Integrated Doses Calculation in Evacuation Scenarios of the Neutron Generator Facility at Missouri S&T
Any source of ionizing radiations could lead to considerable dose acquisition to individuals in a nuclear facility. Evacuation may be required when elevated levels of radiation is detected within a facility. In this situation, individuals are more likely to take the closest exit. This may not be the most expedient decision as it may lead to higher dose acquisition. The strategy followed in preventing large dose acquisitions should be predicated on the path that offers least dose acquisition. In this work, the neutron generator facility at Missouri University of Science and Technology was analyzed. The Monte Carlo N-Particle (MCNP) radiation transport code was used to model the entire floor of the generator's building. The simulated dose rates in the hallways were used to estimate the integrated doses for different paths leading to exits. It was shown that shortest path did not always lead to minimum dose acquisition and the approach was successful in predicting the expedient path as opposed to the approach of taking the nearest exit.
M. K. Sharma and A. B. Alajo, "Integrated Doses Calculation in Evacuation Scenarios of the Neutron Generator Facility at Missouri S&T," Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, vol. 827, pp. 8 - 12, Elsevier, Aug 2016.
The definitive version is available at https://doi.org/10.1016/j.nima.2016.04.061
Nuclear Engineering and Radiation Science
Keywords and Phrases
Dosimetry; Ionizing radiation; Mergers and acquisitions; Neutron beams; Neutron sources; Neutrons; Emergency planning; Integrated doses; Monte carlo n particles; Neutron generators; Nuclear facilities; Radiation Exposure; Radiation transport codes; Science and Technology; Neutron irradiation
International Standard Serial Number (ISSN)
Article - Journal
© 2016 Elsevier, All rights reserved.
01 Aug 2016
The work presented in this paper has been supported by U.S. NRC under the Award number NRC-HQ-11-G-38-0008.