Experimental Application of Boundary Condition Compensation Map (from Field to Laboratory Response)
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Proceedings of SPIE - The International Society for Optical Engineering
There are several factors that should be considered for robust terrain classification. We address the issue of high pixel-wise variability within terrain classes from remote sensing modalities, when the spatial resolution is less than one meter. Our proposed method segments an image into superpixels, makes terrain classification decisions on the pixels within each superpixel using the probabilistic feature fusion (PFF) classifier, then makes a superpixel-level terrain classification decision by the majority vote of the pixels within the superpixel. We show that this method leads to improved terrain classification decisions. We demonstrate our method on optical, hyperspectral, and polarimetric synthetic aperture radar data.
ATH 2020 - International Topical Meeting on Advances in Thermal Hydraulics
A MELCOR severe accident nuclear reactor code study of alkaline carbonate cooling to mitigate exvessel molten corium accident is described. This study is a part of a 3-year laboratory directed research and development project funded by Sandia National Laboratories. This study examines a novel method to provide an injectable mitigation system, capitalizing the endothermic decomposition of alkaline carbonate to absorb the decay heat and cool the molten corium resulting from a reactor vessel failure accident. A simplified granular carbonate decomposition model has been developed and has been implemented into a MELCOR input model to simulate the cooling effect of the carbonate in both a spreading experiment and a full plant accident model. The results seem promising to stop corium spreading and delay the severity of the accident by at least one-half day which may be enough for additional accident management to alleviate the situation.
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