Boundary parameter matching for isogeometric analysis using Schwarz–Christoffel mapping

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Engineering with Computers vol. 40, no. 6 (Dec 2024), p. 3929
Julkaistu:
Springer Nature B.V.
Aiheet:
Linkit:Citation/Abstract
Full Text - PDF
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

MARC

LEADER 00000nab a2200000uu 4500
001 3139003089
003 UK-CbPIL
022 |a 0177-0667 
022 |a 1435-5663 
024 7 |a 10.1007/s00366-024-02020-z  |2 doi 
035 |a 3139003089 
045 2 |b d20241201  |b d20241231 
084 |a 137654  |2 nlm 
245 1 |a Boundary parameter matching for isogeometric analysis using Schwarz–Christoffel mapping 
260 |b Springer Nature B.V.  |c Dec 2024 
513 |a Journal Article 
520 3 |a Isogeometric analysis has brought a paradigm shift in integrating computational simulations with geometric designs across engineering disciplines. This technique necessitates analysis-suitable parameterization of physical domains to fully harness the synergy between Computer-Aided Design and Computer-Aided Engineering analyses. Existing methods often fix boundary parameters, leading to challenges in elongated geometries such as fluid channels and tubular reactors. This paper presents an innovative solution for the boundary parameter matching problem, specifically designed for analysis-suitable parameterizations. We employ a sophisticated Schwarz–Christoffel mapping technique, which is instrumental in computing boundary correspondences. A refined boundary curve reparameterization process complements this. Our dual-strategy approach maintains the geometric exactness and continuity of input physical domains, overcoming limitations often encountered with the existing reparameterization techniques. By employing our proposed boundary parameter matching method, we show that even a simple linear interpolation approach can effectively construct a satisfactory analysis-suitable parameterization. Our methodology offers significant improvements over traditional practices, enabling the generation of analysis-suitable and geometrically precise models, which is crucial for ensuring accurate simulation results. Numerical experiments show the capacity of the proposed method to enhance the quality and reliability of isogeometric analysis workflows. 
653 |a Design 
653 |a Parameterization 
653 |a Computer aided design--CAD 
653 |a Computer aided mapping 
653 |a Matching 
653 |a Computer aided engineering--CAE 
653 |a Parameters 
773 0 |t Engineering with Computers  |g vol. 40, no. 6 (Dec 2024), p. 3929 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3139003089/abstract/embedded/ZKJTFFSVAI7CB62C?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3139003089/fulltextPDF/embedded/ZKJTFFSVAI7CB62C?source=fedsrch