Biography
Dr. Fang’s research interests include CFD, high-performance computing, reactor thermal-hydraulics and two-phase flow modeling.
Education:
- Ph.D. North Carolina State University - Nuclear Engineering (Minor in Mech. Eng.), 2016
- M.Eng. North Carolina State University - Nuclear Engineering, 2014
- B.Eng. University of Science and Technology of China - Nuclear Science and Technology, 2012
Publications:
- Fang, J., Shaver, D. R., Min, M., Fischer, P., Lan, Y.-H., Rahaman, R., Romano, P., Benhamadouche, S., Hassan, Y. A., Kraus, A., & Merzari, E. (2021). Feasibility of Full-Core Pin Resolved CFD Simulations of Small Modular Reactor with Momentum Sources. Nuclear Engineering and Design, 378. https://doi.org/10.1016/j.nucengdes.2021.111143
- Fang, J., Purser, M. K., Smith, C., Balakrishnan, R., Bolotnov, I. A., & Jansen, K. E. (2020). Annular Flow Simulation Supported by Iterative In-Memory Mesh Adaptation. Nuclear Science and Engineering, 1–14. https://doi.org/10.1080/00295639.2020.1743577
- Fan, Y., Fang, J., & Bolotnov, I. A. (2020). Complex bubble deformation and break-up dynamics studies using interface capturing approach. Experimental and Computational Multiphase Flow, 3(3), 139–151. https://doi.org/10.1007/s42757-020-0073-3
- Cambareri, J. J., Fang, J., & Bolotnov, I. A. (2020). Interface capturing simulations of bubble population effects in PWR subchannels. Nuclear Engineering and Design, 365, 110709. https://doi.org/10.1016/j.nucengdes.2020.110709
- Chang, C.-W., Fang, J., & Dinh, N. T. (2020). Reynolds-Averaged Turbulence Modeling Using Deep Learning with Local Flow Features: An Empirical Approach. Nuclear Science and Engineering, 1–15. https://doi.org/10.1080/00295639.2020.1712928
- Fang, J., Cambareri, J. J., Li, M., Saini, N., & Bolotnov, I. A. (2020). Interface-Resolved Simulations of Reactor Flows. Nuclear Technology, 206(2), 133–149. https://doi.org/10.1080/00295450.2019.1620056
- Cambareri, J. J., Fang, J., & Bolotnov, I. A. (2020). Simulation scaling studies of reactor core two-phase flow using direct numerical simulation. Nuclear Engineering and Design, 358, 110435. https://doi.org/10.1016/j.nucengdes.2019.110435
- Fang, J., Cambareri, J. J., Rasquin, M., Gouws, A., Balakrishnan, R., Jansen, K. E., & Bolotnov, I. A. (2019). Interface Tracking Investigation of Geometric Effects on the Bubbly Flow in PWR Subchannels. Nuclear Science and Engineering, 193(1–2), 46–62. https://doi.org/10.1080/00295639.2018.1499280
- Fang, J., Cambareri, J. J., Brown, C. S., Feng, J., Gouws, A., Li, M., & Bolotnov, I. A. (2018). Direct numerical simulation of reactor two-phase flows enabled by high-performance computing. Nuclear Engineering and Design, 330, 409–419. https://doi.org/10.1016/j.nucengdes.2018.02.024
- Fang, J., & Bolotnov, I. A. (2017). Bubble tracking analysis of PWR two-phase flow simulations based on the level set method. Nuclear Engineering and Design, 323(Supplement C), 68–77. https://doi.org/10.1016/j.nucengdes.2017.07.034
- Fang, J., Rasquin, M., & Bolotnov, I. A. (2017). Interface tracking simulations of bubbly flows in PWR relevant geometries. Nuclear Engineering and Design, 312(Supplement C), 205–213. https://doi.org/10.1016/j.nucengdes.2016.07.002
- Thomas, A. M., Fang, J., Feng, J., & Bolotnov, I. A. (2015). Estimation of shear-induced lift force in laminar and turbulent flows. Nuclear Technology, 190(3), 274–291. https://doi.org/10.13182/NT14-72