PSI - Issue 66

Hendrik Baarssen et al. / Procedia Structural Integrity 66 (2024) 305–312 Author name / Structural Integrity Procedia 00 (2025) 000–000

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no additional measurement systems and assumptions are required. The framework shows a similar evolution of the crack length as for crack gauge measurements and the CMOD compliance method. It should be noted that the proposed framework is validated on a single specimen and further developments are necessary to extend the applicability of the method. References ASTM International, 2000. ASTM 647-00 Test Method for Measurement of Fatigue Crack Growth Rates. Canny, J., 1986. A Computational Approach To Edge Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 6, 679–698. https://doi.org/10.1109/TPAMI.1986.4767851 Choi, S., Shah, S.P., 1997. Measurement of deformations on concrete subjected to compression using image correlation. Experimental Mechanics 37, 307–313. https://doi.org/10.1007/BF02317423 Chow, G.C., 1960. Tests of Equality Between Sets of Coefficients in Two Linear Regressions. Econometrica 28, 591–605. https://doi.org/10.2307/1910133 Feld-Payet, S., Le Besnerais, G., Bonnand, V., Pacou, D., Thiercelin, L., 2020. Crack path tracking from full field measurements: A novel empirical methodology. Strain 56, e12333. https://doi.org/10.1111/str.12333 Gehri, N., Mata-Falcón, J., Kaufmann, W., 2022. Refined extraction of crack characteristics in large-scale concrete experiments based on digital image correlation. Engineering Structures 251, 113486. https://doi.org/10.1016/j.engstruct.2021.113486 Gehri, N., Mata-Falcón, J., Kaufmann, W., 2020. Automated crack detection and measurement based on digital image correlation. Construction and Building Materials 256, 119383. https://doi.org/10.1016/j.conbuildmat.2020.119383 Melching, D., Paysan, F., Strohmann, T., Breitbarth, E., 2024. An iterative crack tip correction algorithm discovered by physical deep symbolic regression. International Journal of Fatigue 187, 108432. https://doi.org/10.1016/j.ijfatigue.2024.108432 Panwitt, H., Köster, P., Sander, M., 2022. Fatigue crack growth determination under in-phase and out-of-phase mixed-mode loading conditions using an automated DIC evaluation tool. International Journal of Fatigue 164, 107122. https://doi.org/10.1016/j.ijfatigue.2022.107122 Ruocci, G., Rospars, C., Moreau, G., Bisch, P., Erlicher, S., Delaplace, A., Henault, J.-M., 2016. Digital Image Correlation and Noise-filtering Approach for the Cracking Assessment of Massive Reinforced Concrete Structures. Strain 52, 503–521. https://doi.org/10.1111/str.12192 Strohmann, T., Melching, D., Paysan, F., Klein, A., Dietrich, E., Requena, G., Breitbarth, E., 2022. Crack Analysis Tool in Python - CrackPy. Subramanyam Reddy, M., Ramesh, K., Thiyagarajan, A., 2018. Evaluation of mode-I SIF, T-stress and J -integral using displacement data from digital image correlation – Revisited. Theoretical and Applied Fracture Mechanics 96, 146–159. https://doi.org/10.1016/j.tafmec.2018.04.006