3036Accesses
1867Citations
3 Altmetric
Abstract
A local symmetric weak form (LSWF) for linear potential problems is developed, and a truly meshless method, based on the LSWF and the moving least squares approximation, is presented for solving potential problems with high accuracy. The essential boundary conditions in the present formulation are imposed by a penalty method. The present method does not need a “finite element mesh”, either for purposes of interpolation of the solution variables, or for the integration of the “energy”. All integrals can be easily evaluated over regularly shaped domains (in general, spheres in three-dimensional problems) and their boundaries. No post-smoothing technique is required for computing the derivatives of the unknown variable, since the original solution, using the moving least squares approximation, is already smooth enough. Several numerical examples are presented in the paper. In the example problems dealing with Laplace & Poisson's equations, high rates of convergence with mesh refinement for the Sobolev norms ||·||0 and ||·||1 have been found, and the values of the unknown variable and its derivatives are quite accurate. In essence, the present meshless method based on the LSWF is found to be a simple, efficient, and attractive method with a great potential in engineering applications.
This is a preview of subscription content,log in via an institution to check access.
Access this article
Subscribe and save
- Starting from 10 chapters or articles per month
- Access and download chapters and articles from more than 300k books and 2,500 journals
- Cancel anytime
Buy Now
Price includes VAT (Japan)
Instant access to the full article PDF.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, books and news in related subjects, suggested using machine learning.Author information
Authors and Affiliations
Center for Aerospace Research & Education, 7704 Boelter Hall, University of California at Los Angeles, Los Angeles, CA 90095-1600, USA, , , , , , US
S. N. Atluri & T. Zhu
- S. N. Atluri
Search author on:PubMed Google Scholar
- T. Zhu
Search author on:PubMed Google Scholar
Rights and permissions
About this article
Cite this article
Atluri, S., Zhu, T. A new Meshless Local Petrov-Galerkin (MLPG) approach in computational mechanics.Computational Mechanics22, 117–127 (1998). https://doi.org/10.1007/s004660050346
Issue date:
Share this article
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative


