Gyanender Singh is a modeling and simulation engineer in the Computational Mechanics and Materials department of Nuclear Science and Technology Directorate at INL. He specializes in determining the thermo-mechanical behavior of materials under complex physical conditions with the aim of predicting the performance of structures and components under operation and their design optimization. Besides, Dr. Singh holds significant experience in mechanical characterization of wide variety of materials including ceramic composites, monoliths, graphite and polyethylene. He has also experience in development of non-destructive techniques for mechanical characterization and manufacturing process modeling. Prior to joining INL, Dr. Singh conducted research at University of Tennessee and Oak Ridge National Laboratory focused on development of accident tolerant fuel cladding materials for advanced nuclear reactors.
"Impact of anisotropy on TRISO fuel performance" Jordan A. Evans, Wen Jiang, Jason Hales, Stephen Novascone, Gyanender Singh, [2024] Nuclear Engineering and Design · DOI: 10.1016/j.nucengdes.2024.113637 · ISSN: 0029-5493 | |
"Multiscale Modeling of Silicon Carbide Cladding for Nuclear Applications: Thermal Performance Modeling"
Jianguo Yu, Fei Xu, Tiankai Yao, Peng Xu, Gyanender Singh,
[2024]
Energies
· DOI: 10.3390/en17236124
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. |
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"Fracture mechanics approach to TRISO fuel particle failure analysis" Gyanender Singh, Wen Jiang, Antonio M. Recuero, [2024] Journal of Nuclear Materials · DOI: 10.1016/j.jnucmat.2024.155083 · ISSN: 0022-3115 | |
"Toward a high-fidelity tritium transport modeling for retention and permeation experiments" Pierre-Clément A. Simon, Casey T. Icenhour, Gyanender Singh, Masashi Shimada, [2024] Fusion Engineering and Design · DOI: 10.1016/j.fusengdes.2024.114438 · ISSN: 0920-3796 | |
"Development of Graphite Thermal and Mechanical Modeling Capabilities in Grizzly" Veerappan Prithivirajan, Lynn Munday, Gyanender Singh, Benjamin Spencer, Parikshit Bajpai, [2024] · DOI: 10.2172/2403365 | |
"Hermeticity of SiC/SiC composite and monolithic SiC tubes irradiated under radial high-heat flux" Xunxiang Hu, Christian M. Petrie, Gyanender Singh, Caen Ang, Christian P. Deck, Weon-Ju Kim, Daejong Kim, Cédric Sauder, James Braun, Yutai Katoh, Takaaki Koyanagi, [2024] Journal of Nuclear Materials · DOI: 10.1016/j.jnucmat.2023.154784 · ISSN: 0022-3115 | |
"Impact of circumferential variation in power, neutron flux and spacer grids on structural behavior of SiC-SiC cladding" Brian D. Wirth, Gyanender Singh, [2022] Journal of Nuclear Materials · DOI: 10.1016/j.jnucmat.2022.153726 · ISSN: 0022-3115 | |
"High-Temperature Creep Test Suite for Grizzly" Mark Messner, Lynn Munday, Benjamin Spencer, Gyanender Singh, [2022] · DOI: 10.2172/1891507 | |
"Efficient high-fidelity TRISO statistical failure analysis using Bison: Applications to AGR-2 irradiation testing" Gyanender Singh, Jason D. Hales, Aysenur Toptan, Benjamin W. Spencer, Stephen R. Novascone, Somayajulu L.N. Dhulipala, Zachary M. Prince, Wen Jiang, [2022] Journal of Nuclear Materials · DOI: 10.1016/j.jnucmat.2022.153585 · ISSN: 0022-3115 | |
Source: ORCID/CrossRef using DOI |
The Nuclear Science User Facilities (NSUF) is the U.S. Department of Energy Office of Nuclear Energy's only designated nuclear energy user facility. Through peer-reviewed proposal processes, the NSUF provides researchers access to neutron, ion, and gamma irradiations, post-irradiation examination and beamline capabilities at Idaho National Laboratory and a diverse mix of university, national laboratory and industry partner institutions.
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