Crackling noise and its dynamics in fracture of disordered media

Rosti, Jari; Illa, Xavier; Koivisto, Juha; Alava, Mikko J.

doi:10.1088/0022-3727/42/21/214013

Cited by 27 publications

(18 citation statements)

References 65 publications

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“…The micro and meso-scale heterogeneity of materials has the consequence that their fracture process is accompanied by crackling noise, i.e. fracture proceeds in intermittent bursts of local breakings which generate acoustic emissions 5,[9][10][11][12][13][14] . Cracking bursts can be considered as precursors of the ultimate failure of the system, so that they can be exploited to forecast the impending catastrophic event 12,[15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30] .…”

Section: Record Statistics Of Bursts Signals the Onset Of Acceleratiomentioning

confidence: 99%

Record statistics of bursts signals the onset of acceleration towards failure

Kádár

Pál

Kun

2020

Sci Rep

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Forecasting the imminent catastrophic failure has a high importance for a large variety of systems from the collapse of engineering constructions, through the emergence of landslides and earthquakes, to volcanic eruptions. Failure forecast methods predict the lifetime of the system based on the time-to-failure power law of observables describing the final acceleration towards failure. We show that the statistics of records of the event series of breaking bursts, accompanying the failure process, provides a powerful tool to detect the onset of acceleration, as an early warning of the impending catastrophe. We focus on the fracture of heterogeneous materials using a fiber bundle model, which exhibits transitions between perfectly brittle, quasi-brittle, and ductile behaviors as the amount of disorder is increased. Analyzing the lifetime of record size bursts, we demonstrate that the acceleration starts at a characteristic record rank, below which record breaking slows down due to the dominance of disorder in fracturing, while above it stress redistribution gives rise to an enhanced triggering of bursts and acceleration of the dynamics. The emergence of this signal depends on the degree of disorder making both highly brittle fracture of low disorder materials, and ductile fracture of strongly disordered ones, unpredictable.

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Section: Record Statistics Of Bursts Signals the Onset Of Acceleratiomentioning

confidence: 99%

Record statistics of bursts signals the onset of acceleration towards failure

Kádár

Pál

Kun

2020

Sci Rep

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“…Different processes, which have been classified as critical or crackling noise, take place in solids, exhibiting a certain degree of disorder when driven by an external force or by a temperature ramp. Examples include superconductivity [33], capillary condensation [34], acoustic emission in structural transitions [35][36][37], Barkhausen noise in magnetism [38,39], and fracture [40]. In many cases, theoretical studies have provided general frameworks to understand the origin of this criticality [2,[41][42][43][44][45].…”

Section: Acoustic Emission Data Analysismentioning

confidence: 99%

Analysis of power-law exponents by maximum-likelihood maps

Ardanuy

Vives

2012

Phys. Rev. E

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Maximum-likelihood exponent maps have been studied as a technique to increase the understanding and improve the fit of power-law exponents to experimental and numerical simulation data, especially when they exhibit both upper and lower cutoffs. The use of the technique is tested by analyzing seismological data, acoustic emission data, and avalanches in numerical simulations of the three-dimensional random field Ising model. In the different examples we discuss the nature of the deviations observed in the exponent maps and some relevant conclusions are drawn for the physics behind each phenomenon.

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“…The event intervals are, similarly, found to obey such fat-tailed pdf's. [5,6,7,2,8] Here we consider paper as a test material or case of critical divergences during the fracture in the presence of structural randomness. This idea of criticality can be formulated in various ways, but essentially it implies the presence of a finite time singularity, so that a quantity such as the AE energy release during the approach of the failure becomes a function of 1/(t c −t) where t c is the lifetime.…”

Section: Introductionmentioning

confidence: 99%

Statistics of acoustic emission in paper fracture: precursors and criticality

Rosti¹,

Koivisto²,

Alava³

2010

J. Stat. Mech.

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Statistics of acoustic emission in paper fracture: precursors and criticality 2 PACS numbers: 62.20. M-,05.40.-a, 46.50+a Abstract.We present statistical analysis of acoustic emission (AE) data from tensile experiments on paper sheets, loading mode I, with samples broken under strain control. The results are based on 100 experiments on unnotched samples and 70 samples with a long initial edge notch. First, AE energy release and AE event rates are considered for both cases, to test for the presence of "critical points" in fracture. For AE energy, no clear signatures are found, whereas the main finding is that the event rate diverges when a sample-dependent "critical time" of the maximum event rate is approached. This takes place after the maximum stress is reached. The results are compared with statistical fracture models of heterogenous materials. We also discuss the dependence of the AE energy and event interval distributions on average event rates.

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Crackling noise and its dynamics in fracture of disordered media

Cited by 27 publications

References 65 publications

Record statistics of bursts signals the onset of acceleration towards failure

Record statistics of bursts signals the onset of acceleration towards failure

Analysis of power-law exponents by maximum-likelihood maps

Statistics of acoustic emission in paper fracture: precursors and criticality

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