Generalized Fractal Dimension for a Dissipative Multi-fractal Cascade Model for Fully Developed Turbulence
Bhimsen Shivamoggi, Michael Undieme, Zoe Barbeau, and Angela Colbert

TL;DR
This paper introduces a new approach to calculating the generalized fractal dimension in turbulent energy dissipation fields, addressing singularities caused by dissipation and proposing a phenomenological model with dissipative parameters.
Contribution
It proposes a novel ansatz for the generalized fractal dimension that incorporates dissipation effects, resolving singularities in the inertial range of turbulence models.
Findings
The new ansatz removes singularities at q=1 in the GFD.
Dissipative parameters cause a steeper inertial range energy spectrum.
The model generalizes to include symmetric dissipation effects.
Abstract
In this paper (Shivamoggi et al.), we explore a variant for the simple model based on a binomial multiplicative process of Meneveau and Sreenivasan that mimics the multi-fractal nature of the energy dissipation field in the inertial range of fully developed turbulence (FDT), and uses the generalized fractal dimension (GFD) prescription of Hentschel and Proccacia, Halsey et al. However, the presence of an even infinitesimal dissipation in the inertial range is shown to lead to a singularity in the GFD (at ) of the energy dissipation field and leads to a breakdown of the Meneveau-Sreenivasan binomial multiplicative formulation for a dissipative inertial cascade. The purpose of this paper is to demonstrate that this can be resolved by introducing a new appropriate ansatz for the definition of the GFD to incorporate the effect of a scale-invariant dissipation via a…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Computational Physics and Python Applications · Financial Risk and Volatility Modeling
