An adaptive multi-temperature isokinetic method for the RVE generation of particle reinforced heterogeneous materials, Part II: Numerical assessment and statistical analysis

• Type: Article in International Scientific Journal
• Date: 2022

Authors

Ferreira, BP (Author) Other; Vila Cha, JLP (Author) Other; F.M. Andrade Pires (Author) FEUP

Journal

Title: Mechanics of Materials

Vol. 165

ISSN: 0167-6636

Publisher: Elsevier

Indexing

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Other information

Authenticus ID: P-00V-Q8A

DOI: 10.1016/j.mechmat.2021.104068

Abstract (EN): This contribution presents the application of a new computational generation method for high-fidelity representative volume elements (RVEs) composed of particle-reinforced materials coined AMINO (Adaptive Multi-temperature Isokinetic Method). The theoretical formulation and the computational framework of the method are described in Part I. Here, the focus is placed on the generation of a large set of RVEs for two and three-dimensional cases, covering a broad range of particles and volume fractions following specific statistical distributions, highlighting AMINO's efficiency, robustness, and flexibility. Detailed statistical analysis and quantitative comparisons with real micrographs demonstrate that AMINO can generate high-fidelity computational microstructures that closely resemble experimental observations. The geometrical interpretation of the so-called Minkowski structure metrics is further explored, and these are shown to be suitable tools to characterize particle-reinforced materials' microstructures. Therefore, AMINO fulfills the requirements to be integrated into the recent paradigm of data-driven materials design based on multi-scale modeling.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 25