Moment tensor evaluation of acoustic emission sources in salt rock

Manthei, Gerd; Eisenblätter, J.; Dahm, Torsten

doi:10.1016/s0950-0618(00)00078-7

Cited by 51 publications

(30 citation statements)

References 7 publications

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“…The minimum number of channels required for three‐dimensional location is four, but reasonably accurate results are achieved with six or more channels. Moment tensor analysis of acoustic emission signals received at different sensor locations allows one to determine the type (tensile or shear crack, or pore collapse) and spatial orientation of the crack that produced the given signal [15]. An additional insight into the fracturing process can be gained from spectral and wavelet analysis of the full waveforms of the signals [16].…”

Section: Fracture‐induced Physical Phenomena In Rocksmentioning

confidence: 99%

Fracture‐induced Physical Phenomena and Memory Effects in Rocks: A Review

Lavrov

2005

Strain

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Losing stability, the earth split; Losing strength, the mountains sank. Tao De Ching Abstract: Fracture‐induced physical phenomena allow a real‐time monitoring of damage evolution in rocks induced by mechanical loading. Some of these phenomena, e.g. plastic deformation, changes in permeability and electric resistivity, provide an overall estimate of damage as a function of stress. Others, such as acoustic emission or electromagnetic emission, allow an exact location of cracks in space and time. Being nondestructive, monitoring techniques based on fracture‐induced physical phenomena, are a basis for prediction of earthquakes and rockbursts in underground mines. They are also crucial for a fundamental understanding of rock fracture mechanisms and for developing constitutive models of rock behaviour. Memory effects take place in rocks subjected to cyclic loading with the peak stress (strain) value increasing from cycle to cycle. The effects are represented by certain characteristic changes in rock properties and parameters that are observed when the stress (strain) reaches its previous peak value. Potential applications of memory effects range from stress measurement techniques to earthquake prediction to damage surface scanning. Essential experimental and theoretical results on fracture‐induced physical phenomena and memory effects in rocks are considered in the article. Possible applications as well as not‐yet‐clear points are discussed.

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Section: Fracture‐induced Physical Phenomena In Rocksmentioning

confidence: 99%

Fracture‐induced Physical Phenomena and Memory Effects in Rocks: A Review

Lavrov

2005

Strain

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“…The resolved MTs are typically decomposed into volumetric and deviatoric components, using various decomposition schemes allowing for an understanding of the detailed physical kinematic source processes, regardless of the type of seismicity and event magnitude. The MT inversion has been applied to resolve the displacements in the source for large and small natural earthquakes (Vavryčuk et al, 2008;Scognamiglio et al, 2010;, induced microseismicity (Ross et al, 1996;Panza and Saraò, 2000;Šílený and Milev, 2006;Cesca et al, 2013;Guilhem et al, 2014;Johnson, 2014a,b), as well as for acoustic emission activity measured in situ (Manthei et al, 2001;Collins et al, 2002) or in laboratory experiments on rocks samples (Sellers et al, 2003;Thompson et al, 2009;Graham et al, 2010;Charalampidou et al, 2011;Kwiatek, Goebel, and Dresen, 2014). The analysis of seismic MTs sheds light on numerous issues of earthquake physics, such as rupture dynamics (McGarr and Fletcher, 2003;McGarr et al, 2010), fault complexity (McLaskey and Glaser, 2011;McGarr, 2012), the role of pore pressure in seismogenic processes (Fischer and Guest, 2011), and damage-related radiation of seismic energy (Ben-Zion and Ampuero, 2009;Castro and Ben-Zion, 2013, among others).…”

Section: Introductionmentioning

confidence: 99%

HybridMT: A MATLAB/Shell Environment Package for Seismic Moment Tensor Inversion and Refinement

Kwiatek

Martínez‐Garzón

Bohnhoff

2016

Seismological Research Letters

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We present the software package hybridMT which allows performing seismic moment tensor inversion and refinement, optimized for earthquake data recorded by regional-to-local seismic networks as well as for acoustic emission activity. The provided software package is designed predominantly for use in MATLAB (see Data and Resources)/shell environments. The algorithm uses first P-wave amplitudes to invert for unconstrained full, deviatoric, and double-couple constrained moment tensors. Uncertainty assessment is performed by bootstrap resampling. The moment tensor inversion may be performed directly in the shell environment (by a dedicated command-line tool) or conveniently through the MATLAB interface (m-functions). In addition to moment tensor inversion, we also provide the MATLAB implementation of the hybrid moment tensor technique. This methodology increases the quality of calculated seismic moment tensors from events forming a spatial cluster by assessing and correcting for poorly known path and site effects. We tested hybridMT on synthetic datasets, acoustic emission data recorded during laboratory rock deformation experiments, and induced seismicity data from a geothermal reservoir. The package is supplemented with extensive documentation, tutorials, and a dedicated website. HybridMT is freely available and distributed under General Public License.

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“…New attempts, such as focal mechanisms and moment tensor analysis using radiation patterns of AE sources, have also been recently applied to examine failure mechanisms in rock [18][19][20]. The moment tensor analysis was originally developed to analyze the modes of seismic waves.…”

Section: Introductionmentioning

confidence: 99%