CN105741029B - A kind of danger of burst evaluation method based on cumulative stress coefficient of concentration - Google Patents
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- 238000011156 evaluation Methods 0.000 title claims abstract description 62
- 230000001186 cumulative effect Effects 0.000 title claims abstract description 51
- 239000003245 coal Substances 0.000 claims abstract description 76
- 239000011435 rock Substances 0.000 claims abstract description 35
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Abstract
A kind of danger of burst evaluation method based on cumulative stress coefficient of concentration, belongs to the subregion evaluation method of rock bursts in coal mines disaster possibility occurrence size.On the basis of measuring far from structure realm stress of primary rock vertical component, the principal element that systematic analysis technique region causes stress to be concentrated, evaluation region is subjected to gridding at a certain distance, vertical stress coefficient of concentration caused by each influence factor of each node is calculated separately, and is multiplied to the accumulation of each node stress coefficient of concentration obtains cumulative stress coefficient of concentration respectively.Same coal seam adjacent domain impulsion pressure visualization area cumulative stress coefficient of concentration is investigated and calculates, test obtains the uniaxial compressive strength of coal.Based on uniaxial compressive strength, shock point cumulative stress coefficient of concentration, danger of burst is divided into without dangerous, weak dangerous, moderate risk and strong dangerous four grades, and provides class boundaries.Interpolation is carried out to evaluation region cumulative stress coefficient of concentration using interpolation method, obtains region and the grade of evaluation region danger of burst.
Description
Technical field
The present invention relates to a kind of danger of burst evaluation method, especially one kind can suitable for the generation of rock bursts in coal mines disaster
The danger of burst evaluation method based on cumulative stress coefficient of concentration of energy property size.
Background technique
Impulsion pressure is a kind of typical mine power phenomenon, has great harmfulness.This dynamic phenomenon moment will
The great number of elastic deformation accumulated in coal and rock can be discharged in form sharply, fiercely, caused coal and rock to destroy and generated strong
Broken coal petrography is thrown to roadway digging space, issues the strong sound by vibration, power, causes equipment damage, roadway destruction and people
Member's injures and deaths etc..
As pit mining depth down, mining rate increase, mining distribution becomes complicated, stress item locating for digging country rock
Part runs down, and resulting impulsion pressure disaster sharply increases, enhances.The mine of overbump mine pressure, impact occurred in the past
Mine presses disaster more serious, the mine not occurred in the past, gradually starts generation impulsion pressure and shows.
Impulsion pressure diaster prevention and control is obtained by evaluation result and is adopted firstly the need of the evaluation of acceptance region shock hazard is carried out
The potential the rock burst fatalness area in region and danger classes are dug, to instruct the optimization of mining Design, specific aim formulates impulsion pressure
Prevention, monitoring and Treatment process measure.Therefore, accurately and effectively shock hazard evaluation result to impulsion pressure mine
Safety and high efficiency is of great significance.
Shock hazard evaluation at present is mainly carried out in the method for engineering analogy.Such method is chosen according to engineering experience
Several influence factors fixed carry out engineering analogy evaluations, and then danger of burst are classified, and have ignored between a large amount of engineerings
Variance factor and engineering specific condition, and certain variance factors or specific condition are also special to impact dangerous influence degree
Greatly, therefore, the accuracy of such method evaluation result and confidence level are to be improved.In face of the serious trend of impulsion pressure, having must
Explore and develop more efficiently danger of burst evaluation method.
Summary of the invention
Technical problem: the invention aims to overcome shortcoming in the prior art, a kind of coal mine impact mine is provided
The evaluation method of disaster possibility occurrence size is pressed, solution danger of burst evaluation influence factor is more, and each factor influence degree is unknown
Really, evaluation index is indefinite, is evaluated mainly by analogies of experience, the lower problem of evaluation result accuracy.
Technical solution: the danger of burst evaluation method of the invention based on cumulative stress coefficient of concentration includes the following steps:
(1) the rock burst fatalness area of needs assessment is subjected to grid dividing at a certain distance, determines each grid node Pi's
Coordinate (xi, yi)；
(2) according to determining each grid node PiCoordinate (xi, yi) assay region internal stress distribution influence because
Element determines the influence factor M for danger of burst evaluationj；
(3) the uniaxial compressive strength R of coal is measured by national standard GB/T 23561.7-2009C；
(4) analysis, which is searched, or test same coal seam is by construction is influenced smaller area stress of primary rock σ0；
(5) each grid node P is calculated using rock mechanics theory analysis or numerical simulation softwareiEach factor of evaluation M at placej
Caused factor of stress concentration kij；
(6) respectively to each grid node PiSeek cumulative stress coefficient of concentration Ki；
(7) the cumulative stress concentration that overbump mine intermediate pressure section has occurred for this coal seam adjacent domain is calculated by step (5), (6)
COEFFICIENT KiLimit stress coefficient of concentration K as evaluation danger of burstCIf overbump mine pressure does not occur for this mine coal seam, can join
It is not much different according to the uniaxial compressive strength of coal in 20% other mine limit stress coefficient of concentration KC；
(8) danger of burst grade is determined:
A grades dangerous (no danger):
B grades dangerous (weak danger):
C grades dangerous (moderate risk):
D grades are dangerous (strong dangerous):
(9) using interpolation method to evaluation region cumulative stress coefficient of concentration KiInterpolation is carried out, cumulative stress is obtained and concentrates system
Number KiCloud charts, obtain danger of burst Grading And Zoning cloud atlas by step (8) danger of burst class boundaries.
The spacing that the rock burst fatalness area carries out grid dividing at a certain distance is 10m-20m.
The assay region internal stress distribution influence factor include: mining depth, fault tectonic, fold tectonic,
Hard thick-layer top plate, protective coat extracted, adjacent coal seam leave coal column, close on goaf, section coal pillar, coal mass relief, coal seam point
Pitch assembly section, Coal Seam Thickness Change area, further include the geology that stress can be caused to concentrate and the aspect of production technique two influence because
Element.
The division limits of the danger of burst grade have comprehensively considered the uniaxial compressive strength R of coalC, stress of primary rock σ0, face
Boundary's stress concentration factor KC。
The cumulative stress coefficient of concentration KiCalculation method by formula:It is calculated.
The utility model has the advantages that the angle that the present invention is concentrated from stress, using the factor for causing stress to be concentrated as evaluation danger of burst
The reference factor of degree respectively obtains the factor of stress concentration of each influence factor, and evaluation region is carried out grid at a certain distance
Change and divide, calculates separately out the factor of stress concentration of each grid node of each influence factor, and answer respectively each factor of each node
The accumulation of power coefficient of concentration, which is multiplied, obtains cumulative stress coefficient of concentration.To this coal seam, adjacent domain impulsion pressure shows place, calculates
Cumulative stress coefficient of concentration out, and the uniaxial compressive strength of coal is obtained through laboratory test.Uniaxial compressive strength, punching based on coal
A cumulative stress coefficient of concentration is hit, danger of burst degree is divided into without dangerous, weak dangerous, moderate risk and strong danger four etc.
Grade, and provide the cumulative stress coefficient of concentration gradational boundary of danger of burst grade.Using interpolation method to evaluation region cumulative stress
Coefficient of concentration carries out interpolation, obtains cumulative stress coefficient of concentration cloud charts, in conjunction with aforementioned impact degree of danger graded index, obtains
The region of evaluation region danger of burst and grade out.Hazards of Rock Burst is divided into 4 danger according to cumulative stress coefficient of concentration
Dangerous grade respectively corresponds A grades dangerous (no danger), B grade dangerous (weak danger), C grades of danger (moderate risks) and D grades from low to high
Dangerous (strong dangerous), gradational boundary is respectively as follows:According to cumulative stress coefficient of concentration
It carries out drawing cumulative stress coefficient of concentration cloud charts using interpolation method, can determine danger of burst by danger of burst class boundaries
Grading And Zoning cloud atlas.
Influence for the influence factor that evaluation region concrete analysis stress is concentrated, by various influence factors to danger of burst
It evaluates, in unification to the stress condition based on impulsion pressure strength theory, and the uniaxial compressive strength based on coal, adjacent domain are rushed
It hits the cumulative stress factor of stress concentration that mine pressure shows and formulates danger of burst evaluation index, realize specific region concrete analysis,
Influence factor exhaustive, various influence factor influence degree indexs are unitized, quantification, and danger classes graded index is more directed to
Property.Due to carrying out interpolation using evaluation region gridding and to cumulative stress coefficient of concentration, so that evaluation result degree and zoning
More careful, more acurrate, gradational boundary is more clear, and impulsion pressure prevention and treatment has more specific aim.
The present invention specifically influences the factor of impulsion pressure by concrete analysis, screening and assessment region, is answered using quantitative
Power intensity, according to the specific stress lumped values or condition of similarity impulsion pressure limit stress lumped values that impulsion pressure has occurred
Danger of burst evaluation is carried out, compared with other engineering analog methods, more comprehensively, more specific aim, danger of burst grade are drawn for analysis
Divide and consider this coalbed coring, Assessment for classification result is more reliable, more acurrate；It is and existing in addition, evaluation region is carried out gridding
Method carries out general evaluation to evaluation region and compares, and evaluation result is more careful, and impact prevention has more specific aim.
Detailed description of the invention
Fig. 1 is the danger of burst evaluation method flow chart of cumulative stress coefficient of concentration；
Fig. 2 is example cumulative stress coefficient of concentration cloud charts；
Fig. 3 is the Grading And Zoning cloud atlas of example danger of burst evaluation.
Specific embodiment
The embodiment of the present invention is further described with reference to the accompanying drawing:
Danger of burst evaluation method based on cumulative stress coefficient of concentration of the invention, includes the following steps:
(1) the rock burst fatalness area of needs assessment is subjected to grid dividing at a certain distance, determines each grid node Pi's
Coordinate (xi, yi)；The spacing that the rock burst fatalness area carries out grid dividing at a certain distance is 10m-20m.
(2) according to determining each grid node PiCoordinate (xi, yi) assay region internal stress distribution influence because
Element determines the influence factor M for danger of burst evaluationj；The assay region internal stress distribution influence factor include:
Mining depth, fault tectonic, fold tectonic, hard thick-layer top plate, protective coat extracted, adjacent coal seam leave coal column, close on it is mined out
Area, section coal pillar, coal mass relief, bifurcation of coal seam assembly section, Coal Seam Thickness Change area further include that other stress can be caused to concentrate
The influence factor of two aspects of geology and production technique.The production technique includes: aforementioned mining depth, fault tectonic, fold
Construction, hard thick-layer top plate, bifurcation of coal seam assembly section, Coal Seam Thickness Change area are geological factors affecting, protective coat extracted, neighbouring
It is production technique factor that coal seam, which leaves coal column, closes on goaf, section coal pillar, coal mass relief etc., these listed factors are conventional
Under the conditions of the geology and technical factor of the influence stress distribution that encounter, for particular job face can be potentially encountered it is rare it is some before
Face is unlisted but may cause the factor of stress concentration, such as: Igneous rock invasion, karst collapse col umn, more tunnels intersect, due to coal mine item
Part complex makes a concrete analysis of specific works face.
(3) the uniaxial compressive strength R of coal is measured by national standard GB/T 23561.7-2009C；
(4) analysis, which is searched, or test same coal seam is by construction is influenced smaller area stress of primary rock σ0；
(5) each grid node P is calculated using rock mechanics theory analysis or numerical simulation softwareiEach factor of evaluation M at placej
Caused factor of stress concentration kij；
(6) respectively to each grid node PiSeek cumulative stress coefficient of concentration Ki；
(7) the cumulative stress concentration that overbump mine intermediate pressure section has occurred for this coal seam adjacent domain is calculated by step (5), (6)
COEFFICIENT KiLimit stress coefficient of concentration K as evaluation danger of burstCIf overbump mine pressure does not occur for this mine coal seam, can join
It is not much different according to the uniaxial compressive strength of coal in 20% other mine limit stress coefficient of concentration KC；
(8) danger of burst grade is determined:
A grades dangerous (no danger):
B grades dangerous (weak danger):
C grades dangerous (moderate risk):
D grades are dangerous (strong dangerous):
The division limits of the danger of burst grade have comprehensively considered the uniaxial compressive strength R of coalC, stress of primary rock σ0, face
Boundary's stress concentration factor KC。
The cumulative stress coefficient of concentration KiCalculation method by formula:It is calculated.
(9) using interpolation method to evaluation region cumulative stress coefficient of concentration KiInterpolation is carried out, cumulative stress is obtained and concentrates system
Number KiCloud charts, by step (8) danger of burst class boundaries you can get it danger of burst Grading And Zoning cloud atlas.
Danger of burst evaluation method based on cumulative stress coefficient of concentration of the invention, basic principle is impulsion pressure
Strength theory.Impulsion pressure strength theory point out impulsion pressure be coal and rock bear stress be more than that coal and rock is impacted
The dynamic disaster phenomenon occurred when the strength degree of mine pressure.It therefore, can be from two sides of coal petrography body stress and impulsion pressure intensity
A possibility that occurring in face of impulsion pressure is evaluated.By carrying out gridding to evaluation region, each grid node is commented
Valence go forward side by side row interpolation processing, can be obtained entire evaluation region danger of burst distribution.This method can intuitively show danger of burst
Region and grade provide guidance for impulsion pressure prevention and treatment.
The determination method of stress state illustrates: since underground mining is affected by numerous factors, directly obtaining coal petrography
Accurate stress distribution is extremely difficult.The method that the present invention uses sequential analysis analyzes mining depth, tomography structure respectively
It makes, fold tectonic, hard thick-layer top plate, protective coat extracted, adjacent coal seam leave coal column, close on goaf, section coal pillar, coal body
Release, bifurcation of coal seam assembly section, Coal Seam Thickness Change area and other each factors of factor for causing stress to be concentrated cause respectively
The factor of stress concentration, then each factor of stress concentration is multiplied to obtain cumulative stress coefficient of concentration.In the single factor of determination
The factor of stress concentration when, a variety of methods such as actual measurement, theory analysis, numerical simulation can be used and carry out.This method is simplified, by
A determination has the characteristics that clear logic, strong operability, method are simple.
Impulsion pressure strength degree occurs and determines that method illustrates: coal rock strength is simultaneously not equal to the intensity that impulsion pressure occurs
The limit.Coal rock strength refers generally to the uniaxial compressive strength of coal and rock test.Since impulsion pressure and impact show place coal petrography
Body structure, supporting condition etc. are related, and the strength degree that impulsion pressure occurs is generally higher very than testing obtained uniaxial compressive strength
It is more.Therefore, the strength degree for impulsion pressure occurring in order to obtain (can use limit stress coefficient of concentration KCIndicate), the present invention uses
Analogy method shows the cumulative stress coefficient of concentration in place, or uniaxial compressive referring to coal using critical zone impulsion pressure
Intensity is not much different in 20% other mine limit stress coefficient of concentration.The process employs facing for real impact mine pressure life
Boundary's factor of stress concentration has reacted the comprehensive function of various factors as a result, therefore accuracy with higher.
The factor of stress concentration lower limit of danger of burst determines the explanation of method:
Impulsion pressure, which shows, must destroy coal and rock, therefore it is the prerequisite that impulsion pressure occurs that coal and rock, which is destroyed,.
Therefore, the present invention, which concentrates the uniaxial compressive strength of coal and rock and the ratio of the stress of primary rock as stress existing for danger of burst, is
Number lower limit.
The explanation of danger of burst rank division method:
Referring to the evaluation of current danger of burst by danger of burst grade classification for without dangerous, weak danger, moderate risk, strong danger
Four grades, the present invention by danger of burst factor of stress concentration lower limit to limit stress coefficient of concentration trisection, i.e., according to Weak dangerous, moderate risk and strong danger are determined for boundary.
Grid spacing determines the explanation of method:
It is 10m~20m that gridding, which divides spacing referring to the general spacing of mine danger of burst drilling cuttings method monitoring drilling arrangement,
It is 10m or 20m that grid dividing spacing, which may be selected, it is not recommended that grid dividing spacing is greater than 30m.
Embodiment 1,
Certain 3 exploiting field of mine once occurred overbump mine pressure and showed.3308 working face of exploiting field has potential impact dangerous.To this
Working face determines the rock burst fatalness area and grade process such as Fig. 1 using the danger of burst evaluation method of cumulative stress coefficient of concentration,
Implementation steps are as follows:
(1) according to the exploiting field drilling cuttings method spacing of wells, which is subjected to grid dividing by 10m spacing, is determined each
Grid node PiCoordinate (xi, xi)。
(2) various factors that stress distribution is influenced in 3308 working faces of analysis, determines for the specific of danger of burst evaluation
Factor Mj.According to analysis, the principal element for influencing 3308 working face danger of burst includes: section coal pillar, F1 tomography, to oblique structure
It makes.
(3) the uniaxial compressive strength R of experimental determination coalCFor 20.6MPa.
(4) according to detecting earth stress, 3 exploiting field stress of primary rock vertical component σ0For 14.3MPa.
(5) theory analysis or numerical value calculate each grid node PiLocate each factor of evaluation MjCaused factor of stress concentration kij。
(6) respectively to each grid node PiSeek cumulative stress coefficient of concentration Ki。
(7) it is 82.9MPa that 3 exploiting field this Coal Seam mines pressure scene cumulative stress, which is calculated, so that it is determined that impact
Limit stress coefficient of concentration KCIt is 5.8.
(8) danger of burst grade is determined:
A grades are dangerous:That is Ki< 1.44
B grades are dangerous:That is 1.44≤Ki< 2.89
C grades are dangerous:That is 2.89≤Ki< 4.35
D grades are dangerous:That is Ki> 4.35.
(9) interpolation is carried out to evaluation region cumulative stress coefficient of concentration using interpolation method, obtains cumulative stress coefficient of concentration
Cloud charts, as shown in Figure 2.
(10) the grade classification boundary determined according to (8), obtains 3308 working face the rock burst fatalness area and grade classification knot
Fruit is as shown in Figure 3.
Claims (5)
1. a kind of danger of burst evaluation method based on cumulative stress coefficient of concentration, characterized by the following steps:
(1) the rock burst fatalness area of needs assessment is subjected to grid dividing at a certain distance, determines each grid node PiCoordinate
(xi, yi)；
(2) according to determining each grid node PiCoordinate (xi, yi) assay region internal stress distribution influence factor, really
Surely the influence factor M for danger of burst evaluationj；
(3) the uniaxial compressive strength R of coal is measured by national standard GB/T 23561.7-2009C；
(4) analysis, which is searched, or test same coal seam is by construction is influenced smaller area stress of primary rock σ0；
(5) each grid node P is calculated using rock mechanics theory analysis or numerical simulation softwareiEach influence factor M at placejCause
Factor of stress concentration kij；
(6) respectively to each grid node PiSeek cumulative stress coefficient of concentration Ki；
(7) the cumulative stress coefficient of concentration that overbump mine intermediate pressure section has occurred for this coal seam adjacent domain is calculated by step (5), (6)
Limit stress coefficient of concentration K as evaluation danger of burstCIf overbump mine pressure does not occur for this mine coal seam, referring to coal
Uniaxial compressive strength is not much different in 20% other mine limit stress coefficient of concentration KC；
(8) danger of burst grade is determined:
A grades are dangerous, i.e., without danger:
B grades are dangerous, i.e., weak danger:
C grades are dangerous, i.e. moderate risk:
D grades are dangerous, i.e., strong dangerous:
(9) using interpolation method to evaluation region cumulative stress coefficient of concentration KiInterpolation is carried out, cumulative stress coefficient of concentration K is obtainedi's
Cloud charts obtain danger of burst Grading And Zoning cloud atlas by step (8) danger of burst class boundaries.
2. the danger of burst evaluation method according to claim 1 based on cumulative stress coefficient of concentration, it is characterised in that: institute
Stating the rock burst fatalness area and carrying out the spacing of grid dividing at a certain distance is 10m-20m.
3. the danger of burst evaluation method according to claim 1 based on cumulative stress coefficient of concentration, it is characterised in that: institute
The influence factor for stating the distribution of evaluation region internal stress includes: mining depth, fault tectonic, fold tectonic, hard thick-layer top plate, protects
Sheath exploitation, adjacent coal seam leave coal column, close on goaf, section coal pillar, coal mass relief, bifurcation of coal seam assembly section and coal seam thickness
Spend variation zone.
4. the danger of burst evaluation method according to claim 1 based on cumulative stress coefficient of concentration, it is characterised in that: institute
The division limits for the danger of burst grade stated have comprehensively considered the uniaxial compressive strength R of coalC, stress of primary rock σ0, limit stress concentrate
COEFFICIENT KC。
5. the danger of burst evaluation method according to claim 1 based on cumulative stress coefficient of concentration, it is characterised in that: institute
State cumulative stress coefficient of concentration KiCalculation method by formula:It is calculated.
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| CN106934178B (en) * | 2017-04-07 | 2020-03-24 | 中国矿业大学 | Pre-mining impact risk pre-evaluation method for island working surface |
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| CN110513099B (en) * | 2019-08-20 | 2021-10-08 | 北京科技大学 | Multi-parameter advanced material resource disaster real-time prediction system and method |
| CN111047216B (en) * | 2019-12-27 | 2023-04-07 | 辽宁工程技术大学 | Coal mine rock burst hazard evaluation method based on critical stress index method |
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| CN112446592A (en) * | 2020-11-11 | 2021-03-05 | 核工业北京地质研究院 | Rock burst risk grade evaluation method based on equivalent mining depth estimation |
| CN113339073B (en) * | 2021-07-06 | 2022-06-24 | 中国矿业大学 | Impact risk evaluation method based on roof rock stratum structure |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103244179A (en) * | 2013-04-28 | 2013-08-14 | 中国矿业大学 | Evaluation method for predicting coal mine underground impact mine pressure danger |
| CN103256073A (en) * | 2013-04-28 | 2013-08-21 | 中国矿业大学 | Underground coal mine impact mine pressure partition grading prediction method |
| CN104239691A (en) * | 2014-08-21 | 2014-12-24 | 徐州矿务集团有限公司 | Actual-measurement comprehensive evaluation method for impact risk |
-
2016
- 2016-01-28 CN CN201610058892.XA patent/CN105741029B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103244179A (en) * | 2013-04-28 | 2013-08-14 | 中国矿业大学 | Evaluation method for predicting coal mine underground impact mine pressure danger |
| CN103256073A (en) * | 2013-04-28 | 2013-08-21 | 中国矿业大学 | Underground coal mine impact mine pressure partition grading prediction method |
| CN104239691A (en) * | 2014-08-21 | 2014-12-24 | 徐州矿务集团有限公司 | Actual-measurement comprehensive evaluation method for impact risk |
Non-Patent Citations (2)
| Title |
|---|
| 冲击危险评价的相对应力集中系数叠加法;窦林名 等;《煤炭学报》;20180228;第43卷(第2期);第327-332页 * |
| 基于应力叠加回采工作面冲击危险性评价;姜福兴 等;《岩石力学与工程学报》;20151231;第34卷(第12期);第2428-2435页 * |
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