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2014 | OriginalPaper | Buchkapitel

6. The Eigenfunction Virtual Fields Method

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Abstract

The Virtual Fields Method (VFM, Pierron and Grediac, 2012) is an inverse technique for computing mechanical properties of materials from full-field deformations obtained from techniques such as Digital Image Correlation (DIC). VFM is based on the principle of virtual work, which is a weak statement of the equations of motion. Central to VFM is the appropriate choice of virtual fields, which in prior work, have been assumed to be polynomials that are continuously differentiable, either piece-wise or over the entire domain of interest. In this work, we propose a new method for systematically identifying virtual fields by performing a principal component analysis (PCA) of the strain field measured from experiments. The virtual strain components to be used in VFM are then chosen to be the eigenfunctions so determined. In addition to being a physically meaningful set of virtual fields, such a choice exploits the orthogonality of the computed eigenfunctions while simultaneously eliminating computation of a large number of coefficients that define the virtual fields in prior approaches. In the case of linear elastic behaviour, we show that this new approach, named the Eigenfunction Virtual Fields Method (EVFM), leads to a compact system of equations that can be solved for the unknown material parameters.

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Literatur
1.
Zurück zum Zitat Pierron F, Grediac M (2012) The Virtual Fields Method: extracting constitutive mechanical parameters from full-field deformation measurements. Springer, New York Pierron F, Grediac M (2012) The Virtual Fields Method: extracting constitutive mechanical parameters from full-field deformation measurements. Springer, New York
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Zurück zum Zitat Avril S, Pierron F (2007) General framework for the identification of constitutive parameters from full-field measurements in linear elasticity. Int J Solids Struct 44:4978–5002 Avril S, Pierron F (2007) General framework for the identification of constitutive parameters from full-field measurements in linear elasticity. Int J Solids Struct 44:4978–5002
4.
Zurück zum Zitat Sutton MA, Orteu J-J, Schreier HW (2009) Image correlation for shape, motion and deformation measurements. Springer, New York Sutton MA, Orteu J-J, Schreier HW (2009) Image correlation for shape, motion and deformation measurements. Springer, New York
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Zurück zum Zitat Grediac M, Pierron F, Surrel Y (1999) Novel procedure for complete in-plane composite characterization using a single T-shaped specimen. Exp Mech 39(2):142–149 Grediac M, Pierron F, Surrel Y (1999) Novel procedure for complete in-plane composite characterization using a single T-shaped specimen. Exp Mech 39(2):142–149
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Zurück zum Zitat Grediac M, Toussaint E, Pierron F (2002) Special virtual fields for the direct determination of material parameters with the Virtual Fields Method. 1 – principle and definition. Int J Solids Struct 39(10):2691–2705 Grediac M, Toussaint E, Pierron F (2002) Special virtual fields for the direct determination of material parameters with the Virtual Fields Method. 1 – principle and definition. Int J Solids Struct 39(10):2691–2705
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Zurück zum Zitat Avril S, Grediac M, Pierron F (2004) Sensitivity of the Virtual Fields Method to noisy data. Comput Mech 34(6):439–452 Avril S, Grediac M, Pierron F (2004) Sensitivity of the Virtual Fields Method to noisy data. Comput Mech 34(6):439–452
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Zurück zum Zitat Grama SN, Subramanian SJ (2012) Computation of full-field strains using principal components analysis. Manuscript under review. Grama SN, Subramanian SJ (2012) Computation of full-field strains using principal components analysis. Manuscript under review.
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Metadaten
Titel
The Eigenfunction Virtual Fields Method
verfasst von
Sankara J. Subramanian
Copyright-Jahr
2014
DOI
https://doi.org/10.1007/978-3-319-00768-7_6

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