1274 papers
Fluid dynamics explores how liquids and gases move, shaping everything from weather patterns to the flow of blood through our veins. This field bridges the gap between abstract mathematical equations and the tangible forces that drive our physical world, offering insights into turbulence, aerodynamics, and fluid behavior in complex environments.
On Gist.Science, we process every new preprint in this category directly from arXiv to make cutting-edge research accessible to everyone. Each paper is transformed into a clear, plain-language overview alongside a detailed technical summary, ensuring both students and experts can grasp the latest findings without getting lost in dense jargon.
Below, you will find the most recent studies in fluid dynamics, curated and explained for a broader audience.
This paper analyzes the weaker K-condition for acceleration waves in viscoelastic solids and non-Newtonian fluids, demonstrating that the condition is always satisfied for viscoelastic models with linear dissipation but depends on the power-law index for fluids, holding for Newtonian cases while failing for shear-thinning fluids.
This paper presents a new hyperbolic model for immiscible two-layer gas-liquid stratified flows in pipes with general cross sections, combining a hydrostatic shallow water approximation for the liquid and an ideal gas law for the compressible gas, while analyzing its mathematical properties and validating the model through numerical tests that demonstrate its robustness across various density ratios.
Through extensive direct numerical simulations of decaying turbulence with initial Birkhoff-Saffman and Loitsianskii-Kolmogorov-Batchelor spectra, the study confirms non-universal power-law energy decay and highlights the significant influence of boundary effects on the observed universality, while showing strong agreement with Migdal's theoretical predictions for the Birkhoff-Saffman case.
This paper presents analytical solutions for viscous flows in an evaporating hemispherical droplet under both no-slip and full-slip boundary conditions, revealing a rigid relationship between evaporation and surface tension gradients that redefines the critical Marangoni number and highlights the sensitivity of flow regimes to liquid-substrate interactions.
This paper presents the first direct measurement of the nanoscale electroviscous lift force on a charged particle moving near a charged wall using Atomic Force Microscopy, revealing a velocity-dependent saturation effect and establishing a new analytical model that resolves discrepancies with existing theories.
This study quantitatively compares rheoscopic visualizations and particle image velocimetry (PIV) in a Couette-Poiseuille experiment to demonstrate that while PIV reveals distinct decay times for different velocity components, the single decay time inferred from rheoscopic visualization of the turbulent fraction corresponds specifically to the decay of streamwise streaks.
This study utilizes direct numerical simulations and theoretical analysis to demonstrate that realistic no-slip end-wall boundary conditions in Taylor-Couette flow induce multiple stable states with pronounced hysteresis, distinct transition sequences, and altered angular momentum transport compared to periodic conditions.
This paper proposes two simple and practical numerical enhancements for modeling insoluble surfactants in two-phase flows using the diffuse-interface method, which improve accuracy without increasing computational cost and include a new challenging benchmark case for future method evaluation.
Through direct numerical simulations of two-dimensional isothermal compressible turbulence, this study reveals that while pair-dispersion halving-time statistics exhibit universal multifractal scaling, doubling-time statistics are non-universal and depend on the nature of the stirring force and Mach number, with significant implications for astrophysical gas transport and mixing.
Through three-dimensional direct numerical simulations, this study demonstrates that forced, stably stratified shear flows evolve into a statistically steady state where the shear layer converges to a finite depth and self-organizes into large-scale anisotropic structures, ultimately tuning the gradient Richardson number to a value below 0.2.