Matthias Mayr
Senior Researcher & Lecturer
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About
Dr. Matthias Mayr is a Senior Researcher and Lecturer at the University of the Bundeswehr Munich, Germany. His research focuses on numerical simulations and preconditioning techniques in engineering, particularly in areas such as fluid-structure interaction, finite element methods, and computational kernels. Recent publications include work on mixed-dimensional interactions and the development of efficient algorithms for solving complex engineering problems.
Articles (11)
Summary The present article proposes a partitioned Dirichlet‐Neumann algorithm, that allows to address unique challenges arising from a novel mixed‐dimensional coupling of very slender fibers embedded in fluid flow using a regularized mortar‐type finite element discretization. The fibers are modeled via one‐dimensional (1D) partial differential equations based on geometrically exact nonlinear beam theory, while the flow is described by the three‐dimensional (3D) incompressible Navier‐Stokes equations. The arising truly mixed‐dimensional 1D‐3D coupling scheme constitutes a novel approximate model and numerical strategy, that naturally necessitates specifically tailored solution schemes to ensure an accurate and efficient computational treatment. In particular, we present a strongly coupled partitioned solution algorithm based on a Quasi‐Newton method for applications involving fibers with high slenderness ratios that usually present a challenge with regard to the well‐known added mass effect. The influence of all employed algorithmic and numerical parameters, namely the applied acceleration technique, the employed constraint regularization parameter as well as shape functions, on efficiency and results of the solution procedure is studied through appropriate examples. Finally, the convergence of the two‐way coupled mixed‐dimensional problem solution under uniform mesh refinement is demonstrated, a comparison to a 3D reference solution is performed, and the method's capabilities in capturing flow phenomena at large geometric scale separation is illustrated by the example of a submersed vegetation canopy.
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2024
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2024
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2024
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2023
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2023
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2022
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2022
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2021
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2020
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2020
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2020
Collaborators (4)
Jan S. Kirschke
Technical University of Munich
Alexander Popp
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Michael W. Gee
Assoc. Professor
TU Munich
Maria Rosaria Marulli
Assistant Professor
Scuola IMT Alti Studi Lucca
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