Fuzzy classification of roof fall predictors in microseismic monitoring

Bertoncini, Crystal; Hinders, Mark K.

doi:10.1016/j.measurement.2010.09.015

Cited by 34 publications

(6 citation statements)

References 23 publications

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“…Ebrahim et al studied the effective parameters that influence roadway roof caving and presented a semiquantitative technology for roof caving evaluation and control [14]. Crystal et al came up with a microseismic monitoring method for roof caving and successfully predicted a roof caving accident twice [15]. Tai et al analyzed the failure characteristics of a large-section coal roadway roof and developed a support scheme of grouting+U steel bracket+anchor bolt+anchor rope [16].…”

Section: Introductionmentioning

confidence: 99%

Failure Mechanism and Control Technology for a Large-Section Roadway under Weakly Cemented Formation Condition

Yin

Zhang

2020

Geofluids

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The roof of a large-section roadway will usually undergo progressive deformation and failure under the action of deep surrounding rock stress. The large-section rectangular roadway is more prone to sudden roof caving accident under the weakly cemented formation condition, which poses great threats to operating personnel and mechanical equipment and brings about considerable difficulties to roof monitoring and evaluation. A large-scale caving accident that occurred on a large-section rectangular roadway in Bojianghaizi Mine in Inner Mongolia was taken as the study object. The factors that triggered the roadway roof caving were analyzed by investigating the roof caving mechanism of weakly cemented overlying strata, and an effective roof supporting method was proposed. A numerical mechanical analysis model was established for surrounding rocks of the roadway by using the discrete element method, and numerical simulation results showed that obvious vertical cracks would be generated at two ends of the roof under the action of shearing stress. With upward crack propagation and transverse crack penetration at the roof separation, a dangerous caving zone penetrated by cracks formed inside the roof. The permeation of the upper aquifer would reduce the rock strata strength at the roof and further aggravate the risk of roadway caving. In accordance with the numerical simulation and comprehensive analysis of field exploration data, the main reasons for the roadway caving accident were concluded as follows: (1) low rock strata strength at the roof and the influence of tectonic stress in deep surrounding rocks, (2) unreasonable original support pattern, and (3) permeation of the upper aquifer. On this basis, an improved support scheme was proposed, and field monitoring data showed that the maximum separation amount of the roof was controlled at 14 mm, and the roof deformation was well controlled, thus meeting the safety production requirements. The proposed method can provide a reference for the control of weak roadway roof and its support scheme design.

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Section: Introductionmentioning

confidence: 99%

Failure Mechanism and Control Technology for a Large-Section Roadway under Weakly Cemented Formation Condition

Yin

Zhang

2020

Geofluids

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“…With the development of geophysics, especially the application of digital seismic monitoring technology, it has provided the necessary technical basis for the study of microseismic in a small area with weak signals. In recent years, scholars from the United States and other countries have carried out a series of tests in Hydropower dam, geothermy, hydraulic fracturing, nuclear waste treatment, oil, mining and other major projects which have successfully demonstrated that microseismic techniques can be applied to those projects [2][3][4]. At present, China has made different degrees of exploration and application of microseismic technology in oil and gas [5][6][7], mining [8][9][10][11], civil engineering [12][13][14][15] and other fields, and gained valuable experience.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on Microseismic Monitoring Highway Bridge Pile Foundation Construction

Yanhua¹,

Cai²

2019

AJCE

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With the development of urban construction, it is inevitable that new or expanded highways cross or parallel with existing buried pipelines. The impact vibration caused by the construction of perforated pile foundation of highway bridge is bound to have adverse effects on the safe operation of adjacent buried pipelines. Based on the micro seismic monitoring technique, the characteristics of pile foundation construction vibration is researched. A series of sensors are placed on the surface and adjacent pipelines to collect micro seismic events of impact hammer on different hoisting height and different excavation depth of pile foundation construction. Thus, the wave characteristics, spectrum characteristics and energy attenuation law of microseismic signal are analyzed, and the influencing factors of construction vibration are studied. It is found that the peak value of acceleration vibration in the vertical direction is the largest, followed by the peak value of radial acceleration vibration, the vibration energy decays in power relation with the propagation distance, and with the increase of the pile hole depth, the vibration velocity of the same horizontal distance decreases gradually. The attenuation is related to the geological condition of a certain pile hole depth. The research results have some guiding significance for the vibration control of pile foundation construction.

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“…Tang et al (2010) analyzed the relationship between the roof separation and the roof deformation under the support method of combined support with anchor. Bertoncini and Hinders (2010) made fuzzy classification of roof fall predictors in microseismic monitoring. Saeedi et al (2013) presented the effect of exposed area geometry on potential roof falls using the 2D numerical modeling program.…”

Section: Introductionmentioning

confidence: 99%

Gray algebraic curve model-based roof separation prediction method for the warning of roof fall accidents

Xie

Zhu

2016

Arab J Geosci

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Roof separation is one of the main precursors of coal mine accidents at the workface. At present, indicator data are usually read in an attempt to understand the real-time changes of the roof separation, but the change trend cannot be predicted. Predicting the change trend of roof separation on time can play a very important role in roof control. In this study, we apply the gray theoretical analysis method to predict the change trend of roof separation. We use Universal Distinct Element Code (UDEC) numerical simulation software to simulate the generation processes of roof separation. For this purpose, we consider four scenarios with different immediate roof heights. Using experimental separation data as original data, we predict roof separation using the gray algebraic curve model (GAM). The GAM-predicted data show little error when compared with the experimental data and are also better compared with prediction data obtained with the traditional gray model GM(1,1). Finally, in a case study using fieldmonitoring roof separation data from a mine, the GAM method led to good prediction results, and the predicted development trend reflected the real conditions. Thus, we prove that GAM is a very effective prediction method, which will be very useful in predicting roof separation trends for the warning of roof fall accidents.

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Fuzzy classification of roof fall predictors in microseismic monitoring

Cited by 34 publications

References 23 publications

Failure Mechanism and Control Technology for a Large-Section Roadway under Weakly Cemented Formation Condition

Failure Mechanism and Control Technology for a Large-Section Roadway under Weakly Cemented Formation Condition

Experimental Study on Microseismic Monitoring Highway Bridge Pile Foundation Construction

Gray algebraic curve model-based roof separation prediction method for the warning of roof fall accidents

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