Characterization, synthetic generation, and statistical equivalence of composite microstructures
| Autor: | Ercole J Barsotti, Ray S. Fertig, Seyed Hamid Reza Sanei, David A. Leonhardt |
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| Rok vydání: | 2016 |
| Předmět: |
Length scale
Engineering drawing Work (thermodynamics) Materials science Mechanical Engineering Composite number 02 engineering and technology 021001 nanoscience & nanotechnology Microstructure Uncorrelated Characterization (materials science) 020303 mechanical engineering & transports 0203 mechanical engineering Mechanics of Materials Materials Chemistry Ceramics and Composites Fiber Composite material 0210 nano-technology Biological system Equivalence (measure theory) |
| Zdroj: | Journal of Composite Materials. 51:1817-1829 |
| ISSN: | 1530-793X 0021-9983 |
| DOI: | 10.1177/0021998316662133 |
| Popis: | Mechanical behavior and reliability of composites are driven significantly by microstructural variability. Such variability can be present in the form of both morphological and constituent property variability. To understand the effect of this variability on macroscopic mechanical behavior, many statistically equivalent microstructures must be evaluated. This requires the ability to generate such microstructures. In this work, morphological variability was quantified by image analysis of actual microstructures. To reproduce this variability, a methodology was developed in which random microstructures are generated and subsequently adjusted to simultaneously match both short- and long-range statistics of actual microstructures. Synthetic microstructures were generated at a length scale of 70 µm, corresponding to the length scale at which fiber volume fractions of adjacent microstructures are uncorrelated. The utility of this methodology was also demonstrated for larger microstructures containing defects such as alignment fibers, voids and resin seams. |
| Databáze: | OpenAIRE |
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