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The human factor in licensing and operating the next generation of nuclear plants
As human factors specialists working at the intersection of human performance and nuclear operations, we are witnessing one of the nuclear sector’s most significant transitions in decades. The emergence of small modular reactors, microreactors, and other advanced designs is reshaping the industry’s landscape. Digital instrumentation and controls, passive safety systems, and increased automation are creating opportunities for greater safety margins and more flexible operation. These same features also fundamentally redefine what it means to “operate” a nuclear plant. Interactions among human roles, automation, and passive systems shape how people maintain awareness, exercise judgment, and intervene when necessary. These developments affect both operational realities and the regulatory foundations on which nuclear safety is built.
Anastasios Mironidis, Leon Lidofsky, George Grochowski, Lefteris Tsoukalas
Nuclear Technology | Volume 127 | Number 2 | August 1999 | Pages 170-185
Technical Paper | Reactor Operations and Control | doi.org/10.13182/NT99-A2993
Articles are hosted by Taylor and Francis Online.
The problem of core damage severity evaluation during a core-threatening accident of a pressurized water reactor is addressed. An expert system, Core Damage Evaluator (CoDE), is developed that makes an adept utilization of the inferring capabilities of fuzzy logic to classify the core in the damage severity category: "intact," "clad failure," or "core melt" or a combination of the last two. If it is determined that some form of core damage exists, the logic model enters a quantification stage to provide a numerical assessment of the damage.The model is provided with two row vector inputs at a rate of 100 to 150 vector pairs per minute. The qualitative vector consists of 69 elements, whereas the quantitative one contains 83. These elements constitute instantaneous physical parameter values provided by the plant instrumentation. The inferencing procedure employed in this problem is the generalized modus ponens (GMP), which has its origin in the field of approximate reasoning.