Sensitivity of Arterial Hyperelastic Models to Uncertainties in Stress-Free Measurements

Journal of Biomechanical Engineering
Nir EmunaShmuel Osovski

Abstract

Despite major advances made in modeling vascular tissue biomechanics, the predictive power of constitutive models is still limited by uncertainty of the input data. Specifically, key measurements, like the geometry of the stress-free (SF) state, involve a definite, sometimes non-negligible, degree of uncertainty. Here, we introduce a new approach for sensitivity analysis of vascular hyperelastic constitutive models to uncertainty in SF measurements. We have considered two vascular hyperelastic models: the phenomenological Fung model and the structure-motivated Holzapfel-Gasser-Ogden (HGO) model. Our results indicate up to 160% errors in the identified constitutive parameters for a 5% measurement uncertainty in the SF data. Relative margins of errors of up to 30% in the luminal pressure, 36% in the axial force, and over 200% in the stress predictions were recorded for 10% uncertainties. These findings are relevant to the large body of studies involving experimentally based modeling and analysis of vascular tissues. The impact of uncertainties on calibrated constitutive parameters is significant in context of studies that use constitutive parameters to draw conclusions about the underlying microstructure of vascular tissues, thei...Continue Reading

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Citations

Jan 22, 2020·Journal of Biomechanical Engineering·Nir Emuna, David Durban
Oct 5, 2021·International Journal for Numerical Methods in Biomedical Engineering·Bruno V RegoJay D Humphrey

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