130 papers
This paper develops, simulates, and analytically derives a spatio-temporal random synthetic turbulent velocity field based on a divergence-free fractional Gaussian framework and Ornstein-Uhlenbeck temporal evolution, demonstrating that its statistical properties align with direct numerical simulations of the Navier-Stokes equations.
This paper introduces a novel, locally conservative spatial discretization for the compressible Euler equations of thermally perfect gases that guarantees discrete entropy conservation while preserving linear invariants and kinetic energy, offering improved accuracy and robustness over existing methods.
This paper proposes and numerically validates an experimentally feasible protocol for the deterministic nucleation and manipulation of stable quantum vortex rings in Bose-Einstein condensates using a sweeping laser-sheet barrier, enabling precise control over their properties and the generation of Kelvin-wave excitations for the study of three-dimensional vortices and quantum turbulence.
This paper presents a physics-based pore-network model for yield-stress fluid flow in disordered porous media that accurately captures nonlinear transport and channelization by deriving pressure-flow relations from pore-scale mechanics, revealing that near-yield pressure losses are governed by constriction statistics rather than obstacle-scale length.
This paper establishes a rigorous two-way equivalence between the incompressible Navier-Stokes equations and the principle of minimum pressure gradient (PMPG), demonstrating that the former is mathematically identical to the instantaneous minimization of the pressure force required to enforce incompressibility, thereby offering a variational framework that generalizes classical Galerkin projections and provides new insights into flow stability and the vanishing-viscosity limit.
This paper presents a review of a statistical mechanics approach, based on Jaynes' information-theoretical entropy, which provides a manageable continuum-scale description of immiscible two-phase flow in porous media by deriving thermodynamics-like relations and identifying new emergent variables such as co-moving velocity.
This study demonstrates that strategically arranging slip and no-slip wall patterns in straight microchannels can induce secondary swirl flows to significantly enhance convective heat transfer efficiency without increasing hydraulic resistance or requiring additional pumping power.
This paper analytically demonstrates that the formation of finite-time singularities in axisymmetric 3D incompressible Euler flows within a cylinder is determined exclusively by the local geometric flatness of the initial vortex stretching rate near its global minimum, with specific power-law thresholds distinguishing between regular solutions and blowup scenarios depending on the singularity's location.
This paper presents experiments and a parameter-free theoretical model that explain the self-regulating dynamics of solids melting while sliding down heated inclines, successfully predicting terminal velocities across diverse materials and conditions.
This study utilizes volume of fluid simulations to investigate droplet impact on random hydrophobic surfaces, revealing that while maximum spreading decreases linearly with increasing roughness and contact time remains constant, the interplay between Weber number and surface roughness governs wetting-bouncing transitions and delays bouncing with larger roughness.
This study utilizes three-dimensional lattice Boltzmann simulations and scaling analyses to investigate droplet impact on superhydrophobic surfaces under shear airflow, revealing how aerodynamic forces enhance spreading and deflection while establishing refined scaling laws to predict the resulting contact footprint and rebound characteristics.
This paper presents a comprehensive analysis and the first open-source implementation of phase-shifting dealiasing methods for pseudo-spectral simulations of incompressible Navier-Stokes equations, demonstrating that these techniques can achieve up to a threefold speedup over standard 2/3 truncation with minimal accuracy loss.
This paper extends a pressure-gradient sensor from RANS to the IDDES turbulence model to improve boundary-layer separation prediction by reducing eddy viscosity and disabling the elevation term in adverse pressure-gradient regions, resulting in enhanced accuracy for stall onset and post-stall regimes across various airfoils without compromising attached-flow performance.
This paper presents a comprehensive analysis of experimental uncertainties and necessary data corrections for cryogenic Rayleigh-Benard convection experiments in Brno, emphasizing the critical need for rigorous uncertainty quantification to distinguish between genuine transitions to the ultimate turbulent regime and artifacts caused by non-Oberbeck-Boussinesq effects or experimental imperfections.
This study utilizes high-speed imaging to demonstrate that single-winged spinning samaras exhibit significant temporal variations in their kinematic parameters, challenging the traditional assumption of steady-state flight and providing a physically grounded basis for reformulating aerodynamic models with experimentally validated harmonic representations.
This paper proposes VSOPINN, a novel framework that integrates differentiable Voronoi tessellation with Physics-Informed Neural Networks to enable end-to-end optimization of sensor placement, thereby significantly enhancing the accuracy and robustness of high-fidelity flow field reconstruction under sparse measurements and sensor failures.
This paper proposes and optimizes a magnetically driven elastic microswimmer that achieves autonomous, nonreciprocal propulsion through hysteretic collapse of its segments, enabling the simultaneous independent control of multiple microrobots via a single oscillating magnetic field for potential medical applications.
This paper presents a dark fluid model described as a non-viscous, non-relativistic, rotating, and self-gravitating fluid with spherical symmetry and a polytropic equation of state, which is solved using a self-similar time-dependent ansatz to derive new solutions consistent with the Newtonian cosmological framework that can describe the transition from normal matter to dark energy on cosmological scales.
Using high-resolution simulations, this study reveals that kinetic energy dissipation in subsonic turbulence is vorticity-dominated, localized on small scales, and lags energy injection by approximately 1.64 turnover times, whereas supersonic dissipation is density-correlated, spans multiple scales via shocks and vorticity, and lags by only 0.48 turnover times, with distinct fractal structures identified in both regimes.
This study uses 3D simulations of rotating hydrodynamic convection to demonstrate that thermal Rossby waves drive outward radial angular momentum transport at rapid rotation rates, revealing a significant discrepancy between these findings and the assumptions underlying current mean-field theories of solar differential rotation.