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Fatigue models for life prediction of structures under multiaxial loading with variation in time and space.

Abstract : The aim of this work is to propose a multi-scale approach to energy-based fatigue, which can estimate lifetimes associated with variable multidimensional loading. The foundation of the approach is to assume that the energy dissipated on a small scale governs the fatigue behavior. Each material point is associated to a stochastic distribution of weak points that are likely to plasticize and contribute to the dissipation of energy without affecting global macroscopic stresses. This amounts to adopting Dang Van's paradigm of high cycle fatigue. The structure is supposed to be elastic (or adapted) on a macroscopic scale. In addition, we adopt on the mesoscopic scale an elastoplastic behavior with a dependence of the plastic load function not only of the deviatoric part of the stresses, but also of the hydrostatic part. Linear kinematic hardening is also considered under the assumption of an associated plasticity. Instead of using the number of cycles as an incremental variable, the concept of temporal evolution of the load is adopted for a precise follow-up of the history of the actual loading. The effect of mean stress is taken into account in the mesoscopic yield function; a law of nonlinear accumulation of damage is also considered in the model. Fatigue life is then determined using a phenomenological law based on mesoscopic energy dissipation from the plastic accommodative cycle. The first part of the work focused on a proposal for a fatigue model with a simpler implementation gradient than the previous models.
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Submitted on : Monday, February 19, 2018 - 9:55:05 PM
Last modification on : Wednesday, November 17, 2021 - 12:29:15 PM
Long-term archiving on: : Monday, May 7, 2018 - 6:50:36 PM


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  • HAL Id : tel-01712901, version 1


Zepeng Ma. Fatigue models for life prediction of structures under multiaxial loading with variation in time and space.. Solid mechanics [physics.class-ph]. Université Paris-Saclay, 2017. English. ⟨NNT : 2017SACLX117⟩. ⟨tel-01712901⟩



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