A multiscale model to predict fatigue crack growth behavior of carbon nanofiber/epoxy nanocomposites

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초록

In this study, we developed a multiscale model for predicting the fatigue crack growth behavior of carbon nanofiber (CNF)/epoxy nanocomposites. Here, we focus on considering the effect of experimentally observed microscopic toughness mechanisms (CNF debonding, subsequent plastic nanovoid growth, and pull-out of CNFs) to predict the fatigue crack growth behavior of CNF/epoxy nanocomposites. The predictions of the multiscale model exhibited a high degree of conformity with experimental data. The results of this study are expected to elucidate the complex phenomenon of fatigue crack growth in nanocomposites with randomly distributed CNFs and provide highly accurate predictions.

키워드

Polymer-matrix nanocompositesFatigueDamage mechanismsMultiscale modelingFRACTURE-TOUGHNESSPOLYMER NANOCOMPOSITESMECHANICAL-PROPERTIESPROPAGATION BEHAVIORCOMPOSITESHOMOGENIZATIONINTERPHASENANOTUBESAGGLOMERATIONSTRENGTH
제목
A multiscale model to predict fatigue crack growth behavior of carbon nanofiber/epoxy nanocomposites
저자
Wang, HaolinShin, Hyunseong
DOI
10.1016/j.ijfatigue.2022.107467
발행일
2023-03
유형
Article
저널명
International Journal of Fatigue
168