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Accelerator Applications
The division was organized to promote the advancement of knowledge of the use of particle accelerator technologies for nuclear and other applications. It focuses on production of neutrons and other particles, utilization of these particles for scientific or industrial purposes, such as the production or destruction of radionuclides significant to energy, medicine, defense or other endeavors, as well as imaging and diagnostics.
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Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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Christmas Night
Twas the night before Christmas when all through the houseNo electrons were flowing through even my mouse.
All devices were plugged in by the chimney with careWith the hope that St. Nikola Tesla would share.
Alp Tezbasaran, Maria N. Avramova, Kostadin N. Ivanov (NCSU), Osman S. Celikten (Hacettepe Univ)
Proceedings | Advances in Thermal Hydraulics 2018 | Orlando, FL, November 11-15, 2018 | Pages 729-738
In this work, the sub-channel thermal-hydraulic code CTF is applied to the hottest fuel assembly of a VVER-1000 core, aiming to investigate the code sensitivity to uncertainties of the initial and boundary conditions. The core thermal-hydraulic solver CTF is a modernized version of the COBRA-TF sub-channel code, which is being maintained and developed by the Reactor Dynamics and Fuel Modeling Group (RDFMG) at North Carolina State University (NCSU) in cooperation with Oak Ridge National Laboratory (ORNL).
In this study, first, a full core model of a VVER-1000 reactor with its initial loading pattern is created for the Monte Carlo neutronics code MCNP6 under normal operating conditions using ENDF/B VII.1 / NJOY99. The assembly power factors and the pin-powers of the hottest fuel assembly, obtained by MCNP6, are used as power boundary conditions in CTF. The hottest assembly is simulated to calculate the fuel, cladding, and coolant temperatures at normal operating conditions.
Uncertainty analyses are performed using Dakota 6.5 and it is observed that CTF predictions of fuel, cladding, and coolant temperatures are most sensitive to uncertainties in core average power and inlet coolant temperature.