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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.
Klaas Bakker, Rudy J. M. Konings
Nuclear Technology | Volume 115 | Number 1 | July 1996 | Pages 91-99
Technical Paper | Heat Transfer and Fluid Flow | doi.org/10.13182/NT96-A35278
Articles are hosted by Taylor and Francis Online.
The thermal conductivity of UO2 is an important parameter in the design of nuclear fuel assemblies. The thermal conductivity can be reduced by radiation-induced porosity, leading to increased safety risks. In the literature, an analytical equation has been suggested to describe the influence of randomly ordered ellipsoidal porosity on thermal conductivity. However, in the case where the shape and the distribution of the pores is very complex, as in irradiated nuclear fuel, this equation is less well suited. The finite element method is introduced as a computational technique to take into account the influence of complex porosity structures on the thermal conductivity. Using the combination of image analysis and the finite element method, an equation has been obtained that describes the relation between the average elongated form of the pores and the overall thermal conductivity. Both the finite element method and image analysis are tools to estimate the thermal conductivity of high-burnup nuclear fuel.