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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.
Pedro Mata, Rafael de la Fuente, Pablo G. Sedano, Juan Serra
Nuclear Technology | Volume 121 | Number 3 | March 1998 | Pages 275-288
Technical Paper | RETRAN | doi.org/10.13182/NT98-A2839
Articles are hosted by Taylor and Francis Online.
The development of a reload transient analysis methodology for Cofrentes nuclear power plant is presented based on the RETRAN-03 code. The starting point of this methodology was the Cofrentes best-estimate RETRAN model, which had been benchmarked against a number of startup and operational transients. In addition, the best-estimate model had been used to support plant operation and to analyze actual operational and abnormal transients.A number of sensitivity studies have been carried out with the best-estimate model to analyze the effect of the uncertainty associated with the key parameters on the critical power ratio in the most limiting Cofrentes reload transients. The individual uncertainties of key parameters have been combined to obtain the change in critical power ratio (CPR) with a 95% probability level (CPR95).Finally, the Cofrentes licensing model has been defined using conservative values for some significant parameters with the criterion that the calculated CPR cover CPR95. The results obtained with the licensing model have been checked against vendor calculations for the licensing reload transients.This methodology has been submitted to the Spanish Regulatory Commission, and it is expected to be used for the next Cofrentes reload licensing analysis.