, Jinhong Yang, Yi Sui, Ya-Pu Zhao
Article
Engineering, Mechanical
Yuan-Qing Xu, Yan-Qun Jiang, Jie Wu, Yi Sui, Fang-Bao Tian
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2018)
Article
Thermodynamics
Yongpan Cheng, Fan Wang, Jinliang Xu, Dong Liu, Yi Sui
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2018)
Article
Thermodynamics
Bo Zhang, Dong Liu, Yongpan Cheng, Jinliang Xu, Yi Sui
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2018)
Article
Mechanics
Z. Wang, Y. Sui, A- Salsac, D. Barthes-Biesel, W. Wang
JOURNAL OF FLUID MECHANICS
(2018)
Article
Mechanics
F. Wang, F. P. Conto, N. Naz, J. R. Castrejon-Pita, A. A. Castrejon-Pita, C. G. Bailey, W. Wang, J. J. Feng, Y. Sui
JOURNAL OF FLUID MECHANICS
(2019)
Article
Mathematics, Interdisciplinary Applications
Dalei Jing, Jian Song, Yi Sui
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2020)
Article
Thermodynamics
Yang Ma, Yongpan Cheng, Yang Shen, Jinliang Xu, Yi Sui
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2020)
Article
Mechanics
K. Ashoke Raman, Erik Birgersson, Yi Sui, Adrian Fisher
Article
Chemistry, Multidisciplinary
Yang Shen, Yongpan Cheng, Jinliang Xu, Kai Zhang, Yi Sui
Article
Thermodynamics
Yongpan Cheng, Yang Shen, Dong Liu, Jinliang Xu, Yi Sui
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2020)
Article
Computer Science, Interdisciplinary Applications
Jingtao Ma, Zhen Wang, John Young, Joseph C. S. Lai, Yi Sui, Fang-Bao Tian
JOURNAL OF COMPUTATIONAL PHYSICS
(2020)
Article
Mechanics
Tao Lin, Zhen Wang, Ruixin Lu, Wen Wang, Yi Sui
Summary: In this study, a novel efficient method combining a deep convolutional neural network with a high-fidelity mechanistic capsule model is proposed to predict the membrane viscosity and elasticity of microcapsules flowing in a branched microchannel. Compared with traditional methods, this approach significantly increases prediction throughput rate while maintaining accuracy, and can handle capsules with large deformation in inertial flows.
Proceedings Paper
Energy & Fuels
Cheng Chen, Xi Jiang, Yi Sui
INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS
(2019)
Article
Computer Science, Interdisciplinary Applications
Jin Bao, Zhaoli Guo
Summary: At the equilibrium state of a two-phase fluid system, the chemical potential is constant and the velocity is zero. However, it is challenging to capture this equilibrium state accurately in numerical simulations, resulting in inconsistent thermodynamic interfacial properties and spurious velocities. Therefore, numerical schemes with well-balanced properties are preferred for simulating two-phase flows.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Brian C. Vermeire
Summary: This study presents a framework for implicit large eddy simulation (ILES) of incompressible flows by combining the entropically damped artificial compressibility (EDAC) method with the flux reconstruction (FR) approach. Experimental results demonstrate that the method is accurate and stable for low-order solutions, while higher-order solutions exhibit significantly higher accuracy and lower divergence error compared to reference direct numerical simulation.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Mijian Li, Rui Wang, Xinyu Guo, Xinyu Liu, Lianzhou Wang
Summary: In this study, the flow mechanisms around wall-mounted structures were investigated using Large Eddy Simulation (LES). The impact of inflow turbulence on the flow physics, dynamic response, and hydrodynamic performance was explored. The results revealed strong interference between velocity fluctuations and the wake past the cylinder, as well as significant convection effects in the far wake region.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Donatella Passiatore, Luca Sciacovelli, Paola Cinnella, Giuseppe Pascazio
Summary: A high-order shock-capturing central finite-difference scheme is evaluated for numerical simulations of hyper-sonic high-enthalpy flows out of thermochemical equilibrium. The scheme utilizes a tenth-order accurate central-difference approximation of inviscid fluxes, along with high-order artificial dissipation and shock-capturing terms. The proposed approach demonstrates accuracy and robustness for a variety of thermochemical non-equilibrium configurations.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Philipp Bahavar, Claus Wagner
Summary: Condensation is an important aspect in flow applications, and simulating the gas phase and tracking the deposition rates of condensate droplets can capture the effects of surface droplets on the flow while reducing computational costs.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Andras Szabo, Gyorgy Paal
Summary: This paper introduces an efficient calculation method, the parabolized stability equations (PSE), for solving stability equations. By calculating LU factorization once in each marching step, the time spent on solving linear systems of equations can be significantly reduced. Numerical experiments demonstrate the effectiveness of this method in reducing the solution time for linear equations, and its applicability to similar problems.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
A. Khalifa, M. Breuer
Summary: This study evaluates a recently developed data-driven model for collision-induced agglomerate breakup in high mass loading flows. The model uses artificial neural networks to predict the post-collision behavior of agglomerates, reducing computational costs compared to coupled CFD-DEM simulations.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Chunmei Du, Maojun Li
Summary: This paper considers the bilayer shallow water wave equations in one-dimensional space and presents an invariant domain preserving DG method to avoid Kelvin-Helmholtz instability.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Jean-Michel Tucny, Mihir Durve, Andrea Montessori, Sauro Succi
Summary: The prediction of non-equilibrium transport phenomena in disordered media is a challenging problem for conventional numerical methods. Physics-informed neural networks (PINNs) show potential for solving this inverse problem. In this study, PINNs were used to successfully predict the velocity field of rarefied gas flow, and AdamW was found to be the best optimizer.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Min Gao, Pascal Mossier, Claus-Dieter Munz
Summary: In recent decades, the arbitrary Lagrangian-Eulerian (ALE) approach has gained popularity in dealing with fluid flows with moving boundaries. This paper presents a novel algorithm that combines the ALE finite volume (FV) and ALE discontinuous Galerkin (DG) methods into a stable and efficient hybrid approach. The main challenge of this mixed ALE FV and ALE DG method is reducing the inconsistency between the two discretizations. The proposed algorithm is implemented into a loosely-coupled fluid-structure interaction (FSI) framework and is demonstrated through various benchmark test cases and complex scenarios.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Dawid Strzelczyk, Maciej Matyka
Summary: In this study, the numerical convergence of the Meshless Lattice Boltzmann Method (MLBM) is investigated through three benchmark tests. The results are compared to the standard Lattice Boltzmann Method (LBM) and the analytical solution of the Navier-Stokes equation. It is found that MLBM outperforms LBM in terms of error value for the same number of nodes discretizing the domain.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Kanishka Bhattacharya, Tapan Jana, Amit Shaw, L. S. Ramachandra, Vishal Mehra
Summary: In this work, an adaptive algorithm is developed to address the issue of tensile instability in Smoothed Particle Hydrodynamics (SPH) by adjusting the shape of the kernel function to satisfy stability conditions. The effectiveness of the algorithm is demonstrated through dispersion analysis and fluid dynamics simulations.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Luis Laguarda, Stefan Hickel
Summary: We propose several enhancements to improve the accuracy and performance of the digital filter turbulent inflow generation technique, such as introducing a more realistic correlation function and varying target length scales. Additionally, we suggest generating inflow data in parallel at a prescribed time interval to improve computational performance. Based on the results of large-eddy simulations, these enhancements have shown to be beneficial. Suppressing streamwise velocity fluctuations at the inflow leads to the fastest relaxation of pressure fluctuations. However, this approach increases the adaptation length, which can be shortened by artificially increasing the wall-normal Reynolds stresses.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Constantin Zenz, Michele Buttazzoni, Tobias Florian, Katherine Elizabeth Crespo Armijos, Rodrigo Gomez Vazquez, Gerhard Liedl, Andreas Otto
Summary: A new model for compressible multiphase flows involving sharp interfaces and phase change is presented, with a focus on the treatment of compressibility and phase change in the multiphase fluid flow model. The model's accuracy and suitability are demonstrated through comparisons with experimental observations.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Joseph O'Connor, Sylvain Laizet, Andrew Wynn, Wouter Edeling, Peter V. Coveney
Summary: This article aims to apply uncertainty quantification and sensitivity analysis to the direct numerical simulation (DNS) of low Reynolds number wall-bounded turbulent channel flow. By using a highly scalable DNS framework and UQ techniques, the study evaluates the influence of different numerical parameters on the simulation results without explicitly modifying the code. The findings provide guidance for numerical simulations of wall-bounded turbulent flows.
COMPUTERS & FLUIDS
(2024)
