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A multiscale model for the prediction of ballistic performance of fiber-reinforced composites
International Journal of Impact Engineering ( IF 5.1 ) Pub Date : 2021-04-16 , DOI: 10.1016/j.ijimpeng.2021.103889
Wenqing Zhu , Junjie Liu , Xiaoding Wei

This study investigates in-depth the effects of dimensions and properties of constituents at microscale on the impact performance of macroscopic fiber-reinforced laminates. A numerical algorithm incorporating the dynamic shear-lag model is developed. Applying the numerical dynamic shear-lag model to three typical impulse forms, a common linear relationship between the optimal dimensionless viscosity and impulse duration emerges. This linear relationship can guide the selection of matrix materials to optimize the energy dissipation. Furthermore, a new multiscale model is established by extending the dynamic shear-lag model to the laminate scale to take into account the contribution to the energy absorption from the matrix. This multiscale model successfully captures the effect of matrix properties on the ballistic limits of aramid fiber and carbon fiber composites from previous experiments by two independent groups.



中文翻译:

预测纤维增强复合材料弹道性能的多尺度模型

这项研究深入研究了微观尺度上成分的尺寸和性能对宏观纤维增强层压板冲击性能的影响。建立了包含动态剪力滞后模型的数值算法。将数值动态剪力滞后模型应用于三种典型的脉冲形式,在最佳无因次粘度和脉冲持续时间之间出现了共同的线性关系。这种线性关系可以指导基质材料的选择,以优化能量耗散。此外,通过将动态剪切滞后模型扩展到层压板规模来建立新的多尺度模型,以考虑对基质吸收能量的贡献。

更新日期:2021-04-22
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