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Keywords: constitutive modeling; multiphysics; inverse parameter identification; uncertainty quantification; data driven modeling
Organizers:
Nina Reiter - (1)
Jan Hinrichsen - (1)
Sebastian Brandstaeter - (2)
Christian Bleiler - (3)
Renate Sachse - (4)
Affiliations:
(1) Institute of Continuum Mechanics and Biomechanics, Department of Mechanical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
(2) Institute for Mathematics and Computer-Based Simulation, University of the Bundeswehr Munich, Germany
(3) Institute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Germany
(4) Chair of Structural Analysis, Technical University of Munich, Germany
Abstract:
Models that capture the behavior of biological systems are highly valuable tools to assist understanding, diagnosis, treatment, or prevention of injury and disease. However, modeling the behavior of biological systems is challenging due to complex interactions between biological, chemical, and mechanical mechanisms. Additionally, the modeled processes happen on varying time and length scales, ranging from seconds to months and cell to organ scale, respectively. This calls for a collaborative effort from multiple disciplines. Biomechanical testing, constitutive modeling and inverse parameter identification enable the (mechanical) characterization of biological materials. Multiphysics models capture interactions between chemical, mechanical and biological mechanisms, while multi-scale approaches enable the simulation of longer or organ-scale processes. Uncertainty quantification is of utmost importance due to the variance found in biological data, and the integration of data driven approaches enables leveraging vast amounts of patient specific data. This minisymposium aims to provide researchers with the opportunity to present recent advances in the field and give them the opportunity to connect with others. We welcome contributions that encompass computational models, numerical methods and/or novel experimental approaches with potential applications in the field of biomechanics and biomedical engineering.