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BiaxiaVMultiaxial Fatigue and Fracture
          Andrea Carpinteri, Manuel de Freitas and Andrea Spagnoli (Eds.)
           Q Elsevier Science Ltd. and ESIS. All rights reserved.              32 1




           VARIABILITY IN FATIGUE LIVES: AN EFFECT OF THE ELASTIC ANISOTROPY
                                         OF GRAINS?


                                       Sylvie POMMIER
                                   MSSMat, Ewle Centrale Paris,
                         Grande Voie des Vignes. 92299 Chatenay Malabry Cedex





           ABSTRACT

           Probabilistic approaches are developed to describe scale effects and scatter in fatigue. When
           fatigue cracks are nucleated on defects, four main sources of scatter are usually acknowledged
           the probability to find  a defect per  unit  volume, the variability of the defects sizes, of their
           distance to the surfaces and of their mutual distance. When fatigue cracks are not nucleated on
           defects, the mechanisms at the origin of the scatter remain unclear.  In  a “defect free” metal
           under  bulk elastic conditions, crack nucleation  is attributed to cyclic slip in “weak” grains.
           Therefore, the variability of grain’s size and orientation is expected to be firstly responsible for
           the scatter in fatigue lives. The main material dimension, to take into account for predicting a
           scale effect, is therefore the grain size. However according to the elastic anisotropy of grains, a
           material dimension larger than the grain size may prevail. As a matter of fact, using 3D elastic
           finite element analyses and experiments, it is shown that the spatial distribution of stresses and
           strains is self-organized in  a polycrystal,  at a  scale larger than the grain size. This scale is
           approaching for example 15 grains in copper. This effect is analogous to the “arching” effect,
           widely studied in granular material.


           KEYWORDS
           Fatigue, scale effect, scatter, elasticity, anisotropy, percolation, grains.



           INTRODUCTION
           Life  prediction methods  for  industrial components  are usually  based  on crack  nucleation
           criteria. A vital point for the design of industrial component is to evaluate both the fatigue life
           of the component and the confidence associated with this prediction. For this purpose, the key
           parameters driving crack nucleation and the sources of variability have to be clearly identified.
             On the one hand, most fatigue criteria rely on the assumption that in both LCF and HCF,
           fatigue damage occurs in grains as a consequence of cyclic slip in “weak” grains or aggregates
           of  grains.  The  models  enabling  the  transfer  of  data  collected  on  samples  to  industrial
           components are therefore evaluating the  slip ability  in  “weak” grains.  Under  proportional
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