Dear Colleagues,

The development of appropriate statistical methodologies for modelling the fatigue response of components is fundamental to ensure their structural integrity and guarantee safe design. Fatigue is known to be one of the primary causes of the failures of components and is affected by many factors, e.g., type of load, component size, manufacturing defects and type of microstructure, all of which significantly influence the in-service life of the component. These factors contribute to the large scatter shown by the fatigue test data. This intrinsic variability of the fatigue phenomenon cannot be disregarded and must be considered in a statistical framework. Statistical models have been proposed since the beginning of the research on the fatigue response of components. Nowadays, new challenges are to be faced by researchers working in this field, e.g., the modelling of an extended fatigue response from the Low Cycle Fatigue (LCF) to the Very High Cycle Fatigue (VHCF), the development of efficient testing methodologies and design procedures that limit the testing time, or the assessment of the stress–life relation in the presence of several failure modes.

This Special Issue aims at providing an overview of the recent advances in the statistical modelling of the fatigue response, a fundamental subject for the structural integrity of components prone to fatigue failure. Papers on innovative statistical models, the comparison between conventional and innovative methodologies, efficient methods limiting the testing time without affecting the design reliability, the estimation of the design curves (at different confidence and reliability levels) and literature reviews are welcome.

Dr. Andrea Tridello
Dr. Davide S. Paolino
Dr. Carlo Boursier Niutta
Guest Editors

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• fatigue response
• statistical modelling
• fatigue life distribution
• P-S-N curves
• design curves
• staircase method
• fatigue limit