Fatigue life prediction using a new moving window regression methodFatigue life prediction using a new moving window regression method Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2015-10-191991enA simple method to assess the safety of metallic structures in the presence of crack-like defects is considered. Linear regression techniques are used to fit fatigue-crack growth (FCG) laws of exponential type with respect to the number of cycles, in FCG experimental results. A moving window regression method is used to accurately predict whether or not the critical crack length region is reached. The probability of fast failure at any time (number of cycles) is formulated in terms of a characteristic defect size exceeding a critical value. The concept of conditional probability of failure is also employed here in order to evaluate the failure rate used in reliability practice. As an illustrative example, an analytical closed-form solution for the failure probability of structures is presented and evaluated using experimental FCG data.http://creativecommons.org/licenses/by/4.0/Mechanical Systems and Signal Processing45327-340 Pouliezos Anastasios Πουλιεζος Αναστασιος Stavrakakis Georgios Σταυρακακης Γεωργιος Academic Press Building damage prevention Building protection Buildings--Damage prevention Protection of buildings buildings protection building damage prevention building protection buildings damage prevention protection of buildings