Fluid-Dynamic Topological Nodes: Modeling Anisotropic Shear Stress and Symmetry Breaking within Tetrahedral Frameworks

*Updated bibliography reference [5] Contemporary field theory encounters fundamental limitations in the stochastic modeling of local field concentrations and the generation of rest mass. This paper presents a deterministic paradigm shift by describing hadronic confinement as an emergent artifact of dimensional frustration during a symmetry transition within a dissipative analog model. Utilizing a finite element simulation on a discrete grid, we investigate the behavior of an elastic matrix under continuous compression pressure, where energy dissipation is asynchronously regulated by a retrograde phase operator. Numerical analyses demonstrate a precise saddle-node bifurcation at the critical density threshold. Upon reaching this limit, the flat, two-dimensional geometry buckles and collapses via a fractal stress cascade into a circular attractor at the Carrollian UV limit. Within this energetic event horizon, the system necessarily crystallizes into exactly four unyielding anchor points - the holographic 2D projection of a three-dimensional topological tetrahedron. This topological snap-in numerically proves that dissipative media under dimensional pressure do not distribute stochastically, but rather fold into localized, macroscopic analog nodes exhibiting solid-state mechanical properties. Consequently, the present work establishes the mathematical and hydrodynamic foundation to render abstract quantum geometry empirically testable in the form of standing vortex knots within macroscopic analog resonance chambers.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-09
DOI
https://doi.org/10.5281/zenodo.20615841
Primary Topic
High-Energy Particle Collisions Research
Type
preprint
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preprint

Fluid-Dynamic Topological Nodes: Modeling Anisotropic Shear Stress and Symmetry Breaking within Tetrahedral Frameworks

Frank Sutter
Zenodo (CERN European Organization for Nuclear Research)
High-Energy Particle Collisions Research
preprint

Fluid-Dynamic Topological Nodes: Modeling Anisotropic Shear Stress and Symmetry Breaking within Tetrahedral Frameworks

Frank Sutter
preprint en

Abstract

*Updated bibliography reference [5] Contemporary field theory encounters fundamental limitations in the stochastic modeling of local field concentrations and the generation of rest mass. This paper presents a deterministic paradigm shift by describing hadronic confinement as an emergent artifact of dimensional frustration during a symmetry transition within a dissipative analog model. Utilizing a finite element simulation on a discrete grid, we investigate the behavior of an elastic matrix under continuous compression pressure, where energy dissipation is asynchronously regulated by a retrograde phase operator. Numerical analyses demonstrate a precise saddle-node bifurcation at the critical density threshold. Upon reaching this limit, the flat, two-dimensional geometry buckles and collapses via a fractal stress cascade into a circular attractor at the Carrollian UV limit. Within this energetic event horizon, the system necessarily crystallizes into exactly four unyielding anchor points - the holographic 2D projection of a three-dimensional topological tetrahedron. This topological snap-in numerically proves that dissipative media under dimensional pressure do not distribute stochastically, but rather fold into localized, macroscopic analog nodes exhibiting solid-state mechanical properties. Consequently, the present work establishes the mathematical and hydrodynamic foundation to render abstract quantum geometry empirically testable in the form of standing vortex knots within macroscopic analog resonance chambers.

Zenodo (CERN European Organization for Nuclear Research)
High-Energy Particle Collisions Research
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Fluid-Dynamic Topological Nodes: Modeling Anisotropic Shear Stress and Symmetry Breaking within Tetrahedral Frameworks — Frank Sutter · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS