Computational Homogenization of Thin-Shell Microstructures
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2024
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Universidad Rey Juan Carlos
Resumen
Microstructures, ubiquitous in everyday materials such as cloth, foams, and honeycombs,
influence the physical properties and behaviors of materials at a macroscopic
level. Advances in fabrication technologies have facilitated the design of engineered
microscale structures, unlocking a new spectrum of materials with unprecedented
properties. These developments challenge traditional modeling and simulation
approaches due to increased geometric and kinematic complexities. This thesis
addresses these challenges through advanced homogenization strategies that bridge
the gap between microscale phenomena and macroscale behaviors.
The first part of the thesis introduces a novel continuum scale model that utilizes
high-order interpolants. This model enhances the simulation of complex materials by
accurately capturing the nonlinear and anisotropic behaviors intrinsic to microstructured
materials. The development of this model is supported by a comprehensive
pipeline, which includes the generation of detailed training data and an optimized
fitting process to ensure the robustness and accuracy of the simulations.
In the second part, we focus specifically on the homogenization of microstructured
sheets, adapting our earlier methods to suit the particular challenges of surface
simulations. This adaptation addresses the limitations of traditional volumetric methods
in dealing with thin materials, enhancing the practicality of our computational
models for real-world applications.
The contributions of this thesis aim to enhance the theoretical understanding and
practical application of material homogenization. By providing these new methods
and insights, this thesis hopes to support further research and development in fields
where the customizability of material properties is increasingly crucial.
Descripción
Tesis Doctoral leída en la Universidad Rey Juan Carlos de Madrid en 2024. Directores:
Miguel A. Otaduy Tristán
Jesús Pérez
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