Three-Dimensional Reconstruction of Statistically Optimal Unit Cells of Multimodal Particulate Composites
| Autor: | D. Rypl, B. C. Collins, Karel Matouš |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Propellant
Materials science Computer Networks and Communications business.industry Computational Mechanics Multiscale modeling Characterization (materials science) Domain (software engineering) Nonlinear system Matrix (mathematics) Software Control and Systems Engineering Tearing Composite material business |
| Zdroj: | International Journal for Multiscale Computational Engineering. 8:489-507 |
| ISSN: | 1543-1649 |
| DOI: | 10.1615/intjmultcompeng.v8.i5.50 |
| Popis: | In the current digital age, it is befitting that complex heterogeneous materials, such as solid propellants, are characterized by digital computational and/or experimental techniques. Of those, micro computer tomography (micro-CT) and advanced packing algorithms are the most popular for identifying the statistics of multimodal, random, particulate composites. In this work, we develop a procedure for the characterization and reconstruction of periodic unit cells of highly filled, multimodal, particulate composites from a packing algorithm. Rocpack, a particle packing software, is used to generate the solid propellant microstructures and one-, twoand three-point probability functions are used to describe their statistical morphology. However, both the experimentally scanned or computationally designed packs are usually non optimal in size and likely too big to be fully numerically resolved when complex nonlinear processes such as combustion, decohesion, matrix tearing, etc. are modeled. Thus, domain Accepted for publication in the International Journal for Multiscale Computational Engineering. Corresponding author: kmatous@nd.edu (K. Matous) |
| Databáze: | OpenAIRE |
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