Literature DB >> 28119548

Generalized statistical mechanics approaches to earthquakes and tectonics.

Filippos Vallianatos1, Giorgos Papadakis1, Georgios Michas1.   

Abstract

Despite the extreme complexity that characterizes the mechanism of the earthquake generation process, simple empirical scaling relations apply to the collective properties of earthquakes and faults in a variety of tectonic environments and scales. The physical characterization of those properties and the scaling relations that describe them attract a wide scientific interest and are incorporated in the probabilistic forecasting of seismicity in local, regional and planetary scales. Considerable progress has been made in the analysis of the statistical mechanics of earthquakes, which, based on the principle of entropy, can provide a physical rationale to the macroscopic properties frequently observed. The scale-invariant properties, the (multi) fractal structures and the long-range interactions that have been found to characterize fault and earthquake populations have recently led to the consideration of non-extensive statistical mechanics (NESM) as a consistent statistical mechanics framework for the description of seismicity. The consistency between NESM and observations has been demonstrated in a series of publications on seismicity, faulting, rock physics and other fields of geosciences. The aim of this review is to present in a concise manner the fundamental macroscopic properties of earthquakes and faulting and how these can be derived by using the notions of statistical mechanics and NESM, providing further insights into earthquake physics and fault growth processes.

Keywords:  Tsallis entropy; complexity; earthquakes; faulting; scaling; statistical mechanics

Year:  2016        PMID: 28119548      PMCID: PMC5247524          DOI: 10.1098/rspa.2016.0497

Source DB:  PubMed          Journal:  Proc Math Phys Eng Sci        ISSN: 1364-5021            Impact factor:   2.704


  21 in total

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Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2003-09-09

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Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2004-06-02

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Journal:  Phys Rev Lett       Date:  2004-01-28       Impact factor: 9.161

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Journal:  Phys Rev Lett       Date:  1993-11-22       Impact factor: 9.161

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Journal:  Phys Rev Lett       Date:  1990-10-29       Impact factor: 9.161

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Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2006-02-01

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Authors:  R L Bruhn
Journal:  Science       Date:  1990-12-21       Impact factor: 47.728

9.  Analysis of self-organized criticality in Ehrenfest's dog-flea model.

Authors:  Burhan Bakar; Ugur Tirnakli
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-04-23

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Authors:  Ugur Tirnakli; Ernesto P Borges
Journal:  Sci Rep       Date:  2016-03-23       Impact factor: 4.379

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  5 in total

1.  A Complexity View into the Physics of the Accelerating Seismic Release Hypothesis: Theoretical Principles.

Authors:  Filippos Vallianatos; Georgios Chatzopoulos
Journal:  Entropy (Basel)       Date:  2018-10-01       Impact factor: 2.524

2.  Associating an Entropy with Power-Law Frequency of Events.

Authors:  Evaldo M F Curado; Fernando D Nobre; Angel Plastino
Journal:  Entropy (Basel)       Date:  2018-12-06       Impact factor: 2.524

3.  Complexity Analysis of Escher's Art.

Authors:  António M Lopes; J A Tenreiro Machado
Journal:  Entropy (Basel)       Date:  2019-05-31       Impact factor: 2.524

4.  Complexity of the Yellowstone Park Volcanic Field Seismicity in Terms of Tsallis Entropy.

Authors:  Kalliopi Chochlaki; Georgios Michas; Filippos Vallianatos
Journal:  Entropy (Basel)       Date:  2018-09-20       Impact factor: 2.524

5.  A model for the size distribution of marine microplastics: A statistical mechanics approach.

Authors:  Kunihiro Aoki; Ryo Furue
Journal:  PLoS One       Date:  2021-11-30       Impact factor: 3.240

  5 in total

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