133 papers
This paper proposes new Van Driest-type and semi-local-type temperature transformations for compressible turbulent channel flow, derived from momentum and energy balance analyses, which successfully recover the incompressible law of the wall with high accuracy by accounting for mixing length effects, body force work, and turbulent kinetic energy flux.
This study reveals that the rupture of micron-thick liquid films is governed by a deterministic double-threshold mechanism requiring both sufficient outward driving force and cavity distortion, which explains why these films perforate despite molecular forces being negligible at that scale.
This paper presents a quadrature-based model reduction framework for Lagrangian hydrodynamics that utilizes a strongly energy-conservative variant of the empirical quadrature procedure to achieve near machine-precision total energy conservation while maintaining accuracy comparable to standard methods.
This study introduces a factorized-implicit Fourier Neural Operator (F-IFNO) framework that enhances long-term stability and accuracy in predicting three-dimensional turbulence by integrating uncertainty quantification and error propagation analysis to overcome the limitations of traditional models and existing neural operators.
This paper identifies and characterizes two previously elusive families of core-bound excitations (varicose and fluting waves) on Gross-Pitaevskii vortices, detailing their dispersion relations across different wavelength limits and proposing a spectroscopic protocol for their experimental detection.
This paper reviews a collisional -model for vertically vibrated confined granular fluids, deriving hydrodynamic equations via kinetic theory that predict stable homogeneous states, energy nonequipartition in mixtures, and the violation of Onsager reciprocity, with theoretical results showing strong agreement with numerical simulations.
This paper demonstrates that the common practice of maintaining a constant mean radius in wavy-walled tube models inadvertently increases interior volume, leading to significant discrepancies (up to 50%) in flow rate and hydraulic resistance compared to constant-volume models for both steady and peristaltic viscous flows, and provides a scaling law to relate these two cases.
This study presents a grid-agnostic volume of fluid method for compressible multiphase flows that employs an ant-diffusive volumetric body force for interface sharpening and surface tension modeling, demonstrating accurate validation against analytical solutions and experimental data across various flow regimes.
This paper presents a non-intrusive, multi-fidelity reduced-order modeling framework that utilizes Optimal Transport-based displacement interpolation to efficiently correct low-fidelity models and construct accurate parametric surrogates for complex, nonlinear two-phase flow simulations.
This study evaluates the performance of an analytical-numerical coupled model (ANCM) for droplet impacts on soft materials, revealing that while the model remains accurate for surfaces with a Young's modulus of 47,400 Pa or higher, it significantly overestimates impact forces and deformation for softer materials below a critical threshold of 10,000 Pa due to its rigid-surface assumption.
This study presents an analytical-numerical coupled model that combines a closed-form analytical solution for droplet impact pressure with finite-element simulations of solid response, achieving over 97% computational cost reduction compared to traditional SPH methods while accurately predicting erosion-relevant quantities like peak pressure and impact force.
This study demonstrates that consistently linearizing the eddy-viscosity turbulence model is essential for accurately capturing shape sensitivities of hydro-turbine vortex ropes, as neglecting these perturbations leads to incorrect sensitivity trends despite having minimal impact on the global mode's eigenvalues and eigenmodes.
This study utilizes high-fidelity direct numerical simulations to demonstrate that increasing inlet Mach numbers in a low-pressure turbine cascade systematically reduces separation bubble sizes and accelerates transition to turbulence, yet paradoxically increases profile losses by altering the transition pathway from spanwise rolls to streak-dominated bypass mechanisms.
This study utilizes validated Large-eddy simulations to investigate how shock waves interact with abrupt and smooth constrictions in conduits, revealing distinct dependencies on blockage ratio and constriction length that lead to the development of semi-empirical models for predicting reflected and transmitted shock strengths.
This paper introduces SMARL, a reinforcement learning framework that uses enstrophy spectrum-based rewards to develop stable, data-efficient subgrid-scale closures for geophysical turbulence, enabling accurate prediction of extreme events with significantly reduced computational costs.
This paper presents a generative framework combining a -variational autoencoder with a transformer-based diffusion model to achieve high-compression, real-time probabilistic reconstruction and data assimilation of wall-bounded turbulent flows, demonstrating the ability to reproduce complex statistical properties while highlighting the inherent trade-off between enforcing statistical constraints and preserving physical fidelity.
This paper introduces a novel, low-cost, data-driven framework using Vector Quantization Principal Component Analysis (VQPCA) to identify structural sensitivity zones and dominant flow patterns in fluid dynamics, successfully validating the method on cylinder wakes and synthetic jets to enable effective flow control strategies without relying on adjoint methods.
This paper presents fast, linear-time solvers for the Reynolds equation on piecewise linear geometries using Schur complement inversion, which achieve second-order accuracy for non-linear heights and are validated by comparing their solutions against the Stokes equation to assess the limits of lubrication theory.
This paper presents a method to fabricate tunable, centimetric elastic capsules that function as macroscopic "elasto-drops" with adjustable effective surface tension, demonstrating that their dynamics are governed primarily by hoop stress rather than bending stiffness.
This paper demonstrates that the phase separation dynamics of multicomponent fluid mixtures are fundamentally governed by topological constraints analogous to mathematical coloring problems, which in confined geometries can arrest hydrodynamic coalescence and lead to universal coarsening behavior.