Spatial-Carrier-Modulated Turbulence Constructive Solution for NS Equation

We present the Spatial-Carrier-Modulated Turbulence Constructive Solution (SCM-Turb), which views a turbulent field as a three-dimensional random carrier folded in space and locally modulated by inertia. An incompressible random background flow U(x,t) serves as the carrier; the nonlinear term |(U•∇)U| acts as the gating signal that triggers sparse fractal bursts (fractional Brownian noise, H<0.5) via a Sigmoid switch. A Reynolds-number-saturated gain (≤30%) controls the global modulation depth. The resulting synthetic fields reproduce the k^(-5/3) energy spectrum, coherent vortices, intermittency, and heavy-tailed gradient distributions at a computational cost orders of magnitude lower than DNS. SCM-Turb offers a ready-to-use turbulent prior for data-hungry applications and engineering closure development.

Authors

Publication Details

Published
2025-09-25
DOI
https://doi.org/10.36227/techrxiv.175877848.80598219/v1
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial-Carrier-Modulated Turbulence Constructive Solution for NS Equation

Hongtao Ling
Meteorological Phenomena and Simulations
article

Spatial-Carrier-Modulated Turbulence Constructive Solution for NS Equation

Hongtao Ling
article en

Abstract

We present the Spatial-Carrier-Modulated Turbulence Constructive Solution (SCM-Turb), which views a turbulent field as a three-dimensional random carrier folded in space and locally modulated by inertia. An incompressible random background flow U(x,t) serves as the carrier; the nonlinear term |(U•∇)U| acts as the gating signal that triggers sparse fractal bursts (fractional Brownian noise, H<0.5) via a Sigmoid switch. A Reynolds-number-saturated gain (≤30%) controls the global modulation depth. The resulting synthetic fields reproduce the k^(-5/3) energy spectrum, coherent vortices, intermittency, and heavy-tailed gradient distributions at a computational cost orders of magnitude lower than DNS. SCM-Turb offers a ready-to-use turbulent prior for data-hungry applications and engineering closure development.

Openalex Percentile: Top 69%
Meteorological Phenomena and Simulations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.