Bezier versus Lagrange polynomials-based finite element analysis of 2-D potential problems

被引:2
作者
Provatidis, Christopher G. [1 ]
机构
[1] Natl Tech Univ Athens, Mech Design & Control Syst Div, Sch Mech Engn, GR-15780 Athens, Greece
关键词
Bezier; Lagrange polynomial; Galerkin-Ritz; Macroelements; CAD/CAE integration; MATLAB((R)); INTERPOLATION; MACROELEMENTS;
D O I
10.1016/j.advengsoft.2014.02.006
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper two types of tensor product finite macro-elements are contrasted, the former being the well known Lagrange type and the latter the Bezier (Bernstein) type elements. Although they have a different mathematical origin and seemingly are irrelevant, they both are based on complete polynomials thus sharing the same functional space, i.e. the classes {x(n)} and {y(n)}. Therefore, from the theoretical point of view it is anticipated that they should lead to numerically identical results in both static and dynamic analysis. For both types of elements details are provided concerning the main computer programming steps, while selective parts of a typical MATLAB((R)) code are presented. Numerical application includes static (Laplace, Poisson), eigenvalue (acoustics) and transient (heat conduction) problems of rectangular, circular and elliptic shapes, which were treated as a single macroelement. In agreement to the theory, in all six examples the results obtained using Bezier and Lagrange polynomials were found to be identical and of exceptional accuracy. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:22 / 34
页数:13
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