rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: A
    title: Non-Intrusive Reduced Order Model for Parametric Reactor Kinetics Simulations
  name:
    name part: Hardy, Zachary
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Morel, Jim
    role:
      role term: thesis advisor.
  name:
    name part: Texas A&M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: This work develops a non-intrusive, equation-free reduced-order model (ROM) for parametric reactor kinetics simulations. Non-intrusive, equation-free ROMs have many distinctive advantages compared to their intrusive counterparts. First, lower-dimensional auxiliary simulation data can be used in lieu of potentially very high-dimensional simulation outputs. Additionally, non-intrusive ROMs are agnostic to the underlying source of data, allowing them to be applied without modification to different computational models or experimental data. The method is comprised of two independent components: parametric prediction and dynamics characterization. Parametric prediction uses Proper Orthogonal Decomposition Mode Coefficient Interpolation (POD-MCI) to predict high-dimensional reactor kinetics simulation results for unseen parametric configurations. This is done by mapping the simulation outputs for different parametric configurations to a low-dimensional coordinate system defined by POD modes extracted from the data. Predictions are then made by performing parametric interpolations on the mode coefficients and mapping the result back into high-dimensional space. The dynamics characterization stage is utilized when specific information about the underlying dynamics is desired. In these cases, Dynamic Mode Decomposition (DMD) is applied to each of the predictions to yield spatiotemporal structures and associated time eigenvalues. Many reactor kinetics simulations fall outside of the assumptions made in the standard DMD algorithm. When necessary, variants of the standard algorithm such as Partitioned DMD (PDMD) and Multi-Resolution DMD (MRDMD) are characterized and used in the ROM. This method is applied to five reactor kinetics problems of increasing complexity, culminating with the two-dimensional LRA benchmark problem, which models a control rod ejection reactor pulse with nonlinear temperature feedback and a coupled adiabatic heat up model. For each example, the POD-MCI me…
  note: by Zachary Hardy.
  note: "Major Subject: Nuclear Engineering"
  note: Includes vita.
  note: Doctor of Philosophy Texas A&M University 2022 https://hdl.handle.net/1969.1/197269
  note: Includes bibliographical references.
  note: Text (Dissertation)
  subject:
    topic: Major Nuclear Engineering
  subject:
    topic: Reduced-order modeling
  subject:
    topic: Proper orthogonal decomposition
  subject:
    topic: Dynamic mode decomposition
  subject:
    topic: Non-intrusive
  subject:
    topic: Interpolation
  subject:
    topic: Reactor kinetics
  subject:
    topic: Reactor pulse
  subject:
    topic: Numerical methods
  identifier: https://hdl.handle.net/1969.1/197269
  record info:
    record content source: TXA
    record creation date: 240819
    record change date: 20240820145859.5
    record identifier: in00005463637
    language of cataloging:
      language term: eng