Unified Physics of Stretched Exponential Relaxation and Weibull Fracture Statistics

The complicated nature of materials often necessitates a statistical approach to understanding and predicting their underlying physics. One such example is the empirical Weibull distribution used to describe the fracture statistics of brittle materials such as glass and ceramics. The Weibull distribution adopts the same mathematical form as proposed by Kohlrausch for stretched exponential relaxation. Although it was also originally proposed as a strictly empirical expression, stretched exponential decay has more recently been derived from the Phillips diffusion-trap model, which links the dimensionless stretching exponent to the topology of excitations in a glassy network. In this paper we propose an analogous explanation as a physical basis for the Weibull distribution, with an ensemble of flaws in the brittle material serving as a substitute for the traps in the Phillips model. One key difference between stretched exponential relaxation and Weibull fracture statistics is the effective dimensionality of the system. We argue that the stochastic description of the flaw space in the Weibull distribution results in a negative dimensionality, which explains the difference in magnitude of the dimensionless Weibull modulus compared to the stretching relaxation exponent.

[1]  B. Lawn Fracture of Brittle Solids by Brian Lawn , 1993 .

[2]  J. Mauro,et al.  Atomistic understanding of the network dilation anomaly in ion-exchanged glass , 2012 .

[3]  J. C. Phillips Kohlrausch explained: The solution to a problem that is 150 years old , 1994 .

[4]  J. Mauro,et al.  The laboratory glass transition. , 2007, The Journal of chemical physics.

[5]  J. Mauro,et al.  Structural relaxation in annealed hyperquenched basaltic glasses: Insights from calorimetry , 2012 .

[6]  Gerardo G. Naumis,et al.  Diffusion of knowledge and globalization in the web of twentieth century science , 2012 .

[7]  Borko Stosic,et al.  Long-term correlations in hourly wind speed records in Pernambuco, Brazil , 2012 .

[8]  J. Mauro,et al.  Topological origin of stretched exponential relaxation in glass. , 2011, The Journal of chemical physics.

[9]  J. C. Phillips,et al.  Stretched exponential relaxation in molecular and electronic glasses , 1996 .

[10]  J. Mauro,et al.  Continuously broken ergodicity. , 2007, The Journal of chemical physics.

[11]  Naoya Sazuka On the gap between an empirical distribution and an exponential distribution of waiting times for price changes in a financial market , 2007 .

[12]  Robert Danzer,et al.  Fracture statistics of ceramics – Weibull statistics and deviations from Weibull statistics , 2007 .

[13]  Benoit B. Mandelbrot,et al.  Multifractal Power Law Distributions: Negative and Critical Dimensions and Other “Anomalies,” Explained by a Simple Example , 2003 .

[14]  Xia Li,et al.  A robust approach based on Weibull distribution for clustering gene expression data , 2011, Algorithms for Molecular Biology.

[15]  J. C. Phillips,et al.  Bifurcation of stretched exponential relaxation in microscopically homogeneous glasses , 2011, 1106.1383.

[16]  D. Allan,et al.  Nonequilibrium viscosity of glass , 2009 .

[17]  E. Bacry,et al.  Extreme values and fat tails of multifractal fluctuations. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[18]  F. David Randomly triangulated surfaces in - 2 dimensions , 1985 .

[19]  R. S. Mendes,et al.  q-exponential, Weibull, and q-Weibull distributions: an empirical analysis , 2003, cond-mat/0301552.

[20]  Antonio G. Chessa,et al.  Modelling memory processes and Internet response times: Weibull or power-law? , 2006 .

[21]  Y. Yue,et al.  Heterogeneous enthalpy relaxation in glasses far from equilibrium , 2010 .

[22]  J. C. Phillips,et al.  Microscopic aspects of Stretched Exponential Relaxation (SER) in homogeneous molecular and network glasses and polymers , 2010, 1005.0648.

[23]  Arun K. Varshneya,et al.  Chemical Strengthening of Glass: Lessons Learned and Yet To Be Learned , 2010 .

[24]  Gerardo G. Naumis,et al.  The tails of rank-size distributions due to multiplicative processes: from power laws to stretched exponentials and beta-like functions , 2007, New Journal of Physics.

[25]  P. Grassberger,et al.  The long time properties of diffusion in a medium with static traps , 1982 .

[26]  A. A. Griffith The Phenomena of Rupture and Flow in Solids , 1921 .

[27]  Jürgen Horbach,et al.  Towards Ultrastrong Glasses , 2011, Advanced materials.

[28]  Lovro Gorjan,et al.  Bend strength of alumina ceramics: A comparison of Weibull statistics with other statistics based on very large experimental data set , 2012 .

[29]  Ivan A. Cornejo,et al.  Glass Substrates for Liquid Crystal Displays , 2010 .

[30]  J. Sarabia,et al.  About the modified Gaussian family of income distributions with applications to individual incomes , 2013 .

[31]  J. C. Phillips,et al.  Topological derivation of shape exponents for stretched exponential relaxation. , 2004, The Journal of chemical physics.

[32]  D. Allan,et al.  Communication: Resolving the vibrational and configurational contributions to thermal expansion in isobaric glass-forming systems. , 2010, The Journal of chemical physics.

[33]  Sreenivasan,et al.  Negative dimensions: Theory, computation, and experiment. , 1991, Physical review. A, Atomic, molecular, and optical physics.

[34]  Morten Mattrup Smedskjær,et al.  Minimalist landscape model of glass relaxation , 2012 .

[35]  D. Sargent,et al.  Using cure models and multiple imputation to utilize recurrence as an auxiliary variable for overall survival , 2011, Clinical trials.

[36]  T. Rouxel,et al.  Correlation between thermal and mechanical relaxation in chalcogenide glass fibers , 2009 .

[37]  Vincent Larivière,et al.  Modeling a century of citation distributions , 2008, J. Informetrics.

[38]  A. Niemi,et al.  Superspace, negative dimensions, and quantum field theories , 1982 .

[39]  Gordon D. Logan,et al.  The Weibull distribution, the power law, and the instance theory of automaticity. , 1995 .

[40]  Susan M. Chang,et al.  Conditional probability of survival in patients with newly diagnosed glioblastoma. , 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.