Issue 77

T. Hachimi et alii, Fracture and Structural Integrity, 77 (2026) 173-206; DOI: 10.3221/IGF-ESIS.77.11

[25] Diani, J., Geraud, G., Coq, A., Kuzyara, V. (2026). Stamps for Pattern Applications for DIC or Markers Tracking, Experimental Techniques 2026, pp. 1–11. DOI: https://doi.org/10.1007/s40799-026-00875-z [26] Dong, Y.L., Pan, B. (2017). A Review of Speckle Pattern Fabrication and Assessment for Digital Image Correlation, Exp. Mech., 57(8), pp. 1161–1181. DOI: https://doi.org/10.1007/S11340-017-0283-1 [27] Du, J., Zhao, J., Zhao, J., Zhao, J., Liu, J., Liu, J., Zhao, D., Zhao, D., Zhao, D. (2024). Radial basis point interpolation for strain field calculation in digital image correlation, Applied Optics, 63(14), pp. 3929–3943. DOI: https://doi.org/10.1364/ao.520232 [28] Enriconi, M., Rodriguez, R., Araújo, M., Rocha, J., García-Martín, R., Ribeiro, J., Pisonero, J., Rodríguez-Martín, M. (2025). A Comprehensive Review of Fused Filament Fabrication: Numerical Modeling Approaches and Emerging Trends, Applied Sciences, 15(12). DOI: https://doi.org/10.3390/app15126696 [29] Fayad, S.S., Jones, E.M.C., Seidl, D.T., Lambros, J. (2025). Identification Uncertainty in Inverse Material Model Parameter Determination: A Sensitivity-Based Decision Process for Load Path Selection, Strain, 61(3), p. e70007. DOI: https://doi.org/10.1111/str.70007 [30] Fayad, S.S., Jones, E.M.C., Winters, C. (2024). Path-Integrated X-Ray Digital Image Correlation using Synthetic Reference Images, Experimental Techniques 2024 48:6, 48(6), pp. 941–951. DOI: https://doi.org/10.1007/s40799-024-00707-y [31] Feng, M., Yuan, X., Xiao, H., Mou, N., Huang, S. (2025). A loosely coupled serial digital image correlation method based on deep learning, Measurement (Lond), 253. DOI: https://doi.org/10.1016/j.measurement.2025.117783 [32] Fidan, S., Ürgün, S., Ş ahin, A.E., Bora, M.Ö., Y ı lmaz, T., Özsoy, M. İ . (2025). Comprehensive Sliding Wear Analysis of 3D-Printed ABS, PLA, and HIPS: ANOVA, SEM Examination, and Wear Volume Measurements with Varying Layer Thickness, Polymers (Basel)., 17(14). DOI: https://doi.org/10.3390/polym17141899 [33] Fisher, T., Almeida, J.H.S., Falzon, B.G., Kazanc ı , Z. (2023). Tension and Compression Properties of 3D-Printed Composites: Print Orientation and Strain Rate Effects, Polymers 15(7), p. 1708. DOI: https://doi.org/10.3390/POLYM15071708 [34] Fisher, T., Kazanc ı , Z., Almeida, J.H.S. (2024). The importance of print orientation in numerical modelling of 3D printed structures under impact loading, Mater. Res. Express, 11(6), p. 065303. DOI: https://doi.org/10.1088/2053-1591/AD59F1 [35] Franklinv, A., Christopher, T. (2019). Generation of mixed mode I/II failure criteria from MMB specimens: an experimental study, Mater. Res. Express, 6(12), p. 125616. DOI: https://doi.org/10.1088/2053-1591/ab5c8e [36] Fu, Y., Downey, A.R.J., Yuan, L., Huang, H.T., Ogunniyi, E.A. (2025). Simulation-in-the-loop additive manufacturing for real-time structural validation and digital twin development, Addit. Manuf., 98, p. 104631. DOI: https://doi.org/10.1016/j.addma.2024.104631 [37] García de la Yedra, A., Erro, I., Vivas, J., Zubiri, O., Zurutuza, X., Sommerhuber, R., Kettner, M. (2024). Acoustic Emission and Digital Image Correlation-Based Study for Early Damage Identification in Sandwich Structures, Applied Sciences, 14(21). DOI: https://doi.org/10.3390/app14219728 [38] Gehri, N., Mata-Falcón, J., Kaufmann, W. (2020). Automated crack detection and measurement based on digital image correlation, Constr. Build. Mater., 256, p. 119383. DOI: https://doi.org/10.1016/J.CONBUILDMAT.2020.119383 [39] G ł owacki, M., Skórczewska, K., Lewandowski, K., Szewczykowski, P., Mazurkiewicz, A. (2023). Effect of Shock Variable Environmental Temperature and Humidity Conditions on 3D-Printed Polymers for Tensile Properties, Polymers 16(1). DOI: https://doi.org/10.3390/polym16010001 [40] Gong, H., Runzi, M., Wang, Z., Wu, L., Zhang, Y. (2025). Influence of Filament Moisture on 3D Printing Nylon, Technologies 13(8). DOI: https://doi.org/10.3390/technologies13080376 [41] Goyal, A., Timpano, C.S., Melenka, G.W. (2023). Mapping internal strain fields of fused filament fabrication metal filled polylactic acid structure using digital volume correlation, J. Compos. Mater., 57(14), pp. 2311–2324. DOI: https://doi.org/10.1177/00219983231171658 [42] Grédiac, M., Sur, F., Vinel, A., Jailin, T., Blaysat, B. (2025). Predicting Camera Sensor Noise Propagation to Displacement and Strain Maps Retrieved from Checkerboard Patterns with Localized Spectrum Analysis, Experimental Mechanics 65(8), pp. 1237–1257. DOI: https://doi.org/10.1007/s11340-025-01207-9 [43] Guessasma, S., Nouri, H., Belhabib, S. (2022). Digital Image Correlation and Finite Element Computation to Reveal Mechanical Anisotropy in 3D Printing of Polymers, Materials 15(23), p. 8382. DOI: https://doi.org/10.3390/MA15238382 [44] Hachimi, T., Ait Hmazi, F., Arhouni, F.E., Zekriti, N., Doghmi, H., Majid, F. (2026). Damage evolution and fracture behavior in 3D-printed materials: effects of crack propagation and progressive layer degradation, Progress in Additive Manufacturing, 11(3), pp. 2591–2610. DOI: https://doi.org/10.1007/S40964-025-01484-9

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