Detail publikace

NON-LINEAR REGRESSION APPLICATION IN IDENTIFICATION OF HYPERELASTIC CONSTITUTIVE MODELS OF SOFT TISSUES

VAJDÁK, M.

Originální název

NON-LINEAR REGRESSION APPLICATION IN IDENTIFICATION OF HYPERELASTIC CONSTITUTIVE MODELS OF SOFT TISSUES

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Choice of a convenient constitutive model for computational modelling of soft tissues is an important assumption of model reliability. The optimal shape of constitutive equations depends not only on the type of material behaviour (isotropic or orthotropic, elastic or viscoelatic, etc.) but on the deformation range to be described as well. For example in blood vessel walls, there are mostly 2D or 3D stress states. If a hyperelastic constitutive model is based (because of a lack of experimental data) on uniaxial tension tests only, the results for biaxial stress states can be quite false, because of transversal strains differing from the test. Methods of regression, which are able to improve the model behaviour, and comparison of predictive capability of models are presented in the paper.

Klíčová slova v angličtině

non-linear regression, constitutive relations, soft tissues, identification of properties

Autoři

VAJDÁK, M.

Rok RIV

2003

Vydáno

12. 5. 2003

Nakladatel

Association for Engineering Mechanics

Místo

Svratka, CZ

ISBN

80-86246-18-3

Kniha

Engineering Mechanics 2003

Strany od

¨360

Strany počet

2