Statistical modeling of effective elastic modulus for multiphased hybrid composites. (February 2015)

• Record Type: Journal Article
• Authors: Lee, Doo Jin; Hwang, Soon Hyoung; Song, Young Seok; Youn, Jae Ryoun
• Is Part Of: Polymer testing. Volume 41(2015:Feb.)
• Page Start: 99
• Page End: 105
• Publication Date: 2015-02
• Subjects: Hybrid -- Anisotropy -- Statistical properties -- Non-destructive testing; Polymers -- Testing -- Periodicals; Polymères -- Tests -- Périodiques; 620.1920287
• DOI: 10.1016/j.polymertesting.2014.10.014
• Languages: English
• ISSNs: 0142-9418

Abstract

Abstract: We explored the effective elastic moduli of hybrid composites by using different statistical models to understand and analyze the effect of fiber length distribution (FLD) on the mechanical properties. Micro-CT was used to investigate the internal structure of the hybrid composites, and FLD was calculated via image-processing for the composite samples. The interaction between inclusions and matrix was considered using a perturbed stress-strain theory. Statistical modeling with the Weibull, Log-normal and Generalized Extreme Value (GEV) functions was carried out to understand the role of skewness. The results show that different skewness and FLD have significant impacts on the effective elastic moduli of the hybrid composites, which demonstrates the practical importance of statistical modeling when evaluating and analyzing the their mechanical properties.