This contribution presents a method for numerical analysis of solids whose boundaries are represented by oriented point clouds. In contrast to standard finite elements that require a boundary-conforming discretization of the domain of interest, our approach works directly on the point cloud representation of the geometry. This is achieved by combining the inside-outside information that is inferred from the members of the point cloud with a high order immersed boundary technique. This allows for avoiding the challenging task of surface fitting and mesh generation, simplifying the image-based analysis pipeline drastically. We demonstrate by a numerical example how the proposed method can be applied in the context of linear elastostatic analysis of solids.
CITATION STYLE
Kudela, L., Kollmannsberger, S., & Rank, E. (2019). An Immersed Boundary Approach for the Numerical Analysis of Objects Represented by Oriented Point Clouds. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10986 LNCS, pp. 33–41). Springer Verlag. https://doi.org/10.1007/978-3-030-20805-9_4
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