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Accurate integration of trimmed cells based on Bezier approximation

Citation Link: https://doi.org/10.15480/882.5039
Publikationstyp
Conference Paper
Date Issued
2023-03-24
Sprache
English
Author(s)
Hosseini, Seyed Farhad  
Gorji, Mahan  
Düster, Alexander  
Institut
Konstruktion und Festigkeit von Schiffen M-10  
TORE-DOI
10.15480/882.5039
TORE-URI
http://hdl.handle.net/11420/15113
Journal
Proceedings in applied mathematics and mechanics  
Volume
22
Issue
1
Article Number
e202200204
Citation
Proceedings in applied mathematics and mechanics 22 (1): e202200204 (2023-03-24)
Contribution to Conference
92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics, GAMM 2022  
Publisher DOI
10.1002/pamm.202200204
Publisher
Wiley-VCH
In this work, a new adaptive integration method for simulation of two-dimensional linear elasticity problems is presented. The main benefit of the proposed method is the reduction of the computational cost by lowering the number of integration points required to reach a certain level of accuracy. The main concept of the proposed method is to calculate new weights for trimmed cells employing the advantage of Bezier parametric curves. Within this concept, it is possible to map a square to a triangle with one curved edge where any curved edge is approximated by a parametric Bezier curve. In this way, a new set of Gaussian quadrature points is introduced for each trimmed cell in a fast and robust way. Besides main mapping cases, the integration method includes supplementary cases as well to increase the robustness and generality of the method. In the next step, the proposed method is implemented in a two-dimensional fictitious domain code in MATLAB to solve structural problems. The results will be compared to those obtained through the commercial finite element code ABAQUS. It is shown that the proposed method is accurate and robust.
DDC Class
600: Technik
620: Ingenieurwissenschaften
Funding(s)
Projekt DEAL  
Funding Organisations
Alexander von Humboldt-Stiftung  
Deutsche Forschungsgemeinschaft (DFG)  
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by-nc-nd/4.0/
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