Proper Generalized Decomposition (PGD) for the numerical simulation of polycrystalline aggregates under cyclic loading
Proper Generalized Decomposition (PGD) for the numerical simulation of polycrystalline aggregates under cyclic loading
复制标题
适用于循环加载下多晶聚集体数值模拟的广义广义分解 (PGD)
DOI:
10.1016/j.crme.2017.11.009
复制
发表时间:
2018
影响因子:
0.8
通讯作者:
F. Morel
中科院分区:
文献类型:
--
作者:
M. A. Nasri;C. Robert;A. Ammar;S. E. Arem;F. Morel
High Cycle Fatigue (HCF) of metallic materials is an important issue for many components involved in many areas of mechanics. It is characterized by a low level of loading and leads to a number of cycles required to cause failure generally between 105 and 107. In this regime, the modelling of crack initiation observed at the scale where the mechanisms take place (scale of the microstructure) is not straightforward. Indeed, one of the most challenging tasks in the mechanics of materials is to get access to the mechanical response at the grain scale of a polycrystalline aggregate, especially when it is subjected to cyclic loading [1]. Local plasticity, microstructural heterogeneities, and crystal orientations play an essential role in the initiation and growth of cracks. Regarding this matter, it is often necessary to reach a stabilized state to get the various mechanical states of stress and strain in the critical zones. From a numerical point of view, performing computation under monotonic loading is not sufficient. A simulation of the entire cyclic load history is needed. The numerical modelling of materials at the microstructural scale has been greatly developed over the last two decades. Different numerical methods have been used to explicitly model a polycrystal: the