Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Concurrent multiscale analysis without meshing: microscale representation with CutFEM and micro/macro model blending

Mikaeili, E., Claus, S. ORCID: https://orcid.org/0000-0001-9014-5278 and Kerfriden, P. ORCID: https://orcid.org/0000-0002-7749-3996 2022. Concurrent multiscale analysis without meshing: microscale representation with CutFEM and micro/macro model blending. Computer Methods in Applied Mechanics and Engineering 393 , 114807. 10.1016/j.cma.2022.114807

[thumbnail of 1-s2.0-S0045782522001347-main.pdf] PDF - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (7MB)

Abstract

In this paper, we develop a novel unfitted multiscale framework that combines two separate scales represented by only one single computational mesh. Our framework relies on a mixed zooming technique where we zoom at regions of interest to capture microscale properties and then mix the micro and macroscale properties in a transition region. Furthermore, we use homogenization techniques to derive macro model material properties. The microscale features are discretized using CutFEM. The transition region between the micro and macroscale is represented by a smooth blending function. To address the issues with ill-conditioning of the multiscale system matrix due to the arbitrary intersections in cut elements and the transition region, we add stabilization terms acting on the jumps of the normal gradient (ghost-penalty stabilization). We show that our multiscale framework is stable and is capable to reproduce mechanical responses for heterogeneous structures in a mesh-independent manner. The efficiency of our methodology is exemplified by 2D and 3D numerical simulations of linear elasticity problems.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 0045-7825
Date of First Compliant Deposit: 29 March 2022
Date of Acceptance: 22 February 2022
Last Modified: 07 May 2023 02:56
URI: https://orca.cardiff.ac.uk/id/eprint/148613

Citation Data

Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics