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On a parameter identification problem in linear elasticity
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T. Hein
Veröffentlicht/Copyright:
4. Februar 2009
Abstract
We present numerical results concerning the identification of the Lamé constants λ and μ in linear elasticity from measured deformation of a test body. For the numerical solution of the identification problem deterministic Gauss – Newton and multi-parameter regularization approaches are compared with evolutionary algorithms. Furthermore we deal with practical questions such as the experimental design for obtaining sufficient data for recovering the unknown parameters.
Received: 2008-07-25
Published Online: 2009-02-04
Published in Print: 2009-February
© de Gruyter 2009
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Artikel in diesem Heft
- Minisymposium — Recent progress in regularization theory
- Recent results on the quasi-optimality principle
- An iterative thresholding-like algorithm for inverse problems with sparsity constraints in Banach space
- Regularization in Banach spaces — convergence rates by approximative source conditions
- On a parameter identification problem in linear elasticity
- Modified Landweber iterations in a multilevel algorithm applied to inverse problems in piezoelectricity
- On the role of sparsity in inverse problems
- Optimal convergence rates for Tikhonov regularization in Besov scales
- An overview on convergence rates for Tikhonov regularization methods for non-linear operators
- Modulus of continuity and conditional stability for linear regularization schemes
- Acceleration of the generalized Landweber method in Banach spaces via sequential subspace optimization
