mortar finite element methods
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2012 ◽  
Vol 11 (2) ◽  
pp. 472-488 ◽  
Author(s):  
Bernd Flemisch ◽  
Manfred Kaltenbacher ◽  
Simon Triebenbacher ◽  
Barbara Wohlmuth

AbstractFlexible discretization techniques for the approximative solution of coupled wave propagation problems are investigated. In particular, the advantages of using non-matching grids are presented, when one subregion has to be resolved by a substantially finer grid than the other subregion. We present the non-matching grid technique for the case of a mechanical-acoustic coupled as well as for acoustic-acoustic coupled systems. For the first case, the problem formulation remains essentially the same as for the matching situation, while for the acoustic-acoustic coupling, the formulation is enhanced with Lagrange multipliers within the framework of Mortar Finite Element Methods. The applications will clearly demonstrate the superiority of the Mortar Finite Element Method over the standard Finite Element Method both concerning the flexibility for the mesh generation as well as the computational time.


2012 ◽  
Vol 34 (4) ◽  
pp. B421-B446 ◽  
Author(s):  
A. Popp ◽  
B. I. Wohlmuth ◽  
M. W. Gee ◽  
W. A. Wall

2003 ◽  
Vol 3 (1) ◽  
pp. 202-218
Author(s):  
Marcus Sarkis ◽  
Xuemin Tu

AbstractWe consider the Poisson equation with Dirichlet boundary conditions on a polygonal domain with one reentrant corner. We introduce new nonconforming finite element discretizations based on mortar techniques and singular functions. The main idea introduced in this paper is the replacement of cut-off functions by mortar element techniques on the boundary of the domain. As advantages, the new discretizations do not require costly numerical integrations and have smaller a priori error estimates and condition numbers. Based on such an approach, we prove optimal accuracy error bounds for the discrete solution. Based on such techniques, we also derive new extraction formulas for the stress intensive factor. We establish optimal accuracy for the computed stress intensive factor. Numerical examples are presented to support our theory.


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