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
More filters
Journal ArticleDOI
Poro-viscoelastic effects during biomechanical testing of human brain tissue
Alexander Greiner,Nina Reiter,Friedrich Paulsen,Gerhard Holzapfel,Paul Steinmann,Ester Comellas,Silvia Budday +6 more
TL;DR: In this article, a nonlinear poro-viscoelastic computational model was used to evaluate the effect of different intrinsic material properties (permeability, shear moduli, nonlinearity, viscosity) on the tissue response during different quasi-static biomechanical measurements, i.e., large-strain compression and tension as well as indentation experiments.
Journal ArticleDOI
A Pilot Study on Biaxial Mechanical, Collagen Microstructural, and Morphological Characterizations of a Resected Human Intracranial Aneurysm Tissue
Devin W. Laurence,Hannah B. Homburg,Feng Yan,Qinggong Tang,Kar Ming Fung,Bradley N. Bohnstedt,Gerhard Holzapfel,Gerhard Holzapfel,Chung-Hao Lee +8 more
TL;DR: This pilot study comprehensively quantified the mechanical, collagen fiber microstructural, and morphological properties of a resected human posterior inferior cerebellar artery aneurysm and can be used to develop accurate constitutive models to use in computational models of the aneurYSm hemodynamics, growth, and remodeling.
3D crack propagation in unreinforced concrete. Physical modeling and numerical analyses
Gerhard Holzapfel,Thomas Gasser +1 more
Journal ArticleDOI
An ultrastructural 3D reconstruction method for observing the arrangement of collagen fibrils and proteoglycans in the human aortic wall under mechanical load.
Anna Pukaluk,Anna Wittgenstein,Gerd Leitinger,Dagmar Kolb,Dominique Pernitsch,Sarah A. Schneider,Patrick Knöbelreiter,Verena Horak,Kristian Bredies,Gerhard Holzapfel,Thomas Pock,Gerhard Sommer +11 more
TL;DR: In this paper , the arrangement of collagen fibrils and proteoglycans (PGs) within the mechanically loaded aortic wall was investigated using convolutional neural networks.
A Kernel Interpolation Based Fast Multipole Method for Elastodynamic Problems
Thomas Traub,Günter Brenn,Gerhard Holzapfel,Wolfgang von der Linden,Martin Schanz,Johannes Khinast +5 more
TL;DR: A Chebyshev interpolation based multi-level fast multipole method (FMM) to reduce memory and computational cost of the 3D elastodynamic boundary integral operators and the applicability of the proposed FMM to transient problems treated with the Convolution Quadrature Method is investigated.