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Effect of the loading condition on the statistics of crackling noise accompanying the failure of porous rocks.
Szuszik, Csanád; Main, Ian G; Kun, Ferenc.
Afiliação
  • Szuszik C; Department of Theoretical Physics, Doctoral School of Physics, Faculty of Science and Technology, University of Debrecen, PO Box 400, 4002 Debrecen, Hungary.
  • Main IG; School of Geosciences, University of Edinburgh, Edinburgh EH9 3FE, UK.
  • Kun F; Department of Theoretical Physics, Doctoral School of Physics, Faculty of Science and Technology, University of Debrecen, PO Box 400, 4002 Debrecen, Hungary.
R Soc Open Sci ; 10(11): 230528, 2023 Nov.
Article em En | MEDLINE | ID: mdl-38026039
We test the hypothesis that loading conditions affect the statistical features of crackling noise accompanying the failure of porous rocks by performing discrete element simulations of the tensile failure of model rocks and comparing the results to those of compressive simulations of the same samples. Cylindrical samples are constructed by sedimenting randomly sized spherical particles connected by beam elements representing the cementation of granules. Under a slowly increasing external tensile load, the cohesive contacts between particles break in bursts whose size fluctuates over a broad range. Close to failure breaking avalanches are found to localize on a highly stressed region where the catastrophic avalanche is triggered and the specimen breaks apart along a spanning crack. The fracture plane has a random position and orientation falling most likely close to the centre of the specimen perpendicular to the load direction. In spite of the strongly different strengths, degrees of 'brittleness' and spatial structure of damage of tensile and compressive failure of model rocks, our calculations revealed that the size, energy and duration of avalanches, and the waiting time between consecutive events all obey scale-free statistics with power law exponents which agree within their error bars in the two loading cases.
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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: R Soc Open Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Hungria

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: R Soc Open Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Hungria