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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 108
PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: J. Kruis, Y. Tsompanakis and B.H.V. Topping
Paper 225
Mesh Topology Based Data Mapping between Simplex Finite Element Meshes D. Rypl
Department of Mechanics, Faculty of Civil Engineering, Czech Technical University in Prague, Czech Republic D. Rypl, "Mesh Topology Based Data Mapping between Simplex Finite Element Meshes", in J. Kruis, Y. Tsompanakis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 225, 2015. doi:10.4203/ccp.108.225
Keywords: finite element data transfer, finite element mesh mapping, topology based mapping, localization map, walking algorithm, mesh traversal, advancing front.
Summary
This paper deals with the transfer of finite element data between
mutually different, simplex finite element meshes discretizing the same
geometrical model. The work, described in the paper, focuses on a construction of the
localization map defining for each node of the target mesh, onto which the data
are to be transferred, the closest element of the original source
mesh. Instead of adopting commonly applied strategies constructing
the map using a spatial index based on various tree or
dynamic cell data structures, a different approach utilising the topology
of the mesh is introduced. The actual localization is performed using
a walking algorithm, which is based on the traversal between
neighbouring elements of the source mesh from an initial element
towards the processed node. The order in which the individual nodes of the target mesh
are processed is driven by the nodal connectivity of the target mesh
and is implemented using an advancing front. This ensures that only
those target nodes that have as a neighbour an already processed node, are
ready for localization. To make the algorithm efficient and
reliable, the implementation also relies on the classification of the
processed meshes to the underlying geometrical model. The performance
of the proposed approach is demonstrated with a three-dimensional real-world example.
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