Article
Mechanics
Vikash Pandey, Dhrubaditya Mitra, Prasad Perlekar
Summary: A direct numerical simulation study of buoyancy-driven bubbly flows in the presence of large-scale driving that generates turbulence reveals that increasing turbulence intensity leads to more curved bubble trajectories and decreased average rise velocity. The energy spectrum of the flow exhibits pseudo-turbulence scaling for small length scales and Kolmogorov scaling for larger scales. A scale-by-scale energy budget analysis helps understand the scaling behavior seen in the spectrum, with statistical properties consistent with experiments on turbulence modulation by air bubbles in water despite the weak buoyancy of the bubbles.
JOURNAL OF FLUID MECHANICS
(2021)
Article
Mechanics
S. Beetham, R. O. Fox, J. Capecelatro
Summary: In this study, model closures for multiphase Reynolds-averaged Navier-Stokes (RANS) equations are developed using sparse regression and Eulerian-Lagrangian simulations to ensure accuracy and robustness of the models across different flow conditions. The focus is on capturing the dynamics of gas-particle flows, particularly the generation of particle clusters and interphase momentum exchange, in a compact and algebraic manner.
JOURNAL OF FLUID MECHANICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Mathis Bode, Abhishek Y. Deshmukh, Tobias Falkenstein, Seongwon Kang, Heinz Pitsch
Summary: In this study, a hybrid scheme is developed for advanced simulations in complex flow setups. It combines staggered grids and finite difference central schemes to improve the accuracy and stability of numerical calculations. The scheme utilizes weighted essentially non-oscillatory (WENO) and total variation diminishing (TVD) techniques to avoid numerical oscillations and maintain continuity in time. The newly developed scheme is demonstrated to be accurate and effective through various test cases and applications.
JOURNAL OF COMPUTATIONAL PHYSICS
(2023)
Article
Mechanics
Naveen Rohilla, Partha S. Goswami
Summary: This article explores the variation of local isotropy of fluid fluctuations and the decrease of the Kolmogorov constant in particle-laden turbulent channel flows. The author also adopts a new modeling technique using large-eddy simulation (LES) to predict fluid phase statistics without solving simultaneous particle phase equations. This study provides insights into the phenomena of drastic collapse in turbulence intensity.
JOURNAL OF FLUID MECHANICS
(2023)
Article
Nuclear Science & Technology
Marco Colombo, Roland Rzehak, Michael Fairweather, Yixiang Liao, Dirk Lucas
Summary: This paper benchmarks CFD models developed at the University of Leeds and Helmholtz-Zentrum Dresden-Rossendorf against a large database of bubbly flows in vertical pipes, aiming to identify a universal set of widely applicable closures. The focus is on interfacial momentum transfer and turbulence modeling closures, with the models proving to be reliable and robust over the tested parameters. Areas for further development are identified, and a benchmark is established for testing other models in the future.
NUCLEAR ENGINEERING AND DESIGN
(2021)
Article
Mechanics
Yan Xia, Zhaosheng Yu, Zhaowu Lin, Yu Guo
Summary: This study establishes correlations between the interfacial terms and the fluid dissipation rate equation and Reynolds stress equations in particle-laden flows, providing an accurate mathematical model and method for simulating particle-induced turbulence.
JOURNAL OF FLUID MECHANICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Marco Crialesi-Esposito, Nicolo Scapin, Andreas D. Demou, Marco Edoardo Rosti, Pedro Costa, Filippo Spiga, Luca Brandt
Summary: We introduce FluTAS, an efficient GPU code for multiphase flows with thermal effects. The code utilizes the Volume of Fluid method for interface representation and solves the Navier-Stokes equation and energy equation through explicit solutions and the Boussinesq approximation. FluTAS is modular and can be customized with different numerical methods. It is written in Fortran, parallelized using MPI/OpenMP or GPU-accelerated with OpenACC directives. The code is validated through benchmarks and applied to simulations of isothermal emulsions and Rayleigh-Benard convection.
COMPUTER PHYSICS COMMUNICATIONS
(2023)
Article
Computer Science, Interdisciplinary Applications
A. Bussmann, J. Buchmeier, M. S. Dodd, S. Adami, I. Bermejo-Moreno
Summary: A methodology is introduced to study the dynamics of fluid interfaces in multiphase flows, with a focus on their break-up and coalescence. The algorithm tracks surfaces by isocontouring an interface and uses physical and geometric information to find correspondences in higher-dimensional space. Filters are applied to the correspondences and events to ensure physical realizability and consider temporal and geometric constraints. The resulting events are used to map the time evolution of the fluid interfaces into a graph, providing information on their dynamics.
COMPUTERS & FLUIDS
(2022)
Article
Computer Science, Interdisciplinary Applications
Hao-Ran Liu, Chong Shen Ng, Kai Leong Chong, Detlef Lohse, Roberto Verzicco
Summary: The study introduces a new discretization scheme for the biharmonic term of the Cahn-Hilliard equation, which significantly reduces computational costs while maintaining accuracy. Through large-scale computations, the method demonstrates excellent performance in terms of efficiency and accuracy.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Engineering, Multidisciplinary
Kerlyns Martinez Rodriguez, Mireille Bossy, Radu Maftei, Seyedafshin Shekarforush, Christophe Henry
Summary: This article presents a new data-driven spatial decomposition algorithm that allows for the splitting of a domain containing point particles into elementary cells with spatially-uniform distributions of particles. By using statistical information, the algorithm extracts an optimal spatial decomposition, providing more accurate and mesh-independent predictions for studying particle agglomeration.
APPLIED MATHEMATICAL MODELLING
(2021)
Article
Thermodynamics
Stefanie Rauchenzauner, Simon Schneiderbauer
Summary: This study validates a multi-scale turbulence model for thermal energy estimation in gas-particle flows. The drift temperature is found to be a valid measure for heat transfer reduction due to particle clusters. The dynamic estimation of the drift temperature is proposed through test-filters and transport equations for temperature variances. The study also discusses the influence of particle clusters on temperature distributions and highlights the importance of accurate hydrodynamics for correct thermodynamics prediction.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Mechanics
Teng Xiao, Bin Xie, Xi Deng, Yanping Du
Summary: In this work, high-fidelity numerical solvers for turbulent cavitation flows were developed and used to simulate cavitation and supercavitation. The proposed solver utilizes the VOF function, interface capture method, and mass transfer models to accurately resolve cavitation bubble structures. The simulations show better agreement with experimental data and theoretical solutions compared to previous works, validating the high-fidelity predictions of the proposed solver for turbulent cavitation simulations.
Article
Mechanics
Sofia Angriman, Amelie Ferran, Florencia Zapata, Pablo J. Cobelli, Martin Obligado, Pablo D. Mininni
Summary: This study investigates the three-dimensional clustering of velocity stagnation points, vorticity nulls, and inertial particles in turbulent flows with different large-scale flow geometries by combining direct numerical simulations and particle tracking velocimetry. The results show that although the flows have different topologies in terms of null clustering, the behavior of particles is similar in all cases, indicating the clustering of Taylor-scale neutrally buoyant particles as inertial particles.
JOURNAL OF FLUID MECHANICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Chunhua Zhang, Lian-Ping Wang, Hong Liang, Zhaoli Guo
Summary: In this paper, a central moment discrete unified gas-kinetic scheme (DUGKS) is proposed for multiphase flows with large density ratio and high Reynolds number. Two sets of kinetic equations are used to approximate the incompressible Navier-Stokes equations and a conservative phase field equation for interface-capturing. The DUGKS framework defines velocity as the first moment of the distribution function for the hydrodynamic equations and carefully defines the zeroth moments to recover an artificial pressure evolution equation. Benchmark tests are conducted to demonstrate the capabilities of the proposed scheme, and the numerical results are in good agreement with theoretical and experimental data.
JOURNAL OF COMPUTATIONAL PHYSICS
(2023)
Article
Mechanics
Pablo Trefftz-Posada, Antonino Ferrante
Summary: The study explains the physical mechanisms occurring in droplet-laden homogeneous shear turbulence and focuses on the modulation of turbulence kinetic energy caused by the droplets. Direct numerical simulations and equation derivations were conducted to investigate the effects of shear number and Weber number on the modulation of TKE, as well as the relationship between the power of surface tension and the rate of change of total droplet surface area.
JOURNAL OF FLUID MECHANICS
(2023)
Article
Engineering, Multidisciplinary
Guillermo Hauke, Daniel Fuster, Fernando Lizarraga
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2015)
Article
Computer Science, Interdisciplinary Applications
Peng Cheng, Hui Li, Daniel Fuster, Wenli Chen, Stephane Zaleski
COMPUTERS & FLUIDS
(2015)
Article
Mechanics
D. Fuster, F. Montel
JOURNAL OF FLUID MECHANICS
(2015)
Article
Acoustics
Jean-Baptiste Doc, Jean-Marc Conoir, Regis Marchiano, Daniel Fuster
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2016)
Article
Thermodynamics
L. Bergamasco, D. Fuster
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2017)
Article
Physics, Fluids & Plasmas
Yue Ling, Daniel Fuster, Stephane Zaleski, Gretar Tryggvason
PHYSICAL REVIEW FLUIDS
(2017)
Article
Engineering, Chemical
Cansu Ozhan, Daniel Fuster, Patrick Da Costa
CHEMICAL ENGINEERING SCIENCE
(2014)
Article
Mechanics
D. Fuster, T. Colonius
JOURNAL OF FLUID MECHANICS
(2011)
Article
Mechanics
D. Fuster, J. -P. Matas, S. Marty, S. Popinet, J. Hoepffner, A. Cartellier, S. Zaleski
JOURNAL OF FLUID MECHANICS
(2013)
Article
Physics, Fluids & Plasmas
D. Fuster, J. M. Conoir, T. Colonius
Article
Physics, Multidisciplinary
Luc Deike, Daniel Fuster, Michael Berhanu, Eric Falcon
PHYSICAL REVIEW LETTERS
(2014)
Article
Physics, Multidisciplinary
Javier Rodriguez-Rodriguez, Almudena Casado-Chacon, Daniel Fuster
PHYSICAL REVIEW LETTERS
(2014)
Article
Mechanics
D. Fuster, K. Pham, S. Zaleski
Article
Engineering, Chemical
Maya Mounir Daou, Elena Igualada, Hugo Dutilleul, Jean-Marie Citerne, Javier Rodriguez-Rodriguez, Stephane Zaleski, Daniel Fuster
Article
Computer Science, Interdisciplinary Applications
Tian Liang, Lin Fu
Summary: In this work, a new shock-capturing framework is proposed based on a new candidate stencil arrangement and the combination of infinitely differentiable non-polynomial RBF-based reconstruction in smooth regions with jump-like non-polynomial interpolation for genuine discontinuities. The resulting scheme achieves high order accuracy and resolves genuine discontinuities with sub-cell resolution.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Lukas Lundgren, Murtazo Nazarov
Summary: In this paper, a high-order accurate finite element method for incompressible variable density flow is introduced. The method addresses the issues of saddle point system and stability problem through Schur complement preconditioning and artificial compressibility approaches, and it is validated to have high-order accuracy for smooth problems and accurately resolve discontinuities.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Gabriele Ciaramella, Laurence Halpern, Luca Mechelli
Summary: This paper presents a novel convergence analysis of the optimized Schwarz waveform relaxation method for solving optimal control problems governed by periodic parabolic PDEs. The analysis is based on a Fourier-type technique applied to a semidiscrete-in-time form of the optimality condition, which enables a precise characterization of the convergence factor at the semidiscrete level. The behavior of the optimal transmission condition parameter is also analyzed in detail as the time discretization approaches zero.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Jonas A. Actor, Xiaozhe Hu, Andy Huang, Scott A. Roberts, Nathaniel Trask
Summary: This article introduces a scientific machine learning framework that uses a partition of unity architecture to model physics through control volume analysis. The framework can extract reduced models from full field data while preserving the physics. It is applicable to manifolds in arbitrary dimension and has been demonstrated effective in specific problems.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Nozomi Magome, Naoki Morita, Shigeki Kaneko, Naoto Mitsume
Summary: This paper proposes a novel strategy called B-spline based SFEM to fundamentally solve the problems of the conventional SFEM. It uses different basis functions and cubic B-spline basis functions with C-2-continuity to improve the accuracy of numerical integration and avoid matrix singularity. Numerical results show that the proposed method is superior to conventional methods in terms of accuracy and convergence.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Timothy R. Law, Philip T. Barton
Summary: This paper presents a practical cell-centred volume-of-fluid method for simulating compressible solid-fluid problems within a pure Eulerian setting. The method incorporates a mixed-cell update to maintain sharp interfaces, and can be easily extended to include other coupled physics. Various challenging test problems are used to validate the method, and its robustness and application in a multi-physics context are demonstrated.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Xing Ji, Fengxiang Zhao, Wei Shyy, Kun Xu
Summary: This paper presents the development of a third-order compact gas-kinetic scheme for compressible Euler and Navier-Stokes solutions, constructed particularly for an unstructured tetrahedral mesh. The scheme demonstrates robustness in high-speed flow computation and exhibits excellent adaptability to meshes with complex geometrical configurations.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Alsadig Ali, Abdullah Al-Mamun, Felipe Pereira, Arunasalam Rahunanthan
Summary: This paper presents a novel Bayesian statistical framework for the characterization of natural subsurface formations, and introduces the concept of multiscale sampling to localize the search in the stochastic space. The results show that the proposed framework performs well in solving inverse problems related to porous media flows.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Jacob Rains, Yi Wang, Alec House, Andrew L. Kaminsky, Nathan A. Tison, Vamshi M. Korivi
Summary: This paper presents a novel method called constrained optimized DMD with Control (cOptDMDc), which extends the optimized DMD method to systems with exogenous inputs and can enforce the stability of the resulting reduced order model (ROM). The proposed method optimally places eigenvalues within the stable region, thus mitigating spurious eigenvalue issues. Comparative studies show that cOptDMDc achieves high accuracy and robustness.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Andrea La Spina, Jacob Fish
Summary: This work introduces a hybridizable discontinuous Galerkin formulation for simulating ideal plasmas. The proposed method couples the fluid and electromagnetic subproblems monolithically based on source and employs a fully implicit time integration scheme. The approach also utilizes a projection-based divergence correction method to enforce the Gauss laws in challenging scenarios. Numerical examples demonstrate the high-order accuracy, efficiency, and robustness of the proposed formulation.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Junhong Yue, Peijun Li
Summary: This paper proposes two numerical methods (IP-FEM and BP-FEM) to study the flexural wave scattering problem of an arbitrary-shaped cavity on an infinite thin plate. These methods successfully decompose the fourth-order plate wave equation into the Helmholtz and modified Helmholtz equations with coupled conditions on the cavity boundary, providing an effective solution to this challenging problem.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
William Anderson, Mohammad Farazmand
Summary: We develop fast and scalable methods, called RONS, for computing reduced-order nonlinear solutions. These methods have been proven to be highly effective in tackling challenging problems, but become computationally prohibitive as the number of parameters grows. To address this issue, three separate methods are proposed and their efficacy is demonstrated through examples. The application of RONS to neural networks is also discussed.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Marco Caliari, Fabio Cassini
Summary: In this paper, a second order exponential scheme for stiff evolutionary advection-diffusion-reaction equations is proposed. The scheme is based on a directional splitting approach and uses computation of small sized exponential-like functions and tensor-matrix products for efficient implementation. Numerical examples demonstrate the advantage of the proposed approach over state-of-the-art techniques.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Sebastiano Boscarino, Seung Yeon Cho, Giovanni Russo
Summary: This work proposes a high order conservative semi-Lagrangian method for the inhomogeneous Boltzmann equation of rarefied gas dynamics. The method combines a semi-Lagrangian scheme for the convection term, a fast spectral method for computation of the collision operator, and a high order conservative reconstruction and a weighted optimization technique to preserve conservative quantities. Numerical tests demonstrate the accuracy and efficiency of the proposed method.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Jialei Li, Xiaodong Liu, Qingxiang Shi
Summary: This study shows that the number, centers, scattering strengths, inner and outer diameters of spherical shell-structured sources can be uniquely determined from the far field patterns. A numerical scheme is proposed for reconstructing the spherical shell-structured sources, which includes a migration series method for locating the centers and an iterative method for computing the inner and outer diameters without computing derivatives.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
