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Akira Yoshizawa

Researcher at University of Tokyo

Publications -  129
Citations -  3660

Akira Yoshizawa is an academic researcher from University of Tokyo. The author has contributed to research in topics: Turbulence & Reynolds stress. The author has an hindex of 28, co-authored 129 publications receiving 3443 citations.

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Statistical theory for compressible turbulent shear flows, with the application to subgrid modeling

Akira Yoshizawa
- 01 Jul 1986 - 
TL;DR: In this paper, a statistical theory for compressible turbulent shear flows subject to buoyancy effects is developed, and important correlation functions in compressible shear flow are calculated with the aid of a multiscale direct-interaction approximation.
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A Statistically-Derived Subgrid-Scale Kinetic Energy Model for the Large-Eddy Simulation of Turbulent Flows

TL;DR: In this paper, a subgrid-scale (SGS) kinetic energy model for the large-eddy simulation (LES) of turbulent flows is constructed with the aid of the statistical results obtained from the two-scale direct-interaction approximation.
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Statistical analysis of the deviation of the Reynolds stress from its eddy‐viscosity representation

Akira Yoshizawa
- 01 Jun 1984 - 
TL;DR: In this paper, an improvement of the eddy-viscosity representation for Reynolds stress was made from the statistical viewpoint, which theoretically elucidates the non-incidence of the zeros of Reynolds stress and mean strain, which is frequently observed in asymmetric turbulent shear flows.
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Self-consistent turbulent dynamo modeling of reversed field pinches and planetary magnetic fields

TL;DR: In this paper, a self-consistent dynamo model is proposed to model the cross-helicity effect of fusion plasma and planetary magnetic fields. But the model is restricted to the case of vanishing cross helicity.
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Turbulent channel and Couette flows using an anisotropic k-epsilon model

TL;DR: In this paper, the authors used an anisotropic A>e model for the Reynolds stress of Couette flows and showed that the results were in good agreement with experimental data and numerical results from large-eddy simulation.