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Generalized statistical mechanics approaches to earthquakes and tectonics
F Vallianatos, G Papadakis… - Proceedings of the …, 2016 - royalsocietypublishing.org
Despite the extreme complexity that characterizes the mechanism of the earthquake
generation process, simple empirical scaling relations apply to the collective properties of …
generation process, simple empirical scaling relations apply to the collective properties of …
Tsallis q-Statistics in Seismology
Non-extensive statistical mechanics (or q-statistics) is based on the so-called non-additive
Tsallis entropy. Since its introduction by Tsallis, in 1988, as a generalization of the …
Tsallis entropy. Since its introduction by Tsallis, in 1988, as a generalization of the …
An effect of compound defects with x-shaped fissures and holes on brittleness and failure characteristics of deep rock mass
J Yu, Y Yao, T Xu, K Wang - Theoretical and Applied Fracture Mechanics, 2024 - Elsevier
Brittleness is a key parameter controlling the rock mechanical behaviors and failure
characteristics of engineering rock mass, such as fracability, cutability, drillability, sawability …
characteristics of engineering rock mass, such as fracability, cutability, drillability, sawability …
Non-extensivity and long-range correlations in the earthquake activity at the West Corinth rift (Greece)
In the present work the statistical properties of the earthquake activity in a highly seismic
region, the West Corinth rift (Central Greece), are being studied by means of generalized …
region, the West Corinth rift (Central Greece), are being studied by means of generalized …
[HTML][HTML] Acoustic emission behavior of rock materials containing two preexisting flaws and an opening subjected to uniaxial compression: insights into self-similarity …
P Li, J Sun, M Cai, F Ren, Q Guo, S Miao… - journal of materials …, 2022 - Elsevier
To investigate the acoustic emission (AE) self-similarity, chaotic, and fractal features and
precursory anomalies of the surrounding rock of underground caverns, uniaxial …
precursory anomalies of the surrounding rock of underground caverns, uniaxial …
Evidence of non-extensive statistical physics of the lithospheric instability approaching the 2004 Sumatran–Andaman and 2011 Honshu mega-earthquakes
F Vallianatos, P Sammonds - Tectonophysics, 2013 - Elsevier
In the present study, we demonstrate in the frame of non-extensive statistical physics,
significant deviations of the global seismic activity from a quasi-stationary regime before …
significant deviations of the global seismic activity from a quasi-stationary regime before …
Non-extensive statistical mechanics in acoustic emissions: Detection of upcoming fracture in rock materials
Acoustic emission (AE), recorded during uniaxial compressive loading with constantly
increasing stress and stepped stress increments until the fracture of prismatic marble …
increasing stress and stepped stress increments until the fracture of prismatic marble …
Natural time analysis of critical phenomena: The case of acoustic emissions in triaxially deformed Etna basalt
F Vallianatos, G Michas, P Benson… - Physica A: Statistical …, 2013 - Elsevier
Acoustic emissions exhibit complex correlations between space, time, and magnitude. As
such, they present a unique example for a complex time series. We apply the recently …
such, they present a unique example for a complex time series. We apply the recently …
Non-extensive and natural time analysis of seismicity before the Mw6. 4, October 12, 2013 earthquake in the South West segment of the Hellenic Arc
Earthquakes exhibit complex correlations in space, time, and magnitude. As such, they
present a unique example for a time series exhibiting complexity. To uncover hidden …
present a unique example for a time series exhibiting complexity. To uncover hidden …
Large earthquake occurrence estimation based on radial basis function neural networks
This paper presents a novel scheme for the estimation of large earthquake event occurrence
based on radial basis function (RBF) neural network (NN) models. The input vector to the …
based on radial basis function (RBF) neural network (NN) models. The input vector to the …