Issue 66

R. B. P. Nonato, Frattura ed Integrità Strutturale, 65 (2023) 17-37; DOI: 10.3221/IGF-ESIS.66.02

only a few parts of this complex subject. In this direction, uncertainty quantification methods come to the aid of fatigue modeling, in order to yield a relatively safe design associated with the knowledge to perform increasingly reliable system assessments.

A CKNOWLEDGEMENTS

T

he author is very grateful to CEREARERM for the support under project number 01262113.

R EFERENCES

[1] Campbell, F.C. (2012). Fatigue and Fracture: Understanding the Basics. Materials Park, ASM International. [2] Mendoza, J., Nielsen, J.S., Sorensen, J.D. and Kohler, J. (2022). Structural Reliability Analysis of Offshore Jackets for System-level Fatigue Design. Structural Safety, 97, pp. 102220. DOI: 10.1016/j.strusafe.2022.102220. [3] Qian, H.-M., Wei, J. and Huang, H.-Z. (2023). Structural Fatigue Reliability Analysis Based on Active Learning Kriging Model. International Journal of Fatigue, 172, pp. 107639. DOI: 10.1016/j.ijfatigue.2023.107639. [4] Zhang, Z., Zhao, C., Zhao, Z., Wang, F. and Zhao, B. (2023). Structural Fatigue Reliability Evaluation Based on Probability Analysis of the Number of Zero-crossings Stochastic Response Process. Engineering Failure Analysis, 143, pp. 106923. DOI: 10.1016/j.engfailanal.2022.106923. [5] Fan, J., Liao, H., Wang, H., Hu, J., Chen, Z., Lu, J. and Li, B. (2018). Local Maximum-entropy Based Surrogate Model and its Application to Structural Reliability Analysis. Structural and Multidisciplinary Optimization, 57, pp. 373-392. DOI: 10.1007/s00158-017-1760-y. [6] Jing, G., Lyu, Z., Liu, Y., Xiao, S., Zhou, H. and Li, S. (2022). Reliability Study for Diesel Engine Cylinder Head through Fatigue Failure Analysis and Structural Optimization. Engineering Failure Analysis, 142, pp. 106768. DOI: 10.1016/j.engfailanal.2022.106768. [7] Staroverov, O., Mugatarov, A., Yankin, A. and Wildermann, V. (2022). Description of Fatigue Sensitivity Curves and Transition to Critical States of Polymer Composites by Cumulative Distribution Functions. Frattura ed Integrità Strutturale, 17(63), pp. 91-99. DOI: 10.3221/IGF-ESIS.63.09. [8] Kim, H.-S., Kim, B.W., Lee, K. and Sung, H.G. (2022). Application of Average Sea-state Method for Fast Estimation of Fatigue Damage of Offshore Structure in Waves with Various Distribution Types of Occurrence Probability. Ocean engineering, 246, pp. 110601. DOI: 10.1016/j.oceaneng.2022.110601. [9] Yang, X., Fan, W. and Li, Z. (2022). Stochastic Analysis of Fatigue Damage of Transmission Tower-line System using Kriging and Bayesian Updated Probability Density Evolution Methods. International Journal of Structural Stability and Dynamics, 22 (3n04). DOI: 10.1142/S0219455422400090. [10] Heng, J., Zheng, K., Kaewunruen, S., Zhu, J. and Baniotopoulos C. (2019). Dynamic Bayesian Network-based System level Evaluation on Fatigue Reliability of Orthotropic Steel Decks. Engineering Failure Analysis, 105, pp. 1212-1228. DOI: 10.1016/j.engfailanal.2019.06.092. [11] Li, Y., Zhi, P., Zhang, Y., Chen, B. and Wang, Y. (2020). Fatigue Reliability Analysis of Motor Hanger for High-Speed Train Based on Bayesian Updating and Subset Simulation. Advances in Materials Science and Engineering 2020, pp. 1 10. DOI: 10.1155/2020/3012471. [12] Gray, A., Wimbush, A., De Angelis, M., Hristov, P.O., Calleja, D., Miralles-Dolz, E. and Rocchetta, R. (2022). From Inference to Design: a Comprehensive Framework for Uncertainty Quantification in Engineering with Limited Information. Mechanical Systems and Signal Processing, 165, pp. 108210. DOI: 10.1016/j.ymssp.2021.108210. [13] Iskandar, R. (2021). Probability Bound Analysis: a Novel Approach for Quantifying Parameter Uncertainty in Decision analytic Modeling and Cost-effectiveness Analysis. Statistic in Medicine, 40(29), pp. 6501-6522. DOI: 10.1002/sim.9195. [14] Nonato, R.B.P. (2020). Bi-level Hybrid Uncertainty Quantification in Fatigue Analysis: S-N Curve Approach, Frattura ed Integrità Strutturale. 54, pp. 88-103. DOI: 10.3221/IGF-ESIS.54.06 . [15] Shannon, C.E. (1948). A Mathematical Theory of Communication, Bell System Technical Journal, 27(3), pp. 379-423. [16] Jaynes, E. (1982). On the Rationale of Maximum-entropy Methods. Proceedings of the IEEE, 70(9), pp. 939-952. [17] Ash, R.B. (1965). Information Theory. Urbana, Ash.

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