Igor Bolotnov

Associate Professor of Nuclear Engineering, Joint Faculty Appointment with ORNL, ABET Coordinator

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  • Burlington Laboratory 2142
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Dr. Bolotnov holds a joint faculty appointment with Oak Ridge National Laboratory. He is a member of CASL, the DOE-funded energy innovation hub. He is also a member of Thermal Hydraulics Methods focus area, where he collaborates with his colleagues from ORNL, LANL, MIT and TAMU to develop a new generation of multiphase boiling flow models based new experimental and direct numerical simulation data.  His research includes:

Using multiscale approach for nuclear reactors simulations The required technological and safety standards for future Gen-IV Reactors can only be achieved if advanced simulation capabilities become available, which combine high performance computing with the necessary level of modeling detail and high accuracy of predictions. Interaction between different numerical codes working on various scales (DNS, RaNS, solid/structure interaction) on different parts of multiphase three-dimensional transient problem (such as nuclear reactor accident scenario) gives the ability to develop new multiscale multi-field models and simulations in various areas of nuclear engineering.

Development of new spectral cascade transfer multiphase flow turbulence models The modeling of multiphase flows has wide range of applications in the fields of nuclear, chemical, biomedical engineering. Recent advances in the development of single and two-phase spectral turbulent models show promising results in extending those models to more complex type of two-phase bubbly flows (such as non-homogeneous conduit flows, boundary layer flows, free shear flows) and multi-component flows. The new generation of the advanced turbulence two-phase flow models will provide unprecedented abilities in designing new generation of safe and powerful nuclear power plants.

Direct numerical simulation of single and multiphase turbulent flows DNS approach recently became an affordable tool in obtaining multiphase turbulence data for testing and validation of the new spectral turbulence models. Performing the DNS of multiphase flows using a state of the art massively parallel finite element based code (PHASTA) provides a unique opportunity to contribute to the development of new closure laws necessary for successful application of computational multiphase fluid dynamics in nuclear reactor thermal-hydraulics analysis.


Ph.D. 2008

Engineering Physics

Rensselaer Polytechnic Institute

M.S. 2003

Engineering Physics

Rensselaer Polytechnic Institute

B.S. 2001

Applied Mathematics and Informatics

Bashkir State University, Russia

Research Description

Dr. Bolotnov is interested in using multiscale approaches for nuclear reactor simulations, development of new spectral cascade transfer multiphase flow turbulence models, and direct numerical simulation of single and multiphase turbulent flows.


Development of a New Contact Angle Control Algorithm for Level-Set Method
Li, M., Zeng, K., Wonnell, L., & Bolotnov, I. A. (2019), JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME, 141(6). https://doi.org/10.1115/1.4041987
Slug-to-churn vertical two-phase flow regime transition study using an interface tracking approach
Zimmer, M. D., & Bolotnov, I. A. (2019), INTERNATIONAL JOURNAL OF MULTIPHASE FLOW, 115, 196–206. https://doi.org/10.1016/j.ijmultiphaseflow.2019.04.003
Direct numerical simulation of reactor two-phase flows enabled by high-performance computing
Fang, J., Cambareri, J. J., Brown, C. S., Feng, J. Y., Gouws, A., Li, M. N., & Bolotnov, I. A. (2018), Nuclear Engineering and Design, 330, 409–419. https://doi.org/10.1016/j.nucengdes.2018.02.024
Effect of the wall presence on the bubble interfacial forces in a shear flow field
Feng, J. Y., & Bolotnov, I. A. (2018), International Journal of Multiphase Flow, 99, 73–85. https://doi.org/10.1016/j.ijmultiphaseflow.2017.10.004
Numerical comparison of bubbling in a waste glass melter
Guillen, D. P., Cambareri, J., Abboud, A. W., & Bolotnov, I. A. (2018), Annals of Nuclear Energy, 113, 380–392. https://doi.org/10.1016/j.anucene.2017.11.044
Bubble tracking analysis of PWR two-phase flow simulations based on the level set method
Fang, J., & Bolotnov, I. A. (2017), Nuclear Engineering and Design, 323, 68–77. https://doi.org/10.1016/j.nucengdes.2017.07.034
Coalescence prevention algorithm for level set method
Talley, M. L., Zimmer, M. D., & Bolotnov, I. A. (2017), Journal of Fluids Engineering-Transactions of the ASME, 139(8). https://doi.org/10.1115/1.4036246
Evaluation of bubble-induced turbulence using direct numerical simulation
Feng, J. Y., & Bolotnov, I. A. (2017), International Journal of Multiphase Flow, 93, 92–107. https://doi.org/10.1016/j.ijmultiphaseflow.2017.04.003
High current C-11 gas target design and optimization using multi-physics coupling
Peeples, J. L., Magerl, M., O'Brien, E. M., Doster, J. M., Bolotnov, I. A., Wieland, B. W., & Stokely, M. H. (2017), In Wttc16: proceedings of the 16th international workshop on targetry and target chemistry (Vol. 1845). https://doi.org/10.1063/1.4983547
Interface tracking simulations of bubbly flows in PWR relevant geometries
Fang, J., Rasquin, M., & Bolotnov, I. A. (2017), Nuclear Engineering and Design, 312, 205–213. https://doi.org/10.1016/j.nucengdes.2016.07.002

View all publications via NC State Libraries


Computationally Efficient Prediction of Containment Thermal Hydraulics Using Multi-Scale Simulation
US Dept. of Energy (DOE)(11/21/16 - 9/30/18)
Research and Technical Assistance Related to Severe Accidents in Nuclear Power Plants
US Nuclear Regulatory Commission(9/08/16 - 6/30/19)
Computationally Efficient Prediction of Containment Thermal Hydraulics Using Multi-Scale Simulation: Feasibility Study (FY 16 NUC)
US Dept. of Energy (DOE)(12/23/15 - 9/30/16)
Development and Application of a Data-Driven Methodology for Validation of Risk Informed Safety Margin Characterization Models
US Dept. of Energy (DOE)(10/01/16 - 9/30/20)
Development and Validation of a Societal Risk Goal for Nuclear Power Plant Safety (2014-2015)
US Dept. of Energy (DOE)(11/04/14 - 9/30/15)
Turbulent Multiphase Flows for Nuclear Reactor Safety.
US Dept. of Energy (DOE) - Advanced Scientific Computing Research (ASCR)(7/01/14 - 6/30/15)
Simulation and Modeling of the Interactions of Liquid Turbulent Eddies and Gas Bubbles
National Science Foundation (NSF)(7/15/13 - 6/30/17)
Academic Career Development For a Nuclear Engineering Junior Faculty at North Carolina State University
US Nuclear Regulatory Commission(4/01/12 - 3/31/16)
Simulation of Turbulent Multiphase Flows For Nuclear Reactor Safety
US Dept. of Energy (DOE)(1/01/12 - 12/31/14)
Consortium for Advanced Simulations for Light Water Reactors (CASL) - Oak Ridge National laboratory
US Dept. of Energy (DOE)(11/30/-1 - 9/30/19)