Browsing by Author "Steinmann, Paul"
Now showing items 1-5 of 5
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Homogenization and modeling of fiber structured materials
Fillep, Sebastian; Steinmann, Paul (CIMNE, 2011)
Conference report
Open AccessFor the mechanical modeling and simulation of the heterogeneous composition of a fiber structured material, the material properties at the micro level and the contact between the fibers have to be taken into account. The ... -
Modeling the porous and viscous responses of human brain tissue behavior
Comellas Sanfeliu, Ester; Budday, Silvia; Pelteret, Jean-Paul; Holzapfel, Gerhard A.; Steinmann, Paul (2020-09-01)
Article
Open AccessThe biomechanical characterization of human brain tissue and the development of appropriate mechanical models is crucial to provide realistic computational predictions that can assist personalized treatment of neurological ... -
Plastic dislocation and incompatibility density as indicators for residual stresses
Landkammer, Philipp; Steinmann, Paul (CIMNE, 2019)
Conference report
Open AccessResidual stresses in forming simulations are typically investigated by analyzing the remaining stress state after removing all external loadings. However, the generation of the stress state during forming remains unknown. ... -
Poro-viscoelastic effects during biomechanical testing of human brain tissue
Greiner, Alexander; Reiter, Nina; Paulsen, Friedrich; Holzapfel, Gerhard A.; Steinmann, Paul; Comellas Sanfeliu, Ester; Budday, Silvia (2021-08-17)
Article
Open AccessBrain tissue is one of the softest tissues in the human body and the quantification of its mechanical properties has challenged scientists over the past decades. Associated experimental results in the literature have been ... -
Poro-viscoelastic material parameter identification of brain tissue-mimicking hydrogels
Kainz, Manuel; Greiner, Alexander; Hinrichsen, Jan; Kolb, Dagmar; Comellas Sanfeliu, Ester; Steinmann, Paul; Budday, Silvia; Terzano, Michele; Holzapfel, Gerhard A. (Frontiers Media SA, 2023-04-10)
Article
Open AccessUnderstanding and characterizing the mechanical and structural properties of brain tissue is essential for developing and calibrating reliable material models. Based on the Theory of Porous Media, a novel nonlinear ...