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Benjamin Müller
Mixed Least Squares Finite Element Methods for Geometrically Nonlinear Hyperelasticity

University of Duisburg-Essen
Faculty of Mathematics
Thea-Leymann-Straße 9
45127 Essen
Germany
benjamin.mueller@uni-due.de
Gerhard Starke
Jörg Schröder
Alexander Schwarz
Karl Steeger

The finite element method is an important tool for the simulation of elasticity problems in solid mechanics. It is well known that the linear elastic theory does not cover arising real life problems. Physically more realistic models lead to nonlinear partial differential equations.
In this talk we present a least squares finite element method based on the momentum balance and nonlinear constitutive equations for hyperelastic materials. Our approach is motivated by a well-studied least squares formulation for linear elasticity. This method is generalized to an approach which takes nonlinear kinematics and nonlinear stress-strain relations into account. The novelty of our approach, in comparison to other discretization methods, is that next to the displacement $ \textbf{u}$ the full first Piola-Kirchhoff stress tensor $ \textbf{P}$ is considered and both are approximated simultaneously.
In the discrete formulation we use Raviart-Thomas elements $ \mathcal{RT}_{1}$ for the stress tensor and continuous piecewise quadratic elements for the displacement vector. For the minimization of the nonlinear least squares functional, the Gauss-Newton method with backtracking line search is used.

At the end of the talk we will illustrate the performance of our method for some two dimensional problems in plane strain configuration and some three dimensional problems. Here we use constitutive equations of Neo-Hooke/Mooney-Rivlin type and the least squares functional as a-posteriori error estimator for adaptive mesh refinement. Our approach works also for (quasi-) incompressible materials and the least squares functional tends to identify the regions of interest.




References

[1]
B. Müller, G. Starke, A. Schwarz, J. Schröder: A First-Order System Least Squares Method for Hyperelasticity. (submitted to SIAM Journal on Scientific Computing)

[2]
Z. Cai, G. Starke: Least-Squares Methods for Linear Elasticity. SIAM J. Numer. Anal. Vol. 42 (2004), 826-842.

[3]
T. A. Manteuffel, S. F. McCormick, J. G. Schmidt, C. R. Westphal: First-Order System Least Squares for Geometrically Nonlinear Elasticity. SIAM J. Numer. Anal. Vol. 44 (2006), 2057-2081.




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