1229 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 study presents a hydrodynamic model demonstrating that premixed flames in Hele-Shaw cells and porous media under Darcy's law exhibit unique dynamics characterized by distinct Markstein numbers for curvature, tangential strain, and gravity, where viscosity-driven tangential velocity discontinuities fundamentally alter flame stability and instability mechanisms compared to conventional combustion.
This paper presents a novel high-order gas-kinetic scheme integrated with the actuator line model and immersed boundary method on GPUs to accurately simulate three-dimensional wind turbine flows, including nacelle and tower effects, while validating its ability to capture complex wake interactions and turbulent statistics against experimental data.
This paper investigates whether the recently proposed ensemble eddy viscosity approach, which derives turbulent viscosity parameters directly from ensembles of Navier-Stokes solutions with perturbed data, suffers from the over-diffusion issues commonly found in classical eddy viscosity models when applied to shear flows.
This paper presents an integrated machine learning framework that combines a Klinkenberg-enhanced constitutive relation with a Hopf-Cole-transformed linear system and a Deep Least-Squares solver to accurately model nonlinear gas flow in porous media and efficiently estimate pressure-dependent permeability and slippage parameters.
This paper extends the Irreversible Port-Hamiltonian Systems (IPHS) framework to model non-isentropic fluids with viscous dissipation in both Eulerian and Lagrangian coordinates by adapting differential operators for convective transport and defining boundary controls that satisfy the first and second laws of thermodynamics.
This paper proposes an Angular Momentum Integral (AMI) based diagnostics framework to systematically isolate and quantify physical mechanism-specific errors in turbulence models, revealing that while standard Reynolds-averaged Navier-Stokes (RANS) models may accurately predict skin friction through strong error cancellation in simple flows, they exhibit significant, non-canceling errors in complex separated flows that require mechanism-resolved analysis for targeted improvement.
This paper presents the first direct numerical simulations resolving the complete laminar-to-turbulent transition in Herschel-Bulkley yield-stress fluids across pipes and channels, revealing that transition occurs only when local Reynolds stresses exceed the yield stress and identifying a critical generalized Reynolds number range of approximately 2000 to 3000 where turbulence sharply emerges.
This paper investigates Rayleigh-Taylor unstable flames through large-scale Boussinesq model simulations and direct measurements, revealing that while self-generated turbulence can thicken these flames, their internal structure remains distinct from classical turbulent flames, thereby highlighting the need for specialized subgrid models in practical applications.
This study utilizes numerical simulations to characterize the deformation and breakup dynamics of shear-thinning viscoelastic drops in steady electric fields, revealing that while behavior in certain parameter regions resembles Newtonian fluids, others exhibit complex non-monotonic responses to elasticity and distinct shape transitions like multi-lobed or conical formations depending on conductivity and permittivity ratios.
This paper generalizes a first-principles closure from the th-order structure function to the -point velocity increment Hopf equation, enabling the analytical derivation of multipoint turbulent statistics such as the 3-point structure function transition, which shows promising agreement with DNS data.