Dense roadway group rock burst hazard prediction method

A technology of rock burst and prediction method, which is applied in earth square drilling, mining equipment, mining equipment, etc., and can solve problems such as little effect

Inactive Publication Date: 2012-03-28
SHANDONG UNIV OF SCI & TECH
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Problems solved by technology

[0007] Although the prediction of rock burst has made great progress in theory and technology, due to the complexity of the causes and conditions of rock burst, the randomness and suddenness of rock burst, the diversity of damage forms, and the The level of development and the limitations of people's understanding and practice make it often difficult to achieve a single method

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  • Dense roadway group rock burst hazard prediction method
  • Dense roadway group rock burst hazard prediction method
  • Dense roadway group rock burst hazard prediction method

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Embodiment Construction

[0027] refer to figure 1 The area diagram of a dense roadway group in a certain coal mine is shown to further illustrate the prediction method of the present invention.

[0028] Step 1: Get Sensitive Areas

[0029] Before the mining of a certain working face, the preliminary delineation of the rock burst dangerous area is carried out first. In the area involved in the mining of the rock burst dangerous coal seam, especially the dense roadway group area, the characteristics of the rock burst in the adjacent stope are shown by analogy. At the same time, the drilling cuttings method is used to monitor on-site detection, and the high-stress areas of relatively dense roadway groups are divided;

[0030] Install high-sensitivity strain gauges in high-stress areas, and then carry out artificial blasting vibrations in relatively safe areas, and obtain dynamic sensitive areas of coal seams by testing blasting vibration stress waves. figure 1 The I and II areas in are dynamic sensitiv...

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Abstract

The invention discloses a dense roadway group rock burst hazard prediction method. The method includes the following steps: first acquiring the dynamic sensitive area of a coal bed in a dense roadway group area; then mounting roof dynamics monitors along a direction leading to a dense roadway group to carry out roof dynamics observation; before a dynamic area stress range related to coal mining gets close to the dense roadway group, mounting highly sensitive stressmeters in the sensitive area to observe stress change, and when the stress increment is abruptly changed, carrying out rock burst hazard monitoring. By means of an artificial blasting technique in the dense roadway group, the method acquires the coal-rock stratum disturbance-sensitive area, finding a vulnerable area; the roof dynamics method is adopted to acquire the tendency characteristics and range of dynamic stress and quantitatively describe the distribution rule of the dynamic stress; delicate physical quantity observation timely judges the early disturbance response of the dense roadway group, rock burst hazard process monitoring is carried out before high energy is released, and the hazard level is judged by means of indexes.

Description

technical field [0001] The invention belongs to the technical field of coal mining. Background technique [0002] The scientific prediction of rock burst is the key to the prevention and control of rock burst. Research in this area has made some progress in recent years. The current monitoring technology mainly includes the following aspects. [0003] Drilling cuttings method: The distribution characteristics of the bearing pressure, that is, the peak value of the bearing pressure and its distance from the coal wall, are generally detected by the drilling cuttings method. Drilling cuttings method is a method to identify the risk of impact by drilling a hole with a diameter of 42-50mm in the coal seam, according to the amount of coal powder discharged and its changing law and related dynamic effects. [0004] Acoustic emission (ground sound) and microseismic monitoring: The ground sound and microseismic monitoring method is a method of rockburst prediction and prediction d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): E21F17/00
Inventor 潘立友
Owner SHANDONG UNIV OF SCI & TECH
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