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http://dx.doi.org/10.7734/COSEIK.2022.35.5.267

Efficient Analysis of Discontinuous Elements Using a Modified Selective Enrichment Technique  

Lee, Semin (Ulsan National Institute of Science and Technology, Department of Mechanical Engineering)
Kang, Taehun (SEMES CO., LTD Advanced Vehicle Research LAB)
Chung, Hayoung (Ulsan National Institute of Science and Technology, Department of Mechanical Engineering)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.35, no.5, 2022 , pp. 267-275 More about this Journal
Abstract
Using a nonconforming mesh in enrichment methods results in several numerical issues induced by discontinuities and singularities found within the solution spaces, including the computational overhead during integration. In this study, we present a novel enrichment technique based on the selective expansion technique of moment fitting (Düster and Allix, 2020). In particular, two modifications are proposed to address the inefficiency during the integration process. First, a feedforward artificial neural network is introduced to correlate the implicit functions and integration moments. Through numerical examples, it is shown that the efficiency of the method is greatly improved when compared with existing expansion techniques, whereas the solution accuracy is maintained. Additionally, the finite element and domain representation grids are separated, which in turn improves the solution accuracy even for coarse mesh conditions.
Keywords
moment fitting method; artificial neural network; adaptive integration; level set function;
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