Natural convection in a vertical channel. Part 2. Oblique solutions and global bifurcations in a spanwise-extended domainVertical thermal convection is a non-equilibrium system in which both buoyancy and shear forces play a role in driving the convective flow. Beyond the onset of convection, the driven dissipative…Zheng Zheng, Laurette S. Tuckerman, Tobias M. Schneider·Mar 27, 2024SaveLearn
Kinetic data-driven approach to turbulence subgrid modelingNumerical simulations of turbulent flows are well known to pose extreme computational challenges due to the huge number of dynamical degrees of freedom required to correctly describe the complex…Giulio Ortali, Alessandro Gabbana, Nicola Demo et al.·Mar 27, 2024SaveLearn
Controlling the chaotic wake of a flapping foil by tuning its chordwise flexibilityEffects of chord-wise flexibility as an instrument to control chaotic transitions in the wake of a flexible flapping foil have been studied here using an immersed boundary method-based in-house…Chhote Lal Shah, Dipanjan Majumdar, Chandan Bose et al.·Mar 26, 2024SaveLearn
Scaling of high-Rayleigh-number convection based on internal convective boundary layerWe propose a phenomenological model for thermal convection at high Rayleigh numbers. It hypothesizes existence of a high-Reynolds-number turbulent boundary layer near each horizontal plate, which is…Chenning Tong·Mar 26, 2024SaveLearn
The memory of Rayleigh-Taylor turbulenceIn this work, we consider the problem of inferring the initial conditions of a Rayleigh-Taylor mixing zone by measuring the 0D turbulent quantities at an unspecified time. To this aim, we have…S. Thévenin, B. -J. Gréa, G. Kluth et al.·Mar 26, 2024SaveLearn
Mean temperature profiles in turbulent internal flowsWe derive explicit formulas for the mean profiles of temperature (modeled as a passive scalar) in forced turbulent convection, as a function of the Reynolds and Prandtl numbers. The derivation…Sergio Pirozzoli, Davide Modesti·Mar 26, 2024SaveLearn
Gravito-capillary pinning of pendant droplets under wet uneven surfacesPendant drops spontaneously appear on the underside of wet surfaces through the Rayleigh-Taylor instability. These droplets have no contact line, they are connected to a thin liquid film with which…Etienne Jambon-Puillet·Mar 26, 2024SaveLearn
Deep learning-based predictive modelling of transonic flow over an aerofoilEffectively predicting transonic unsteady flow over an aerofoil poses inherent challenges. In this study, we harness the power of deep neural network (DNN) models using the attention U-Net…Li-Wei Chen, Nils Thuerey·Mar 25, 2024SaveLearn
A Mathematical Description of the Quasi-Periodically Developed Heat Transfer Regime in Channels with Arrays of Periodic Solid StructuresIn this article, we present the governing equations for the temperature field upstream and downstream of the periodically developed flow region in channels with arrays of periodic solid structures.…Geert Buckinx·Mar 25, 2024SaveLearn
Entropy-conservative high-order methods for high-enthalpy gas flowsA framework for numerical evaluation of entropy-conservative volume fluxes in gas flows with internal energies is developed, for use with high-order discretization methods. The novelty of the…Georgii Oblapenko, Manuel Torrilhon·Mar 25, 2024SaveLearn
Instantaneous Visual Analysis of Blood Flow in Stenoses Using Morphological SimilarityThe emergence of computational fluid dynamics (CFD) enabled the simulation of intricate transport processes, including flow in physiological structures, such as blood vessels. While these so-called…Pepe Eulzer, Kevin Richter, Anna Hundertmark et al.·Mar 25, 2024SaveLearn
Predicting Energy Budgets in Droplet Dynamics: A Recurrent Neural Network ApproachNeural networks in fluid mechanics offer an efficient approach for exploring complex flows, including multiphase and free surface flows. The recurrent neural network, particularly the Long Short-Term…Diego A. de Aguiar, Hugo L. França, Cassio M. Oishi·Mar 24, 2024SaveLearn
Phase-field based lattice Boltzmann method for containerless freezingIn this paper, a lattice Boltzmann model is proposed to simulate solid-liquid phase change phenomena in multiphase systems. The model couples the thermal properties of the solidification front with…Jiangxu Huang, Lei Wang, Zhenhua Chai et al.·Mar 24, 2024SaveLearn
Uncertainties in Measurements of Bubbly Flows Using Phase-Detection ProbesThe analysis of bubbly two-phase flows is challenging due to their turbulent nature and the need for intrusive phase-detection probes. However, accurately characterizing these flows is crucial for…Matthias Bürgler, Daniel Valero, Benjamin Hohermuth et al.·Mar 24, 2024SaveLearn
A transformer-based neural operator for large-eddy simulation of turbulencePredicting the large-scale dynamics of three-dimensional (3D) turbulence is challenging for machine learning approaches. This paper introduces a transformer-based neural operator (TNO) to achieve…Zhijie Li, Tianyuan Liu, Wenhui Peng et al.·Mar 24, 2024SaveLearn
Shaping a Surface Microdroplet by Marangoni Forces along a Moving Contact Line of Four Immiscible PhasesThe ability to transfer microdroplets between fluid phases offers numerous advantages in various fields, enabling better control, manipulation, and utilization of small volumes of fluids in…Haichang Yang, Binglin Zeng, Qiuyun Lu et al.·Mar 24, 2024SaveLearn
Explicit form of simplified Grad's 13 moments distribution function-based moment gas kinetic solver with unstructured meshes for the multiscale rarefied flowIt is essential to efficiently solve multiscale flows covering the continuum regime to the rarefied regime. The explicit form of Grad's 13 moments distribution function-based moment gas kinetic…W. Liu, C. Shu, Z. J. Liu·Mar 24, 2024SaveLearn
A unified kinematic wave theory for melt infiltration into firnMotivated by the refreezing of melt water in firn we revisit the one-dimensional percolation of liquid water and non-reactive gas in porous ice. We analyze the dynamics of infiltration in the absence…Mohammad Afzal Shadab, Anja Rutishauser, Cyril Grima et al.·Mar 24, 2024SaveLearn
Three-dimensional clustering characteristics of large-stokes number sprays interacting with turbulent swirling co-flowsThree-dimensional (3D) clustering characteristics of large-stokes number sprays interacting with turbulent swirling co-flows are investigated experimentally. The Astigmatic Interferometric Particle…Ali Rostami, Ri Li, Sina Kheirkhah·Mar 23, 2024SaveLearn
Droplet shape representation using Fourier series and autoencodersThe shape of liquid droplets in air plays an important role in aerodynamic behavior and combustion dynamics of miniaturized propulsion systems such as microsatellites and small drones. Their precise…Mihir Durve, Jean-Michel Tucny, Deepesh Bhamre et al.·Mar 23, 2024SaveLearn
A high-performance lattice Boltzmann model for multicomponent turbulent jet simulationsIn this work an optimized multicomponent lattice Boltzmann (LB) model is deployed to simulate axisymmetric turbulent jets of a fluid evolving in a quiescent, immiscible environment over a wide range…Andrea Montessori, Luiz A. Hegele, Marco Lauricella·Mar 23, 2024SaveLearn
Sedimentation of a Spheroidal Particle in an Elastoviscoplastic FluidThe sedimentation dynamics of a prolate spheroidal particle in an unbounded elastoviscoplastic (EVP) fluid is studied by direct finite element simulations under inertialess flow conditions. The…Alie Abbasi Yazdi, Gaetano DAvino·Mar 22, 2024SaveLearn
Mesoscopic Lattice Boltzmann modeling of dense gas flows in curvilinear geometriesWe derive the Enskog equation utilizing orthonormal vielbein fields, enabling the utilization of arbitrary coordinate systems to characterize spatial geometry. Additionally, we employ an adapted…Sergiu Busuioc·Mar 22, 2024SaveLearn
Efficient aerodynamic coefficients prediction with a long sequence neural networkTraditionally, deriving aerodynamic parameters for an airfoil via Computational Fluid Dynamics requires significant time and effort. However, recent approaches employ neural networks to replace this…Zemin Cai, Zhengyuan Fan, Tianshu Liu·Mar 22, 2024SaveLearn
The effect of collision-coagulation on the mean relative velocity of particles in turbulent flow: systematic results and validation of modelThe mean radial component of relative velocity (MRV) between pairs of inertial particles is studied, where the particles are advected by turbulent flow and undergo collision-and-coagulation. A…Xiaohui Meng, Ewe-Wei Saw·Mar 22, 2024SaveLearn