PSI - Issue 41

America Califano et al. / Procedia Structural Integrity 41 (2022) 145–157 Author name / Structural Integrity Procedia 00 (2019) 000–000

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Sidorov, O. and Hardeberg, J.Y., 2019. Craquelure as a graph: Application of image processing and graph neural networks to the description of fracture patterns, Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019, pp. 1429–1436. Sizyakin, R., Cornelis, B., Meeus, L., Dubois, H., Martens, M., Voronin, V. and Pizurica, A., 2020. Crack Detection in Paintings Using Convolutional Neural Networks, IEEE Access, Vol. 8, pp. 74535–74552. Zhang, R., Wood, J.D., Young, C.R.T., Taylor, A.C., Balint, D.S. and Charalambides, M.N., 2021. A numerical investigation of interfacial and channelling crack growth rates under low-cycle fatigue in bi-layer materials relevant to cultural heritage, Journal of Cultural Heritage, Elsevier Masson SAS, Vol. 49, pp. 70–78.