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Gerhard Holzapfel
Researcher at Norwegian University of Science and Technology
Publications - 445
Citations - 29335
Gerhard Holzapfel is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Finite element method & Constitutive equation. The author has an hindex of 77, co-authored 410 publications receiving 25410 citations. Previous affiliations of Gerhard Holzapfel include Washington University in St. Louis & Graz University of Technology.
Papers
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Proceedings ArticleDOI
Extracting quantitative biomechanical parameters for cartilage from second harmonic generation images
Magnus B. Lilledahl,David M. Pierce,Tim Ricken,Gerhard Holzapfel,Gerhard Holzapfel,Catarina de Lange Davies +5 more
TL;DR: Using image analysis techniques based on the Fourier transform, quantitative threedimensional data of the fiber direction and dispersion of the collagen fiber network in the superficial layer can be used directly in biomechanical models to enhance the fidelity of these models.
Journal ArticleDOI
Changes in the microstructure of the human aortic adventitia under biaxial loading investigated by multi-photon microscopy.
Anna Pukaluk,Heimo Wolinski,Christian Viertler,Peter Regitnig,Gerhard Holzapfel,Gerhard Sommer +5 more
TL;DR: In this article , the changes in collagen and elastin microstructure in response to macroscopic equibiaxial loading applied to the aortic adventitia were quantified with parameters of orientation, dispersion, diameter and waviness.
Book ChapterDOI
Microstructure and Mechanics of Human Aortas in Health and Disease
TL;DR: In this article, a general dispersion model is used to describe the mechanical response of a variety of collagenous tissues such as aortic walls considering three structural and three material parameters.
Journal ArticleDOI
A Coupled Model for the Left Ventricle Including Regional Differences in Structure
TL;DR: In this paper, a coupled model of orthotropic ventricular myocardium is presented using fiber and sheet orientations that is matching regionally measured experimental data to generate a more realistic and homogenized stress distribution.