In this work, the software program ProFatigue is presented as a practical tool for derivation of probabilistic S-N and ε-N fields from experimental fatigue data. The program provides an estimation of the parameters involved in the regression probabilistic Weibull fatigue model developed by the authors, allowing an advantageous application of both fields to the stress or strain based approaches in the fatigue design of structures and mechanical components. An extension to the analysis of more complex and varied lifetime problems as thermomechanical, multiaxial and fretting fatigue is possible by adopting suitable damage parameters proposed in the literature as driving force. Application to probabilistic assessment of cumulative damage and further program enhancement are now envisaged

An experimental programme to determine the fatigue behaviour of hot rolled reinforced bars of two austenitic (AISI 304LN and AISI 316LN grades) and one duplex (AISI 2205 grade) stainless steels was conducted. The statistical model applied to define the S– N curves (Castillo et al.) of these products is also described. Finally, fractographic and microstructural analysis of the specimens allowed us to ascertain the parameters that have the greatest influence on the fatigue life of these structural components.