Scan-Based Immersed Isogeometric Flow Analysis

Book Chapter (2023)
Author(s)

CV Verhoosel (Eindhoven University of Technology, TU Delft - Computational Design and Mechanics)

E. Harald van Brummelen (Eindhoven University of Technology)

Sai C. Divi (Eindhoven University of Technology)

F. Prenter (TU Delft - Wind Energy)

Research Group
Wind Energy
Copyright
© 2023 C.V. Verhoosel, E. Harald van Brummelen, Sai C. Divi, Frits de Prenter
DOI related publication
https://doi.org/10.1007/978-3-031-36942-1_14
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 C.V. Verhoosel, E. Harald van Brummelen, Sai C. Divi, Frits de Prenter
Research Group
Wind Energy
Pages (from-to)
477-512
ISBN (print)
['978-3-031-36944-5', '978-3-031-36941-4']
ISBN (electronic)
978-3-031-36942-1
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This chapter reviews the work conducted by our team on scan-based immersed isogeometric analysis for flow problems. To leverage the advantageous properties of isogeometric analysis on complex scan-based domains, various innovations have been made: (i) A spline-based segmentation strategy has been developed to extract a geometry suitable for immersed analysis directly from scan data; (ii) A stabilized equal-order velocity-pressure formulation for the Stokes problem has been proposed to attain stable results on immersed domains; (iii) An adaptive integration quadrature procedure has been developed to improve computational efficiency; (iv) A mesh refinement strategy has been developed to capture small features at a priori unknown locations, without drastically increasing the computational cost of the scan-based analysis workflow. We review the key ideas behind each of these innovations, and illustrate these using a selection of simulation results from our work. A patient-specific scan-based analysis case is reproduced to illustrate how these innovations enable the simulation of flow problems on complex scan data.

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