Jeffrey Giglio

Profile Information
Publications:
"A novel approach to determine the local burnup in irradiated fuels using Atom Probe Tomography (APT)" Mukesh Bachhav, Jian Gan, Dennis Keiser, Jeffrey Giglio, Daniel Jadernas, Ann Leenaers, Sven Van den Berghe, Journal of Nuclear Materials Vol. 528 2020 Link
"Three-dimensional reconstruction from experimental two-dimensional images: Application to irradiated metallic fuel" Riccardo Genoni, Davide Pizzocri, Federico Antonello, Tommaso Barani, Lelio Luzzi, Jeffrey Giglio, Fabiola Cappia, Journal of Nuclear Materials Vol. [unknown] Link
This work applies reconstruction methods based on a genetic algorithm to derive 3D material properties, namely porosity and percolation fraction, in irradiated U-Pu-Zr fuel with minor actinides. We provide two-dimensional experimental data regarding the radial distribution of fission gas bubbles in the fuel and apply the algorithm successfully developed in a companion paper to reconstruct the fuel pore structure in 3D which is unknown a priori. The algorithm returned a set of best structures that constituted the best candidate solutions representing the pore phase. From these, it was possible to extract statistics on the 3D percolation fraction of the reference medium and infer a mean value, the related uncertainty, and an upper and lower bound of the percolation fraction. The algorithm proved able to infer this 3D property from 2D information of the metallic fuel with confidence intervals, thus establishing a path to infer 3D properties directly from 2D experimental images. The knowledge of such a relationship can be used to extrapolate the percolation threshold with confidence interval, which is a crucial property in defining microstructure-based fission gas release models of metallic fuels.