Data-Driven RANS Turbulence Closures for Forced Convection Flow in Reactor Downcomer Geometry-Reference-Cited by-同舟云学术

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Data-Driven RANS Turbulence Closures for Forced Convection Flow in Reactor Downcomer Geometry

Published:2023-03-15 Issue: Volume: Page:1-18
ISSN:0029-5450
Container-title:Nuclear Technology
language:en
Short-container-title:Nuclear Technology

Author:

Iskhakov Arsen S.¹^ORCID,Tai Cheng-Kai¹^ORCID,Bolotnov Igor A.¹^ORCID,Nguyen Tri²,Merzari Elia²,Shaver Dillon R.³^ORCID,Dinh Nam T.¹^ORCID

Affiliation:

1. North Carolina State University, Department of Nuclear Engineering, Raleigh, North Carolina

2. Penn State University, Department of Nuclear Engineering, State College, Pennsylvania

3. Argonne National Laboratory, Nuclear Science and Engineering Division, Lemont, Illinois

Publisher

Informa UK Limited

Subject

Condensed Matter Physics,Nuclear Energy and Engineering,Nuclear and High Energy Physics

Link

https://www.tandfonline.com/doi/pdf/10.1080/00295450.2023.2185056

Reference38 articles.

1. The numerical computation of turbulent flows

2. Application of a new K-tau model to near wall turbulent flows

3. Quantification of model uncertainty in RANS simulations: A review

4. A Perspective on Data-Driven Coarse Grid Modeling for System Level Thermal Hydraulics

5. Discovering governing equations from data by sparse identification of nonlinear dynamical systems

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