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NURBS Curves in Parametric Integral Equations System for Modeling and Solving Boundary Value Problems in Elasticity
This paper presents a way to improve the boundary shape modeling process in solving boundary value problems in elasticity. The inclusion of NURBS curves into the mathematical formalism of the parametric integral equations system method (PIES) is proposed. The advantages of such an application are wi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302830/ http://dx.doi.org/10.1007/978-3-030-50417-5_9 |
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author | Kapturczak, Marta Zieniuk, Eugeniusz Kużelewski, Andrzej |
author_facet | Kapturczak, Marta Zieniuk, Eugeniusz Kużelewski, Andrzej |
author_sort | Kapturczak, Marta |
collection | PubMed |
description | This paper presents a way to improve the boundary shape modeling process in solving boundary value problems in elasticity. The inclusion of NURBS curves into the mathematical formalism of the parametric integral equations system method (PIES) is proposed. The advantages of such an application are widely discussed. Recently, the Bezier curves, mainly the cubic curves (of third-degree), were used. The segments of the boundary shape were modeled by such curves (with ensuring continuity at the connection points). Using NURBS curves, the boundary shape can be modeled with only one curve. So, continuity is automatically ensured. Additionally, the second degree NURBS curve is enough to obtain the shape with high accuracy (better than cubic Bezier curves). The NURBS curve is defined by points, their weights and knots vector. Such parameters significantly improve the shape modification process, which can directly improve e.g. the shape identification process. To examine the impact of modeling accuracy on the final PIES solutions, examples described by the Navier-Lamé equations were used. To improve calculations, the PIES method using NURBS curves was implemented as a computer program. Then, it was decided to verify the accuracy of the obtained solutions. For comparison, the solutions were also obtained using analytical solutions, boundary element method, and PIES method (with the Bezier curves). An improvement in the boundary shape modeling was noticed. It significantly affects the accuracy of solutions. As a result, the consumption of computer resources was reduced, while the process of boundary shape modeling and the accuracy of the obtained results were improved. |
format | Online Article Text |
id | pubmed-7302830 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73028302020-06-19 NURBS Curves in Parametric Integral Equations System for Modeling and Solving Boundary Value Problems in Elasticity Kapturczak, Marta Zieniuk, Eugeniusz Kużelewski, Andrzej Computational Science – ICCS 2020 Article This paper presents a way to improve the boundary shape modeling process in solving boundary value problems in elasticity. The inclusion of NURBS curves into the mathematical formalism of the parametric integral equations system method (PIES) is proposed. The advantages of such an application are widely discussed. Recently, the Bezier curves, mainly the cubic curves (of third-degree), were used. The segments of the boundary shape were modeled by such curves (with ensuring continuity at the connection points). Using NURBS curves, the boundary shape can be modeled with only one curve. So, continuity is automatically ensured. Additionally, the second degree NURBS curve is enough to obtain the shape with high accuracy (better than cubic Bezier curves). The NURBS curve is defined by points, their weights and knots vector. Such parameters significantly improve the shape modification process, which can directly improve e.g. the shape identification process. To examine the impact of modeling accuracy on the final PIES solutions, examples described by the Navier-Lamé equations were used. To improve calculations, the PIES method using NURBS curves was implemented as a computer program. Then, it was decided to verify the accuracy of the obtained solutions. For comparison, the solutions were also obtained using analytical solutions, boundary element method, and PIES method (with the Bezier curves). An improvement in the boundary shape modeling was noticed. It significantly affects the accuracy of solutions. As a result, the consumption of computer resources was reduced, while the process of boundary shape modeling and the accuracy of the obtained results were improved. 2020-06-15 /pmc/articles/PMC7302830/ http://dx.doi.org/10.1007/978-3-030-50417-5_9 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Kapturczak, Marta Zieniuk, Eugeniusz Kużelewski, Andrzej NURBS Curves in Parametric Integral Equations System for Modeling and Solving Boundary Value Problems in Elasticity |
title | NURBS Curves in Parametric Integral Equations System for Modeling and Solving Boundary Value Problems in Elasticity |
title_full | NURBS Curves in Parametric Integral Equations System for Modeling and Solving Boundary Value Problems in Elasticity |
title_fullStr | NURBS Curves in Parametric Integral Equations System for Modeling and Solving Boundary Value Problems in Elasticity |
title_full_unstemmed | NURBS Curves in Parametric Integral Equations System for Modeling and Solving Boundary Value Problems in Elasticity |
title_short | NURBS Curves in Parametric Integral Equations System for Modeling and Solving Boundary Value Problems in Elasticity |
title_sort | nurbs curves in parametric integral equations system for modeling and solving boundary value problems in elasticity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302830/ http://dx.doi.org/10.1007/978-3-030-50417-5_9 |
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