A method of the lagrange polynomial interpolation with weighting factors for reducing computational time / Uthai Prasopchingchana

This paper proposes a novel extrapolation method known as the Lagrange polynomial interpolation with weighting factors (LPI-WF) to determine initial guess values in each time step for solving equation systems of transient problems using iterative methods. The LPI-WF method is developed from the Lagr...

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第一著者: Prasopchingchana, Uthai
フォーマット: 論文
言語:English
出版事項: Universiti Teknologi MARA 2021
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オンライン・アクセス:http://ir.uitm.edu.my/id/eprint/47613/1/47613.pdf
http://ir.uitm.edu.my/id/eprint/47613/
https://jmeche.uitm.edu.my/
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spelling my.uitm.ir.476132021-06-16T02:36:03Z http://ir.uitm.edu.my/id/eprint/47613/ A method of the lagrange polynomial interpolation with weighting factors for reducing computational time / Uthai Prasopchingchana Prasopchingchana, Uthai Force and energy Weights and measures This paper proposes a novel extrapolation method known as the Lagrange polynomial interpolation with weighting factors (LPI-WF) to determine initial guess values in each time step for solving equation systems of transient problems using iterative methods. The LPI-WF method is developed from the Lagrange polynomial interpolation to determine the direct extrapolation values and multiply them with the weighting factors. The weighting factors are calculated by considering the number of the previous time steps involved in the extrapolation and the duration between the present time step and the previous time steps. Thus, the LPI-WF method is proper for use with highorder temporal schemes. The key advantages of the LPI-WF method are that the computational time required to achieve the steady-state condition of the transient problems is reduced and the computation codes with the LPI-WF method is more stable than without the LPI-WF method at high time step values. A performance test of the LPI-WF method is carried out by comparing the computational time based on the “lid-driven cavity flow” problem for Reynolds numbers of 1000 and 5000. The test result shows that the computational time of the problem when the LPI-WF method is adopted can be reduced up to 10.46 % compared to the conventional method. Universiti Teknologi MARA 2021-01 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/47613/1/47613.pdf ID47613 Prasopchingchana, Uthai (2021) A method of the lagrange polynomial interpolation with weighting factors for reducing computational time / Uthai Prasopchingchana. Journal of Mechanical Engineering (JMechE), 8 (1). pp. 1-19. ISSN (eISSN): 2550-164X https://jmeche.uitm.edu.my/
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Force and energy
Weights and measures
spellingShingle Force and energy
Weights and measures
Prasopchingchana, Uthai
A method of the lagrange polynomial interpolation with weighting factors for reducing computational time / Uthai Prasopchingchana
description This paper proposes a novel extrapolation method known as the Lagrange polynomial interpolation with weighting factors (LPI-WF) to determine initial guess values in each time step for solving equation systems of transient problems using iterative methods. The LPI-WF method is developed from the Lagrange polynomial interpolation to determine the direct extrapolation values and multiply them with the weighting factors. The weighting factors are calculated by considering the number of the previous time steps involved in the extrapolation and the duration between the present time step and the previous time steps. Thus, the LPI-WF method is proper for use with highorder temporal schemes. The key advantages of the LPI-WF method are that the computational time required to achieve the steady-state condition of the transient problems is reduced and the computation codes with the LPI-WF method is more stable than without the LPI-WF method at high time step values. A performance test of the LPI-WF method is carried out by comparing the computational time based on the “lid-driven cavity flow” problem for Reynolds numbers of 1000 and 5000. The test result shows that the computational time of the problem when the LPI-WF method is adopted can be reduced up to 10.46 % compared to the conventional method.
format Article
author Prasopchingchana, Uthai
author_facet Prasopchingchana, Uthai
author_sort Prasopchingchana, Uthai
title A method of the lagrange polynomial interpolation with weighting factors for reducing computational time / Uthai Prasopchingchana
title_short A method of the lagrange polynomial interpolation with weighting factors for reducing computational time / Uthai Prasopchingchana
title_full A method of the lagrange polynomial interpolation with weighting factors for reducing computational time / Uthai Prasopchingchana
title_fullStr A method of the lagrange polynomial interpolation with weighting factors for reducing computational time / Uthai Prasopchingchana
title_full_unstemmed A method of the lagrange polynomial interpolation with weighting factors for reducing computational time / Uthai Prasopchingchana
title_sort method of the lagrange polynomial interpolation with weighting factors for reducing computational time / uthai prasopchingchana
publisher Universiti Teknologi MARA
publishDate 2021
url http://ir.uitm.edu.my/id/eprint/47613/1/47613.pdf
http://ir.uitm.edu.my/id/eprint/47613/
https://jmeche.uitm.edu.my/
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score 13.251813