Parameterization, statistical measurement and numerical modeling of fluctuated meso/micro-structure of plain woven fabric GFRP laminate for quantification of geometrical variability
This paper proposed a stochastic multiscale modeling method by parameterization and quantification of the fluctuated meso/micro-structure of plain woven fabric glass fiber reinforced plastics (GFRP) fabricated by hand layup. The experimental results of static tensile tests of 25 specimens made by 5...
Guardado en:
| Autores principales: | , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
The Japan Society of Mechanical Engineers
2017
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/3a0d3d8525e540bdacf1e53b512182cf |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Sumario: | This paper proposed a stochastic multiscale modeling method by parameterization and quantification of the fluctuated meso/micro-structure of plain woven fabric glass fiber reinforced plastics (GFRP) fabricated by hand layup. The experimental results of static tensile tests of 25 specimens made by 5 persons showed large scattering and the macroscopic parameters could not enough explain the variability. Hence, the meso/micro-structure based stochastic multiscale method was presented first, and its geometrical modeling technique was deeply studied in this paper. By the observation of the specimens, fluctuated geometrical features were parameterized. The defined parameters were statistically measured. The generated 2D models could express the realistic meso/micro-structures. It should be noted that the nesting in laminated composites and the distributed fiber volume fraction were included in the proposed modeling method. |
|---|