Probabilistic multiscale analysis of three-phase composite material considering uncertainties in both physical and geometrical parameters at microscale
| Autor: | Daichi Kurita, Naoki Takano, Pin Wen |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
Mechanical Engineering Computational Mechanics Nonparametric statistics Probabilistic logic Perturbation (astronomy) 02 engineering and technology 021001 nanoscience & nanotechnology Homogenization (chemistry) 020303 mechanical engineering & transports 0203 mechanical engineering Solid mechanics Composite material 0210 nano-technology Porosity Microscale chemistry Randomness |
| Zdroj: | Acta Mechanica. 227:2735-2747 |
| ISSN: | 1619-6937 0001-5970 |
| DOI: | 10.1007/s00707-016-1640-3 |
| Popis: | A probabilistic multiscale framework is proposed to characterize the probabilistic behaviors of macroscopic elastic properties of multiphase composite materials. The first-order perturbation-based stochastic homogenization method is extended to incorporate inherent randomness existed in multiphase constituents materials on basis of our previous work for porous material. Moreover, a generalized stochastic method is introduced to combine above with morphological nonparametric uncertainties. A numerical example for coated particulate composite material demonstrated the feasibility and effectiveness of proposed methods. |
| Databáze: | OpenAIRE |
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