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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.
Chang K. Park, Robert A. Bari, William Kerr
Nuclear Technology | Volume 81 | Number 3 | June 1988 | Pages 360-369
Technical Paper | Nuclear Safety | doi.org/10.13182/NT88-A16057
Articles are hosted by Taylor and Francis Online.
Containment performance criteria (CPC) are derived systematically, given top level safety goals related to public risk. The main focus is on the relationships between the top level safety goals and lower level design objectives, and the way in which the latter are determined. A set of CPC is identified in terms of the reliabilities of the systems that perform various containment functions. The multiobjective optimization approach is used as a method for deriving a finite manageable set of self-consistent relations between the top level safety goals and specific containment performance. As a global set of measures of plant performance or objective functions, acute and latent fatalities and the total reliability cost are chosen. The latter is included because it represents both technical and economic limitations in achieving a certain level of the first two members of the global set. A specific application is made to a large dry containment. A set of noninferior solutions (optimized solutions in a multiobjective optimization problem) is shown and discussed.