@Article{icces.2023.09998,
AUTHOR = {Xiaoding Wei, Wenqing Zhu, Junjie Liu},
TITLE = {A Multiscale Model Predicting the Impact Performance of FiberReinforced Composites},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {25},
YEAR = {2023},
NUMBER = {2},
PAGES = {1--1},
URL = {http://www.techscience.com/icces/v25n2/53837},
ISSN = {1933-2815},
ABSTRACT = {Fiber-reinforced polymer composites with excellent impact energy absorption properties play a pivotal role 
in the safety of spacecraft, protection of military personnel and equipment, as well as high-speed 
transportation. Research on the impact performance of composite materials has always relied mainly on 
expensive experiments and large-scale simulations. In this talk, we will introduce the “dynamic shear-lag 
model” by extending the classical shear-lag model to the dynamic domain. The dynamic shear-lag model 
reveals the transfer characteristics of impact energy in the microstructure scale of composite materials, and 
establishes a quantitative relationship between the " composition-microstructure-performance" of 
composite materials under impact loading. The model constructs the energy dissipation ratio frequency 
spectrum function that describes the energy dissipation characteristics of composite materials at different 
frequencies, whose mathematical form is only related to the dimensionless frequency and dimensionless 
viscosity. Based on this, we derived a multiscale theoretical model for predicting the impact ballistic limit 
velocity (V50) of composite panels, explaining the dependence of the composite material's impact limit on 
the matrix mechanical properties observed in previous experiments.},
DOI = {10.32604/icces.2023.09998}
}