Volume 17, Issue 10 (1-2018)                   Modares Mechanical Engineering 2018, 17(10): 271-280 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Mossaiby F, Bahonar M J, Asadi A. Solving time-dependent problems using the generalized exponential basis functions method. Modares Mechanical Engineering 2018; 17 (10) :271-280
URL: http://mme.modares.ac.ir/article-15-7472-en.html
1- University of Isfahan, Department of Civil Engineering
2- Department of Civil Engineering, Yazd University
Abstract:   (4812 Views)
Partial differential equations are needed in most of the engineering fields. Analytical solutions to these equations cannot be derived except in some very special cases, making numerical methods more important. Alongside advances in science and technology, new methods have been proposed for solution of partial differential equations, such as meshless methods. Recently, the generalized exponential basis function (GEBF) meshless method has been introduced. In this method the unknown function is approximated as a linear combination of exponential basis functions. In linear problems, the unknown coefficients are calculated such that the homogenous form of main differential equation is satisfied in all points of the grid. In order to solve nonlinear equations, Newton-Kantorovich scheme is first used to linearize them. The linearized equations are then solved iteratively to obtain the result. In this paper, time dependent problems in solid mechanics have been investigated. In order to examine performance of the proposed method, linear and non-linear problems in solid mechanics are considered and the results are compared with analytical solutions. The results show good accuracy (less than 1 percentage error) of the presented method.
Full-Text [PDF 1627 kb]   (6139 Downloads)    
Article Type: Research Article | Subject: Meshless Numerical Methods
Received: 2017/06/18 | Accepted: 2017/09/12 | Published: 2017/10/27

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.