Journal Published Online: 02 May 2019
Volume 48, Issue 2

On the Use of Cox Regression for Statistical Analysis of Fatigue Life Results

CODEN: JTEVAB

Abstract

The presence of scatter is inherent to fatigue life studies of materials and structures; a wide variety of statistical tools exists for analysis. Among them, Cox (proportional hazards) regression is widely encountered in survival studies of medical sciences, but has not found frequent use in fatigue of materials. Of interest is the ability to treat scatter in both applied load and fatigue life as well as censored measurements of the latter. In the present work, this statistical approach is adapted for fatigue life studies. For ease of its application, it is numerically implemented as a Python module and provided for permissive free use. The module allows us to carry out Cox regression on raw fatigue life results. Survival estimates, which provide a relationship between the probability of failure and fatigue duration, can be additionally plotted with the module. Finally, the module allows us to plot probabilistic Wöhler (S-N) curves, which leads to a more accurate representation of scatter in fatigue life results.

Author Information

Narynbek Ulu, K.
Institut de Recherche en Génie Civil et Mécanique (GeM), Nantes, Nantes Cedex, France
Huneau, B.
Institut de Recherche en Génie Civil et Mécanique (GeM), Nantes, Nantes Cedex, France
Verron, E.
Institut de Recherche en Génie Civil et Mécanique (GeM), Nantes, Nantes Cedex, France
Béranger, A. S.
Laboratoire de Recherches et de Contrôle du Caoutchouc et des Plastiques (LRCCP), Vitry-sur-Seine, France
Heuillet, P.
Laboratoire de Recherches et de Contrôle du Caoutchouc et des Plastiques (LRCCP), Vitry-sur-Seine, France
Pages: 13
Price: $25.00
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Details
Stock #: JTE20180541
ISSN: 0090-3973
DOI: 10.1520/JTE20180541