Microstructural features effect on the evolution of cyclic damage for polycrystalline metals using a multiscale approach

Abstract

In the context of polycrystalline metals, the damage process analysis is generally restricted to surface of a sample containing some hundreds of grains, due to the inherent difficulties microstructural analysis. Determination of the grain size influence, misorientation and neighboring grains effect remains difficult with experimental studies. In this work, the influence of microstructural characteristics of polycrystalline metals on the evolution of the damage process under cyclic loading is investigated. On the basis of the quaternion theory, the orientation of each (crystal) grain is represented by a single angle (theta). The relative misorientation of each grain is set by the ratio of its misorientation over the average value of polycrystalline aggregate. The relative volume of grain is used as a parameter representing the grain size. The damage evolution under cyclic loading is identified using the coupling of the crystal plasticity model with the Continuum Damage Mechanics (CDM) model. The damage evolution and its distribution on polycrystalline aggregate are calculated by means of numerical homogenization over each grain. The heterogeneity distribution and damage evolution for polycrystalline metals have been analyzed. The obtained results show that neighboring grains effects are larger and may change the tendency that larger grains with great misorientation are the most damaged.

An integrated unified elasto-viscoplastic fatigue and creep damage model with characterization method for structural analysis of nickel-based high-temperature structure

“…In this paper, the damage models are divided into creep damage ( Dc) and fatigue damage ( Df) and each damage model is expressed as total damage ( D ) to consider the interaction effects in the creep-fatigue loading condition. The Lemaitre-Chaboche isotropic damage model for fatigue damage represents transangular defects that occur under cyclic loading (Bouchedjra et al., 2021; Doghri, 2013). In order to express the nonlinear softening behavior, a nonlinear term is added to the model.…”

Entropy-based damage model for assessing the remaining useful fatigue life

“…Estimation of fatigue life, damage evolution, and remaining useful life has captured the attention of numerous studies (Ferreira et al., 2022; Hou et al., 2023; Huo et al., 2022; Santecchia et al., 2016). Research has demonstrated that the fatigue behavior of a material under cyclic loading can be influenced by a multitude of parameters (Bouchedjra et al., 2021; Nihei et al., 1986; Zhu et al., 2022) that tend to complicate the prediction of fatigue performance. Considerable efforts have been directed towards forecasting the remaining useful life for components experiencing fatigue loading (Gan et al., 2023; Kralovec and Schagerl, 2020), particularly in scenarios involving variable amplitude fatigue loading (Si-Jian et al., 2018; Zuo et al., 2015).…”

Estimation of remaining fatigue life with an energy-based model considering the effects of loading sequence and load interaction

“…From a macroscopic perspective, fatigue damage accumulates with the number of loading cycles, accompanied with the degradation of material properties (Liakat and Khonsari, 2014; Ye and Wang, 2001), the dissipation of elastoplastic energies (Morrow, 1986) and the evolution of fatigue crack systems (Bouchedjra et al., 2021; Ghammouri et al., 2011). Following these philosophy, numerous phenomenological damage models have been put forward over the past decades.…”