G
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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Journal ArticleDOI
Perspectives on Sharing Models and Related Resources in Computational Biomechanics Research.
Ahmet Erdemir,Peter Hunter,Gerhard Holzapfel,Leslie M. Loew,John Middleton,Christopher R. Jacobs,Perumal Nithiarasu,Rainlad Löhner,Guo-Wei Wei,Beth A. Winkelstein,Victor H. Barocas,Farshid Guilak,Joy P. Ku,Jennifer L. Hicks,Scott L. Delp,Michael S. Sacks,Jeffrey A. Weiss,Gerard A. Ateshian,Steve A. Maas,Andrew D. McCulloch,Grace C.Y. Peng +20 more
TL;DR: Current perspectives in the biomechanics community for the sharing of computational models and related resources indicate that the community recognizes the necessity and usefulness of model sharing.
Journal ArticleDOI
Mechanical response of human subclavian and iliac arteries to extension, inflation and torsion.
Gerhard Sommer,Christoph Benedikt,Justyna A. Niestrawska,Gloria Hohenberger,Christian Viertler,Peter Regitnig,Tina Cohnert,Gerhard Holzapfel,Gerhard Holzapfel +8 more
TL;DR: The biomechanical differences explored in this study are well reflected by the microstructure of the collagen and the histology of the investigated arteries, and the results can improve trauma patient care and endovascular implant design.
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A discrete approach for modeling degraded elastic fibers in aortic dissection
TL;DR: In this article, the degradation of inter-lamellar elastic fibers in the aortic media is considered and a constitutive model is proposed to study the influence of degraded radially-directed elastic fibers on the stress distribution.
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Predictive constitutive modelling of arteries by deep learning.
TL;DR: In this paper, a hybrid modelling framework that combines advanced theoretical concepts with deep learning was proposed to predict the stress-stretch curves of soft biological tissues. But the model was trained with data from 27 tissue samples only.
Journal ArticleDOI
A new two-point deformation tensor and its relation to the classical kinematical framework and the stress concept
Nikolaus Böck,Gerhard Holzapfel +1 more
TL;DR: In this article, a new two-point deformation tensor, H=(F−F−T)/2, is introduced as a possible deformation measure involving points in two distinct configurations, and the Lie derivative of H is work conjugate to the first Piola-Kirchhoff stress tensor P.