C
Christian J. Cyron
Researcher at Hamburg University of Technology
Publications - 81
Citations - 2420
Christian J. Cyron is an academic researcher from Hamburg University of Technology. The author has contributed to research in topics: Computer science & Finite element method. The author has an hindex of 20, co-authored 63 publications receiving 1647 citations. Previous affiliations of Christian J. Cyron include Mechanics' Institute & Max Planck Society.
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Isogeometric structural shape optimization
TL;DR: The presented isogeometric approach to shape optimization, the analysis model is inherently merged with the design model, omitting the typically involved interplay between both and derive analytical sensitivities for NURBS discretizations which allow application of efficient gradient-based optimization algorithms.
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A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics
Frederic E. Bock,Roland C. Aydin,Christian J. Cyron,Christian J. Cyron,Norbert Huber,Norbert Huber,Surya R. Kalidindi,Benjamin Klusemann,Benjamin Klusemann +8 more
TL;DR: It is shown that experiment- and simulation-based data mining in combination with machine leaning tools provide exceptional opportunities to enable highly reliant identification of fundamental interrelations within materials for characterization and optimization in a scale-bridging manner.
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Growth and remodelling of living tissues: perspectives, challenges and opportunities
Davide Carlo Ambrosi,Martine Ben Amar,Christian J. Cyron,Christian J. Cyron,Antonio DeSimone,Alain Goriely,Jay D. Humphrey,Ellen Kuhl +7 more
TL;DR: The current state of growth and remodelling as it applies primarily to soft tissues is reviewed, and a perspective on critical challenges and future directions is provided.
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Growth and remodeling of load-bearing biological soft tissues
TL;DR: The two primary theoretical approaches for describing mechano-regulated soft tissue growth and remodeling on the continuum level as well as hybrid approaches that attempt to combine the advantages of these two approaches while avoiding their disadvantages are reviewed.
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A homogenized constrained mixture (and mechanical analog) model for growth and remodeling of soft tissue
TL;DR: This paper presents a temporally homogenized constrained mixture model that combines advantages of both classical approaches, namely a biologically motivated micromechanical foundation, a simple computational implementation, and low computational cost and suggests an intimate relationship between models of growth and remodeling and viscoelasticity.