Issue 78

A. Gallo et alii, Fracture and Structural Integrity, 78 (2026) 489-503; DOI: 10.3221/IGF-ESIS.78.28

[21] Susan Thomas, T., Asraff A K., Sam, S. (2014). Ductile Failure Evaluation Using Gurson Model, Proceedings of the National Seminar on ‘Aerospace Structures Technologies- Progress & Outlook’ ASET-2014, June 13-14, 2014, Thiruvananthapuram. DOI: https://doi.org/10.13140/RG.2.1.4033.1600 [22] Tsoupis, I., Merklein, M. (2014). A New Way for the Adaption of Inverse Identified GTN-Parameters to Bending Processes. In Cathie Walton (Eds.), 13th International LS-DYNA Users Conference 2014 (pp. 1-14). Dearborn, Michigan USA. [23] Xiao, Y., Hu, Y. (2019). An extended iterative identification method for the GISSMO model, Metals, 9(5). DOI: https://doi.org/10.3390/met9050568. [24] Xiao, Y., Tang, Q., Hu, Y., Peng, J., Luo, W. (2018). Flow and fracture study for ZK60 alloy at dynamic strain rates and different loading states, Materials Science and Engineering: A, 724, pp. 208–219. DOI: https://doi.org/10.1016/j.msea.2018.03.050. [25] Xie, L., Bao, X., Zou, J., Gong, Z., Li, S. (2025). Adaptive First-Order Hold Discretization-based Sequential Convex Programming Method for Powered Landing Trajectory Optimization., IFAC-PapersOnLine, 59, Elsevier B.V., pp. 858– 863. [26] Yin, Y., Yang, T., Qin, W., Lu, Y., Gu, Y. (2024). Calibration of GTN model for fracture analysis of steel plates with holes, J. Constr. Steel Res., 215. DOI: https://doi.org/10.1016/j.jcsr.2024.108506. [27] Zhang, D., Wang, X., Yu, Y., Zhang, C., Chen, Y., Cui, J., Zhuang, X., Qiu, X., Pang, X., Fan, Q., Liu, Z. (2026). Research on high-precision calibration method of chip calibration based on DE-LM fusion optimization, Measurement (Lond)., 260. DOI: https://doi.org/10.1016/j.measurement.2025.119837. [28] Zhang, T., Lu, K., Zhang, Z., Shang, X., Wang, Q. (2023). Experimental investigations on parameter identification and failure predictions of titanium alloy by Gurson–Tvergaard–Needleman model, Theoretical and Applied Fracture Mechanics, 127. DOI: https://doi.org/10.1016/j.tafmec.2023.104058.

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