Dimensional reduction technique for the prediction of global and local responses of unidirectional composite with matrix nonlinearity and varying fiber packing geometry-Reference-Cited by-同舟云学术

Dimensional reduction technique for the prediction of global and local responses of unidirectional composite with matrix nonlinearity and varying fiber packing geometry

Published:2024-07-13 Issue: Volume: Page:
ISSN:0177-0667
Container-title:Engineering with Computers
language:en
Short-container-title:Engineering with Computers

Author:

Jamnongpipatkul A.,Naets F.,Gilabert F. A.

Funder

SIM (Strategic Initiative Materials in Flanders) and VLAIO

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00366-024-02024-9.pdf

Reference70 articles.

1. Geers MGD, Kouznetsova VG, Brekelmans WAM (2010) Multi-scale computational homogenization: Trends and challenges. J Comput Appl Math 234:2175–2182. https://doi.org/10.1016/j.cam.2009.08.077

2. Drugan WJ, Willis JR (1996) A micromechanics-based nonlocal constitutive equations and estimates of representative volume element size for elastic composites. J Mech Phys Solids 44:497–524. https://doi.org/10.1016/0022-5096(96)00007-5

3. Vaughan TJ, McCarthy CT (2010) A combined experimental-numerical approach for generating statistically equivalent fibre distributions for high strength laminated composite materials. Compos Sci Technol 70(2):291–297. https://doi.org/10.1016/j.compscitech.2009.10.020

4. Sanei SHR, Fertig RS (2015) Uncorrelated volume element for stochastic modeling of microstructures based on local fiber volume fraction variation. Compos Sci Technol 117:191–198. https://doi.org/10.1016/j.compscitech.2015.06.010

5. Estevez R, Maire E, Franciosi P, Wilkinson D (1999) Effect of particle clustering on the strengthening versus damage rivalry in particulate reinforced elastic plastic materials: a 3-d analysis from a self-consistent modelling. Eur J Mech A Solid 18(5):785–804. https://doi.org/10.1016/S0997-7538(99)00123-0