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Devoted specifically to the safety of nuclear installations and the health and safety of the public, this division seeks a better understanding of the role of safety in the design, construction and operation of nuclear installation facilities. The division also promotes engineering and scientific technology advancement associated with the safety of such facilities.
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November 30–December 3, 2021
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Fusion Science and Technology
Inspecting nuclear facilities with unmanned aerial systems
Over the past decade, unmanned aerial systems (UASs), more commonly referred to as drones, have played an increasing role in the day-to-day activities of the energy sector. Applications range from visually inspecting wind turbines, flare stacks, pipelines, and facilities to evaluating vegetation encroachment near power lines. Although the benefits of UASs have been reported in these industries, their use in the nuclear community has only recently been explored. For instance, a drone was sent into a waterbox at a Duke Energy facility to inspect for leaks.1 And at Fukushima Daiichi, a drone was used to conduct a post-accident radiation survey inside Unit 3, and drones are being investigated for use inside the damaged containments.2
N. C. Logan, B. A. Grierson, S. R. Haskey, S. P. Smith, O. Meneghini, D. Eldon
Fusion Science and Technology | Volume 74 | Number 1 | July-August 2018 | Pages 125-134
Technical Paper | dx.doi.org/10.1080/15361055.2017.1386943
Articles are hosted by Taylor and Francis Online.
One Modeling Framework for Integrated Tasks (OMFIT) has been used to develop a consistent tool for interfacing with, mapping, visualizing, and fitting tokamak profile measurements. OMFIT is used to integrate the many diverse diagnostics on multiple tokamak devices into a regular data structure, consistently applying spatial and temporal treatments to each channel of data. Tokamak data are fundamentally time dependent and are treated so from the start, with front-loaded and logic-based manipulations such as filtering based on the identification of edge-localized modes (ELMs) that commonly scatter data. Fitting is general in its approach, and tailorable in its application in order to address physics constraints and handle the multiple spatial and temporal scales involved. Although community standard one-dimensional fitting is supported, including scale length–fitting and fitting polynomial-exponential blends to capture the H-mode pedestal, OMFITprofiles includes two-dimensional (2-D) fitting using bivariate splines or radial basis functions. These 2-D fits produce regular evolutions in time, removing jitter that has historically been smoothed ad hoc in transport applications. Profiles interface directly with a wide variety of models within the OMFIT framework, providing the inputs for TRANSP, kinetic-EFIT 2-D equilibrium, and GPEC three-dimensional equilibrium calculations. The OMFITprofiles tool’s rapid and comprehensive analysis of dynamic plasma profiles thus provides the critical link between raw tokamak data and simulations necessary for physics understanding.