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MIT professor develops method to verify compliance with Outer Space Treaty
Danagoulian
Areg Danagoulian of the Department of Nuclear Science and Engineering at the Massachusetts Institute of Technology is proposing a mechanism for verifying that Earth-orbiting satellites are in compliance with the Outer Space Treaty, which prohibits the placement of nuclear weapons in space. Danagoulian’s “concept and feasibility study,” titled “Verification of the Outer Space Treaty with cosmic protons,” was published recently in the journal Nature.
James Schneider, Mark Anderson (Univ of Wisconsin, Madison), Emilio Baglietto (MIT), Sama Bilbao y Leon (Virginia Commonwealth Univ), Matthew D. Bucknor (ANL), Sarah Morgan (Virginia Commonwealth Univ), Matthew Weathered (ANL), Liangyu Xu (MIT)
Proceedings | 2018 International Congress on Advances in Nuclear Power Plants (ICAPP 2018) | Charlotte, NC, April 8-11, 2018 | Pages 642-649
The sodium fast reactor (SFR) is the most mature reactor concept of all the generation-IV nuclear systems and is a promising reactor design that is currently under development by several organizations. The majority of sodium fast reactor designs utilize a pool type arrangement which incorporates the primary coolant pumps and intermediate heat exchangers within the sodium pool. These components typically protrude into the pool thus reducing the risk and severity of a loss of coolant accidents. To further ensure safe operation under even the most severe transients a more comprehensive understanding of key thermal hydraulic phenomena in this pool is desired. One of the key technology gaps identified for SFR safety is determining the extent and the effects of thermal stratification developing in the pool during postulated accident scenarios such as a protected or unprotected loss of flow incident. In an effort to address these issues, detailed flow models of transient stratification in the pool during an accident can be developed. However, to develop the calculation models, and ensure they can reproduce the underlying physics, highly spatially resolved data is needed. This data can be used in conjunction with advanced computational fluid dynamic calculations to aid in the development of simple reduced dimensional models for systems codes such as SAM and SAS4A/SASSYS-1.