CN109827846A - It is a kind of based on add unloading response lag than index Rock burst proneness Grade Judgment - Google Patents
It is a kind of based on add unloading response lag than index Rock burst proneness Grade Judgment Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/08—Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
- G01N3/10—Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces generated by pneumatic or hydraulic pressure
- G01N3/12—Pressure testing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/0014—Type of force applied
- G01N2203/0016—Tensile or compressive
- G01N2203/0019—Compressive
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/003—Generation of the force
- G01N2203/0042—Pneumatic or hydraulic means
- G01N2203/0048—Hydraulic means
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/02—Details not specific for a particular testing method
- G01N2203/025—Geometry of the test
- G01N2203/0252—Monoaxial, i.e. the forces being applied along a single axis of the specimen
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Abstract
The invention discloses it is a kind of based on add unloading response lag than index Rock burst proneness Grade Judgment.By carrying out uniaxial compression classification plus unloading test to cylindrical type rock sample, obtain its stress-strain diagram, at every grade plus it is calculated according to least square fitting method at unloading peak point and adds unloading response, and then the Loading ami deloading response ratio change curve of rock sample is obtained, the starting point that Loading ami deloading response ratio starts to step up has been defined as height.It plays height and corresponds to the interval time that load time point is corresponded to rock sample peak strength between load time point and be known as lag time T1, corresponding to the interval time load time point from initial load time point to rock sample peak strength is known as T2, T1And T2Ratio be known as plus unloading response lag than index TR.Using calculated plus unloading response lag than index TRSize rock material Rock burst proneness grade discrimination may be implemented.
Description
Technical field
The present invention relates to it is a kind of based on add unloading response lag than index Rock burst proneness Grade Judgment.
Background technique
Rock burst is a kind of power destruction phenomenon that deep rock engineering excavation frequently encounters in the process.Rock burst is in mine deep
It is commonplace in the geotechnical engineerings such as exploitation, rail traffic, water conservancy and hydropower.When rock burst occurs, it often will appear sliver ejection, spout
Phenomena such as even bursting is penetrated, brings very big threat safely to site operation personnel, equipment etc..Rock burst proneness is studied
As the dynamic (dynamical) important topic of deep rock.The supporting body that rock occurs as rock burst hazard, the bullet brittleness of itself and storage
Energy characteristic is to cause the main internal factor of rock burst.For this purpose, how to judge whether rock there is Rock burst proneness to become prevention rock
One of critical issue in quick-fried Disaster Study.
Loading ami deloading response ratio (Load-Unload Response Ratio, LURR) theory is a kind of study of rocks or rock mass
Nonlinear damage omen and the theory for destroying forecast.Currently, concrete-cored DCM pile is in nonlinear systems such as earthquake, landslides
A series of progress are achieved in system unstability prediction.For rock sample compression damage problem, with the raising of loading force, when adding
When being downloaded to later stage (loading force is greater than 60% peak strength), sample can occur and extend from elastic deformation stage to crack
Stage conversion.When rock sample is in elastic deformation stage, invertibity is the essential characteristic of flexible deformation, and loaded segment becomes
Shape modulus is identical with unloading segment deformation modulus, and rock sample enters crack instability development after collapse stage, rock sample
Deformation there is irreversibility, loaded segment deformation modulus is less than deformation modulus when unloading, this differential disply rock power
The trend that property starts deterioration is learned, this degradation trend very regular can be reflected in rock LURR numerically, specific table
Now for the raising of loading force, LURR value can step up increase.The starting point that LURR is stepped up has been defined as height,
Rise between height and rock peak strength point interval time be known as lag time T1, tried from rock initial loading to rock is reached
The time of sample peak strength is T2, add unloading response lag ratio TR=T1/T2.Lag compares TRRock burst proneness with sample is in line
T is worked as in sexual intercourseRWhen > 0.25, rock material is inclined to without rock burst；As 0.20 < TRWhen≤0.25, rock material has slight rock burst
Tendency；As 0.15 < TRWhen≤0.20, rock material has medium rock burst to be inclined to；Work as TRWhen≤0.15, rock material has strong rock burst
Tendency.Therefore, lag ratio T of the rock in classification plus unloading experiment how is obtainedR, it is the key that solve the above problems.
Summary of the invention
A kind of method that the present invention proposes calculating rock Loading ami deloading response ratio lag ratio under uniaxial classification plus unloading condition,
And the size using calculated Loading ami deloading response ratio lag than numerical value differentiates rock material Rock burst proneness grade.
Cylindrical rock sample is placed on rigidly electro-hydraulic watch by a kind of judgement rock material Rock burst proneness Grade Judgment
It takes on control of material testing machine, uniaxial compression classification plus unloading test is carried out with the power control loading speed of 12KN/min, obtained
Rock test is at different levels plus unloading peak point Loading ami deloading response ratio value, plays height according to Loading ami deloading response ratio and answers with peak value
Interval time T between force1Reach time T used in peak strength with initial loading to rock sample2, calculate T1And T2Ratio determine
Rock sample adds unloading response lag ratio TR。
According to be calculated plus unloading response lag ratio TRValue, can differentiate the Rock burst proneness grade of rock material,
But also it can be according to TRSize, the Rock burst proneness size of rock material is ranked up from small to large.
It is a kind of based on add unloading response lag than index Rock burst proneness Grade Judgment, comprising the following steps:
Step 1: according to rock mechanics uniaxial compression test regulation, taking 1 cylindrical rock sample to be placed in rigidity electro-hydraulic
On servo control of material testing machine, with the power control loading speed load of 12KN/min until rock sample destroys, rock is measured
The uniaxial compressive strength σ of samplec；
Step 2: take the rock sample of 3 same sizes again, with identical power control loading speed to rock test into
Row load, is loaded onto uniaxial compressive strength σ firstc4%, be then unloaded to 0, this load be used as the 1st grade of load, then
It is loaded onto the 8% of uniaxial compressive strength again, is offloaded to 4%, as the 2nd grade of load；It reloads to 12%, is offloaded to 8%,
As the 3rd grade of load, and so on, step by step plus unloading is until rock sample destroys, to obtain each rock sample in single shaft
Stress-strain diagram in compression classification plus unloading test；
Step 3: stress-strain diagram obtained in step 2 being analyzed, each plus unloading peak point position is determined, every
In the axial stress of a loaded segment added before and after unloading peak point and unloading segment, 1MPa is respectively taken separately down from peak stress
Data calculate Loading ami deloading response ratio value using least square fitting method.Concrete operations be with it is at different levels plus unloading peak point be on
Limit, respectively takes 1MPa data in loaded segment and unloading segment, fits the slope of loaded segment respectively according to least square fitting method and unloads
Carry the slope of section；
Step 4: according to the load slope over 10 and unloading slope over 10 being fitted in step 3, taking respective work reciprocal respectively
For loaded segment response rate and unloading segment response rate, at different levels plus unloading peak point Loading ami deloading response ratio value is loaded segment response
The ratio of rate and unloading segment response rate；
Step 5: Loading ami deloading response ratio change curve obtained in analytical procedure 4 defines each rock sample Loading ami deloading response ratio
The starting point for stepping up phenomenon has been height, remembers that the difference of adjacent two-stage Loading ami deloading response ratio value is Δ LURR, Δ
LURRι=LURRι-LURRι-1(ι >=2), Δ LURR in formulaιFor i-stage plus the corresponding Loading ami deloading response ratio difference of unloading test,
LURRιFor i-stage Loading ami deloading response ratio value, LURRι-1For (i-1)-th grade of Loading ami deloading response ratio value.Investigate 60% peak of rock sample
After value intensity corresponding Δ LURR value shows that rock Loading ami deloading response ratio value goes out if three continuous Δ LURR values are positive
Now step up phenomenon, it is determined that the corresponding previous stage of first Δ LURR in these three continuous Δ LURR adds unloading to try
The peak point tested has been height.
Step 6: having determined that height corresponds to load time point and corresponds between load time point to rock sample peak strength
Interval time T1, it is T from initial loading to the time for being loaded into peak strength2, calculate T1And T2Ratio TRTo add unloading to respond
Lag ratio.
Step 7: utilizing the calculated T of step 6RValue judges the Rock burst proneness of rock sample.
Work as TRWhen > 0.25, rock material is inclined to without rock burst；As 0.20 < TRWhen≤0.25, rock material has slight rock burst
Tendency；As 0.15 < TRWhen≤0.20, rock material has medium rock burst to be inclined to；Work as TRWhen≤0.15, rock material has strong rock burst
Tendency.
The diameter D of the cylindrical rock sample is taken as 48-52mm, and height L is 1.8~2.2 times of diameter length.Pass through
Rock is tested according to the method described above, is established to add unloading response lag than index TRRock as measurement index
Material Rock burst proneness differentiates grade scale.Using adding unloading response lag than index can not only differentiate rock material rock burst
Tendentiousness grade, and according to adding size of the unloading response lag than index that can differentiate that result is ranked up with In Grade, determine
The Rock burst proneness size of the various rock materials of differentiation of amount.
Beneficial effect
Loading ami deloading response ratio (Load-Unload Response Ratio, LURR) theory is a kind of study of rocks or rock mass
Nonlinear damage omen and the theory for destroying forecast.The rock response rate of its loaded segment and unloading segment in adding uninstall process
Response rate is different, and when especially closing on destruction, load response rate is greater than unloading response rate, and Loading ami deloading response ratio will increase
Phenomenon can be used for the nonlinear systems such as rock since this phenomenon of Loading ami deloading response ratio occurs before the rock failure mechanism of rock
The prediction of unstability and unstability grading.The invention proposes it is a kind of based on add unloading response lag than index rock burst tendency
Property Grade Judgment, according to rock uniaxial compression classification plus unloading test in plus unloading response lag ratio TRSize, it is right
The Rock burst proneness grade discrimination of rock material, and Rock burst proneness size is ranked up.Pass through the single shaft to rock sample
At different levels plus unloading peak point Loading ami deloading response ratio is calculated according to least square fitting method in compression classification plus unloading test
Value, the starting point that Loading ami deloading response ratio steps up have been defined as height, between rising between height and rock sample peak strength point
It is known as lag time T every the time1, reach the time between peak strength from initial loading to rock sample for T2, lag and compare TR
=T1/T2, according to formula T1/T2Calculate lag ratio TRSpecific value, find TRIt is linearly closed with rock Rock burst proneness
System, the present invention judge the Rock burst proneness grade of rock material using calculated plus unloading response lag than size, are rock
Material Rock burst proneness grade discrimination provides a kind of new method.
Detailed description of the invention
Fig. 1 is the flow diagram of the method for the invention；
Fig. 2 is cylindrical sample stereoscopic schematic diagram；
Fig. 3 is rock sample classification plus unloading scheme；
Fig. 4 is that rock sample adds unloading stress-strain curve；
Fig. 5 is to add loaded segment and unloading segment in unloading test to be fitted certain level-one using least square fitting method to show
It is intended to；
Fig. 6 is to determine that Loading ami deloading response ratio plays the method figure of height；
Fig. 7 is T1、T2Determination method figure.
Specific embodiment
Below in conjunction with drawings and examples, the present invention is described further.
Embodiment 1:
Rock Under Uniaxial Compression compression classification plus unloading test are carried out in MTS815 electro-hydraulic servo testing machine, the rock burst to rock
Tendentiousness is judged.
As shown in Figure 1, it is a kind of based on add unloading Rock burst proneness Grade Judgment of the response lag than index, specific mistake
Journey is as follows:
(1) sillar of acquirement is processed into cylindrical sample by field sampling, and diameter D is taken as 48-52mm, the length L of sample
1.8~2.2 times of diameter are taken, as shown in Figure 1.Test should follow these steps to carry out:
(2) uniaxial compression test is carried out, sample load until destruction, obtains with 12KN/min power control loading speed
To its stress-strain diagram, using the peak value of the axial stress of rock sample as its uniaxial compressive strength σc。
(3) cylindrical rock sample of 3 same sizes is taken again, and rock is carried out with identical power control loading speed
Uniaxial compression classification plus unloading test, add unloading scheme referring to Fig. 3, are loaded onto uniaxial compressive strength σ firstc4%, then
It is unloaded to 0, this load is used as the 1st grade of load, and it is then loaded onto the 8% of uniaxial compressive strength again, is offloaded to 4%, as
2nd grade of load；It reloads to 12%, is offloaded to 8%, as 3rd level load, and so on, step by step plus unloading is until rock tries
Sample destroys, to obtain the stress-strain diagram such as Fig. 4 of each rock sample in uniaxial compression classification plus unloading test.
(4) obtain rock sample classification add unloading stress-strain diagram after, analysis stress-strain diagram determines every first
The position of grade plus unloading peak point, loaded segment and unloading segment at every grade plus before and after unloading peak point take 1MPa length respectively
Data point fits the slope of loaded segment and unloading segment data point respectively.Adding unloading segment response rate is the inverse of its slope,
Loading ami deloading response ratios at different levels are the ratio of loaded segment response rate and unloading segment response rate, such as Fig. 5, according to least square fitting
The fitting formula of method, loaded segment 1MPa data and unloading segment 1MPa data is respectively y=6401.8x-1.4122, y=
16561.0x-9.6667 (y indicates axial stress in fitting formula, and x indicates axial strain), loaded segment 1MPa data and unloading
The slope of section 1MPa data is respectively 6401.8,16561.0, then the response of loaded segment 1MPa data and unloading segment 1MPa data
Rate is respectively 1/6401.8,1/16561.0, the same level add unloading peak point Loading ami deloading response ratio be
(5) rock sample is calculated in Loading ami deloading response ratios at different levels plus unloading point, obtains Loading ami deloading response ratio with axial direction
The change curve of strain.Such as Fig. 6, the difference of two neighboring Loading ami deloading response ratio value is denoted as Δ LURR, Δ LURRι=LURRι-
LURRι-1(ι >=2), Δ LURR in formulaιFor i-stage plus the corresponding Loading ami deloading response ratio difference of unloading test, LURRιFor i-stage
Loading ami deloading response ratio value, LURRι-1For (i-1)-th grade of Loading ami deloading response ratio value；It is right after investigation 60% peak strength of rock sample
It is existing to show that stepping up occurs in rock Loading ami deloading response ratio value if three continuous Δ LURR values are positive for the Δ LURR value answered
It is as, it is determined that the corresponding previous stage of first Δ LURR in these three continuous Δ LURR adds the peak point of unloading test
Play height.
(6) as Fig. 7 calculates the LURR lag time T between height and rock sample peak strength point1, add from initial
It is loaded onto rock sample and reaches the time of peak strength for T2, according to formula TR=T1/T2Calculate plus unload response lag ratio.
(7) last basis plus unloading response lag ratio TRValue judge rock sample Rock burst proneness grade, work as TRWhen > 0.25,
Rock material is inclined to without rock burst；As 0.20 < TRWhen≤0.25, rock material has slight rock burst to be inclined to；As 0.15 < TR≤0.20
When, rock material has medium rock burst to be inclined to；Work as TRWhen≤0.15, rock material has strong rock burst to be inclined to.
Embodiment 2:
By taking green sandstone as an example, first calculates plus unloading response lag is than index TR, then according to the test result of 10 kinds of rocks
Judge the Rock burst proneness grade of green sandstone, specific as follows:
Step1: it is 50mm that the sillar that engineering site is fetched, which is processed into diameter, and the cylindrical rock that length is 100mm tries
Sample takes the rock sample of 3 same sizes to carry out uniaxial compression test in MTS815 electro-hydraulic servo testing machine, with load
The power that rate is 12KN/min controls loading method load, and the uniaxial compressive strength for obtaining green sandstone sample is respectively
83.24MPa, 76.86MPa, 80.19MPa, average uniaxial compressive strength are σc=80.10MPa.
Step2: according to the uniaxial compressive strength σ obtained in step1cValue, determine level-one load be 3.2MPa, second level,
Three-level load is 6.4MPa, 9.6MPa, and every grade of loading ratio upper level load increases 3.2MPa, adds unloading step by step until rock in this way
Stone sample destroys.
Step3: taking the identical rock sample of 3 specifications, carries out uniaxial compression classification plus unloading examination to rock sample respectively
It tests, rock sample is loaded into the power control loading speed of 12KN/min and is destroyed, adds unloading manner such as Fig. 3, is loaded onto list first
Axis compression strength σc4%, be then unloaded to 0, this load be used as the 1st grade of load, it is strong to be then loaded onto uniaxial compressive again
The 8% of degree, is offloaded to 4%, as the 2nd grade of load；It reloads to 12%, 8% is offloaded to, as 3rd level load, with such
It pushes away, step by step plus unloading is until rock sample destroys, to obtain each rock sample in uniaxial compression classification plus unloading test
Stress-strain diagram；
Step4: stress-strain diagram obtained in analysis step3 determines each plus unloading peak point position, each
In the axial stress for adding the loaded segment and unloading segment before and after unloading peak point, 1MPa number is respectively taken separately down from peak stress
Loading ami deloading response ratio value is calculated according to using least square fitting method.Concrete operations are to add unloading peak point as the upper limit using at different levels,
Loaded segment and unloading segment respectively take 1MPa data, fit the slope and unloading segment of loaded segment respectively according to least square fitting method
Slope.
The slope of loaded segment and unloading segment is obtained in step5:step4, the response rate of loaded segments and unloading segment at different levels is
The inverse of loaded segment and unloading slope over 10, at different levels plus unloading peak point Loading ami deloading response ratio value are rung by loaded segment and unloading segment
Should rate ratio calculation obtain.
Step6: green sandstone is calculated in Loading ami deloading response ratio values at different levels plus unloading point, it is bent to obtain Loading ami deloading response ratio variation
Line has determined height location method are as follows: two neighboring to add after calculating Loading ami deloading response ratio value according to least square fitting method
The difference of unloading response ratio is denoted as Δ LURR, Δ LURRι=LURRι-LURRι-1(ι >=2), Δ LURR in formulaιFor i-stage plus
The corresponding Loading ami deloading response ratio difference of unloading test, LURRιFor i-stage Loading ami deloading response ratio value, LURRι-1Add for (i-1)-th grade
Unloading response ratio.Corresponding Δ LURR value after investigation 60% peak strength of rock sample, if three continuous Δ LURR values
It is positive, that is, shows that rock Loading ami deloading response ratio value occurs stepping up phenomenon, it is determined that in these three continuous Δ LURR
The corresponding previous stage of one Δ LURR adds the peak point of unloading test to be height.
Step7: the LURR lag time T between height and rock sample peak strength point are calculated1, initial from testing
The time for reaching peak strength to rock sample is T2, according to formula TR=T1/T2It calculates plus unloading response lag ratio, such as table 1,
Three green sandstone rock sample T1Respectively 391s, 409s, 368s, T2Respectively 2315s, 2240s, 2420s, three green sandstone rock samples
Lag compares TRCalculated result be 0.169,0.183,0.152.
Step8: T is finally compared according to Loading ami deloading response ratio lagRValue judge rock sample Rock burst proneness grade, work as TR>
When 0.25, rock material is inclined to without rock burst；As 0.20 < TRWhen≤0.25, rock material has slight rock burst to be inclined to；As 0.15 <
TRWhen≤0.20, rock material has medium rock burst to be inclined to；Work as TRWhen≤0.15, rock material has strong rock burst to be inclined to, and sentences to improve
The accuracy of disconnected rock Rock burst proneness grade takes mean value to the lag ratio of three green sandstone rock rock samples: (0.169+0.183
+ 0.152)/3=0.168, the lag of three green sandstone rock samples is 0.168 than mean value, therefore the Rock burst proneness grade of green sandstone
It is medium.
The green sandstone of table 1 adds unloading response lag to compare calculated result
In addition, also calculating Shaoyang fiber crops granite, microgranite, yellow rust stone granite, Red Sandstone, black according to above-mentioned steps
Other 9 kinds of rock materials such as sandstone, limestone, the white griotte in Leiyang, coarse marble, Guangxi White griotte add unloading response
Lag is proposed than (shown in table 2) based on the Rock burst proneness grade classification for adding unloading response lag than the rock material of index
Standard, it may be assumed that work as TRWhen > 0.25, rock material is inclined to without rock burst；As 0.20 < TRWhen≤0.25, rock material has slight rock burst
Tendency；As 0.15 < TRWhen≤0.20, rock material has medium rock burst to be inclined to；Work as TRWhen≤0.15, rock material has strong rock burst
Tendency.
Using above-mentioned standard, the Rock burst proneness grade of 10 kinds of rock materials is differentiated (shown in table 2), acquired results
It tallies with the actual situation.In addition, adding unloading response lag than the specific value of index according to gained, from small to large to 10 kinds of rocks
The Rock burst proneness size of material is ranked up, and acquired results also comply with actual conditions.
The Rock burst proneness grade judging result of 2 rock material of table
The above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, although referring to above-described embodiment pair
The present invention is described in detail, it should be understood by those ordinary skilled in the art that: still can be to of the invention specific
Embodiment is modified or replaced equivalently, and without departing from any modification of spirit and scope of the invention or equivalent replacement,
It is intended to be within the scope of the claims of the invention.
Claims (4)
1. it is a kind of based on add unloading response lag than index Rock burst proneness Grade Judgment, which is characterized in that by cylinder
Shape rock sample is placed on rigid electro-hydraulic servo control of material testing machine, carries out uniaxial compression point with the loading speed of 12KN/min
Grade plus unloading test obtain stress-strain diagram of the rock sample under classification plus unloading condition, lead to until rock sample destruction
It crosses least square fitting method and Loading ami deloading response ratio (Load-Unload Response Ratio, LURR) value is calculated.It determines
It plays height and corresponds to load time point and correspond to interval time T between load time point to rock sample peak strength1, initial loading
Time corresponds to the interval time T between the load time to rock sample peak strength2, calculate T1And T2Ratio TR.Work as TR>
When 0.25, rock material is inclined to without rock burst；As 0.20 < TRWhen≤0.25, rock material has light rock burst to be inclined to；As 0.15 < TR≤
When 0.20, rock material has middle rock burst to be inclined to；Work as TRWhen≤0.15, rock material has strong rock burst to be inclined to.
2. the method according to claim 1, wherein the rock is in uniaxial compression classification plus unloading test
Lag compares TRCalculating process is as follows:
Step 1: according to rock mechanics uniaxial compression test regulation, 1 cylindrical rock sample being taken to be placed in rigid electro-hydraulic servo
On control of material testing machine, with the power control loading speed load of 12KN/min until rock sample destroys, rock sample is measured
Uniaxial compressive strength σc；
Step 2: taking the rock sample of 3 same sizes again, rock test is added with identical power control loading speed
It carries, is loaded onto uniaxial compressive strength σ firstc4%, be then unloaded to 0, this load be used as the 1st grade of load, then again plus
It is loaded onto the 8% of uniaxial compressive strength, is offloaded to 4%, as the 2nd grade of load；It reloads to 12%, 8% is offloaded to, as the 3rd
Grade load, and so on, step by step plus unloading is until rock sample destroys, to obtain each rock sample in uniaxial compression classification
Add the stress-strain diagram in unloading test；
Step 3: stress-strain diagram obtained in step 2 being analyzed, each plus unloading peak point position is determined, adds each
In the axial stress for unloading the loaded segment and unloading segment before and after peak point, respectively take 1MPa data sharp separately down from peak stress
Loading ami deloading response ratio value is calculated with least square fitting method.Concrete operations are to add using at different levels plus unloading peak point as the upper limit
Carry section and unloading segment and respectively take 1MPa data, fitted respectively according to least square fitting method loaded segment slope and unloading segment it is oblique
Rate；
Step 4: according to the load slope over 10 and unloading slope over 10 being fitted in step 3, respective reciprocal be used as being taken to add respectively
Section response rate and unloading segment response rate are carried, at different levels plus unloading peak point Loading ami deloading response ratio value is loaded segment response rate and unloads
Carry the ratio of section response rate；
Step 5: Loading ami deloading response ratio change curve obtained in analytical procedure 4 defines each rock sample Loading ami deloading response ratio and occurs
The starting point for stepping up phenomenon has been height, remembers that the difference of adjacent two-stage Loading ami deloading response ratio value is Δ LURR, Δ LURRι=
LURRι-LURRι-1(ι >=2), Δ LURR in formulaιFor i-stage plus the corresponding Loading ami deloading response ratio difference of unloading test, LURRιFor
I-stage Loading ami deloading response ratio value, LURRι-1For (i-1)-th grade of Loading ami deloading response ratio value.Investigate 60% peak strength of rock sample it
Corresponding Δ LURR value afterwards shows that rock Loading ami deloading response ratio value occurs on step by step if three continuous Δ LURR values are positive
Rise phenomenon, it is determined that the corresponding previous stage of first Δ LURR in these three continuous Δ LURR adds the peak point of unloading test
To play height.
Step 6: having determined that height corresponds to load time point and corresponds to interval between load time point to rock sample peak strength
Time T1, initial load time point to rock sample peak strength corresponds to the interval time T between load time point2, calculate T1With
T2Ratio TRTo add unloading response lag ratio.
Step 7: utilizing the calculated T of step 6RValue judges the Rock burst proneness of rock sample.
Work as TRWhen > 0.25, rock material is inclined to without rock burst；As 0.20 < TRWhen≤0.25, rock material has slight rock burst to be inclined to；
As 0.15 < TRWhen≤0.20, rock material has medium rock burst to be inclined to；Work as TRWhen≤0.15, rock material has strong rock burst to be inclined to.
3. method according to claim 1 or 2, which is characterized in that determine that Loading ami deloading response ratio plays height and peak stress
Interval time T between point1Reach time T used in peak strength with initial loading to rock sample2, the rock sample is in uniaxial compression
Lag ratio T in classification plus unloading testR, pass through T1And T2Ratio obtain.
4. the method according to claim 1, wherein the diameter D of the cylindrical rock sample is taken as 48-
52mm, height L are 1.8~2.2 times of diameter length.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910108060.8A CN109827846A (en) | 2019-02-02 | 2019-02-02 | It is a kind of based on add unloading response lag than index Rock burst proneness Grade Judgment |
| CN201910429937.3A CN110044716B (en) | 2019-02-02 | 2019-05-22 | Rock burst tendency grade discrimination method based on loading and unloading response hysteresis ratio index |
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| CN112665731A (en) * | 2020-12-31 | 2021-04-16 | 中国矿业大学 | Grading early warning method for monitoring coal rock damage instability by infrared radiation technology |
| CN115048821A (en) * | 2022-08-15 | 2022-09-13 | 中国矿业大学(北京) | Prediction method of lagging rock burst |
| CN115266348A (en) * | 2022-07-27 | 2022-11-01 | 中国科学院武汉岩土力学研究所 | Rock burst tendency grade judgment method based on dynamic and static load superposition test |
| CN115773937A (en) * | 2022-12-10 | 2023-03-10 | 北京科技大学 | Strain rock burst tendency grade discrimination method |
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| CN111855412B (en) * | 2020-08-03 | 2023-01-13 | 大冶有色金属有限责任公司 | Rock burst tendency grade discrimination method based on stress energy ratio |
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| CN102128741A (en) * | 2010-11-23 | 2011-07-20 | 山东大学 | Triaxial rheological test process and method for hard and crisp rock |
| PL2833118T3 (en) * | 2012-03-31 | 2017-01-31 | China Univ Of Mining & Tech (Beijing) | Simulated impact-type rock burst experiment apparatus |
| CN105738204B (en) * | 2016-02-26 | 2018-07-31 | 中南大学 | A method of judging that Rock burst proneness occurs for rock material |
| CN107084886B (en) * | 2017-06-01 | 2020-01-03 | 河海大学 | Method for determining effective stress coefficient of rock |
| CN107991184A (en) * | 2017-11-27 | 2018-05-04 | 中南大学 | A kind of Rock burst proneness Grade Judgment based on residual elasticity strain energy index |
| CN108152137B (en) * | 2017-12-28 | 2020-02-14 | 辽宁工程技术大学 | Method for determining long-term strength in rock creep test |
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| CN112665731A (en) * | 2020-12-31 | 2021-04-16 | 中国矿业大学 | Grading early warning method for monitoring coal rock damage instability by infrared radiation technology |
| CN115266348A (en) * | 2022-07-27 | 2022-11-01 | 中国科学院武汉岩土力学研究所 | Rock burst tendency grade judgment method based on dynamic and static load superposition test |
| CN115266348B (en) * | 2022-07-27 | 2024-04-26 | 中国科学院武汉岩土力学研究所 | Rock burst tendency grade judging method based on dynamic and static load superposition test |
| CN115048821A (en) * | 2022-08-15 | 2022-09-13 | 中国矿业大学(北京) | Prediction method of lagging rock burst |
| CN115773937A (en) * | 2022-12-10 | 2023-03-10 | 北京科技大学 | Strain rock burst tendency grade discrimination method |
| CN115773937B (en) * | 2022-12-10 | 2023-08-08 | 北京科技大学 | Strain type rock burst tendency grade discrimination method |
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