Implementation and parametric study of J-integral data reduction methods for the translaminar toughness of hierarchical thin-ply composites

Three different J-integral formulations to derive the experimental translaminar toughness of composites from compact tension tests with a large-scale fracture process zone are implemented and discussed. They improve the existing approaches by taking advantage of stereo-digital image correlation to acquire full-field displacement fields. A field fitting procedure based on robust and efficient piecewise cubic smooth splines addresses noise-related issues reported in previous studies. Additionally, the paper proposes a novel crack tip extraction procedure to report the energy release rate as a function of the crack increment, even if knowledge of the crack tip is not required for the proposed J-integral method. The three methods are discussed in light of a parametric study conducted on synthetic and experimental data, including artificially noisy data. The study reveals that the proposed J-integral methods are suitable for translaminar toughness evaluation of a wide range of materials without the need for restrictive assumptions. However, variations in propagation values were observed when applied to experimental data. Finally, guidelines are drawn to chose the most suitable parameters for the algorithms that are proposed as a Python package.

Automated summary

Three different J-integral formulations, which improve the existing approaches by using stereo-digital image correlation, are implemented and discussed to derive the experimental translaminar toughness of composites. A field fitting procedure and a crack tip extraction procedure are proposed to address noise-related issues and report the energy release rate as a function of the crack increment. A parametric study conducted on synthetic and experimental data reveals the suitability of the proposed J-integral methods for translaminar toughness evaluation.