Cheng-Kai Tai

College of Engineering

Works (9)

Updated: September 4th, 2024 05:02

2024 article

High-Fidelity Simulation of the Light-to-Dense Stratification Transient in the HiRJET Facility

Tai, C.-K., Yuan, H., Merzari, E., & Bolotnov, I. A. (2024, August 23). NUCLEAR TECHNOLOGY, Vol. 8.

By: C. Tai n, H. Yuan*, E. Merzari* & I. Bolotnov n

author keywords: Direct numerical simulation; density stratification; jet; buoyant mixing
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: September 3, 2024

2024 journal article

NEAMS IRP challenge problem 1: Flexible modeling for heat transfer for low-to-high Prandtl number fluids for applications in advanced reactors

NUCLEAR ENGINEERING AND DESIGN, 428.

By: I. Bolotnov*, A. Iskhakov*, T. Nguyen*, C. Tai*, R. Wiser, E. Baglietto, N. Dinh*, D. Shaver, E. Merzari

author keywords: Mixed convection; DNS; Turbulence modeling; Turbulent heat transfer; Data driven modeling
Sources: Web Of Science, NC State University Libraries
Added: August 5, 2024

2023 article

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

Iskhakov, A. S., Tai, C.-K., Bolotnov, I. A., Nguyen, T., Merzari, E., Shaver, D. R., & Dinh, N. T. (2023, March 16). NUCLEAR TECHNOLOGY, Vol. 3.

Contributors: A. Iskhakov n, C. Tai n, I. Bolotnov n, T. Nguyen*, E. Merzari*, D. Shaver*, N. Dinh n

author keywords: Machine learning; turbulence modeling; forced convection; low- and high-Prandtl fluids; data-driven modeling
Sources: Web Of Science, ORCID, NC State University Libraries
Added: March 16, 2023

2023 article

Direct Numerical Simulation of Low and Unitary Prandtl Number Fluids in Reactor Downcomer Geometry

Tai, C.-K., Nguyen, T., Iskhakov, A. S., Merzari, E., Dinh, N. T., & Bolotnov, I. A. (2023, June 17). NUCLEAR TECHNOLOGY, Vol. 6.

By: C. Tai n, T. Nguyen*, A. Iskhakov n, E. Merzari*, N. Dinh n & I. Bolotnov n

author keywords: Direct numerical simulation; vertical mixed convection; low-Prandtl-number fluids; downcomer
Sources: Web Of Science, NC State University Libraries
Added: July 3, 2023

2023 article

Study of Stable Stratification in HiRJET Facility With Direct Numerical Simulation

Tai, C.-K., Mao, J., Petrov, V., Manera, A., & Bolotnov, I. A. (2023, June 9). NUCLEAR SCIENCE AND ENGINEERING, Vol. 6.

author keywords: Direct numerical simulation; stable stratification; jet mixing in large enclosure; buoyancy
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: June 26, 2023

2023 article

Toward Improved Correlations for Mixed Convection in the Downcomer of Molten Salt Reactors

Nguyen, T., Merzari, E., Tai, C.-K., Bolotnov, I. A., & Jackson, B. (2023, July 20). NUCLEAR TECHNOLOGY, Vol. 7.

By: T. Nguyen*, E. Merzari*, C. Tai n, I. Bolotnov n & B. Jackson*

author keywords: Direct numerical simulation; FLiBe; NekRS; Nusselt number; correlation; >
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 7, 2023

2023 article

Validation of RANS-Based Turbulence Models Against High-Resolution Experiments and DNS for Buoyancy-Driven Flow with Stratified Fronts

Mao, J., Vishwakarma, V., Welker, Z., Tai, C. K., Bolotnov, I. A., Petrov, V., & Manera, A. (2023, August 10). NUCLEAR SCIENCE AND ENGINEERING, Vol. 8.

author keywords: Stratification; experiments; DNS; CFD RANS; HiRJet; >
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 28, 2023

2022 article

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

Iskhakov, A. S., Tai, C.-K., Bolotnov, I. A., & Dinh, N. T. (2022, September 10). NUCLEAR SCIENCE AND ENGINEERING, Vol. 9.

By: A. Iskhakov n, C. Tai n, I. Bolotnov n & N. Dinh n

Contributors: A. Iskhakov n

author keywords: Data-driven methods; coarse grid modeling; system thermal hydraulics; machine learning; multiscale bridging
TL;DR: An overview of recent applications of DD methods in the areas of fluid dynamics and TH is provided, demonstrating that they are being widely applied for engineering-scale analysis and outlining of potential frameworks for further developments in DD CG modeling of system-level TH. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: September 9, 2022

2022 journal article

Development of machine learning framework for interface force closures based on bubble tracking data

NUCLEAR ENGINEERING AND DESIGN, 399.

By: C. Tai n, I. Evdokimov*, F. Schlegel*, I. Bolotnov n & D. Lucas*

author keywords: Direct numerical simulation; Data-driven modeling; Interfacial force modeling; Machine learning; Eulerian-Eulerian approach
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: November 28, 2022

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