Recovering the normal form of an elasticity tensor
Sophie Abramian (LMT), Boris Desmorat (DALEMBERT), Rodrigue Desmorat, (LMT), Boris Kolev (LMT), Marc Olive (LMT)

TL;DR
This paper introduces a geometric method to transform any elasticity tensor into its normal form based on its symmetry class, using covariants and an algorithm for symmetry detection.
Contribution
It presents a novel geometric approach and an algorithm for recovering the normal form of elasticity tensors across all symmetry classes.
Findings
Effective rotation method for normal form recovery
Algorithm for symmetry class detection
Applicable to tensors in any orthonormal frame
Abstract
We propose an effective geometrical approach to recover the normal form of a given Elasticity tensor, once we know its symmetry class. In other words, we produce a rotation which brings an Elasticity tensor onto its normal form, given its components in any orthonormal frame, and this for any tensor of any symmetry class. Our methodology relies on the use of specific covariants and on the geometric characterization of each symmetry class using these covariants. An algorithm to detect the symmetry class of an Elasticity tensor is finally formulated.
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Taxonomy
TopicsElasticity and Material Modeling · Advanced Numerical Analysis Techniques · Seismic Imaging and Inversion Techniques
