Constrained Packing Dynamics (CPD) in Supersonic Flows and Supersonic Turbulence

We extend the Constrained Packing Dynamics (CPD) framework to supersonicfluid regimes, analyzing the origin, suppression, and excitation of turbulence underextreme compressibility. By mapping the CPD triad—Flux (Q), Curvature(C), and Packing (P)—onto high-Mach flows, we identify how shocks and compressibilityact as effective energy sinks, locally suppressing turbulence, while specificgeometries and flow instabilities allow supersonic turbulence to emerge. Thisapproach provides a predictive, physically grounded understanding of turbulencebeyond classical Reynolds-number-based descriptions.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-23
DOI
https://doi.org/10.5281/zenodo.18030250
Primary Topic
Fluid Dynamics and Turbulent Flows
Type
article
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article

Constrained Packing Dynamics (CPD) in Supersonic Flows and Supersonic Turbulence

Andrew Pasternak
Zenodo (CERN European Organization for Nuclear Research)
Fluid Dynamics and Turbulent Flows
article

Constrained Packing Dynamics (CPD) in Supersonic Flows and Supersonic Turbulence

Andrew Pasternak
article en

Abstract

We extend the Constrained Packing Dynamics (CPD) framework to supersonicfluid regimes, analyzing the origin, suppression, and excitation of turbulence underextreme compressibility. By mapping the CPD triad—Flux (Q), Curvature(C), and Packing (P)—onto high-Mach flows, we identify how shocks and compressibilityact as effective energy sinks, locally suppressing turbulence, while specificgeometries and flow instabilities allow supersonic turbulence to emerge. Thisapproach provides a predictive, physically grounded understanding of turbulencebeyond classical Reynolds-number-based descriptions.

Zenodo (CERN European Organization for Nuclear Research)
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Constrained Packing Dynamics (CPD) in Supersonic Flows and Supersonic Turbulence — Andrew Pasternak · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS