URI | http://purl.tuc.gr/dl/dias/BE88F071-ACB2-4C6F-978C-795B6B5D109A | - |
Identifier | https://doi.org/10.1016/0888-3270(91)90033-2 | - |
Language | en | - |
Extent | 14 pages | en |
Title | Fatigue life prediction using a new moving window regression method | en |
Creator | Pouliezos Anastasios | en |
Creator | Πουλιεζος Αναστασιος | el |
Creator | Stavrakakis Georgios | en |
Creator | Σταυρακακης Γεωργιος | el |
Publisher | Academic Press | en |
Content Summary | A 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. | en |
Type of Item | Peer-Reviewed Journal Publication | en |
Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
License | http://creativecommons.org/licenses/by/4.0/ | en |
Date of Item | 2015-10-19 | - |
Date of Publication | 1991 | - |
Subject | Building damage prevention | en |
Subject | Building protection | en |
Subject | Buildings--Damage prevention | en |
Subject | Protection of buildings | en |
Subject | buildings protection | en |
Subject | building damage prevention | en |
Subject | building protection | en |
Subject | buildings damage prevention | en |
Subject | protection of buildings | en |
Bibliographic Citation | G. Stavrakakis ,A. D. Pouliezos ,"Fatigue life prediction using a new moving window regression method,"Mech. Systems and Sig. Proc.,vol.5,no.4 ,pp.327-340 ,1991. doi: 10.1016/0888-3270(91)90033-2 | en |