CN105741029A - Cumulative stress concentration factor based impact risk assessment method - Google Patents
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- 238000000034 method Methods 0.000 title claims abstract description 53
- 230000001186 cumulative effect Effects 0.000 title claims abstract description 52
- 238000012502 risk assessment Methods 0.000 title abstract 3
- 239000003245 coal Substances 0.000 claims abstract description 75
- 239000011435 rock Substances 0.000 claims abstract description 37
- 238000004458 analytical method Methods 0.000 claims abstract description 11
- 238000012360 testing method Methods 0.000 claims abstract description 7
- 238000011156 evaluation Methods 0.000 claims description 49
- 238000009826 distribution Methods 0.000 claims description 11
- 238000005065 mining Methods 0.000 claims description 10
- 238000003556 assay Methods 0.000 claims description 6
- 238000013316 zoning Methods 0.000 claims description 6
- 239000012141 concentrate Substances 0.000 claims description 5
- 238000004519 manufacturing process Methods 0.000 claims description 5
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- 238000005259 measurement Methods 0.000 abstract description 2
- 238000010276 construction Methods 0.000 abstract 1
- 238000011065 in-situ storage Methods 0.000 abstract 1
- 230000035939 shock Effects 0.000 description 4
- 238000005520 cutting process Methods 0.000 description 2
- 238000005553 drilling Methods 0.000 description 2
- 230000003116 impacting effect Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000002265 prevention Effects 0.000 description 2
- 208000033999 Device damage Diseases 0.000 description 1
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- 230000006378 damage Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000005489 elastic deformation Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 230000009545 invasion Effects 0.000 description 1
- 238000009533 lab test Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
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- 238000012882 sequential analysis Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
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Abstract
The present invention discloses a cumulative stress concentration factor based impact risk assessment method, and belongs to a sub-regional assessment method for the possibility size of coal impact mine pressure disaster occurrence. The cumulative stress concentration factor based impact risk assessment method comprises: based on measurement of an in-situ rock stress vertical component away from a construction region, carrying out comprehensive analysis on main factors causing stress concentration in an assessment region, carrying out meshing on the assessment region according to a certain distance, separately calculating a vertical stress concentration factor caused by each influential factor on each node, and obtaining a cumulative stress concentration factor by cumulatively multiplying the stress concentration factor on each node; investigating and calculating the cumulative stress concentration factor of an impact pressure active region in an adjacent region of the same coal layer, and obtaining coal uniaxial compressive strength after test; based on the coal uniaxial compressive strength and the cumulative stress concentration factor of an impact point, dividing impact risks into four levels of no risk, a low risk, a medium risk and a high risk, and giving out a level threshold; and using an interpolant method to carry out interpolation on the cumulative stress concentration factor in the assessment region, so as to obtain regions and levels of impact risks in the assessment region.
Description
Technical field
The present invention relates to a kind of danger of burst evaluation methodology, particularly a kind of danger of burst evaluation methodology based on cumulative stress coefficient of concentration suitable in rock bursts in coal mines disaster possibility occurrence size.
Background technology
Impulsion pressure is a kind of typical mine power phenomenon, has great hazardness.This dynamic phenomenon moment by the great number of elastic deformation energy that accumulates in coal and rock with sharply, fierce form release, cause coal and rock to destroy and produce sharp pounding, broken coal petrography is thrown to roadway digging space by power, send the strong sound, cause device damage, roadway destruction and casualties etc..
Along with pit mining depth down, mining rate strengthens, mining distribution becomes complicated, and stress condition residing for digging country rock runs down, and consequent impulsion pressure disaster sharply increases, strengthens.The mine of overbump ore deposit pressure occurred in the past, and impulsion pressure disaster is more serious, and the mine not occurred in the past starts to produce impulsion pressure gradually and manifests.
Impulsion pressure diaster prevention and control is firstly the need of carrying out acceptance region shock hazard evaluation, the potential the rock burst fatalness area of acceptance region and danger classes is drawn by evaluation result, thus instructing the optimization of mining Design, specific aim formulates the prevention of impulsion pressure, monitoring and Treatment process measure.Therefore, shock hazard evaluation result is significant to the safety and high efficiency of impulsion pressure mine accurately and effectively.
Current shock hazard evaluation mainly carries out with the method for engineering analogy.This type of method is according to engineering experience, choose several fixing influence factors and carry out engineering analogy evaluation, and then danger of burst is carried out classification, have ignored the specific condition of the variance factor between a large amount of engineering and engineering, and some variance factor or specific condition are also big especially to impacting dangerous influence degree, therefore, the accuracy of this type of method evaluation result and credibility have much room for improvement.Serious trend in the face of impulsion pressure, it is necessary to explore and develop more efficiently danger of burst evaluation methodology.
Summary of the invention
Technical problem: the invention aims to overcome weak point of the prior art, the evaluation methodology of a kind of rock bursts in coal mines disaster possibility occurrence size is provided, solve danger of burst evaluation influence factor many, each factor influence degree is indefinite, evaluation index is indefinite, it is evaluated mainly by analogies of experience, the problem that evaluation result accuracy is relatively low.
Technical scheme: the danger of burst evaluation methodology based on cumulative stress coefficient of concentration of the present invention, comprises the steps:
(1) the rock burst fatalness area of needs assessment is carried out at a certain distance stress and strain model, it is determined that each grid node PiCoordinate (xi, yi)；
(2) according to each grid node P determinediCoordinate (xi, yi) assay region internal stress distribution influence factor, it is determined that for danger of burst evaluate influence factor Mj；
(3) the uniaxial compressive strength R of coal is measured by GB GB/T23561.7 2009C；
(4) analyze lookup or test same coal seam is affected smaller area stress of primary rock σ by structure0；
(5) rock mechanics theory analysis or numerical simulation software is adopted to calculate each grid node PiEach factor of evaluation M at placejThe factor of stress concentration k causedij；
(6) respectively to each grid node PiSeek cumulative stress coefficient of concentration Ki；
(7) calculate this coal seam adjacent domain by step (5), (6) and the cumulative stress coefficient of concentration K of overbump ore deposit intermediate pressure section has occurrediAs the limit stress coefficient of concentration K evaluating danger of burstCIf this coal seam of this mine does not occur overbump ore deposit to press, can refer to the uniaxial compressive strength of coal and be more or less the same in other mines limit stress coefficient of concentration K of 20%C；
(8) danger of burst grade is determined:
A level dangerous (without dangerous):
B level dangerous (weak danger):
C level dangerous (moderate risk):
D level dangerous (dangerous by force):
(9) adopt interpolation method to evaluation region cumulative stress coefficient of concentration KiIt is interpolated, obtains cumulative stress coefficient of concentration KiCloud charts, draw danger of burst Grading And Zoning cloud atlas by step (8) danger of burst class boundaries.
It is 10m-20m that described the rock burst fatalness area carries out the spacing of stress and strain model at a certain distance.
The influence factor of described assay region internal stress distribution includes: mining depth, fault tectonic, fold tectonic, hard thick-layer top board, protective coat extracted, adjacent coal seam are left over coal column, are closed on goaf, section coal pillar, coal mass relief, bifurcation of coal seam assembly section, Coal Seam Thickness Change district, also include the influence factor of geology and two aspects of production technique that stress can be caused to concentrate.
The division limits of described danger of burst grade has considered the uniaxial compressive strength R of coalC, stress of primary rock σ0, limit stress coefficient of concentration KC。
Described cumulative stress coefficient of concentration KiComputational methods by formula:Calculate.
Beneficial effect: the angle that the present invention concentrates from stress, using the factor that causes stress to concentrate as the reference factor evaluating danger of burst degree, respectively obtain the factor of stress concentration of each influence factor, evaluation region is carried out at a certain distance gridding division, calculate the factor of stress concentration of each grid node of each influence factor respectively, and each factor factor of stress concentration accumulation of each node is multiplied obtains cumulative stress coefficient of concentration respectively.This coal seam adjacent domain impulsion pressure is manifested place, calculates cumulative stress coefficient of concentration, and obtain the uniaxial compressive strength of coal through laboratory test.Based on the uniaxial compressive strength of coal, shock point cumulative stress coefficient of concentration, danger of burst degree is divided into without danger dangerous, weak, moderate risk and strong dangerous four grades, and provides the cumulative stress coefficient of concentration gradational boundary of danger of burst grade.Adopt interpolation method that evaluation region cumulative stress coefficient of concentration is interpolated, obtain cumulative stress coefficient of concentration cloud charts, in conjunction with aforementioned impact degree of danger graded index, draw region and the grade of evaluation region danger of burst.Hazards of Rock Burst is divided into 4 danger classes according to cumulative stress coefficient of concentration, distinguishing corresponding A level dangerous (without dangerous), B level dangerous (weak danger), C level dangerous (moderate risk) and D level dangerous (dangerous by force) from low to high, gradational boundary is respectively as follows:Adopt interpolation method to carry out drawing cumulative stress coefficient of concentration cloud charts according to cumulative stress coefficient of concentration, namely can determine that danger of burst Grading And Zoning cloud atlas by danger of burst class boundaries.
The influence factor that stress is concentrated is made a concrete analysis of for evaluation region, danger of burst is affected evaluation by various influence factors, unified to the stress condition based on impulsion pressure strength theory, and based on the cumulative stress factor of stress concentration formulation danger of burst evaluation index that the uniaxial compressive strength of coal, adjacent domain impulsion pressure manifest, achieve the concrete analysis of concrete region, influence factor's exhaustive, various influence factor's influence degree indexs are unitized, quantification, danger classes graded index more specific aim.Owing to adopting evaluation region gridding and cumulative stress coefficient of concentration be interpolated so that evaluation result degree and zoning is more careful, more accurate, and gradational boundary is clearer and more definite, and impulsion pressure prevents and treats more specific aim.
The present invention factor affecting impulsion pressure by making a concrete analysis of, screening and assessment region is concrete, adopt quantitative stress concentration degree, concrete stress lumped values or condition of similarity impulsion pressure limit stress lumped values according to there is impulsion pressure carry out danger of burst evaluation, compared with other engineering analog method, analyze more comprehensively, more specific aim, danger of burst grade classification considers this coalbed coring, and Assessment for classification result is more reliable, more accurate；It addition, evaluation region is carried out gridding, with existing method evaluation region being carried out compared with general evaluation, evaluation result is more careful, impacts and takes precautions against more specific aim.
Accompanying drawing explanation
Fig. 1 is the danger of burst evaluation methodology 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 that example danger of burst is evaluated.
Detailed description of the invention
Below in conjunction with accompanying drawing, embodiments of the invention are further described:
The danger of burst evaluation methodology based on cumulative stress coefficient of concentration of the present invention, comprises the steps:
(1) the rock burst fatalness area of needs assessment is carried out at a certain distance stress and strain model, it is determined that each grid node PiCoordinate (xi, yi)；It is 10m-20m that described the rock burst fatalness area carries out the spacing of stress and strain model at a certain distance.
(2) according to each grid node P determinediCoordinate (xi, yi) assay region internal stress distribution influence factor, it is determined that for danger of burst evaluate influence factor Mj；The influence factor of described assay region internal stress distribution includes: mining depth, fault tectonic, fold tectonic, hard thick-layer top board, protective coat extracted, adjacent coal seam are left over coal column, are closed on goaf, section coal pillar, coal mass relief, bifurcation of coal seam assembly section, Coal Seam Thickness Change district, also include the influence factor of other geology that stress can be caused to concentrate and two aspects of production technique.Described production technique includes: aforementioned mining depth, fault tectonic, fold tectonic, hard thick-layer top board, bifurcation of coal seam assembly section, Coal Seam Thickness Change district is geological factors affecting, protective coat extracted, adjacent coal seam leaves over coal column, close on goaf, section coal pillar, coal mass relief etc. are production technique factor, factor listed by these is the geology affecting stress distribution and technical factor that run under normal condition, can be potentially encountered unlisted before rare some for particular job face but may result in the factor that stress is concentrated, as: Igneous rock invasion, karst collapse col umn, many tunnels intersection etc., due to colliery condition complex, specific works face is needed to make a concrete analysis of.
(3) the uniaxial compressive strength R of coal is measured by GB GB/T23561.7 2009C；
(4) analyze lookup or test same coal seam is affected smaller area stress of primary rock σ by structure0；
(5) rock mechanics theory analysis or numerical simulation software is adopted to calculate each grid node PiEach factor of evaluation M at placejThe factor of stress concentration k causedij；
(6) respectively to each grid node PiSeek cumulative stress coefficient of concentration Ki；
(7) calculate this coal seam adjacent domain by step (5), (6) and the cumulative stress coefficient of concentration K of overbump ore deposit intermediate pressure section has occurrediAs the limit stress coefficient of concentration K evaluating danger of burstCIf this coal seam of this mine does not occur overbump ore deposit to press, can refer to the uniaxial compressive strength of coal and be more or less the same in other mines limit stress coefficient of concentration K of 20%C；
(8) danger of burst grade is determined:
A level dangerous (without dangerous):
B level dangerous (weak danger):
C level dangerous (moderate risk):
D level dangerous (dangerous by force):
The division limits of described danger of burst grade has considered the uniaxial compressive strength R of coalC, stress of primary rock σ0, limit stress coefficient of concentration KC。
Described cumulative stress coefficient of concentration KiComputational methods by formula:Calculate.
(9) adopt interpolation method to evaluation region cumulative stress coefficient of concentration KiIt is interpolated, obtains cumulative stress coefficient of concentration KiCloud charts, danger of burst Grading And Zoning cloud atlas can be drawn by step (8) danger of burst class boundaries.
The danger of burst evaluation methodology based on cumulative stress coefficient of concentration of the present invention, ultimate principle is the strength theory that impulsion pressure occurs.Impulsion pressure strength theory point out impulsion pressure be the stress that coal and rock is born exceeded coal and rock generation impulsion pressure strength degree time occur dynamic disaster phenomenon.Therefore, it can from coal and rock stress and two aspects of impulsion pressure intensity, the probability impacting ore deposit Hair Fixer raw is evaluated.By evaluation region is carried out gridding, each grid node is evaluated and is interpolated process, the danger of burst distribution of whole evaluation region can be obtained.The method can show the rock burst fatalness area and grade intuitively, provides for impulsion pressure preventing and treating and instructs.
The defining method of stress state illustrates: owing to underground mining is affected by numerous factors, will directly obtain coal petrography stress distribution accurately extremely difficult.The present invention adopts the method for sequential analysis; analyze mining depth respectively, fault tectonic, fold tectonic, hard thick-layer top board, protective coat extracted, adjacent coal seam leave over coal column, close on goaf, section coal pillar, coal mass relief, bifurcation of coal seam assembly section, Coal Seam Thickness Change district; and other cause the factor of stress concentration that each factor of factor that stress is concentrated causes respectively, being then multiplied by each factor of stress concentration obtains cumulative stress coefficient of concentration.When determining the factor of stress concentration of single factor, the multiple methods such as actual measurement, theory analysis, numerical simulation can be adopted to carry out.The method is simplified, and determines one by one, has clear logic, strong operability, the simple feature of method.
Impulsion pressure strength degree defining method is occurred to illustrate: coal rock strength is also not equal to the strength degree that impulsion pressure occurs.Coal rock strength refers generally to the uniaxial compressive strength of coal and rock test.Due to impulsion pressure and impact, to manifest place Coal-body Structure, supporting condition etc. relevant, and the strength degree that impulsion pressure occurs is generally high much than the uniaxial compressive strength that test obtains.Therefore, in order to obtain occurring strength degree (the available limit stress coefficient of concentration K of impulsion pressureCRepresent), present invention employs analogy method, namely adopt critical region impulsion pressure to manifest the cumulative stress coefficient of concentration in place, or the uniaxial compressive strength with reference to coal is more or less the same in other mine limit stress coefficient of concentration of 20%.The process employs the limit stress coefficient of concentration that real impact ore deposit Hair Fixer is raw, reacted the comprehensive function result of various factors, therefore there is higher accuracy.
The explanation of the factor of stress concentration lower limit defining method of danger of burst:
Impulsion pressure manifests must destroy coal and rock, and therefore coal and rock destroys the prerequisite being impulsion pressure occurs.Therefore, the factor of stress concentration lower limit that the ratio of the uniaxial compressive strength of coal and rock Yu the stress of primary rock is existed by the present invention as danger of burst.
The explanation of danger of burst rank division method:
Be without danger dangerous, weak, moderate risk, strong dangerous four grades with reference to current danger of burst evaluation by danger of burst grade classification, the present invention by danger of burst factor of stress concentration lower limit to limit stress coefficient of concentration trisection, namely according to Weak danger, moderate risk and danger by force is determined for boundary.
The explanation of mesh spacing defining method:
The general spacing that gridding division spacing is arranged with reference to the monitoring boring of mine danger of burst drilling cuttings method is 10m～20m, and optional stress and strain model spacing is 10m or 20m, it is not recommended that stress and strain model spacing is more than 30m.
Embodiment 1,
Certain exploiting field, ore deposit 3 once occurred overbump ore deposit pressure to manifest.This exploiting field 3308 work surface has potential impact danger.Adopt the danger of burst evaluation methodology of cumulative stress coefficient of concentration to determine the rock burst fatalness area and grade flow process such as Fig. 1 this work surface, implement step as follows:
(1) according to this exploiting field drilling cuttings method spacing of wells, this evaluation region is carried out stress and strain model by 10m spacing, it is determined that each grid node PiCoordinate (xi, xi)。
(2) various factors affecting stress distribution in 3308 work surfaces is analyzed, it is determined that for the material elements M that danger of burst is evaluatedj.According to analysis, the principal element affecting 3308 work surface danger of burst includes: section coal pillar, F1 tomography, synclinal structure.
(3) the uniaxial compressive strength R of experimental determination coalCFor 20.6MPa.
(4) base area stress test, 3 exploiting field stress of primary rock vertical component σ0For 14.3MPa.
(5) theory analysis or each grid node P of numerical computationsiLocate each factor of evaluation MjThe factor of stress concentration k causedij。
(6) respectively to each grid node PiSeek cumulative stress coefficient of concentration Ki。
(7) calculating obtains 3 this Coal Seam ore deposits, exploiting field pressure scene cumulative stresses is 82.9MPa, so that it is determined that impact limit stress coefficient of concentration KCIt is 5.8.
(8) danger of burst grade is determined:
A level is dangerous:I.e. Ki< 1.44
B level is dangerous: I.e. 1.44≤Ki< 2.89
C level is dangerous: I.e. 2.89≤Ki< 4.35
D level is dangerous: I.e. Ki> 4.35.
(9) adopt interpolation method that evaluation region cumulative stress coefficient of concentration is interpolated, obtain cumulative stress coefficient of concentration cloud charts, as shown in Figure 2.
(10) the grade classification boundary determined according to (8), obtains 3308 work surface the rock burst fatalness area and grade classification result as shown in Figure 3.
Claims (5)
1. the danger of burst evaluation methodology based on cumulative stress coefficient of concentration, it is characterised in that: comprise the steps:
(1) the rock burst fatalness area of needs assessment is carried out at a certain distance stress and strain model, it is determined that each grid node PiCoordinate (xi, yi)；
(2) according to each grid node P determinediCoordinate (xi, yi) assay region internal stress distribution influence factor, it is determined that for danger of burst evaluate influence factor Mj；
(3) the uniaxial compressive strength R of coal is measured by GB GB/T23561.7 2009C；
(4) analyze lookup or test same coal seam is affected smaller area stress of primary rock σ by structure0；
(5) rock mechanics theory analysis or numerical simulation software is adopted to calculate each grid node PiEach factor of evaluation M at placejThe factor of stress concentration k causedij；
(6) respectively to each grid node PiSeek cumulative stress coefficient of concentration Ki；
(7) calculate this coal seam adjacent domain by step (5), (6) and the cumulative stress coefficient of concentration K of overbump ore deposit intermediate pressure section has occurrediAs the limit stress coefficient of concentration K evaluating danger of burstCIf this coal seam of this mine does not occur overbump ore deposit to press, can refer to the uniaxial compressive strength of coal and be more or less the same in other mines limit stress coefficient of concentration K of 20%C；
(8) danger of burst grade is determined:
A level dangerous (without dangerous):
B level dangerous (weak danger):
C level dangerous (moderate risk):
D level dangerous (dangerous by force):
(9) adopt interpolation method to evaluation region cumulative stress coefficient of concentration KiIt is interpolated, obtains cumulative stress coefficient of concentration KiCloud charts, draw danger of burst Grading And Zoning cloud atlas by step (8) danger of burst class boundaries.
2. the danger of burst evaluation methodology based on cumulative stress coefficient of concentration according to claim 1, it is characterised in that: it is 10m-20m that described the rock burst fatalness area carries out the spacing of stress and strain model at a certain distance.
3. the danger of burst evaluation methodology based on cumulative stress coefficient of concentration according to claim 1; it is characterized in that: the influence factor of described assay region internal stress distribution includes: mining depth, fault tectonic, fold tectonic, hard thick-layer top board, protective coat extracted, adjacent coal seam are left over coal column, are closed on goaf, section coal pillar, coal mass relief, bifurcation of coal seam assembly section, Coal Seam Thickness Change district, also include the influence factor of geology and two aspects of production technique that stress can be caused to concentrate.
4. the danger of burst evaluation methodology based on cumulative stress coefficient of concentration according to claim 1, it is characterised in that: the division limits of described danger of burst grade has considered the uniaxial compressive strength R of coalC, stress of primary rock σ0, limit stress coefficient of concentration KC。
5. the danger of burst evaluation methodology based on cumulative stress coefficient of concentration according to claim 1, it is characterised in that: described cumulative stress coefficient of concentration KiComputational methods by formula:Calculate.
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| CN106934178A (en) * | 2017-04-07 | 2017-07-07 | 中国矿业大学 | A kind of island working face adopts preceding danger of burst Pre-Evaluation method |
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| CN109707453A (en) * | 2018-12-12 | 2019-05-03 | 中煤能源研究院有限责任公司 | A kind of permanent chamber impact Safety Argumentation method of coal mine |
| CN110513099A (en) * | 2019-08-20 | 2019-11-29 | 北京科技大学 | A kind of real-time forecasting system of the advanced material resources disaster of many reference amounts and method |
| CN111047216A (en) * | 2019-12-27 | 2020-04-21 | 辽宁工程技术大学 | Coal mine rock burst hazard evaluation method based on critical stress index 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 |
| CN112012797A (en) * | 2020-09-03 | 2020-12-01 | 兖州煤业股份有限公司 | Evaluation method for coal mine impact danger pressure relief effect |
| 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 |
| CN113339073A (en) * | 2021-07-06 | 2021-09-03 | 中国矿业大学 | Impact risk evaluation method based on roof rock stratum structure |
| CN114810211A (en) * | 2021-11-26 | 2022-07-29 | 中国矿业大学 | Rock burst danger prediction method based on mine seismic group vibration wave energy attenuation characteristics |
| CN114810211B (en) * | 2021-11-26 | 2023-03-10 | 中国矿业大学 | Rock burst danger prediction method based on mine seismic group shock wave energy attenuation characteristics |
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