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Heeseok Koo

Researcher at University of Texas at Austin

Publications -  26
Citations -  359

Heeseok Koo is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Large eddy simulation & Nyström method. The author has an hindex of 8, co-authored 26 publications receiving 323 citations. Previous affiliations of Heeseok Koo include Seoul National University.

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A quadrature-based LES/transported probability density function approach for modeling supersonic combustion

TL;DR: In this article, a new Eulerian approach called the direct quadrature method of moments (DQMOM) is developed for evolving the PDF-based supersonic combustion model.
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Large-eddy simulation of a supersonic inlet-isolator

TL;DR: In this article, a conservative finitedifference-based large-eddy-simulation approach incorporating immersed-boundary methodology has been developed for the purpose of predicting inlet unstart in a dual-mode scramjet engine.
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A multivariate quadrature based moment method for LES based modeling of supersonic combustion

TL;DR: It is first demonstrated that the numerical errors associated with LES require special care in the development of PDF solution algorithms, and a semi-discrete quadrature method of moments (SeQMOM) is formulated.
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Direct numerical simulation of supersonic combustion with thermal nonequilibrium

TL;DR: In this paper, the impact of thermal nonequilibrium on flame structure in a supersonic flow was investigated in a two-temperature model along with detailed chemical kinetics.
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LES-based Eulerian PDF approach for the simulation of scramjet combustors

TL;DR: In this paper, a probability density function (PDF) approach to account for turbulence-chemistry interaction in the context of large eddy simulation (LES) based simulation of scramjets is developed.