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20182023
most citedA multiphysics modeling approach for in-stent restenosis: Theoretical aspects and finite element implementation

2 citations · 2 across the 3 of their papers we have counts for

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cs.CE2023

Mechanical modeling of the maturation process for tissue-engineered implants: application to biohybrid heart valves

Mahmoud Sesa, Hagen Holthusen, Lukas Lamm +4

The development of tissue-engineered cardiovascular implants can improve the lives of large segments of our society who suffer from cardiovascular diseases. Regenerative tissues ar…

cs.CE20222 cited

A multiphysics modeling approach for in-stent restenosis: Theoretical aspects and finite element implementation

Kiran Manjunatha, Marek Behr, Felix Vogt +1

Development of in silico models are intrinsic in understanding disease progression in soft biological tissues. Within this work, we propose a fully-coupled Lagrangian finite elemen…

cs.CE2021

A geometrically adapted reduced set of frequencies for a FFT-based microstructure simulation

Christian Gierden, Johanna Waimann, Bob Svendsen +1

We present a modified model order reduction (MOR) technique for the FFT-based simulation of composite microstructures. It utilizes the earlier introduced MOR technique (Kochmann et…

cs.CE2021

A novel approach for the efficient modeling of material dissolution in electrochemical machining

Tim van der Velden, Bob Rommes, Andreas Klink +2

This work presents a novel approach to efficiently model anodic dissolution in electrochemical machining. Earlier modeling approaches employ a strict space discretization of the an…

cs.CE2020

Finite element modelling of in-stent restenosis

Kiran Manjunatha, Marek Behr, Felix Vogt +1

From the perspective of coronary heart disease, the development of stents has come significantly far in reducing the associated mortality rate, drug-eluting stents being the epitom…

cs.CE2020

Model-free Data-Driven Computational Mechanics Enhanced by Tensor Voting

Robert Eggersmann, Laurent Stainier, Michael Ortiz +1

The data-driven computing paradigm initially introduced by Kirchdoerfer & Ortiz (2016) is extended by incorporating locally linear tangent spaces into the data set. These tangent s…