PSI - Issue 42

Paulo Mendes et al. / Procedia Structural Integrity 42 (2022) 1752–1761 1761 Paulo Mendes, Rita Dantas, José A.F.O Correia, Nicholas Fantuzzi, Abílio M.P. Jesus / Structural Integrity Procedia 00 (2019) 000 – 000 Huang, W., & Dietrich, D. L. (2005). An alternative degradation reliability modeling approach using maximum likelihood estimation. IEEE Transactions on Reliability , 54 (2). https://doi.org/10.1109/TR.2005.845965 Jacob, A., Cisotto, S., Mehmanparast, A., & Yasaee, M. (2017). Prediction of fatigue crack growth behaviour in S355 strutural steel using XFEM technique. ICF 2017 - 14th International Conference on Fracture , 1 . Kawai, M., & Yano, K. (2016). Probabilistic anisomorphic constant fatigue life diagram approach for prediction of P S-N curves for woven carbon/epoxy laminates at any stress ratio. Composites Part A: Applied Science and Manufacturing , 80 . https://doi.org/10.1016/j.compositesa.2015.10.021 Lee, J., Harris, B., Almond, D. P., & Hammett, F. (1997). Fibre composite fatigue-life determination. Composites Part A: Applied Science and Manufacturing , 28 (1). https://doi.org/10.1016/S1359-835X(96)00088-7 Lee, Y., Barkey, M. E., & Kang, H.-T. (2012). Metal Fatigue Analysis Handbook- Pratical Problem-Solving Techniques for Computer Aided Engineering . Elsevier. Lesiuk, G., Szata, M., Rozumek, D., Marciniak, Z., Correia, J., & De Jesus, A. (2018). Energy response of S355 and 41Cr4 steel during fatigue crack growth process. Journal of Strain Analysis for Engineering Design , 53 (8). https://doi.org/10.1177/0309324718798234 Lewandowski, J., & Rozumek, D. (2016). Cracks growth in S355 steel under cyclic bending with fillet welded joint. Theoretical and Applied Fracture Mechanics , 86 . https://doi.org/10.1016/j.tafmec.2016.09.003 Ling, J., & Pan, J. (1997). A maximum likelihood method for estimating P-S-N curves. International Journal of Fatigue , 19 (5). https://doi.org/10.1016/S0142-1123(97)00037-6 Mohabeddine, A., Correia, J., Aires Montenegro, P., De Jesus, A., Miguel Castro, J., & Berto, F. (2021). Probabilistic S-N curves for CFRP retrofitted steel details. International Journal of Fatigue , 148 . https://doi.org/10.1016/j.ijfatigue.2021.106205 Pascual, F. G., & Meeker, W. Q. (1999). Estimating Fatigue Curves with the Random Fatigue-Limit Model. Technometrics , 41 (4). https://doi.org/10.2307/1271342 Pedrosa, B., Correia, J. A. F. O., Rebelo, C. A. S., & Veljkovic, M. (2020). Reliability of Fatigue Strength Curves for Riveted Connections Using Normal and Weibull Distribution Functions. ASCE-ASME Journal of Risk and Uncertainty in Engineerings Systems, Part A: Civil Engineering , 6 (3), 1 – 8. https://doi.org/10.1061/AJRUA6.0001081 Prabhu, S. R., Lee, Y. J., & Park, Y. C. (2019). A new Bayesian approach to derive paris’ law parameters from S -N curve data. Structural Engineering and Mechanics , 69 (4). https://doi.org/10.12989/sem.2019.69.4.361 Sakin, R., & Ay, I. (2008). Statistical analysis of bending fatigue life data using Weibull distribution in glass-fiber reinforced polyester composites. Materials and Design , 29 (6). https://doi.org/10.1016/j.matdes.2007.05.005 Singh, M., Sood, D., Gupta, R. K., Kumar, R., Gautam, P. C., Sewak, B., Sharma, A. C., & Mathew, T. (2008). Dynamic yield strength of mild steel under impact loading. Defence Science Journal , 58 (2). https://doi.org/10.14429/dsj.58.1647 Taras, A., & Greiner, R. (2018). Development and Application of a Fatigue Class Catalogue for Riveted Bridge Components Development and Application of a Fatigue Class Catalogue for Riveted Bridge Components. Structural Engineering International , 20:01 , 91 – 103. https://doi.org/10.2749/101686610791555810 Xie, L., Liu, J., Wu, N., & Qian, W. (2014). Backwards statistical inference method for P-S-N curve fitting with small sample experiment data. International Journal of Fatigue , 63 . https://doi.org/10.1016/j.ijfatigue.2014.01.006 Xin, H., Correia, J. A. F. O., & Veljkovic, M. (2021). Three-dimensional fatigue crack propagation simulation using extended finite element methods for steel grades S355 and S690 considering mean stress effects. Engineering Structures , 227 . https://doi.org/10.1016/j.engstruct.2020.111414