Level-set based interface propagation: a stabilized least-squares polygonal finite element computation.
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| Title: | Level-set based interface propagation: a stabilized least-squares polygonal finite element computation. |
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| Authors: | Nguyen, Son H.1,2 (AUTHOR) son.nguyenhoang@vlu.edu.vn, Nguyen-Tran, Ba-Dinh1,2,3 (AUTHOR), Phan, Duc-Huynh3 (AUTHOR), Ngo, Long Cu4 (AUTHOR), Ha, Sang Truong5 (AUTHOR) |
| Source: | Computers & Mathematics with Applications. Jun2026, Vol. 211, p184-199. 16p. |
| Subjects: | Level set methods, Finite element method, Least squares, Numerical analysis, Laplacian operator |
| Abstract: | In this paper, a stabilized least-squares polygonal finite element method, named as LeSq-Poly, is introduced to address the evolution of a level-set function and its re-initialization process. Unlike conventional triangular and quadrilateral elements, our approach utilizes polygonal meshes for spatial discretization, offering increased flexibility in mesh generation and yielding more precise solutions. To stabilize numerical solutions without non-physical oscillations (steep gradients), both level-set evolution and its re-initialization are solved by using a stabilized least-squares minimization. In addition, a simple and efficient Laplacian smoothing technique is imposed to alleviate the mass-loss phenomenon due to adding diffusion terms in both level-set evolution and its re-initialization. Three benchmark problems are considered in numerical experiments: ellipse re-initialization, Zalesak's disk rotation, and vortex flow of a circular fluid body. The numerical results demonstrate that the LeSq-Poly approach effectively provides stable and reliable solutions. [ABSTRACT FROM AUTHOR] |
| Copyright of Computers & Mathematics with Applications is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 193092886 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Level-set based interface propagation: a stabilized least-squares polygonal finite element computation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Nguyen%2C+Son+H%2E%22">Nguyen, Son H.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> son.nguyenhoang@vlu.edu.vn</i><br /><searchLink fieldCode="AR" term="%22Nguyen-Tran%2C+Ba-Dinh%22">Nguyen-Tran, Ba-Dinh</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Phan%2C+Duc-Huynh%22">Phan, Duc-Huynh</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ngo%2C+Long+Cu%22">Ngo, Long Cu</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ha%2C+Sang+Truong%22">Ha, Sang Truong</searchLink><relatesTo>5</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computers+%26+Mathematics+with+Applications%22">Computers & Mathematics with Applications</searchLink>. Jun2026, Vol. 211, p184-199. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Level+set+methods%22">Level set methods</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink><br /><searchLink fieldCode="DE" term="%22Least+squares%22">Least squares</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+analysis%22">Numerical analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Laplacian+operator%22">Laplacian operator</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this paper, a stabilized least-squares polygonal finite element method, named as LeSq-Poly, is introduced to address the evolution of a level-set function and its re-initialization process. Unlike conventional triangular and quadrilateral elements, our approach utilizes polygonal meshes for spatial discretization, offering increased flexibility in mesh generation and yielding more precise solutions. To stabilize numerical solutions without non-physical oscillations (steep gradients), both level-set evolution and its re-initialization are solved by using a stabilized least-squares minimization. In addition, a simple and efficient Laplacian smoothing technique is imposed to alleviate the mass-loss phenomenon due to adding diffusion terms in both level-set evolution and its re-initialization. Three benchmark problems are considered in numerical experiments: ellipse re-initialization, Zalesak's disk rotation, and vortex flow of a circular fluid body. The numerical results demonstrate that the LeSq-Poly approach effectively provides stable and reliable solutions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computers & Mathematics with Applications is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.camwa.2026.03.025 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 184 Subjects: – SubjectFull: Level set methods Type: general – SubjectFull: Finite element method Type: general – SubjectFull: Least squares Type: general – SubjectFull: Numerical analysis Type: general – SubjectFull: Laplacian operator Type: general Titles: – TitleFull: Level-set based interface propagation: a stabilized least-squares polygonal finite element computation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nguyen, Son H. – PersonEntity: Name: NameFull: Nguyen-Tran, Ba-Dinh – PersonEntity: Name: NameFull: Phan, Duc-Huynh – PersonEntity: Name: NameFull: Ngo, Long Cu – PersonEntity: Name: NameFull: Ha, Sang Truong IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 08981221 Numbering: – Type: volume Value: 211 Titles: – TitleFull: Computers & Mathematics with Applications Type: main |
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