Stochastic model of the conditional acceleration of a fluid particle in developed turbulence
A. K. Aringazin, M. I. Mazhitov
Abstract
The random intensity of noise approach to 1D Laval-Dubrulle-Nazarenko model is used to describe Lagrangian acceleration of a fluid particle in developed turbulence. Intensities of noises entering nonlinear Langevin equation are assumed to depend on random velocity fluctuations in an exponential way. The conditional acceleration PDF, variance, and mean are found to be in a good qualitative agreement with the recent high-Re Lagrangian experimental data.
Create a lesson
Related papers
Typical number and stability of equilibria in large non-reciprocal complex systems
Bertrand Lacroix-A-Chez-Toine, Pierre Le Doussal, Valentina Ros
Thermodynamic geometry of three coupled Ising spins: exact curvature, frustration and bond anisotropy
Zahra Ebadi, Nayyere Einali Saghavaz, Omid Yahyayi Monem et al.
Galois conjugation, droplet growth, and the differential transcendence of the Ising model in nonzero field
Ran Luo, Jiahua Tian
Masked diffusion as random sequential adsorption: an exactly solvable model for parallel decoding
Adrian Baule
Emergent Symmetry in Constant-Density Flocks
Hugues Chaté, Alexandre Solon
Solvable macroscopic models for populations of type I excitability neurons with Gaussian noise
Maria V. Ageeva, Denis S. Goldobin