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Jack D. Galloway

Bio: Jack D. Galloway is an academic researcher from Los Alamos National Laboratory. The author has contributed to research in topics: Burnup & Spent nuclear fuel. The author has an hindex of 7, co-authored 22 publications receiving 164 citations.

Papers
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Journal ArticleDOI
TL;DR: The fuel-cladding chemical interaction (FCCI) is a phenomenon that occurs at the fuel cladding interface during the irradiation of U-Zr and U-PuZr metallic nuclear fuel and stainless steel cladding as discussed by the authors.
Abstract: Fuel-cladding chemical interaction (FCCI) is a phenomenon that occurs at the fuel-cladding interface during the irradiation of U-Zr and U-Pu-Zr metallic nuclear fuel and stainless steel cladding T

78 citations

Journal ArticleDOI
TL;DR: An improved robust formulation for constituent distribution in metallic nuclear fuels is developed and implemented into the advanced fuel performance framework BISON as mentioned in this paper, where coupled thermal diffusion equations are solved simultaneously to reanalyze the constituent redistribution in post irradiation data from fuel tests performed in Experimental Breeder Reactor-II (EBR-II).

39 citations

01 Mar 2012
TL;DR: In this paper, the role of neutron absorbers with emphasis on how these absorbers vary in spent fuel (SF) as a function of initial enrichment, burnup (BU) and cooling time (CT).
Abstract: Ever since there has been spent fuel (SF), researchers have made nondestructive assay (NDA) measurements of that fuel to learn about its content. In general these measurements have focused on the simplest signatures (passive photon and total neutron emission) and the analysis has often focused on diversion detection and on determining properties such as burnup (BU) and cooling time (CT). Because of shortcomings in current analysis methods, inspectorates and policy makers are interested in improving the state-of-the-art in SF NDA. For this reason the U.S. Department of Energy, through the Next Generation Safeguards Initiative (NGSI), targeted the determination of elemental Pu mass in SF as a technical goal. As part of this research effort, 14 nondestructive assay techniques were studied . This wide range of techniques was selected to allow flexibility for the various needs of the safeguards inspectorates and to prepare for the likely integration of one or more techniques having complementary features. In the course of researching this broad range of NDA techniques, several cross-cutting issues were. This paper will describe some common issues and insights. In particular we will describe the following: (1) the role of neutron absorbers with emphasis on how these absorbers vary in SFmore » as a function of initial enrichment, BU and CT; (2) the need to partition the measured signal among different isotopic sources; and (3) the importance of the “first generation” concept which indicates the spatial location from which the signal originates as well as the isotopic origins.« less

20 citations

01 Jan 2014
TL;DR: In this article, the capability of non-destructive assay (NDA) techniques to meet the combined needs of the safeguards community and the Swedish encapsulation and repository facilities operator SKB was evaluated.
Abstract: The Swedish Nuclear Fuel and Waste Management Company (SKB), European Atomic Energy Community (Euratom), two universities and several U.S. Department of Energy Laboratories have joined in a collaborative research effort to determine the capability of non-destructive assay (NDA) techniques to meet the combined needs of the safeguards community and the Swedish encapsulation and repository facilities operator SKB. These needs include partial defect detection, heat quantification, assembly identification (initial enrichment, burnup and cooling time), and Pu mass and reactivity determination. The experimental component of this research effort involves the measurement of 50 assemblies at the Central Storage of Spent Nuclear Fuel (Clab) facility in Sweden, 25 of which were irradiated in Pressurized Water Reactors and 25 in Boiling Water Reactors. The experimental signatures being measured for all assemblies include spectral resolved gammas (HPGe and LaBr3), time correlated neutrons (Differential Die-away Self Interrogation), time-varying and continuous active neutron interrogation (Differential Die-away and an approximation of Californium Interrogation Prompt Neutron), total neutron and total gamma fluxes (Fork Detector), total heat (assembly length calorimeter) and possibly the Cerenkov light emission (Digital Cerenkov Viewing Device). This paper fits into the IAEA’s Department of Safeguards Long-Term R&D Plan in the context of developing “more sensitive and less intrusive alternatives to existing NDA instruments to perform partial defect test on spent fuel assembly prior to transfer to difficult to access storage,” as well as potentially supporting pyrochemical processing. The work describes the specific measured signatures, the uniqueness of the information contained in these signatures and why a data mining approach is being used to combine the various signatures to optimally satisfy the various needs of the collaboration. This paper will address efficient and effective verification strategies particularly in the context of encapsulation and repository facilities.

10 citations


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01 Nov 2014
TL;DR: The MOOSE (Multiphysics Object Oriented Simulation Environment) framework as mentioned in this paper is a multiscale framework for numerical simulation of nuclear power plants that allows for a variety of different data exchanges to occur simultaneously on high performance parallel computational hardware.
Abstract: Abstract Numerical simulation of nuclear reactors is a key technology in the quest for improvements in efficiency, safety, and reliability of both existing and future reactor designs. Historically, simulation of an entire reactor was accomplished by linking together multiple existing codes that each simulated a subset of the relevant multiphysics phenomena. Recent advances in the MOOSE (Multiphysics Object Oriented Simulation Environment) framework have enabled a new approach: multiple domain-specific applications, all built on the same software framework, are efficiently linked to create a cohesive application. This is accomplished with a flexible coupling capability that allows for a variety of different data exchanges to occur simultaneously on high performance parallel computational hardware. Examples based on the KAIST-3A benchmark core, as well as a simplified Westinghouse AP-1000 configuration, demonstrate the power of this new framework for tackling—in a coupled, multiscale manner—crucial reactor phenomena such as CRUD-induced power shift and fuel shuffle.

162 citations

Journal ArticleDOI
TL;DR: In this paper, an analysis of the response of FeCrAl under normal operating and loss of coolant conditions has been performed using fuel performance modeling using BISON fuel performance code.

85 citations

Journal ArticleDOI
TL;DR: The fuel-cladding chemical interaction (FCCI) is a phenomenon that occurs at the fuel cladding interface during the irradiation of U-Zr and U-PuZr metallic nuclear fuel and stainless steel cladding as discussed by the authors.
Abstract: Fuel-cladding chemical interaction (FCCI) is a phenomenon that occurs at the fuel-cladding interface during the irradiation of U-Zr and U-Pu-Zr metallic nuclear fuel and stainless steel cladding T

78 citations

Journal ArticleDOI
TL;DR: BISON as discussed by the authors is a modern finite element-based nuclear fuel performance code that has been under development at Idaho National Laboratory (INL) since 2009 and has been used to analyze a variety of fuel forms in 1D spherical, 2D axisymmetric or 3D geometries.

73 citations