Article
Thermodynamics
Md Rakib Hossain, John Craske, Maarten van Reeuwijk
Summary: In this study, we reconstruct the wall shear stress of plane Couette flow using thermal wall imprints generated by direct numerical simulation. We explore the relationship between wall shear stress and wall temperature, and develop a spectral model based on linear regression to reconstruct the wall shear stress. The reconstructed wall shear stress successfully reproduces the streamwise streaky structures.
INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW
(2022)
Article
Computer Science, Interdisciplinary Applications
Francesco De Vanna, Filippo Avanzi, Michele Cogo, Simone Sandrin, Matt Bettencourt, Francesco Picano, Ernesto Benini
Summary: This paper presents URANOS, a massively parallel GPU-accelerated compressible flow solver for high-fidelity modeling of compressible wall flows. The solver employs modern high-fidelity and high-resolution discretization strategies, features multiple convective scheme implementations, innovative turbulence modeling frameworks, and utilizes high-order finite-difference approach. The computational performance and scalability of URANOS on different architectures are evaluated, and the solver is validated against various benchmark cases for wall flows.
COMPUTER PHYSICS COMMUNICATIONS
(2023)
Article
Mechanics
J. M. F. Peter, M. J. Kloker
Summary: This article introduces the research on film cooling technology for the nozzle extension of rocket engines. By conducting basic experiments and numerical simulations, several new influencing factors have been identified, which are of great guidance for improving cooling modeling and simulation.
Article
Mathematics
Jesus Amo-Navarro, Ricardo Vinuesa, J. Alberto Conejero, Sergio Hoyas
Summary: The study focused on the bi-Laplacian operator in fluid mechanics, designed an efficient method to solve it, and validated its potential to handle high gradient fields.
Article
Engineering, Marine
Guanghao Chen, Md. Mahbub Alam, Yu Zhou, Chunning Ji, Hongjun Zhu
Summary: This study investigates vortex-induced vibrations of an elastically supported circular cylinder under wall interference. It is found that a smaller wall-cylinder gap height ratio increases the added mass, reduces the maximum vibration amplitude, and shortens the vibration range, while enhancing the quality factor of the vibration. Decreasing the gap height ratio significantly impacts the flow structure and vortex shedding modes.
Article
Computer Science, Information Systems
Yanan Cheng, Yali Liu, Chao Li, Zhaoxin Zhang, Ning Li, Yuejin Du
Summary: This study demonstrates and evaluates the impact of DNS filtering on different types of DNS resolvers in censored networks, and proposes a system to identify the correct IP addresses of blocked domain names based on the characteristics of country-level DNS filtering.
Article
Mechanics
Aditi Sengupta, Prasannabalaji Sundaram
Summary: The present numerical investigation explores the relationship between Mach number, flow characteristics, and vorticity dynamics in a T106A low-pressure turbine blade passage. The results show that as the Mach number increases, the separation phenomenon is delayed, but there is an overall increase in blade profile loss and a decrease in turbulent mixing, which negatively affects LPT performance.
Article
Mechanics
Jia-Hui Jin, Rui Yang, Yu-Xin Zhao
Summary: The study investigates the impact of wall thermal boundary conditions on the supersonic corner flow boundary layer. The results show that at lower wall temperatures, the velocity profile in the corner zone is similar to the plate zone, but the temperature is higher. However, at higher wall temperatures, both velocity and temperature profiles in the corner zone differ from the plate zone. The effect of wall temperature on the velocity and temperature of the corner boundary layer is significant.
Article
Environmental Sciences
Ching-chun Huang, Shih-chun Pan, Wei-shan Chin, Yu-cheng Chen, Chin-yu Hsu, Pinpin Lin, Yue Leon Guo
Summary: This population-based study found that living within a 3-km radius of petrochemical industrial parks (PIPs) during pregnancy, or having high petrochemical exposure opportunity, increased the risk of premature rupture of membranes (PROM). Additional research is needed to confirm these findings.
ENVIRONMENTAL RESEARCH
(2021)
Article
Environmental Sciences
Raghav Mundhra, Rajaram Lakkaraju, Prasanta Kumar Das, Maksim A. Pakhomov, Pavel D. Lobanov
Summary: The trajectory of a rising bubble near a vertical wall is influenced by the wall proximity and surface tension. The presence of the wall increases the drag on the bubble and induces a transition from rectilinear to a zigzagging motion. The amplitude, frequency, and wavelength of the bouncing motion are independent of the initial wall distance but decrease with decreasing surface tension.
Article
Physics, Fluids & Plasmas
Sergio Hoyas, Martin Oberlack, Francisco Alcantara-Avila, Stefanie V. Kraheberger, Jonathan Laux
Summary: A new direct numerical simulation of a Poiseuille channel flow with a friction Reynolds number of 10000 has been conducted. Results show a longer logarithmic layer of the mean streamwise velocity than previously thought. The maximum intensity of the streamwise velocity increases with the Reynolds number, but the elusive second maximum has not yet appeared. The scaling of the turbulent budgets in the center of the channel is almost perfect above 1000 wall units, while the peak of the pressure intensity grows with the Reynolds number and does not scale in wall units.
PHYSICAL REVIEW FLUIDS
(2022)
Article
Physics, Fluids & Plasmas
Emanuele Gallorini, Maurizio Quadrio, Davide Gatti
Summary: This study investigates the effect of streamwise-traveling waves of spanwise wall velocity (StTW) on the quasistreamwise vortices (QSV) in the near-wall region of turbulent channels. The study finds that StTW significantly impact the wall-normal distribution of the vortex population and that the contributions of QSV to the quadrant Reynolds shear stresses change significantly during the control cycle.
PHYSICAL REVIEW FLUIDS
(2022)
Article
Computer Science, Hardware & Architecture
Tomas Hernandez-Quintanilla, Eduardo Magana, Daniel Morato, Mikel Izal
Summary: DNS is an Internet network service that resolves IP addresses from symbolic names. Some ISPs exploit DNS manipulation to collect user privacy data. Researchers have proposed a method to identify this manipulation and developed a public web tool to help protect user privacy.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2021)
Article
Mechanics
Yulu Liu, Zhihong Ding, Yizhou Tao, Junwang Qu, Xilin Xie, Xiang Qiu
Summary: This study investigates the compressible flow around a circular cylinder near a wall using direct numerical simulation. The results show that compressibility enhances flow stability but reduces the strength, shedding frequency, and fluctuation of shedding vortices with increasing Mach number. The wall inhibits vortices shedding from both the free-stream side and the wall side, with the wall-side vortices being weaker. This imbalance is intensified as the cylinder approaches the wall, leading to a decrease in shedding frequency. Based on the effect of wall proximity on frequency, the flow behavior is divided into three regimes: high-frequency, low-frequency, and completely suppression regimes. The trend of mean drag and lift force coefficients with Mach number and gap ratio is described as a scaling behavior with two piecewise functions.
Article
Mechanics
Cheng Yuan, Xingyu Dai, Wei Tian
Summary: This study investigates the turbulence behavior and coherent structure in a turbulent boundary layer over a heated plate. The effects of wall temperature on the turbulent boundary layer behavior were explored by observing the flow at different temperatures. The results reveal that the wall-heated turbulent boundary layer can be divided into three regions, with various effects on turbulence and coherent structures.
Article
Chemistry, Physical
Steven B. Beale
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2015)
Article
Computer Science, Interdisciplinary Applications
Steven B. Beale, Hae-Won Choi, Jon G. Pharoah, Helmut K. Roth, Hrvoje Jasak, Dong Hyup Jeon
COMPUTER PHYSICS COMMUNICATIONS
(2016)
Article
Chemistry, Physical
R. T. Nishida, S. B. Beale, J. G. Pharoah, L. G. J. de Haart, L. Blum
JOURNAL OF POWER SOURCES
(2018)
Article
Thermodynamics
S. M. Mojab, A. Pollard, J. G. Pharoah, S. B. Beale, E. S. Hanff
FLOW TURBULENCE AND COMBUSTION
(2014)
Article
Thermodynamics
Steven B. Beale
HEAT TRANSFER ENGINEERING
(2012)
Article
Thermodynamics
Steven B. Beale, Jon G. Pharoah, Ashwani Kumar
JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME
(2013)
Article
Thermodynamics
H-W Choi, A. Berson, J. G. Pharoah, S. B. Beale
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY
(2011)
Article
Chemistry, Physical
S. Zhang, S. B. Beale, U. Reimer, M. Andersson, W. Lehnert
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2020)
Article
Energy & Fuels
Uwe Reimer, Ekaterina Nikitsina, Holger Janssen, Martin Mueller, Dieter Froning, Steven B. Beale, Werner Lehnert
Summary: The study outlines a design process for fuel cells in mobile applications, emphasizing the need for compact and lightweight designs. The metallic bipolar plate faces the challenge of creating three flow fields when two plates are combined, but the final design achieves almost perfect distribution of coolant flow.
Article
Mechanics
Deepinder Jot Singh Aulakh, Steven B. Beale, Jon G. Pharoah
Summary: The authors present discretized loss functions based on generalized finite-volume methods integrated into pressure-linked algorithms for physics-based unsupervised training of neural networks. By leveraging well-developed numerical schemes, these discretized loss functions tailor the neural network training specifically to flow problems. The study also introduces hybrid loss functions that combine sparse observations with physics-based loss for accurate neural network training. Furthermore, the integration of TensorFlow and OpenFOAM provides versatility and improves training efficiency.
Article
Electrochemistry
Shidong Zhang, Shangzhe Yu, Roland Peters, Steven B. Beale, Holger Marschall, Felix Kunz, Ruediger-A. Eichel
Summary: This paper presents a novel coupled region-to-region numerical procedure for electric field potential calculations. It compares the performance of the coupled method with a conventional segregated scheme for simulations of a solid oxide cell. The results show that the coupled method outperforms the segregated scheme, reducing convergence times and improving stability. It can also be applied to heat transfer problems between multiple phases and regions.
ELECTROCHIMICA ACTA
(2023)
Article
Engineering, Chemical
Uwe Reimer, Dieter Froning, Gert Nelissen, Leonard F. J. M. Raymakers, Shidong Zhang, Steven B. Beale, Werner Lehnert
Proceedings Paper
Electrochemistry
R. T. Nishida, S. B. Beale, J. G. Pharoah
SOLID OXIDE FUEL CELLS 13 (SOFC-XIII)
(2013)
Proceedings Paper
Electrochemistry
H-W Choi, A. Berson, J. G. Pharoah, S. B. Beale
SOLID OXIDE FUEL CELLS 12 (SOFC XII)
(2011)
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)