Ray Purusattam
The Institute of Mathematical Sciences, Taramani, Chennai 600 113, India
Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 40094, India.
Philos Trans A Math Phys Eng Sci. 2018 Nov 26;377(2136):20170396. doi: 10.1098/rsta.2017.0396.
We discuss the physics of fracture in terms of the statistical physics associated with the failure of elastic media under applied stresses in presence of quenched disorder. We show that the development and the propagation of fracture are largely determined by the strength of the disorder and the stress field around them. Disorder acts as nucleation centres for fracture. We discuss Griffith's law for a single crack-like defect as a source for fracture nucleation and subsequently consider two situations: (i) low disorder concentration of the defects, where the failure is determined by the extreme value statistics of the most vulnerable defect (nucleation regime) and (ii) high disorder concentration of the defects, where the scaling theory near percolation transition is applicable. In this regime, the development of fracture takes place through avalanches of a large number of tiny microfractures with universal statistical features. We discuss the transition from brittle to quasi-brittle behaviour of fracture with the strength of disorder in the mean-field fibre bundle model. We also discuss how the nucleation or percolation mode of growth of fracture depends on the stress distribution range around a defect. We discuss the corresponding numerical simulation results on random resistor and spring networks.This article is part of the theme issue 'Statistical physics of fracture and earthquakes'.
我们从统计物理学的角度来讨论断裂的物理过程,该统计物理学与存在淬火无序时弹性介质在施加应力下的失效相关。我们表明,断裂的发展和传播在很大程度上取决于无序的强度及其周围的应力场。无序充当了断裂的成核中心。我们讨论了将单个裂纹状缺陷的格里菲斯定律作为断裂成核的一个来源,随后考虑两种情况:(i)缺陷的无序浓度较低,此时失效由最脆弱缺陷的极值统计决定(成核 regime);(ii)缺陷的无序浓度较高,此时渗流转变附近的标度理论适用。在这种情况下,断裂的发展通过大量具有普遍统计特征的微小微裂纹的雪崩式过程发生。我们在平均场纤维束模型中讨论了随着无序强度,断裂从脆性到准脆性行为的转变。我们还讨论了断裂的成核或渗流生长模式如何取决于缺陷周围的应力分布范围。我们讨论了随机电阻器和弹簧网络的相应数值模拟结果。本文是“断裂与地震的统计物理学”主题特刊的一部分。