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Colin Judge: Testing structural materials in Idaho’s newest hot cell facility
Idaho National Laboratory’s newest facility—the Sample Preparation Laboratory (SPL)—sits across the road from the Hot Fuel Examination Facility (HFEF), which started operating in 1975. SPL will host the first new hot cells at INL’s Materials and Fuels Complex (MFC) in 50 years, giving INL researchers and partners new flexibility to test the structural properties of irradiated materials fresh from the Advanced Test Reactor (ATR) or from a partner’s facility.
Materials meant to withstand extreme conditions in fission or fusion power plants must be tested under similar conditions and pushed past their breaking points so performance and limitations can be understood and improved. Once irradiated, materials samples can be cut down to size in SPL and packaged for testing in other facilities at INL or other national laboratories, commercial labs, or universities. But they can also be subjected to extreme thermal or corrosive conditions and mechanical testing right in SPL, explains Colin Judge, who, as INL’s division director for nuclear materials performance, oversees SPL and other facilities at the MFC.
SPL won’t go “hot” until January 2026, but Judge spoke with NN staff writer Susan Gallier about its capabilities as his team was moving instruments into the new facility.
F. Beonio-Brocchieri, Helmut Bunz, Werner Schöck, Ian H. Dunbar, Jean Gauvain, Shinya Miyahara, Yoshiaki Himeno, Kunihisa Soda, Norihiro Yamano
Nuclear Technology | Volume 81 | Number 2 | May 1988 | Pages 193-204
Technical Paper | Nuclear Aerosol Science / Nuclear Safety | doi.org/10.13182/NT88-A34092
Articles are hosted by Taylor and Francis Online.
Codes used to simulate aerosol behavior inside containments of nuclear power plants after assumed severe accidents are described. The basic aerosol physical equations of all codes are the same worldwide. Only minor differences can be detected regarding some special aerosol physical processes. These differences are not inherent but caused by boundary conditions, which are of special interest for the code users. The comparison of the single codes also shows that the general agreement achieved by the numerical treatment of the aerosol equation requires an appropriate discretization of the distribution function to yield stable solutions under all arbitrary conditions. The application of solutions based on special distribution functions should, therefore, be restricted to certain scenarios.