Octree Optimized Micrometric Fibrous Microstructure Generation for Domain Reconstruction and Flow Simulation

Over recent decades, tremendous advances in the field of scalable numerical tools and mesh immersion techniques have been achieved to improve numerical efficiency while preserving a good quality of the obtained results. In this context, an octree-optimized microstructure generation and domain recons...

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Bibliographic Details
Published in:Entropy (Basel, Switzerland) Switzerland), 2021-09, Vol.23 (9), p.1156
Main Authors: Aissa, Nesrine, Douteau, Louis, Abisset-Chavanne, Emmanuelle, Digonnet, Hugues, Laure, Patrice, Silva, Luisa
Format: Article
Language:English
Subjects:
Algorithms
Boxes
Computation
domain reconstruction
Domains
Engineering Sciences
Finite element method
Flow simulation
Materials
Mathematical analysis
Microstructure
microstructure generation
octree optimization
Octrees
Optimization
Permeability
permeability computing
Reconstruction
Simulation
Stokes flow
Tensors
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Summary:Over recent decades, tremendous advances in the field of scalable numerical tools and mesh immersion techniques have been achieved to improve numerical efficiency while preserving a good quality of the obtained results. In this context, an octree-optimized microstructure generation and domain reconstruction with adaptative meshing is presented and illustrated through a flow simulation example applied to permeability computation of micrometric fibrous materials. Thanks to the octree implementation, the numerous distance calculations in these processes are decreased, thus the computational complexity is reduced. Using the parallel environment of the ICI-tech library as a mesher and a solver, a large scale case study is performed. The study is applied to the computation of the full permeability tensor of a three-dimensional microstructure containing 10,000 fibers. The considered flow is a Stokes flow and it is solved with a stabilized finite element formulation and a monolithic approach.
ISSN:1099-4300
1099-4300
DOI:10.3390/e23091156