Approximation Solution For Nonlinear Poisson Equation By Finite Element_Homotopy Method

الحل التقريبي لمعادلة بواسون غير الخطية بطريقة هوموتوبي_العناصر المنتهية FE_HM

المؤلفون

  • Hiba Zakaria Aslan, Habib Solaiman Ali, Berlant Sabri Mattit

الكلمات المفتاحية:

Dirichlet
معادلة بواسون غير الخطية
دالة الوزن
دوال الشكل
مصفوفات الصلابة
معادلة التشوه

الملخص

The main aim to this research is to find the approximation solution of the nonlinear Poisson equation by combining the finite element method FEM with homotopy analysis method HAM in a single approximation method because the finite element method needs when applied to nonlinear partial differential equations either for iterative methods such as ( Newton_Gauss Method14, Picard's iterative method3, Newton_Galarkin Method4) or for other approximation methods such as(B_Splain24, Homotopy Analysis6).

In this article, the finite element method was combined with the Homotopy analysis method with one method called Homotopy _Finite Element Method FE_HM, to convert the nonlinear matter into a linear matter through the HAM method, and to overcome the engineering complexity of the region by a grid of finite elements through the FEM method, We obtained good results when applying this method to the nonlinear Poisson equation on Dirichlet boundary condition, and this method was programmed through the Matlab program.

السيرة الشخصية للمؤلف

Hiba Zakaria Aslan, Habib Solaiman Ali, Berlant Sabri Mattit

Hiba Zakaria Aslan, Habib Solaiman Ali

Faculty of Science || Albaath University || Homs || Syria

Berlant Sabri Mattit

Faculty-Damascus University || Damascus || Syria

التنزيلات

منشور

2020-06-30

كيفية الاقتباس

1.
Hiba Zakaria Aslan, Habib Solaiman Ali, Berlant Sabri Mattit. Approximation Solution For Nonlinear Poisson Equation By Finite Element_Homotopy Method: الحل التقريبي لمعادلة بواسون غير الخطية بطريقة هوموتوبي_العناصر المنتهية FE_HM. jnslas [انترنت]. 30 يونيو، 2020 [وثق 26 مارس، 2023];4(2):29-1. موجود في: https://journals.ajsrp.com/index.php/jnslas/article/view/2626

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