An Immersed Boundary Approach for the Numerical Analysis of Objects Represented by Oriented Point Clouds

  • László Kudela
  • , Stefan Kollmannsberger
  • , Ernst Rank

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationComputational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - 6th International Conference, CompIMAGE 2018, Revised Selected Papers
EditorsValentin E. Brimkov, Valentin E. Brimkov, Reneta P. Barneva, Piotr Kulczycki, João Manuel R.S. Tavares
PublisherSpringer Verlag
Pages33-41
Number of pages9
ISBN (Print)9783030208042
DOIs
StatePublished - 2019
Event6th International Symposium on Computational Modeling of Objects Presented in Images, CompIMAGE 2018 - Cracow, Poland
Duration: 2 Jul 20185 Jul 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10986 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Symposium on Computational Modeling of Objects Presented in Images, CompIMAGE 2018
Country/TerritoryPoland
CityCracow
Period2/07/185/07/18

Keywords

  • Finite Cell Method
  • Image-based finite element analysis
  • Point clouds

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