Investigations and new insights on earthquake mechanics from fault slip experiments

Dong, Longjun; Luo, Qiaomu

doi:10.1016/j.earscirev.2022.104019

Cited by 53 publications

(9 citation statements)

References 196 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hydro-mechanical coupling instabilities that have been observed to have occurred in unusual locations have become a hot topic of discussion in the world, as a result of the concern that certain types of industrial activity may cause damaging hazards [1][2][3][4] . In particular, the injection of fluids into underground formations 2,[5][6][7] and deep-level mining 8,9 , represent two situations that have changed in situ stress fields (see Fig. 1), and have been identified as particular activities that may induce earthquakes.…”

Section: Hydro-mechanical Coupling Characteristics and Weakening Mech...mentioning

confidence: 99%

Hydro-mechanical coupling characteristics and weakening mechanisms of filling joint resulting from water injection

Liu

et al. 2022

Sci Rep

View full text Add to dashboard Cite

The injection of fluids into fault gouges in rock formations disturbs the in situ stress conditions, leading to fault slip and increasing the risk of inducing earthquakes. The weakening effect and the permeation of the injected fluid can be influenced significantly by the presence of fault gouges. To investigate this issue, the hydro-mechanical characteristics of fault gouges were evaluated using physical tests to study the combined effects of coupling injecting water and shear deformation. We propose a new experimental apparatus that allows us to measure the spatial distribution of the thickness of a gouge layer sample under combined conditions of shearing and water injection, using 3D scanning technology to evaluate the primary flow path. The test results showed that injecting water had a significant effect in reducing the maximum shear strength, but the degree to which the strength was affected varied with the gouge fill material. The effect of shear deformation is that it will increase the inhomogeneity of the thickness distribution and therefore the distribution of injected water along the fault is not uniformly radial. Additionally, the properties of gouge fill material have an important influence on flow characteristics during fault slipping.

show abstract

Section: Hydro-mechanical Coupling Characteristics and Weakening Mech...mentioning

confidence: 99%

Hydro-mechanical coupling characteristics and weakening mechanisms of filling joint resulting from water injection

Liu

et al. 2022

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Microseismic monitoring technology (MMT) has found extensive applications in underground engineering for disasters and safety monitoring [1]. Specifically, it has been utilized for location monitoring [2], [3], as well as forecasting and providing early warning systems for rock bursts [4], and mine earthquake disasters during mining operations [5], [6]. The basic principle involves identifying microseismic events by analyzing prominent features within the monitoring data [7].…”

Section: Introductionmentioning

confidence: 99%

Multi-channel microseismic signals classification with convolutional neural networks

Shu,

Dawod,

Tepsan

et al. 2024

IJ-AI

View full text Add to dashboard Cite

Identifying and classifying microseismic signals is essential to warn of mines’ dangers. Deep learning has replaced traditional methods, but labor-intensive manual identification and varying deep learning outcomes pose challenges. This paper proposes a transfer learning-based convolutional neural network (CNN) method called microseismic signals-convolutional neural network (MS-CNN) to automatically recognize and classify microseismic events and blasts. The model was instructed on a limited sample of data to obtain an optimal weight model for microseismic waveform recognition and classification. A comparative analysis was performed with an existing CNN model and classical image classification models such as AlexNet, GoogLeNet, and ResNet50. The outcomes demonstrate that the MS-CNN model achieved the best recognition and classification effect (99.6% accuracy) in the shortest time (0.31 s to identify 277 images in the test set). Thus, the MS-CNN model can efficiently recognize and classify microseismic events and blasts in practical engineering applications, improving the recognition timeliness of microseismic signals and further enhancing the accuracy of event classification.

show abstract

“…Liu et al analyzed the airfoil tension crack at the preexisting crack tip in the roadway coal wall, determined the critical stress of rock burst, and analyzed its influencing factors (Liu et al, 2018;Liu et al, 2019;Liu et al, 2020;Liu et al, 2021). Several studies used acoustic emission and infrared monitoring to conduct experimental research on rock failures, which was of great significance in detecting rock mass failure on the engineering scale (Dong et al, 2019;Dong et al, 2020a;Dong et al, 2020b;Dong et al, 2021;Dong and Luo, 2022).…”

Section: Introductionmentioning

confidence: 99%

Factors influencing the anti-impact performance of a “roadway rock support” system

Tao

Wang²,

Gao³

et al. 2023

Front. Earth Sci.

View full text Add to dashboard Cite

A mechanical model of a circular section of a tunnel roadway considering damage is established to improve the impact protection performance of the “roadway rock-support” system and provide a theoretical basis for designing coal mine impact ground pressure roadway support. The formula of the critical rock burst load of a circular roadway is derived according to the instability theory of rock burst disturbance response. The influence of mechanical properties of surrounding rock and roadway support strength on the critical rock burst load of a roadway rock-support system is studied using the control variable method. The research shows that 1) under the support condition of a roadway, with the increase of uniaxial compressive strength, softening modulus, and internal friction angle of surrounding rock, the critical rock burst load of a roadway has an increasing trend; the critical rock burst load of roadway decreases with the increase of the elastic modulus of the surrounding rock. 2) Under the condition of no support, with the increase of uniaxial compressive strength, elastic modulus, and internal friction angle of surrounding rock, the critical rock burst load of roadway tends to increase. With the decrease of the surrounding rock’s softening modulus, the critical rock burst load of the roadway decreases. When the aforementioned four kinds of surrounding rock influence factors are the same, the critical load of rock burst under the supporting condition is much larger than that under the non-supporting condition. 3) A new impact tendency index K is defined as the ratio of the softening modulus and the elastic modulus. 4) The critical load of rock burst increases approximately linearly with the increase of support stress. The critical load of a rock burst is about 400 times as large as the supporting stress. Increasing roadway support strength can greatly improve the stability of the supporting and roadway surrounding rock system, and the stability of the supporting and roadway surrounding rock system can be improved by reasonably changing the mechanical properties of the surrounding rock.

show abstract

Investigations and new insights on earthquake mechanics from fault slip experiments

Cited by 53 publications

References 196 publications

Hydro-mechanical coupling characteristics and weakening mechanisms of filling joint resulting from water injection

Hydro-mechanical coupling characteristics and weakening mechanisms of filling joint resulting from water injection

Multi-channel microseismic signals classification with convolutional neural networks

Factors influencing the anti-impact performance of a “roadway rock support” system

Contact Info

Product

Resources

About