Forecasting small-scale dynamics of fluid turbulence using deep neural networks
Turbulence in fluid flows is characterized by a wide range of interacting scales. Since the
scale range increases as some power of the flow Reynolds number, a faithful simulation of …
scale range increases as some power of the flow Reynolds number, a faithful simulation of …
Vorticity-strain rate dynamics and the smallest scales of turbulence
Building upon the intrinsic properties of Navier-Stokes dynamics, namely the prevalence of
intense vortical structures and the interrelationship between vorticity and strain rate, we …
intense vortical structures and the interrelationship between vorticity and strain rate, we …
Generation of intense dissipation in high Reynolds number turbulence
Intense fluctuations of energy dissipation rate in turbulent flows result from the self-
amplification of strain rate via a quadratic nonlinearity, with contributions from vorticity (via …
amplification of strain rate via a quadratic nonlinearity, with contributions from vorticity (via …
Intermittency of turbulent velocity and scalar fields using three-dimensional local averaging
An efficient approach for extracting three-dimensional local averages in spherical
subdomains is proposed and applied to study the intermittency of small-scale velocity and …
subdomains is proposed and applied to study the intermittency of small-scale velocity and …
On the interaction of turbulence with nucleation and growth in reaction crystallisation
The objective of this work is to investigate the interaction of turbulence with the nonlinear
processes of particle nucleation and growth that occur in reaction crystallisation, also known …
processes of particle nucleation and growth that occur in reaction crystallisation, also known …
Turbulence is an ineffective mixer when Schmidt numbers are large
We solve the advection-diffusion equation for a stochastically stationary passive scalar θ, in
conjunction with forced 3D Navier-Stokes equations, using direct numerical simulations in …
conjunction with forced 3D Navier-Stokes equations, using direct numerical simulations in …
Role of pressure in the dynamics of intense velocity gradients in turbulent flows
We investigate the role of pressure, via its Hessian tensor ${\boldsymbol {H}} $, on
amplification of vorticity and strain-rate and contrast it with other inviscid nonlinear …
amplification of vorticity and strain-rate and contrast it with other inviscid nonlinear …
High-fidelity reconstruction of large-area damaged turbulent fields with a physically constrained generative adversarial network
The reconstruction of incomplete information in flow fields is a pervasive challenge in
numerous turbulence-related applications. This paper proposes a framework for the high …
numerous turbulence-related applications. This paper proposes a framework for the high …
A non-local spectral transfer model and new scaling law for scalar turbulence
A Akhavan-Safaei, M Zayernouri - Journal of Fluid Mechanics, 2023 - cambridge.org
In this study, we revisit the spectral transfer model for the turbulent intensity in passive scalar
transport (under large-scale anisotropic forcing), and a subsequent modification to the …
transport (under large-scale anisotropic forcing), and a subsequent modification to the …
[HTML][HTML] On the effect of turbulent fluctuations on precipitation: A direct numerical simulation–population balance study
The objective of the present paper is to investigate the effect of turbulent fluctuations on
precipitation and the implications for modelling. To this end, a coupled direct numerical …
precipitation and the implications for modelling. To this end, a coupled direct numerical …