Collaborative localization method using analytical and iterative solutions for microseismic/acoustic emission sources in the rockmass structure for underground mining

Dong, Longjun; Zou, Wei; Li, Xibing; Shu, Weiwei; Wang, Zewei

doi:10.1016/j.engfracmech.2018.01.032

Cited by 158 publications

(63 citation statements)

References 27 publications

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“…In order to solve the accuracy of localization methods based on the arrival time difference, the collaborative localization method using analytical and iterative solutions (CLMAI) was proposed, which combined with the arrivals of multisensor and inversion of the real-time average wave velocity, to seek the optimal locating results. This method has the following four advantages: without iterative algorithm, without premeasured velocity, without initial value, and without square root operations [16,17]. In in situ direct shear test studies, an initially intact region of rock bounded by joints and a seam are fractured, generating an AE.…”

Section: Introductionmentioning

confidence: 99%

The Mechanical and Fracturing of Rockburst in Tunnel and Its Acoustic Emission Characteristics

Liu

Zhan

Zhang

et al. 2018

Shock and Vibration

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The phenomenon of acoustic emission (AE) is associated with rock failure and rock fracturing. In order to investigate the influence of tectonic stress on rockburst in tunnel, a biaxial loading experiment system was used in this study. The excavation operation is undertaken at the center of samples to monitor the tunnel forming process in situ, and the different horizontal stresses can be studied by using the AE monitoring technique. The dynamical fracturing process of the tunnel model was summarized, and the timing parameters of AE signals in rockburst stages were obtained. The curves of AE energy and cumulative AE energy with time show a "step-like" rising trend before the occurrence of rockburst. The evolution of macro-and mesocracks is captured, and the mechanical conditions for a "V-shaped" rockburst pit are derived. As the horizontal stress increases, the effect of excavation unloading becomes more pronounced, and the damage caused by the rockburst intensifies. In the early stage of rockburst evolution, the fracturing type follows a model of tensile-shear mix model. A positive relationship between the ratio of shear fracturing type and the horizontal stress can be noted when the rock is about to burst, and the high intensity and the high energy released of from the rock-fracturing event have become evident. Thus, the results indicate that one should focus on monitoring both sides of the surrounding rock of the tunnel so as to extract the characteristics of the process of tunnel in tunnel. The applications of biaxial loading system and during an excavation operation provide a useful tool to simulate the rock burst in tunnel at an engineering site.

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Section: Introductionmentioning

confidence: 99%

The Mechanical and Fracturing of Rockburst in Tunnel and Its Acoustic Emission Characteristics

Liu

Zhan

Zhang

et al. 2018

Shock and Vibration

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“…To solve the above problems, the three-dimensional comprehensive analytical solutions (TDCAS) without premeasured velocity under random sensor networks was proposed [164]. en, a collaborative localization method using analytical and iterative solutions (CLMAI) was proposed, which combined with the arrivals of multisensor and inversion of the real-time average wave velocity to seek the optimal locating results [165]. e analytical localization method is used to remove abnormal arrivals since it has a stable solution with the high precision when the input data are accurate.…”

Section: Microseismic (Ms) Techniquementioning

confidence: 99%

Dynamic Stability Analysis of Rockmass: A Review

Dong

Wang

et al. 2018

Advances in Civil Engineering

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ere are a series of human or natural activities, including earthquakes, explosions, and rockbursts, which have caused a number of safety accidents in geotechnical engineering. is review paper summarized the theories and methods for dynamic stability analysis of rockmass. First, numerical simulation methods, including finite element method (FEM), discrete element method (DEM), finite difference method (FDM), boundary element method (BEM), discontinuous deformation analysis method (DDA), and numerical manifold method (NMM), are summarized. Second, the laboratory experiments, containing shaking table test, split-Hopkinson pressure bar test (SHPB), improved true-triaxial test, dynamic centrifugal model test, acoustic emission (AE) technique, and dynamic infrared monitoring, are considered. ird, the in situ tests including microseismic (MS) technique, velocity tomography, stress-strain monitoring, and electromagnetic radiation monitoring are considered. Finally, some comprehensive analysis methods based on statistical theories are also provided. It is pointed out that the study foundation for the dynamic stability of rockmass is weak to explain the mechanism. So, a set of general comprehensive theories integrating the different methods, including theoretical analysis, numerical methods, laboratory experiments, and in situ tests, should be completely established. is is the most effective way for further investigation.

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“…According to some scholars [26][27][28], the position of Acoustic Emission (AE) events can be calculated using the following formulas:…”

Section: Mine Tremors Position: a 3d Location Approachmentioning

confidence: 99%

Investigation into Mechanism of Floor Dynamic Rupture by Evolution Characteristics of Stress and Mine Tremors: A Case Study in Guojiahe Coal Mine, China

Liu

Javed

Gong

et al. 2018

Shock and Vibration

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In order to explore the mechanism of floor dynamic rupture, the current study adopts a thin plate model to further investigate the condition of floor failure. One of the possible explanations could be floor buckling due to high horizontal stress and dynamic disturbance ultimately leading to rapid and massive release of elastic energy thus inducing dynamic rupture. Seismic computed tomography and 3D location were employed to explore the evolution characteristics of floor stress distribution and positions of mine tremors. In the regions of floor dynamic rupture, higher P-wave velocity was recorded prior to the dynamic rupture. On the contrary, relatively lower reading was observed after the dynamic rupture thus depicting a high stress concentration condition. Meanwhile, evolution of mine tremors revealed the accumulation and subsequent release of energy during the dynamic rupture process. It was further revealed that dynamic rupture was induced due to the superposition of static and dynamic stresses: (i) the high static stress concentration due to frontal and lateral abutment stress from coal pillar and (ii) dynamic stress from the fracture and caving of coal pillar, hard roof, and key stratum. In the later part of this study, the floor dynamic rupture occurrence process would be reproduced through numerical simulations within a 0.6 sec time frame. The above-mentioned findings would be used to propose a feasible mechanism for prewarning and prevention of floor dynamic rupture using seismic computed tomography and mine tremors 3D location.

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Collaborative localization method using analytical and iterative solutions for microseismic/acoustic emission sources in the rockmass structure for underground mining

Cited by 158 publications

References 27 publications

The Mechanical and Fracturing of Rockburst in Tunnel and Its Acoustic Emission Characteristics

The Mechanical and Fracturing of Rockburst in Tunnel and Its Acoustic Emission Characteristics

Dynamic Stability Analysis of Rockmass: A Review

Investigation into Mechanism of Floor Dynamic Rupture by Evolution Characteristics of Stress and Mine Tremors: A Case Study in Guojiahe Coal Mine, China

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