Rupture by damage accumulation in rocks

Amitrano, David

doi:10.1007/s10704-006-0053-z

Cited by 65 publications

(32 citation statements)

References 73 publications

(101 reference statements)

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“…In contrast to the total loss of the temporal self-similarity prior to fragmentation, only a reversible variation of the b-value was detected. A decrease of the b-value that occurred prior to the "catastrophe" is in agreement with numerous laboratory experiments and field observations reported by many authors (Sobolev et al, 1991;Kapiris et al, 2004;Amitrano, 2006). A distinguishing feature of the ASIC dynamics is the reversibility of the b-value variation, while in conventional geophysical objects the decrease of the b-value is usually considered as a precursor of terminal state (Amitrano, 2006, and references therein).…”

Section: Discussionsupporting

confidence: 89%

“…Chmel (chmel@mail.ioffe.ru) mentations (Korsnes et al, 2004;Chmel et al, 2005). As a rule, the scaling properties of damaged solids are regarded as a result of nucleation and gradual, monotonic development of some self-similar structures, such as the ensemble of hypocenters in rocks or ice (Zang et al, 1998;Weiss, 2003;Amitrano, 2006), or fatigue microcracks in metals (Botvina, 2004). However, the suggested one-way self-organizing is ill-consistent with the hierarchic organization of fracturing (Gabrielov, 2000;Botvina, 2004;Tomilin and Kuksenko, 2004).…”

Section: Introductionmentioning

confidence: 99%

“…However, the suggested one-way self-organizing is ill-consistent with the hierarchic organization of fracturing (Gabrielov, 2000;Botvina, 2004;Tomilin and Kuksenko, 2004). The natural observations (Varotsos, 2002;Kapiris et al, 2003), laboratory experiments (Lockner et al, 1992;Kuksenko et al, 1996) and analytical consideration (Amitrano, 2006) evidence the presence of stages of clustering of damages including a multistage faulting (Tomilin and Kuksenko, 2004) when clusters of damages of lower size form damages of higher size, which, in turn, serve as precursors for subsequent fault nucleation. Two to three cycles of the hierarchic magnification were detected experimentally (Tomilin and Kuksenko, 2004) but up to now this phenomenon was not bound to virtual anomalies in the scaling properties of the process.…”

Section: Introductionmentioning

confidence: 99%

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Anomalies of critical state in fracturing geophysical objects

Chmel

Kuksenko

Smirnov

et al. 2007

Nonlin. Processes Geophys.

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Abstract. Non-linear time-sequences of fracture-related events were studied in drifting sea-ice and fracturing rock. A reversible drop of the b-value was detected prior to the largescale sea-ice cover fragmentation, when the time sequence of impact interactions between ice-fields was fully decorrelated. A similar loss of the temporal invariance of the fracture process was revealed in the time sequence of microfracture events detected in a loaded rock sample. These temporal gaps in the continuous critical state of the considered selforganizing, open systems were attributed to the property of hierarchicity inherent in the geophysical objects. A combination of scaling and hierarchic features in the behavior of fracturing solids manifests itself in the heterogeneity of the temporal pattern of fracture process.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Anomalies of critical state in fracturing geophysical objects

Chmel

Kuksenko

Smirnov

et al. 2007

Nonlin. Processes Geophys.

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“…Using the aftershock catalogue of Hauksson et al (2012), we compare our estimates with the distribution of seismicity around the main fault, which is another indicator of distributed damage in the host rock (Amitrano 2006;Powers & Jordan 2010). As shown in Fig.…”

Section: Discussionmentioning

confidence: 99%

Revisiting the 1992 Landers earthquake: a Bayesian exploration of co-seismic slip and off-fault damage

Gombert¹,

Duputel²,

Jolivet

et al. 2017

Geophysical Journal International

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S U M M A R YExisting models for the distribution of subsurface fault slip associated with the 1992 Landers, CA, earthquake (M w = 7.3) show significant dissimilarities. In particular, they exhibit different amounts of slip at shallow depths (<5 km). These discrepancies can be primarily attributed to the ill-posed nature of the slip inversion problem and to the use of physically unjustifiable smoothing or regularization constraints. In this study, we propose a new coseismic model obtained from the joint inversion of multiple observations in a relatively unregularized and fully Bayesian framework. We use a comprehensive data set including GPS, terrestrial geodesy, multiple SAR interferograms and co-seismic offsets from correlation of aerial images. These observations provide dense coverage of both near-and far-field deformation. To limit the impact of modelling uncertainties, we develop a 3-D fault geometry designed from field observations, co-seismic offsets and the distribution of aftershocks. In addition, we account for uncertainty in the assumed elastic structure used to compute the Green's functions. Our solution includes the ensemble of all plausible models that are consistent with our prior information and fit the available observations within data and prediction uncertainties. Using near-fault high-resolution ground deformation measurements and the density of aftershocks, we investigate the properties of the damage zone and its impact on the inferred slip at depth. We attribute a part of the inferred slip deficit at shallow depth to our models not including the impact of a damage zone associated with a reduction of shear modulus in the vicinity of the fault.

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“…When cracks within rock germinate, expand, and ultimately penetrate, the internal accumulation strain energy is released in the form of waves, resulting in microseismic events [1][2][3][4][5]. Microseismic monitoring technology can be employed to collect and analyse microseismic events, the data from which can be used to invert the time, location, and magnitude of microseismic event and predict the possibility, energy, and position of large-scale deformation and failure of soft rock tunnels [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Research on the Law of Large-Scale Deformation and Failure of Soft Rock Based on Microseismic Monitoring

Chen

Tang

et al. 2018

Advances in Civil Engineering

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Based on the existing Canadian ESG microseismic monitoring system, a mobile microseismic monitoring system for a soft rock tunnel has been successfully constructed through continuous exploration and improvement to study the large-scale nucleation and development of microfractures in the soft rock of the Yangshan Tunnel. All-weather, continuous real-time monitoring is conducted while the tunnel is excavated through drilling and blasting, and the waveform characteristics of microseismic events are analysed. rough the recorded microseismic monitoring data, the variation characteristics of various parameters (e.g., the temporal, spatial, and magnitude distributions of the microseismic events, the frequency of microseismic events, and the microseismic event density and energy) are separately studied during the process of large-scale deformation instability and failure of the soft rock tunnel. e relationship between the deterioration of the rock mass and the microseismic activity during this failure process is consequently discussed. e research results show that a microseismic monitoring system can be used to detect precursors; namely, the microseismic event frequency and energy both will appear "lull" and "active" periods during the whole failure process of soft rock tunnel. Two peaks are observed during the evolution of failure. When the second peak occurs, it is accompanied by the destruction of the surrounding rock. e extent and strength of the damage within the surrounding rock can be delineated by the spatial, temporal, and magnitude distributions of the microseismic events and a microseismic event density nephogram. e results of microseismic analysis confirm that a microseismic monitoring system can be used to monitor the largescale deformation and failure processes of a soft rock tunnel and provide early warning for on-site construction workers to ensure the smooth development of the project.

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Rupture by damage accumulation in rocks

Cited by 65 publications

References 73 publications

Anomalies of critical state in fracturing geophysical objects

Anomalies of critical state in fracturing geophysical objects

Revisiting the 1992 Landers earthquake: a Bayesian exploration of co-seismic slip and off-fault damage

Research on the Law of Large-Scale Deformation and Failure of Soft Rock Based on Microseismic Monitoring

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