Accuracy of a 3D adaptive mesh refinement method with analytical velocity fields

Zhenquan Li; Rajnesh Lal

Accuracy of a 3D adaptive mesh refinement method with analytical velocity fields

Zhenquan Li, Rajnesh Lal

Fiji National University

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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Abstract

Meshing plays an important role on the accuracy and convergence of CFD solvers. The accuracy includes quantitative measures such as discretization and truncation errors and qualitative measures such as drawing closed streamline, identifying singular points, asymptotic lines/planes, and (symmetry) axis. The current study builds on previous work by further demonstrating the accuracy of the three-dimensional adaptive mesh refinement method by comparing the accuracy measures between the ones derived from analytical velocity fields and those identified by the refined meshes. The adaptive mesh refinement method presented in this study is proposed based on the law of mass conservation for three-dimensional incompressible or compressible steady fluid flows. The performance of the adaptive mesh refinement method is analysed using three-dimensional analytic velocity fields of four examples. The results provide evidence for the accuracy of the mesh refinement method in identifying the singular points, axes, and asymptote planes of the analytical velocity fields.

Original language	English
Title of host publication	ICCM2022
Subtitle of host publication	Proceedings of the International Conference on Computational Methods (Vol. 9, 2022)
Editors	G.R. Liu, Nguyen-Xuan Hung
Place of Publication	United States
Publisher	Scientech Publisher LLC, USA
Pages	31-41
Number of pages	11
Volume	9
Publication status	Published - 25 Jul 2022
Event	13th International Conference on Computational Methods, at the Cloud - Online Duration: 25 Jul 2022 → 28 Jul 2022 https://www.sci-en-tech.com/ICCM/ https://www.sci-en-tech.com/ICCM2022/ICCM2022-Proceedings.pdf (Proceedings) https://sci-en-tech.com/ICCM2022/ICCM2022%20Handbook.pdf (Handbook)

Publication series

Name	ICCM Proceedings
Publisher	Scientech Publisher
Volume	9
ISSN (Electronic)	2374-3948

Conference

Conference	13th International Conference on Computational Methods, at the Cloud
Period	25/07/22 → 28/07/22
Other	The ICCM is an international conference providing an international forum for exchanging ideas on recent advances in areas related to computational methods, numerical modelling & simulation of manmade or natural systems, as well as their applications in engineering and science. It will accommodate presentations on a wide range of topics to facilitate inter-disciplinary exchange of ideas in science, engineering and related disciplines, and foster various types of academic collaborations.
Internet address	https://www.sci-en-tech.com/ICCM/ https://www.sci-en-tech.com/ICCM2022/ICCM2022-Proceedings.pdf (Proceedings) https://sci-en-tech.com/ICCM2022/ICCM2022%20Handbook.pdf (Handbook)

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https://sci-en-tech.com/ICCM2022/Paper%20Proceedings%20for%20Download.pdfLicence: CC BY-NC-ND

23 Peer review responsibility, including review panel or committee

Aerospace (Journal)
Li, Z. (Reviewer)
01 Mar 2024 → 29 Mar 2024
Activity: Publication peer-review and editorial work › Peer review responsibility, including review panel or committee
Aerospace (Journal)
Li, Z. (Reviewer)
01 Feb 2024 → 28 Feb 2024
Activity: Publication peer-review and editorial work › Peer review responsibility, including review panel or committee
ANZIAM Journal (Journal)
Li, Z. (Reviewer)
01 Mar 2024 → 30 Mar 2024
Activity: Publication peer-review and editorial work › Peer review responsibility, including review panel or committee

Cite this

Li, Z., & Lal, R. (2022). Accuracy of a 3D adaptive mesh refinement method with analytical velocity fields. In G. R. Liu, & N.-X. Hung (Eds.), ICCM2022: Proceedings of the International Conference on Computational Methods (Vol. 9, 2022) (Vol. 9, pp. 31-41). (ICCM Proceedings; Vol. 9). Scientech Publisher LLC, USA. https://sci-en-tech.com/ICCM2022/Paper%20Proceedings%20for%20Download.pdf

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title = "Accuracy of a 3D adaptive mesh refinement method with analytical velocity fields",

abstract = "Meshing plays an important role on the accuracy and convergence of CFD solvers. The accuracy includes quantitative measures such as discretization and truncation errors and qualitative measures such as drawing closed streamline, identifying singular points, asymptotic lines/planes, and (symmetry) axis. The current study builds on previous work by further demonstrating the accuracy of the three-dimensional adaptive mesh refinement method by comparing the accuracy measures between the ones derived from analytical velocity fields and those identified by the refined meshes. The adaptive mesh refinement method presented in this study is proposed based on the law of mass conservation for three-dimensional incompressible or compressible steady fluid flows. The performance of the adaptive mesh refinement method is analysed using three-dimensional analytic velocity fields of four examples. The results provide evidence for the accuracy of the mesh refinement method in identifying the singular points, axes, and asymptote planes of the analytical velocity fields.",

keywords = "Adaptive mesh refinement, Computational fluid dynamics (CFD), 3D velocity fields",

author = "Zhenquan Li and Rajnesh Lal",

note = "Includes bibliographical references.; 13th International Conference on Computational Methods, at the Cloud ; Conference date: 25-07-2022 Through 28-07-2022",

year = "2022",

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language = "English",

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publisher = "Scientech Publisher LLC, USA",

pages = "31--41",

editor = "G.R. Liu and Nguyen-Xuan Hung",

booktitle = "ICCM2022",

url = "https://www.sci-en-tech.com/ICCM/, https://www.sci-en-tech.com/ICCM2022/ICCM2022-Proceedings.pdf, https://sci-en-tech.com/ICCM2022/ICCM2022%20Handbook.pdf",

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Li, Z & Lal, R 2022, Accuracy of a 3D adaptive mesh refinement method with analytical velocity fields. in GR Liu & N-X Hung (eds), ICCM2022: Proceedings of the International Conference on Computational Methods (Vol. 9, 2022). vol. 9, ICCM Proceedings, vol. 9, Scientech Publisher LLC, USA, United States, pp. 31-41, 13th International Conference on Computational Methods, at the Cloud, 25/07/22. <https://sci-en-tech.com/ICCM2022/Paper%20Proceedings%20for%20Download.pdf>

Accuracy of a 3D adaptive mesh refinement method with analytical velocity fields. / Li, Zhenquan; Lal, Rajnesh.
ICCM2022: Proceedings of the International Conference on Computational Methods (Vol. 9, 2022). ed. / G.R. Liu; Nguyen-Xuan Hung. Vol. 9 United States: Scientech Publisher LLC, USA, 2022. p. 31-41 (ICCM Proceedings; Vol. 9).

Research output: Book chapter/Published conference paper › Conference paper › peer-review

TY - GEN

T1 - Accuracy of a 3D adaptive mesh refinement method with analytical velocity fields

AU - Li, Zhenquan

AU - Lal, Rajnesh

N1 - Includes bibliographical references.

PY - 2022/7/25

Y1 - 2022/7/25

N2 - Meshing plays an important role on the accuracy and convergence of CFD solvers. The accuracy includes quantitative measures such as discretization and truncation errors and qualitative measures such as drawing closed streamline, identifying singular points, asymptotic lines/planes, and (symmetry) axis. The current study builds on previous work by further demonstrating the accuracy of the three-dimensional adaptive mesh refinement method by comparing the accuracy measures between the ones derived from analytical velocity fields and those identified by the refined meshes. The adaptive mesh refinement method presented in this study is proposed based on the law of mass conservation for three-dimensional incompressible or compressible steady fluid flows. The performance of the adaptive mesh refinement method is analysed using three-dimensional analytic velocity fields of four examples. The results provide evidence for the accuracy of the mesh refinement method in identifying the singular points, axes, and asymptote planes of the analytical velocity fields.

AB - Meshing plays an important role on the accuracy and convergence of CFD solvers. The accuracy includes quantitative measures such as discretization and truncation errors and qualitative measures such as drawing closed streamline, identifying singular points, asymptotic lines/planes, and (symmetry) axis. The current study builds on previous work by further demonstrating the accuracy of the three-dimensional adaptive mesh refinement method by comparing the accuracy measures between the ones derived from analytical velocity fields and those identified by the refined meshes. The adaptive mesh refinement method presented in this study is proposed based on the law of mass conservation for three-dimensional incompressible or compressible steady fluid flows. The performance of the adaptive mesh refinement method is analysed using three-dimensional analytic velocity fields of four examples. The results provide evidence for the accuracy of the mesh refinement method in identifying the singular points, axes, and asymptote planes of the analytical velocity fields.

KW - Adaptive mesh refinement

KW - Computational fluid dynamics (CFD)

KW - 3D velocity fields

M3 - Conference paper

VL - 9

T3 - ICCM Proceedings

SP - 31

EP - 41

BT - ICCM2022

A2 - Liu, G.R.

A2 - Hung, Nguyen-Xuan

PB - Scientech Publisher LLC, USA

CY - United States

T2 - 13th International Conference on Computational Methods, at the Cloud

Y2 - 25 July 2022 through 28 July 2022

ER -

Accuracy of a 3D adaptive mesh refinement method with analytical velocity fields

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Aerospace (Journal)

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