1169 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 establishes a rigorous mathematical solution theory for the evolution of an inextensible, closed elastic filament immersed in a 3D Stokes fluid, governed by Euler-Bernoulli beam theory and coupled via the slender body Neumann-to-Dirichlet map, thereby providing a foundational justification for widely used computational models of slender body dynamics.
This study utilizes enhanced delayed detached-eddy simulations to demonstrate that discontinuous ice on swept wings causes more severe lift reduction than continuous ice by disrupting leading-edge vortex formation through gap jets, while simultaneously preventing sudden stall and introducing distinct flow oscillation patterns characterized by specific Strouhal numbers.
This paper demonstrates that reliable airfoil shape identification from wake signatures requires turbulence-closure consistency, as single-condition inversions are ill-posed and model inconsistencies can cause divergent geometric predictions and up to 250% variation in sensitivities, necessitating that turbulence models prioritize physically consistent sensitivities alongside accuracy.
This study demonstrates that for small 3D ducts with negligible viscous effects, realistic sheared grazing flow profiles can be accurately approximated by uniform or one-dimensional flow models in acoustic impedance eduction, provided the bulk Mach number is correctly accounted for, thereby validating traditional eduction methods contrary to previous findings based on simplistic profiles.
This experimental study reveals that underwater turbulence can significantly amplify or attenuate acoustic waves (by over 60%) at frequencies far exceeding turbulent fluctuations without causing spectral broadening, a phenomenon that cannot be explained by conventional mechanisms like scattering or viscous dissipation and suggests a new, incompletely understood interaction mechanism.
This paper proposes a reduced-order, physics-informed dynamical model for extrusion-based 3D printing that balances high fidelity with computational efficiency, demonstrating strong agreement with CFD simulations while remaining suitable for real-time optimization and control.
Flow Gym is a JAX-based framework designed to unify the development, benchmarking, training, and deployment of particle image velocimetry (PIV) and optical-flow methods through a standardized interface that enhances reproducibility and bridges the gap between research and experimental applications.
This study utilizes in situ cryo-confocal fluorescence microscopy to elucidate the coupled dynamics of gas bubble nucleation, growth, and entrapment at the solidification front of carbonated water, revealing how these processes depend on solidification velocity and gas diffusion to establish critical conditions for bubble formation.
This paper proposes a novel two-stage stochastic programming framework that integrates FLORIS-based wake modeling and wake steering to optimize wind farm energy and reserve scheduling, demonstrating significant revenue gains and reduced imbalance penalties compared to conventional methods that neglect wake interactions.
This paper proposes a Helmholtz decomposition-based framework to model arbitrary-shaped microswimmers, deriving their helical trajectories and rigid-body velocities while identifying optimal slip profiles that minimize power loss through a combination of partial and global optimization.