2015
DOI: 10.1103/physrevlett.114.105504
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From Mild to Wild Fluctuations in Crystal Plasticity

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Cited by 103 publications
(166 citation statements)
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“…For all strain rates and both orientations (TD and RD), the exponent β of the fitting power-law function, P(I) ~ I -β , varies during the macroscopically uniform plastic flow within the interval from 1.5 to 1.8, similar to the typical (a) (b) value of 1.5 reported for hcp materials [17,20]. It considerably increases close to the onset of necking (more specifically, β ≈ 2.3 ± 0.1 for the TD sample and 2.6 ± 0.1 for the RD sample in Figure 4) and decreases again when the neck is developed.…”
Section: Statistics Of Deformation Processes On a Mesoscopic Scalesupporting
confidence: 67%
“…For all strain rates and both orientations (TD and RD), the exponent β of the fitting power-law function, P(I) ~ I -β , varies during the macroscopically uniform plastic flow within the interval from 1.5 to 1.8, similar to the typical (a) (b) value of 1.5 reported for hcp materials [17,20]. It considerably increases close to the onset of necking (more specifically, β ≈ 2.3 ± 0.1 for the TD sample and 2.6 ± 0.1 for the RD sample in Figure 4) and decreases again when the neck is developed.…”
Section: Statistics Of Deformation Processes On a Mesoscopic Scalesupporting
confidence: 67%
“…Above this value, the stress drop distribution exhibits a power law tail, P ( X > Δ τ ) ~ Δ τ − α , with α = 0.8 for test 24, whereas the stress rises do not. This heavy tail, characterizing “wild” fluctuations associated with infinite variance [ Weiss et al ., ], superposes with “mild” fluctuations that dominate the distribution below the threshold. The highly negative skewness and positive kurtosis values observed in these cases are almost entirely explained by these wild fluctuations.…”
Section: Results: Mechanics Of the Competition Between Faulting And Cmentioning
confidence: 99%
“…For example, dislocation climb and glide are understood in averagedislocation models as acting in kinetic series, whereas the shape of the lambda law high-temperature curve is indicative of two (or more) physical processes acting independently (i.e., in kinetic parallel). Equally difficult is using averagedislocation models to understand steady state dislocation flow as being a self-organized, critical phenomenon [e.g., Bak, 1996], i.e., plasticity following the Gutenberg-Richter law [Gutenberg and Richter, 1949] in which dislocation activity consists of bursts of activity following a burstsize (energy)-frequency power law, behavior that has been characterized for a variety of crystalline solids [e.g., Thomson and Levine, 1998;Miguel et al, 2001;Richeton et al, 2006;Weiss et al, 2015]. Stone [1991] developed a model for dislocation plasticity that encompasses the lambda law observations and yet, in its embrace of stress sensitivity and (Arrhenius) temperature sensitivity, remains consistent with average-dislocation perspectives.…”
Section: Introductionmentioning
confidence: 99%