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Computational efficiency of mixed least squares meshless models over SPH method for elliptic PDEs | ||
| AUT Journal of Civil Engineering | ||
| دوره 8، شماره 1، شهریور 2024، صفحه 2-2 اصل مقاله (1.09 M) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/ajce.2024.22777.5847 | ||
| نویسندگان | ||
| Gholamreza Shobeyri* ؛ Seyed Hossein Ghoreishi Najafabadi؛ Mehrdad Abed | ||
| Faculty of Civil, Water & Environmental Engineering, Shahid Beheshti University, Tehran, Iran | ||
| چکیده | ||
| Analysis of various physical phenomena requires solution of partial differential equations. Numerical methods especially the meshless schemes are used to discretize and solve these equations. Recently, several modifications have been proposed and applied to improve numerical performance of the smoothed particle hydrodynamics (SPH) method as a well-known meshless method. This study aims to show that the least squares methods especially in the context of the mixed formulation can get more accuracy compared with all existing SPH models. To validate this claim, three meshless numerical models are derived from Taylor series expansion on the basis of the mixed formulation. One of the models is based on mixed first order ordinary formulation while two other use the first and second order least squares mixed scheme. For accuracy analysis of the proposed methods, a potential flow and three two dimensional differential equations have been solved and examined with the presented SPH models. The main finding of this study is that the proposed mixed second order least squares method has the ability to achieve significant computational efficiency over several efficient and accurate SPH models. In addition to this, it has been found that the least square scheme can improve accuracy of the ordinary mixed model. | ||
| کلیدواژه‌ها | ||
| mesh less numerical methods؛ smoothed particle dynamics؛ elliptic differential equations؛ potential flows؛ mixed formulation | ||
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آمار تعداد مشاهده مقاله: 121 تعداد دریافت فایل اصل مقاله: 129 |
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