Karmakar Smarajit, Lerner Edan, Procaccia Itamar, Zylberg Jacques
Department of Chemical Physics, The Weizmann Institute of Science, Rehovot 76100, Israel.
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Sep;82(3 Pt 1):031301. doi: 10.1103/PhysRevE.82.031301. Epub 2010 Sep 2.
The effect of finite temperature T and finite strain rate γ on the statistical physics of plastic deformations in amorphous solids made of N particles is investigated. We recognize three regimes of temperature where the statistics are qualitatively different. In the first regime the temperature is very low, T<T(cross)(N), and the strain is quasistatic. In this regime the elastoplastic steady state exhibits highly correlated plastic events whose statistics are characterized by anomalous exponents. In the second regime T(cross)(N)<T<T(max)(γ) the system-size dependence of the stress fluctuations becomes normal, but the variance depends on the strain rate. The physical mechanism of the crossover is different for increasing temperature and increasing strain rate, since the plastic events are still dominated by the mechanical instabilities (seen as an eigenvalue of the Hessian matrix going to zero), and the effect of temperature is only to facilitate the transition. A third regime occurs above the second crossover temperature T(max)(γ) where stress fluctuations become dominated by thermal noise. Throughout the paper we demonstrate that scaling concepts are highly relevant for the problem at hand, and finally we present a scaling theory that is able to collapse the data for all the values of temperatures and strain rates, providing us with a high degree of predictability.
研究了有限温度(T)和有限应变率(\gamma)对由(N)个粒子组成的非晶态固体中塑性变形统计物理的影响。我们识别出三种温度区域,其中统计性质在定性上有所不同。在第一个区域中,温度非常低,(T < T_{cross}(N)),且应变是准静态的。在这个区域中,弹塑性稳态表现出高度相关的塑性事件,其统计特征由异常指数表征。在第二个区域(T_{cross}(N) < T < T_{max}(\gamma))中,应力涨落的系统尺寸依赖性变为正常,但方差取决于应变率。对于温度升高和应变率增加,交叉的物理机制是不同的,因为塑性事件仍然由机械不稳定性主导(表现为黑塞矩阵的一个特征值趋于零),而温度的影响仅仅是促进转变。第三个区域出现在第二个交叉温度(T_{max}(\gamma))之上,此时应力涨落由热噪声主导。在整篇论文中,我们证明了标度概念与手头的问题高度相关,最后我们提出了一种标度理论,该理论能够将所有温度和应变率值的数据整合在一起,为我们提供了高度的可预测性。