Article
Engineering, Marine
Yang Liu, Yong Peng
Summary: Through verification and application, this improved LBM model can accurately predict the collapse of cavitation bubbles, including heat transfer, and for the first time, includes the interaction between density and temperature fields in the LBM model.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Energy & Fuels
Jinya Zhang, Hangyu Chen, Ye Zhou, Guangda Cao
Summary: This study investigated the collision mechanisms and influencing factors in the air floatation deoiling process, proposed improvement measures, and established a simulation method. The simulation results showed that the oil-gas diameter ratio, collision angle, and interphase force between oil and gas affect the collision results.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2021)
Article
Thermodynamics
Mohammad Javad Sayyari, Mohammad Hassan Ahmadian, Kyung Chun Kim
Summary: In this study, three-dimensional condensation in a domain filled with metal foam is investigated using the lattice Boltzmann method for the first time. The proposed two-phase pseudo-potential lattice Boltzmann model is extended to Phase-change problems and validated using various tests. The results show that increasing the size of metal foam cells can lead to nucleation and mode transition occurring at lower Jakob values.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2022)
Article
Thermodynamics
Zheng Wang, Kaihan Xie, Yaning Zhang, Xiaodan Hou, Wenke Zhao, Bingxi Li
Summary: In this study, a multiphase pseudo-potential model based on lattice Boltzmann method was developed to predict the distributions of temperature and water content in the thawing process of frozen soil. The model accurately described the melting of ice and migration of water in the soil with low relative errors.
APPLIED THERMAL ENGINEERING
(2023)
Article
Mechanics
Shuai Gong, Zhiheng Hu, Lining Dong, Ping Cheng
Summary: The curvature and temperature dependency of liquid-vapor surface tension is crucial in predicting the nucleation process of nanobubbles and nanodrops. In this study, a mesoscopic approach is used to quantify the curvature and temperature dependency of surface tension and Tolman length for real fluids. The approach provides a new avenue for accurately predicting nucleation processes in micro-/nanoscale phase change heat transfer.
Article
Physics, Fluids & Plasmas
Dario Maggiolo, Francesco Picano, Federico Toschi
Summary: Through pore-scale numerical simulations, it has been shown that directional-dependent two-phase flow behavior can be achieved in anisotropic porous media with controlled design. The results demonstrate distinct invasion dynamics based on the direction of fluid injection relative to the medium orientation.
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
Mechanics
Lei Xu, Wu Zhang, Yuhui Chen, Rongliang Chen
Summary: This paper proposes a parallel discrete unified gas kinetic scheme (DUGKS) for simulating inviscid high-speed compressible flows on unstructured grids. The method calculates the gradients of distribution functions using a least-square method and employs a graph-based partitioning method for load balancing and minimizing communication among processors. The numerical results validate the effectiveness and scalability of the proposed method.
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
Engineering, Civil
Danilo Stipic, Ljubomir Budinski, Julius Fabian
Summary: A novel form of lattice Boltzmann method is developed for simulating sediment transport and morphological changes. By using the shallow water equations, advection-diffusion equation, active layer mass conservation equation, and global active layer mass conservation equation, this method can accurately simulate the flow and sediment-related processes in natural watercourses with complex geometry and morphology.
JOURNAL OF HYDROLOGY
(2022)
Article
Physics, Fluids & Plasmas
Zhaoli Guo, Lian-Ping Wang, Yiming Qi
Summary: In this paper, a discrete unified gas kinetic scheme (DUGKS) is proposed for continuum compressible gas flows based on the total energy kinetic model. The DUGKS can be viewed as a special finite-volume lattice Boltzmann method for the compressible Navier-Stokes equations in the double distribution function formulation. The computational efficiency of the proposed DUGKS is much improved compared to previous versions.
Article
Computer Science, Interdisciplinary Applications
Alexandre Suss, Ivan Mary, Thomas Le Garrec, Simon Marie
Summary: A hybrid numerical method that combines the lattice Boltzmann method and a compressible finite-volume Navier-Stokes solver is proposed for unsteady aerodynamic and aeroacoustic simulations. The method allows for more realistic and detailed simulations in a reasonable amount of CPU time by taking advantage of the numerical features of both methods in specific flow regions. The key challenge lies in ensuring a smooth transition of the flow variables at the coupling interface between the lattice Boltzmann method and the Navier-Stokes solver.
JOURNAL OF COMPUTATIONAL PHYSICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Pierre Lallemand, Li-Shi Luo, Manfred Krafczyk, Wen-An Yong
Summary: This review summarizes the rigorous mathematical theory behind the lattice Boltzmann equation (LBE), including the relevant properties of the Boltzmann equation, derivation of the LBE, and important LBE models. The focus is on the numerical analysis of the LBE as a solver for the nearly incompressible Navier-Stokes equations with appropriate boundary conditions, with several numerical results provided to demonstrate the efficacy of the lattice Boltzmann method.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Mechanics
Yanfang Lyu, Xiaoyu Zhao, Zhiqiang Gong, Xiao Kang, Wen Yao
Summary: Data-driven prediction of laminar flow and turbulent flow in marine and aerospace engineering has been extensively studied and shown potential in real-time prediction. This work proposes a novel multi-fidelity learning method that combines abundant low-fidelity data and limited high-fidelity data using the Fourier neural operator and transfer learning. The method achieves high modeling accuracy of 99% for selected physical field problems, outperforming other high-fidelity models. The proposed method has the potential to provide a reference for subsequent model construction with its simple structure and high precision for fluid flow problems.
Article
Engineering, Civil
Yu Liu, Zhenhua Chai, Xiuya Guo, Baochang Shi
Summary: The LB model proposed in this paper effectively recovers viscosity and eliminates additional errors, improving accuracy and ensuring system conservation. Additionally, the model considers the influence of rainfall intensity on shallow water flow, accurately studying problems such as overland flows.
JOURNAL OF HYDROLOGY
(2021)
Article
Chemistry, Physical
Dong Liu, Anjie Hu
Article
Energy & Fuels
Zhenyu Wang, Lin Xu, Dong Liu, Qing Zhang, Anjie Hu, Ruheng Wang, Yongcan Chen
Summary: In this study, a low-air temperature sludge drying system was constructed to investigate the effects of temperature and relative humidity on the characteristics of the system. The experimental results showed that the drying rate of sludge increased with increasing air temperature and decreasing relative humidity. The relationship equations of the average drying rate, temperature, and humidity were summarized and compared with experimental results, showing a maximum relative error of 7.6375%.
Article
Physics, Multidisciplinary
Anjie Hu, Qiaowei Yuan, Kaiyue Guo, Zhenyu Wang, Dong Liu
Summary: This study investigates the freezing characteristics of double-droplet impact on three typical wettability surfaces using solidification and melting VOF models. Different temperature conditions are employed to study the influence of icing speed on droplet behavior. The results show that the early spreading stage of double-droplet impact is consistent with that of a single droplet, while the retraction stage behaves differently. The wetting area evolution during the impact-freezing process differs for hydrophilic and hydrophobic surfaces. Three typical impact results are observed on superhydrophobic cold surfaces: full rebound, adhesive avulsion, and full adhesion, reflecting the interaction of droplet merging and solidification during impact freezing.
Article
Physics, Multidisciplinary
Zhenyu Wang, Qiang Wang, Ju Lai, Dong Liu, Anjie Hu, Lin Xu, Yongcan Chen
Summary: Based on the sludge mass transfer flux model, this paper investigates the drying characteristics of sludge under low-temperature conditions and proposes an improved model to better simulate the drying process.
Article
Construction & Building Technology
Dong Liu, Na Liu, Donglin Ren, Xiaozhou Wu, Jun Wang, Yabin Tian, Anjie Hu, Li Wan, Jialan Wen
Summary: This study compared the thermal sensation and physiological responses to a radiant floor heating system between young adults and preschool children. The results showed that preschool children adapt better to the thermal environment and have a higher sensitivity to temperature changes compared to adults.
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)