Zobrazeno 1 - 10
of 168
pro vyhledávání: '"76F55"'
Autor:
Das, Arijit, Tran, Minh-Binh
This article introduces a novel numerical approach for studying fully nonlinear coagulation-fragmentation models, where both the coagulation and fragmentation components of the collision operator are nonlinear. The model approximates the $3-$wave kin
Externí odkaz:
http://arxiv.org/abs/2412.05402
The distribution functions of field fluctuations of the turbulent mixing layer produced by a Rayleigh-Taylor instability (RTI) have long been hypothesized to involve bimodal effects. The present work reviews existing quantitative and qualitative evid
Externí odkaz:
http://arxiv.org/abs/2411.16436
This work investigates a passive vector field which is transported and stretched by a divergence-free Gaussian velocity field, delta-correlated in time and poorly correlated in space (spatially nonsmooth). Although the advection of a scalar field (Kr
Externí odkaz:
http://arxiv.org/abs/2411.09482
Autor:
Ephrati, Sagy
A framework for deriving probabilistic data-driven closure models is proposed for coarse-grained numerical simulations of turbulence in statistically stationary state. The approach unites the ideal large-eddy simulation model and data assimilation me
Externí odkaz:
http://arxiv.org/abs/2408.14838
We consider the advection of a passive scalar by a divergence free random Gaussian field, white in time and H\"older regular in space (rough Kraichnan's model), a well established synthetic model of passive scalar turbulence. By studying the evolutio
Externí odkaz:
http://arxiv.org/abs/2407.16668
We show that, in one spatial and arbitrary jump dimension, the averaged solution of a Marcustype SPDE with pure jump L\'evy transport noise satisfies a dissipative deterministic equation involving a fractional Laplace-type operator. To this end, we i
Externí odkaz:
http://arxiv.org/abs/2402.08461
In this article, we develop and analyze a Gaussian random field model for the reconstruction of inhomogeneous turbulence from characteristic flow quantities provided by $k$-$\varepsilon$ simulations. The model is based on stochastic integrals that co
Externí odkaz:
http://arxiv.org/abs/2311.09893
Publikováno v:
Journal of Fluid Mechanics. 2023;975:A35
A data-driven turbulence model for coarse-grained numerical simulations of two-dimensional Rayleigh-B\'enard convection is proposed. The model starts from high-fidelity data and is based on adjusting the Fourier coefficients of the numerical solution
Externí odkaz:
http://arxiv.org/abs/2305.10043
Autor:
Chen, David, Cheng, Yu, Chong, Carsten, Gentine, Pierre, Jia, Wangdong, Monier, Bryce, Shen, Shiyang
In this article, we consider the problem of estimating fractional processes based on noisy high-frequency data. Generalizing the idea of pre-averaging to a fractional setting, we exhibit a sequence of consistent estimators for the unknown parameters
Externí odkaz:
http://arxiv.org/abs/2212.00867
Publikováno v:
Phys. Rev. E, 106, L023101 (2022)
The small-scale statistical properties of velocity circulation in classical homogeneous and isotropic turbulent flows are assessed through a modeling framework that brings together the multiplicative cascade and the structural descriptions of turbule
Externí odkaz:
http://arxiv.org/abs/2205.10470