2010
DOI: 10.1098/rsta.2009.0206
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Entropy production and self-organized (sub)criticality in earthquake dynamics

Abstract: We derive an analytical expression for entropy production in earthquake populations based on Dewar's formulation, including flux (tectonic forcing) and source (earthquake population) terms, and apply it to the Olami-Feder-Christensen numerical model for earthquake dynamics. Assuming the commonly observed power-law rheology between driving stress and remote strain rate, we test the hypothesis that maximum entropy production (MEP) is a thermodynamic driver for self-organized 'criticality' (SOC) in the model. MEP… Show more

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Cited by 40 publications
(10 citation statements)
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“…Moments, spatial and temporal distributions then scale as power laws 54 . For stick–slip asperities at Rhonegletscher, the lack of strong mechanical coupling between the asperities prohibits these large-scale failures resulting in moment dependent recurrence times revealing a memory of past events and a sub-critical state of self-organization 55 , whereas for a super-critical asperity density, randomness in recurrence times is expected 52 . On the other hand, critical asperity density could be a failure criterion for catastrophic glacial collapses 7 .…”
Section: Discussionmentioning
confidence: 99%
“…Moments, spatial and temporal distributions then scale as power laws 54 . For stick–slip asperities at Rhonegletscher, the lack of strong mechanical coupling between the asperities prohibits these large-scale failures resulting in moment dependent recurrence times revealing a memory of past events and a sub-critical state of self-organization 55 , whereas for a super-critical asperity density, randomness in recurrence times is expected 52 . On the other hand, critical asperity density could be a failure criterion for catastrophic glacial collapses 7 .…”
Section: Discussionmentioning
confidence: 99%
“…The range of the parameter α where the maximum of the entropy production rate is achieved corresponds to the subcritical regime of the OFC model. A critical point was suggested to exist at α = 0.25 with a diverging correlation length and average avalanche sizes [41].…”
Section: The Olami-feder-christensen (Ofc) Modelmentioning
confidence: 99%
“…Moreover, Main & Al-Kindy [77] used equation (2.16) to investigate the proximity of global seismicity to criticality, characterized by the dissipated seismic energy E and the entropy S. The authors defined a subcritical state for positive θ and a supercritical state for negative θ and concluded that global seismicity is in a near-critical state, in which large fluctuations are dominated by fluctuations in θ rather than β and large seismic energy fluctuations can occur for smaller entropy fluctuations [77]. The hypothesis that the Earth's lithosphere is in a state of thermodynamically driven maximum entropy production and SOC was tested by Main & Naylor [78,80]. The authors explored this hypothesis using the Olami-Feder-Christensen (OFC) model [81] …”
Section: (B) the Classical Statistical Mechanics Approachmentioning
confidence: 99%
“…BG statistical mechanics has been applied to earthquake physics in a series of works, which address the theory as a variational principle for deriving the large-scale properties of earthquake populations [11,75] or to investigate the thermodynamic state of the crust [76][77][78]. One of the first studies that applied statistical mechanics to earthquakes was that of Berrill & Davis [79].…”
Section: (B) the Classical Statistical Mechanics Approachmentioning
confidence: 99%