Change of crackling noise in granite by thermal damage: Monitoring nuclear waste deposits

Xie, Kainan; Jiang, Xiang; Jiang, Deyi; Xiao, Yang; Chen, Shiwan; Dahmen, Karin A.; Vives, Eduard; Planes, Antoni; Salje, Ekhard K. H.

doi:10.2138/am-2019-7058

Cited by 16 publications

(7 citation statements)

References 52 publications

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“…These temporal distributions can be described by the waiting time. Waiting time refers to the time interval between two adjacent AE pulses (Kun et al, 2013;Xie et al, 2019), which is defined as δ j = t j − t j−1 , where the energy of the j event must be larger than the threshold energy E min . According to the universal scaling law (Baró et al, 2013;Nataf et al, 2014a), after normalization by its average, the distribution of waiting time collapses into a single or double power law.…”

Section: Statistical Characteristics Of Ae Energymentioning

confidence: 99%

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The effect of supercritical CO2 on failure mechanisms of hot dry rock

Jiang

et al. 2022

Adv. Geo-Energy Res.

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Hot dry rock is a clean, renewable resource of geothermal energy with good stability and a high utilization rate. Supercritical CO 2 has shown promising results for improving the permeability and heat exchange of hot dry rock. In order to demonstrate the effect of supercritical CO 2 on the failure mechanism of granite, the acoustic emission of granite during its failure process were studied in addition to X-ray diffraction, scanning electron microscopy, and optical electron microscopy investigations. The experimental results showed that for granite without supercritical CO 2 treatment, as it approached failure, there were many acoustic emission events with a waiting time less than 0.0001 s, and that the power law exponent of the acoustic emission energy distribution decreased. The failure mechanisms were a combination of fracture and friction, with fracturing dominant. After immersion in supercritical CO 2 , new cracks and pores appeared in the granite due to the dissolution of minerals, but friction was also a factor evidenced in particle crumbing. Generally, the acoustic emission statistical distributions of granite before and after supercritical CO 2 soaking conformed to the seismic statistical distribution law. This study is conducive to increasing the understanding of artificial earthquakes induced by the development of hot dry rock.

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Section: Statistical Characteristics Of Ae Energymentioning

confidence: 99%

“…The formula for the maximum likelihood exponent method based on the double power law in the literature (Eq. ( 5)) is used to fit the experimental data (Xie et al, 2019).…”

Section: Mixing and Damping Analysismentioning

confidence: 99%

The effect of supercritical CO2 on failure mechanisms of hot dry rock

Jiang

et al. 2022

Adv. Geo-Energy Res.

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“…Several other compression experiments show that the mixing effect of different avalanche mechanisms is a common phenomenon. For example, compression experiments on granite show that the crumbling and fracture mechanism of granite mineral particles can form a state of avalanche mixing [72]. High temperature annealing (near the α-β phase transition temperature of quartz) reduces the internal constraints of granite and weakens the effect of fracture, so that the mixing between crumbles and fracture is observed (Figure 8).…”

Section: Avalanche Mixingmentioning

confidence: 99%

Acoustic Emission Spectroscopy: Applications in Geomaterials and Related Materials

et al. 2021

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As a non-destructive testing technology with fast response and high resolution, acoustic emission is widely used in material monitoring. The material deforms under stress and releases elastic waves. The wave signals are received by piezoelectric sensors and converted into electrical signals for rapid storage and analysis. Although the acoustic emission signal is not the original stress signal inside the material, the typical statistical distributions of acoustic emission energy and waiting time between signals are not affected by signal conversion. In this review, we first introduce acoustic emission technology and its main parameters. Then, the relationship between the exponents of power law distributed AE signals and material failure state is reviewed. The change of distribution exponent reflects the transition of the material’s internal failure from a random and uncorrelated state to an interrelated state, and this change can act as an early warning of material failure. The failure process of materials is often not a single mechanism, and the interaction of multiple mechanisms can be reflected in the probability density distribution of the AE energy. A large number of examples, including acoustic emission analysis of biocemented geological materials, hydroxyapatite (human teeth), sandstone creep, granite, and sugar lumps are introduced. Finally, some supplementary discussions are made on the applicability of Båth’s law.

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“…The acoustic waves emitted by a sample during changing fields is detected by piezoelectric receivers and analysed using straightforward amplification devices. A simple summary is found in (Chen et al 2019;Xie et al 2019).…”

Section: Acoustic Emission (Ae) Spectroscopymentioning

confidence: 99%

“…We now explore what happens when stress is applied to a porous sample and refer to the extended literature for samples with crack propagation (here the crack propagation in granite is a particularly nice example how AE and avalanche physics helped to determine the thermal stability of minerals (Xie et al 2019)). When stress is imposed, a hole will eventually collapse.…”

Section: Porous Collapsementioning

confidence: 99%

Crackling noise and avalanches in minerals

Salje

Jiang

2021

Phys Chem Minerals

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The non-smooth, jerky movements of microstructures under external forcing in minerals are explained by avalanche theory in this review. External stress or internal deformations by impurities and electric fields modify microstructures by typical pattern formations. Very common are the collapse of holes, the movement of twin boundaries and the crushing of biominerals. These three cases are used to demonstrate that they follow very similar time dependences, as predicted by avalanche theories. The experimental observation method described in this review is the acoustic emission spectroscopy (AE) although other methods are referenced. The overarching properties in these studies is that the probability to observe an avalanche jerk J is a power law distributed P(J) ~ J−ε where ε is the energy exponent (in simple mean field theory: ε = 1.33 or ε = 1.66). This power law implies that the dynamic pattern formation covers a large range (several decades) of energies, lengths and times. Other scaling properties are briefly discussed. The generated patterns have high fractal dimensions and display great complexity.

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Change of crackling noise in granite by thermal damage: Monitoring nuclear waste deposits

Cited by 16 publications

References 52 publications

The effect of supercritical CO2 on failure mechanisms of hot dry rock

The effect of supercritical CO2 on failure mechanisms of hot dry rock

Acoustic Emission Spectroscopy: Applications in Geomaterials and Related Materials

Crackling noise and avalanches in minerals

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