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    Efficient Finite Element Mesh Mapping Using Octree Indexing

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    Publication date
    2022-09
    Author
    Adalat, Omar
    Scrimieri, Daniele
    Keyword
    Octree indexing
    Mesh mapping
    Finite element analysis
    Peer-Reviewed
    Yes
    Open Access status
    closedAccess
    
    Metadata
    Show full item record
    Abstract
    Modern manufacturing involves multiple stages of complex process chains where Finite Element Analysis is frequently used as a simulation method on a discretized mesh to provide an accurate estimation of factors such as stresses, strains, and displacements. The choice of the most suitable element type and density is dependent on the individual manufacturing process or treatment applied at each stage of the process chain. To map between unalike Finite Element meshes, differing in density and/or element type, an Octree spatial index was evaluated as a solution for highly performant mapping. Compared to existing solutions, the Octree spatial index introduces parallelism within index creation and provides a strategy to perform the most complex interpolation technique, Element Shape Function, in a more computationally efficient manner.
    URI
    http://hdl.handle.net/10454/19137
    Version
    No full-text in the repository
    Citation
    Adalat O and Scrimieri D (2022) Efficient Finite Element Mesh Mapping Using Octree Indexing. 21st UK Workshop on Computational Intelligence. 7-9 Sep 2022. Sheffield, UK.
    Type
    Conference paper
    Collections
    Engineering and Informatics Publications

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