Determination of mode I dynamic fracture toughness of IM7-8552 composites by digital image correlation and machine learning

Citation:
Cidade, Rafael A., Daniel S. V. Castro, Enrique M. Castrodeza, Peter Kuhn, Giuseppe Catalanotti, Jose Xavier, and Pedro P. Camanho. "Determination of mode I dynamic fracture toughness of IM7-8552 composites by digital image correlation and machine learning." Composite Structures. 210 (2019): 707-714.

Abstract:

An optical experimental procedure for evaluating the J-Integral from full-field displacement fields under dynamic loading is proposed in this work. The methodology is applied to measure the J-integral in the dynamic compressive loading of fiber-reinforced composites and to calculate the dynamic fracture toughness associated with the propagation of a kink-band. A modified J-Integral that considers inertia effects is calculated over the full-field measurements obtained by digital image correlation, for double edge-notched specimen of IM7-8552 laminates dynamically loaded in a split-Hopkinson pressure bar (SHPB). A sensibility study is conducted to address the influence of the speckle parameters. The results show good agreement with experimental observations obtained by using a different data reduction method, suggesting the existence of a rising R-curve for the studied material under dynamic loading. Furthermore, it was noticed that the inertia effect can be negligible, indicating a state of dynamic equilibrium in which quasi-static approaches may comfortably be used.

Notes:

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