A Turbulent Fluid Mechanics Via Nonlinear Mixing Of Smooth Velocity Flows With Reynolds-Weighted Random Fields

Abstract

We consider a finite-volume domain D⊂R3 of size Vol(D) L3 containing a viscous fluid of kinematic viscosity with velocity field Ua(x,t) satisfying the Navier--Stokes equations with prescribed boundary data. We introduce a zero-centred homogeneous-isotropic Gaussian field B(x) on D with Bargmann--Fock correlation EB(x)B(y)=C(-|x-y|2λ-2), where λ L. For the volume-averaged Reynolds number Re(D,t)=(|Vol(D)|-1∫D|Ua(x,t)|dμ(x))L/, let Rec(D) denote the critical threshold for turbulence. We propose a Reynolds-weighted mixing ansatz for a turbulent velocity field \[Ua(x,t)=Ua(x,t)+α Ua(x,t)(|Re(D,t)-Rec(D)|)IS[Re(D,t)]B(x)\] with α 1, monotone increasing, and IS active only for Re>Rec. The construction preserves the mean flow, EUa(x,t)=Ua(x,t), while allowing turbulence intensity to grow with the control parameter Re. This provides a tentative stochastic closure for Navier--Stokes, enabling Reynolds-type correlations Tab(x,y;t)=EUa(x,t)Ub(y,t) and higher moments. For test functions f and curves ⊂D we define a Hopf-like functional \[H[Ua,t]=E(i∫f(x,t)Ua(x,t)dxa)\] encoding circulation statistics generated by the mixing ansatz.

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