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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.
H. P. Chou, J. N. Ning, T. M. Tsai
Nuclear Technology | Volume 101 | Number 1 | January 1993 | Pages 101-109
Technical Note | Waste Management Special / Reactor Operation | doi.org/10.13182/NT93-A34771
Articles are hosted by Taylor and Francis Online.
Two topics are discussed: a method to evaluate and construct a sensor failure detection network and use of the network for signal validation of a complex system such as a nuclear power plant. The network is arranged in a tree structure and consists of plantwide sensor measurements and component models. Sensors are categorized into four classes via a logic state analysis to determine the effectiveness of the tree layouts and to reveal deficiencies in the sensor arrangements. Network building is automatic via a rule-based algorithm. Besides analytical redundancy and parity relations, plantwide consistency checks are implemented in the validation scheme to detect possible common-mode failures and modeling or process faults. Data are structured with an entity relationship and processed with an object-oriented technique. The working sequence is arranged using topological sorting to facilitate on-line, real-time applications. For a demonstration, the package is implemented on a microcomputer and applied to a pressurized water reactor plant for safety parameter validation. Its performance in detecting hypothetical sensor failures during power maneuver transients is presented.