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Latest News
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. S. Zaitsev, S. Matejcik, A. Murari, E. P. Suchkov, JET-EFDA Contributors
Fusion Science and Technology | Volume 62 | Number 2 | October 2012 | Pages 366-373
Selected Paper from the Seventh Fusion Data Validation Workshop 2012 (Part 1) | doi.org/10.13182/FST12-476
Articles are hosted by Taylor and Francis Online.
In tokamaks, the problem of plasma current density and safety factor reconstruction, given the available measurements, can be strongly unstable with respect to the input data. Different constraints are used in practice to make the problem more stable. Traditionally, methods for equilibrium reconstruction search for one solution of the Grad-Shafranov equation with a set of constraints. However, the questions of the efficiency of a constraint in selecting a solution; the required accuracy of the measurements; the existence of very different solutions, which are compatible with the measurement errors; and the detailed assessment of the reconstruction confidence intervals are not addressed. This paper presents a numerical algorithm, based on the -net technique, which provides answers to all these questions. Examples of application of the method to the analysis of ITER- and JET-like plasmas are given.