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Runout analysis in fatigue investigation |
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| Authors: | S. Sarkani T.A. Mazzuchi D. Lewandowski D.P. Kihl |
| Affiliation: | aDepartment of Engineering Management and Systems Engineering, The George Washington University, Suite 704 Gelmanns, 2130 H Street, NW, Washington, DC 20052, USA bFaculty of Electrical Engineering, Mathematics and Computer Systems, University of Technology, Delft, The Netherlands cStructures and Composites Division, Naval Surface Warfare Center, West Bethesda, MD 20817-1956, USA |
| Abstract: | Those individual tests in a series of experiments that are not completed or must be suspended are known as “censored points,” or “runouts”. Inclusion of runouts in data analysis can be problematic, and such ad hoc approaches as ignoring the runout observation or treating it as a failure can significantly affect estimation. The methodology offered here alleviates the handling of runouts and censored data by using the maximum likelihood estimation (MLE) method to incorporate the censored data properly. The methodology is illustrated with an example problem using actual data and the affects of ad hoc approaches are illustrated. |
| Keywords: | Censored observations Maximum likelihood estimation Least-squares analysis Extreme value distribution Linear regression |
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