IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i23p6124-d1537139.html
   My bibliography  Save this article

Multiscale Modeling of Silicon Carbide Cladding for Nuclear Applications: Thermal Performance Modeling

Author

Listed:
  • Gyanender Singh

    (Idaho National Laboratory, Idaho Falls, ID 83415, USA)

  • Jianguo Yu

    (Idaho National Laboratory, Idaho Falls, ID 83415, USA)

  • Fei Xu

    (Idaho National Laboratory, Idaho Falls, ID 83415, USA)

  • Tiankai Yao

    (Idaho National Laboratory, Idaho Falls, ID 83415, USA)

  • Peng Xu

    (Idaho National Laboratory, Idaho Falls, ID 83415, USA)

Abstract

The complex multiscale and anisotropic nature of silicon carbide (SiC) ceramic matrix composite (CMC) makes it difficult to accurately model its performance in nuclear applications. The existing models for nuclear grade composite SiC do not account for the microstructural features and how these features can affect the thermal and structural behavior of the cladding and its anisotropic properties. In addition to the microstructural features, the properties of individual constituents of the composites and fiber tow architecture determine the bulk properties. Models for determining the relationship between the individual constituents’ properties and the bulk properties of SiC composites for nuclear applications are absent, although empirical relationships exist in the literature. Here, a hierarchical multiscale modeling approach was presented to address this challenge. This modular approach addressed this difficulty by dividing the various aspects of the composite material into separate models at different length scales, with the evaluated property from the lower-length-scale model serving as an input to the higher-length-scale model. The multiscale model considered the properties of various individual constituents of the composite material (fiber, matrix, and interphase), the porosity in the matrix, the fiber volume fraction, the composite architecture, the tow thickness, etc. By considering inhomogeneous and anisotropic contributions intrinsically, our bottom-up multiscale modeling strategy is naturally physics-informed, bridging constitutive law from micromechanics to meso-mechanics and structural mechanics. The effects that these various physical attributes and thermo-physical properties have on the composite’s bulk thermal properties were easily evaluated and demonstrated through the various analyses presented herein. Since silicon carbide fiber-reinforced SiC CMCs are also promising thermal–structural materials with a broad range of high-end technology applications beyond nuclear applications, we envision that the multiscale modeling method we present here may prove helpful in future efforts to develop and construct reinforced CMCs and other advanced composite nuclear materials, such as MAX phase materials, that can service under harsh environments of ultrahigh temperatures, oxidation, corrosion, and/or irradiation.

Suggested Citation

  • Gyanender Singh & Jianguo Yu & Fei Xu & Tiankai Yao & Peng Xu, 2024. "Multiscale Modeling of Silicon Carbide Cladding for Nuclear Applications: Thermal Performance Modeling," Energies, MDPI, vol. 17(23), pages 1-12, December.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:6124-:d:1537139
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/23/6124/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/23/6124/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fei Xu & Tiankai Yao & Peng Xu & Jason L. Schulthess & Mario D. Matos & Sean Gonderman & Jack Gazza & Joshua J. Kane & Nikolaus L. Cordes, 2023. "Multi-Scale Characterization of Porosity and Cracks in Silicon Carbide Cladding after Transient Reactor Test Facility Irradiation," Energies, MDPI, vol. 17(1), pages 1-15, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:6124-:d:1537139. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.