CN110318808A - A kind of Rockburst Prediction Method introducing gradient stress - Google Patents
A kind of Rockburst Prediction Method introducing gradient stress Download PDFInfo
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- CN110318808A CN110318808A CN201910557080.3A CN201910557080A CN110318808A CN 110318808 A CN110318808 A CN 110318808A CN 201910557080 A CN201910557080 A CN 201910557080A CN 110318808 A CN110318808 A CN 110318808A
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
- E21F17/18—Special adaptations of signalling or alarm devices
- E21F17/185—Rock-pressure control devices with or without alarm devices; Alarm devices in case of roof subsidence
Abstract
The invention discloses a kind of Rockburst Prediction Methods for introducing gradient stress, method includes the following steps: step 1, measurement country rock tangential stress distribution curve, calculate stress collection angle value according to country rock tangential stress distribution curve；Step 2, by stress-strength ratio carry out rock burst intensity judge when, in conjunction with country rock gradient stress distribution；Gradient stress intensity ratio is obtained divided by stress-strength ratio with stress collection angle value；The case history of rock burst occurs for step 3, statistics, and rock burst instance data is substituted into the calculation formula of gradient stress intensity ratio, with gradient stress intensity than judgement prediction rock burst grade, and carries out region division to result；Step 4 is analyzed and summarized calculated result, obtains comparing the criterion that rock burst grade is predicted by stress-strength ratio and gradient stress intensity.The more previous criterion of rock burst criterion predictablity rate established by the present invention greatly improves, and application is simply, conveniently, can instruct design, the construction of deep-lying tunnel engineering.
Description
Technical field
The present invention relates to tunnel and underground engineering field more particularly to a kind of Rockburst Prediction Methods for introducing gradient stress.
Background technique
With the development and utilization of underground deep resource, rock burst have become faced in deep-buried underground engineering digging process it is great
Geological hazards.Carry out Prediction for Rock Burst in engineering early period or application for developing, can be effectively reduced engineering construction risk and construction at
This.Scholars have been directed to different underground engineerings and have proposed a large amount of rock burst theoretic prediction methods at present, but these methods are most
Only the single physical mechanics factor in rock mass engineering project is analyzed, and rock burst is a kind of geological hazards of complexity, so
These prediction techniques are only only applicable to part engineering, and prediction rate is relatively low.
Currently, index method is one of most widely used Rockburst Prediction Method, scholars refer to for the items of rock mass
Mark proposes different rock-burst evaluation indexs, the elastic energy index W including rock masset, Factor of Brittleness B, impact energy index Wcf, rock
Body integrity factor Kv, it is based on stress and intensity index etc..The wherein maximum tangential stress σ of cavernθWith rock uniaxiality strength
Relationship RcThe ratio between be most widely used in the forecasting research of rock burst.It counts and finds by a large amount of rock burst example, stress is strong
Degree compares σθ/RcWhen less than 0.4, σθ/RcPreferable linear relationship, i.e. σ is presented with rock burst gradeθ/Rc≤ 0.3 Shi Weiwu rock burst, 0.3
< σθ/RcIt is weak rock burst when≤0.4.But work as σθ/RcWhen > 0.4, Prediction for Rock Burst result has greater difference with actual result.
Since rockburst intensity is not only related with rock mass stress size, the change of stress state caused by stress path is additionally depended on
Change, and adit digging can cause country rock by tangential gradient stress in Practical Project, i.e. rock mass is larger in Dong Bichu stress, and with one
Gradient is determined to successively decreasing inside country rock.Therefore, only pass through stress-strength ratio σθ/RcRockburst intensity is predicted, it is strong with practical rock burst
There are certain distances for degree.The present invention in traditional stress-strength ratio rock burst criterion by introducing country rock gradient stress, i.e., by stress
The combined factors such as size, stress distribution, the size of chamber, shape, rock mass lithology condition consider, pre- to improve Rock-burst in Underground Rock Engineering
Survey rate.
Summary of the invention
The technical problem to be solved in the present invention is that for the defects in the prior art, a kind of gradient stress that introduces is provided
Rockburst Prediction Method.
The technical solution adopted by the present invention to solve the technical problems is:
The present invention provides a kind of Rockburst Prediction Method for introducing gradient stress, method includes the following steps:
Step 1, measurement country rock tangential stress distribution curve, calculate stress intensity according to country rock tangential stress distribution curve
Value；Stress collection angle value indicates that Secondary Disturbance stress in the intensity of country rock perturbing area, indicates that country rock is cut by stress collection angle value
To stress from cave wall to the attenuation change situation inside country rock；
Step 2, by stress-strength ratio carry out rock burst intensity judge when, in conjunction with country rock gradient stress distribution；Use stress
Collect angle value and obtains gradient stress intensity ratio divided by stress-strength ratio；
The case history of rock burst occurs for step 3, statistics, and the calculating that rock burst instance data is substituted into gradient stress intensity ratio is public
Formula with gradient stress intensity than judgement prediction rock burst grade, and carries out region division to result；
Step 4 is analyzed and summarized calculated result, obtains comparing rock burst by stress-strength ratio and gradient stress intensity
The criterion that grade is predicted carries out the prediction of rock burst grade by the criterion to case history to be predicted.
Further, the formula of stress collection angle value is calculated in step 1 of the invention are as follows:
Wherein, stress integrates angle value as η, and maximum tangential stress is σθmax, maximum principal stress σθ, hole diameter is R0。
Further, the formula of gradient stress intensity ratio is calculated in step 3 of the invention are as follows:
Wherein, gradient stress intensity ratio is β, rock uniaxiality strength Rc。
Further, the method that the case history of rock burst occurs is counted in step 3 of the invention are as follows:
It is tangential to maximum principal stress, the maximum of each underground tunnel project by collecting a large amount of case histories of rock burst both at home and abroad
Stress, hole diameter, rock uniaxiality strength and rock burst grade carry out comprehensive analysis.
Further, it obtains comparing rock burst grade by stress-strength ratio and gradient stress intensity in step 4 of the invention
The criterion predicted specifically:
When stress-strength ratio is less than 0.4: weak rock burst occurs or rock burst does not occur；
σθ, Rc≤ 0.3 without rock burst
0.3 < σθ/Rc≤ 0.4 weak rock burst
When stress-strength ratio is greater than 0.4: rock burst grade is determined by gradient stress intensity ratio；
Wherein, stress-strength ratio σθ/Rc, gradient stress intensity ratio is β.
The beneficial effect comprise that: the Rockburst Prediction Method of introducing gradient stress of the invention, 1, traditional rock
Quick-fried criterion only considers surrouding rock stress size and does not consider the stress distribution of country rock, and invention introduces the concepts of stress intensity, and
It is proposed its simplified calculation method, in conjunction with a large amount of case histories, the rock burst data that engineering is obtained are indicated by stress intensity and by force
It spends in the two-dimensional surface of stress ratio, has carried out many reference amounts expression formula empirical fit, the rock burst criterion established is in Prediction for Rock Burst standard
Higher in terms of true rate, the predictablity rate of traditional strength-stress ratio rock burst criterion is only 40% or so, and the present invention is introducing
Prediction for Rock Burst accuracy rate after gradient stress can reach 85% or more.It is ground from the prediction example of existing Practical Project and various documents
Studying carefully can obtain, and the prediction model combined by large amount of complex parameter can improve precision of prediction to a certain extent, but in practice side
Face is difficult to provide construction site effectively guidance there are limitation.Rock burst criterion established by the present invention, using simple, conveniently,
It can instruct design, the construction of deep-lying tunnel engineering.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples, in attached drawing:
Fig. 1 is the tangential stress distribution form within the scope of the adit digging country rock certain depth of the embodiment of the present invention.
Fig. 2 is the rock burst grade two-dimensional distribution of the embodiment of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, not
For limiting the present invention.
The Rockburst Prediction Method of the introducing gradient stress of the embodiment of the present invention, specific implementation step:
Step 1: to consider stress distribution, it is necessary to a series of simplification is done to surrouding rock stress perturbing area, by theory analysis
Show as caused by load releasing hole week pressure stress and change in displacement, less than 5% except 3 times of hole diameters, therefore it is presumed that three times
It is equal to the stress of primary rock at the diameter of hole.
Since the change rate of surrouding rock stress is not definite value, for convenience of indicating secondary stress in the collection of country rock perturbing area
Middle degree calculates the average rate of change of surrouding rock stressIts calculation formula is:
In formula, f (x) is the letter expression formula of surrouding rock stress distribution curve, R0To excavate hole diameter, unit m, for non-circular cave
Room can calculate its hole diameter using equivalent method；σθTo excavate preceding tunnel cross sectional maximum primary stress, units MPa；σθmaxFor
Hole wall tangential stress maximum value, units MPa.
The average rate of change is named as stress intensity η, it may be assumed that
Process to simplify the calculation removes the constant term in formula, i.e., are as follows:
Step 2: country rock gradient stress being distributed and is combined with stress-strength ratio rock burst criterion.
Stress-strength ratio rock burst Strength Criterion considers stress relative size only to predict rock burst.This criterion considers that chamber is opened
Digging cause perturbing area country rock tangentially to be influenced by gradient stress on rock burst, propose gradient stress intensity ratio β, with stress intensity divided by
Stress-strength ratio indicates rock burst linear:
Step 3: the case history of rock burst occurs for statistics.
Rockburst intensity is predicted than criterion with gradient stress intensity, need to substitute into rock burst instance data calculation formula as a result, and right
As a result region division is carried out.A large amount of case histories of rock burst both at home and abroad are collected, mainly to the maximum principal stress of each underground tunnel project
σθ, maximum tangential stress σθmax, hole diameter R0, rock uniaxiality strength RcAnd rock burst grade is counted.Each example is calculated accordingly
In stress-strength ratio σθ/Rc, stress intensityAnd gradient stress intensity ratioSpecific number
According to being shown in Table shown in 1,2,3.
Step 4: calculated result being analyzed and summarized, proposes new criterion.
Processing analysis is grouped to mass data, can be obtained, when strength-stress ratio is less than 0.4, weak rock burst can only occur
Or rock burst does not occur；When strength-stress ratio is greater than 0.4, rock burst grade can be determined by gradient stress intensity ratio.Rock burst grade
Two-dimensional distribution is as shown in attached drawing 2.
σθ/Rc≤ 0.3 without rock burst
0.3 < σθ/Rc≤ 0.4 weak rock burst
By stress-strength ratio σθ/RcThe data of grouping are shown in Table 1,2,3.It is pre- according to the rock burst known to data in table and rock burst grade
For survey method predictablity rate 85% or more, which not only greatly improves predictablity rate, moreover it is possible to be used in very well various
In Tunnel Engineering under high-ground stress.
1. field engineering rock burst of table counts (σθ/Rc≤0.3)
| Tunnel title | σθ/Rc | η/MPa·m-1 | β | Practical rock burst grade |
| Lubuge | 0.23 | 2.13 | 9.24 | Without rock burst |
| Erlang Mountain Highway Tunnel | 0.28 | 3.73 | 13.34 | Without rock burst |
| Erlang Mountain Highway Tunnel | 0.11 | 0.58 | 5.31 | Without rock burst |
| Erlang Mountain Highway Tunnel | 0.12 | 0.55 | 4.54 | Without rock burst |
| Erlang Mountain Highway Tunnel | 0.10 | 0.59 | 5.87 | Without rock burst |
| Erlang Mountain Highway Tunnel | 0.08 | 0.39 | 4.90 | Without rock burst |
| Erlang Mountain Highway Tunnel | 0.26 | 1.49 | 5.72 | Without rock burst |
| Erlang Mountain Highway Tunnel | 0.11 | 1.04 | 9.45 | Without rock burst |
| Erlang Mountain Highway Tunnel | 0.28 | 1.94 | 7.00 | Without rock burst |
| Erlang Mountain Highway Tunnel | 0.26 | 2.652 | 10.20 | Weak rock burst |
2. field engineering rock burst of table counts (0.3 < σθ/Rc≤0.4)
| Tunnel title | σθ/Rc | η/MPa·m-1 | β | Practical rock burst grade |
| Peaceful post | 0.38 | 3.48 | 9.16 | Weak rock burst |
| Central Tianshan tunnel | 0.33 | 1.99 | 5.96 | Weak rock burst |
| Central Tianshan tunnel | 0.33 | 1.82 | 5.47 | Weak rock burst |
| Central Tianshan tunnel | 0.34 | 2.14 | 6.31 | Weak rock burst |
| Central Tianshan tunnel | 0.35 | 1.65 | 4.71 | Weak rock burst |
| No. 2 vertical shafts of Qinling Highway Tunnel | 0.36 | 2.33 | 6.54 | Weak rock burst |
| Bar Shan high speed rice barn mountain tunnel | 0.35 | 6.44 | 18.39 | Weak rock burst |
| The tunnel Sweden Headrace | 0.38~0.41 | 5.195~5.844 | 12.67~15.38 | Weak rock burst |
| Norway's Eikesdal vcehicular tunnel | 0.35 | 5.91 | 16.74 | Weak rock burst |
3. field engineering rock burst of table counts (0.4 < σθ/Rc)
It should be understood that for those of ordinary skills, it can be modified or changed according to the above description,
And all these modifications and variations should all belong to the protection domain of appended claims of the present invention.
Claims (5)
1. a kind of Rockburst Prediction Method for introducing gradient stress, which is characterized in that method includes the following steps:
Step 1, measurement country rock tangential stress distribution curve, calculate stress collection angle value according to country rock tangential stress distribution curve；It answers
Power collection angle value indicates that Secondary Disturbance stress in the intensity of country rock perturbing area, indicates country rock tangential stress by stress collection angle value
From cave wall to the attenuation change situation inside country rock；
Step 2, by stress-strength ratio carry out rock burst intensity judge when, in conjunction with country rock gradient stress distribution；With stress intensity
Value obtains gradient stress intensity ratio divided by stress-strength ratio；
The case history of rock burst occurs for step 3, statistics, and rock burst instance data is substituted into the calculation formula of gradient stress intensity ratio,
With gradient stress intensity than judgement prediction rock burst grade, and region division is carried out to result；
Step 4 is analyzed and summarized calculated result, obtains comparing rock burst grade by stress-strength ratio and gradient stress intensity
The criterion predicted carries out the prediction of rock burst grade by the criterion to case history to be predicted.
2. the Rockburst Prediction Method according to claim 1 for introducing gradient stress, which is characterized in that calculate and answer in step 1
The formula of power collection angle value are as follows:
Wherein, stress integrates angle value as η, and maximum tangential stress isMaximum principal stress σθ, hole diameter is R0。
3. the Rockburst Prediction Method according to claim 2 for introducing gradient stress, which is characterized in that calculate ladder in step 3
Spend the formula of stress-strength ratio are as follows:
Wherein, gradient stress intensity ratio is β, rock uniaxiality strength Rc。
4. the Rockburst Prediction Method according to claim 1 for introducing gradient stress, which is characterized in that count hair in step 3
The method of the case history of raw rock burst are as follows:
By collecting a large amount of case histories of rock burst both at home and abroad, to the maximum principal stress of each underground tunnel project, maximum tangential stress,
Hole diameter, rock uniaxiality strength and rock burst grade carry out comprehensive analysis.
5. the Rockburst Prediction Method according to claim 1 for introducing gradient stress, which is characterized in that led in step 4
Overstress intensity is than comparing the criterion that rock burst grade is predicted with gradient stress intensity specifically:
When stress-strength ratio is less than 0.4: weak rock burst occurs or rock burst does not occur；
σθ/Rc≤ 0.3 without rock burst
0.3 < σθ/Rc≤ 0.4 weak rock burst
When stress-strength ratio is greater than 0.4: rock burst grade is determined by gradient stress intensity ratio；
Wherein, stress-strength ratio σθ/Rc, gradient stress intensity ratio is β.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111368359A (en) * | 2020-02-25 | 2020-07-03 | 浙江大学城市学院 | Tunnel slab cracking buckling type rock burst determination method |
| CN111898244A (en) * | 2020-06-24 | 2020-11-06 | 中铁第一勘察设计院集团有限公司 | Risk assessment method for rockburst in linear engineering investigation stage |
| CN113482725A (en) * | 2021-08-12 | 2021-10-08 | 中铁十二局集团有限公司 | Prevention and control construction method for high-ground stress section of tunnel |
| CN114153005A (en) * | 2022-02-10 | 2022-03-08 | 北京建筑大学 | Rock burst risk level prediction method and system based on big data analysis |
| CN114778800B (en) * | 2022-04-28 | 2023-08-08 | 中交第一公路勘察设计研究院有限公司 | Multi-factor rock burst prediction method based on analysis method |
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| CN114778800B (en) * | 2022-04-28 | 2023-08-08 | 中交第一公路勘察设计研究院有限公司 | Multi-factor rock burst prediction method based on analysis method |
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