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Learning local, quenched disorder in plasticity and other crackling noise phenomena
npj Computational Materials ( IF 9.7 ) Pub Date : 2018-06-07 , DOI: 10.1038/s41524-018-0083-x
Stefanos Papanikolaou

When far from equilibrium, many-body systems display behavior that strongly depends on the initial conditions. A characteristic such example is the phenomenon of plasticity of crystalline and amorphous materials that strongly depends on the material history. In plasticity modeling, the history is captured by a quenched, local and disordered flow stress distribution. While it is this disorder that causes avalanches that are commonly observed during nanoscale plastic deformation, the functional form and scaling properties have remained elusive. In this paper, a generic formalism is developed for deriving local disorder distributions from field-response (e.g., stress/strain) timeseries in models of crackling noise. We demonstrate the efficiency of the method in the hysteretic random-field Ising model and also, models of elastic interface depinning that have been used to model crystalline and amorphous plasticity. We show that the capacity to resolve the quenched disorder distribution improves with the temporal resolution and number of samples.



中文翻译:

学习局部可塑性的淬火紊乱和其他脆脆的噪声现象

当远离平衡时,多体系统显示的行为很大程度上取决于初始条件。这样的例子的一个特征是晶体和无定形材料的可塑性现象,在很大程度上取决于材料的历史。在可塑性建模中,历史记录是通过淬火的,局部的和无序的流动应力分布来捕获的。虽然正是这种失调导致了在纳米级塑性变形过程中通常观察到的雪崩,但功能形式和结垢特性仍然难以捉摸。在本文中,开发了一种通用形式主义,用于从crack啪声模型中的场响应(例如应力/应变)时间序列推导局部无序分布。我们证明了该方法在滞后随机场Ising模型中的有效性,并且,弹性界面脱销模型,已用于模拟晶体和非晶态可塑性。我们表明,解决淬灭性疾病分布的能力随时间分辨率和样本数量的增加而提高。

更新日期:2018-06-07
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