Abstract

For several years, some authors have worked on the rapid estimation of the High-Cycle Fatigue (HCF) properties of metallic materials based upon temperature measurements under cyclic loadings. This method is so-called “self-heating tests”. More recently, the development of a two-scale probabilistic model has shown that self-heating tests permit to identify, not only, the mean fatigue limit, but also, the scatter of classical fatigue results. So, it is proposed, in this paper, to extend the previous approach for materials with different kinds of hardening and different kinds of hardening evolution (i.e., cyclic hardening or cyclic softening) and to show the influence of the hardening type on self-heating and on the partition of the plastic energy (i.e., dissipated and stored energies). The identification and the validation of the proposed approach have been performed on two different metallic materials (i.e., a dual-phase steel and a chrome–cobalt alloy).

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