CN109100247A - Class coal petrography stone crustal stress K point test method based on Kaiser effect - Google Patents
Class coal petrography stone crustal stress K point test method based on Kaiser effect Download PDFInfo
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- 239000003245 coal Substances 0.000 title claims abstract description 39
- 230000000694 effects Effects 0.000 title claims abstract description 37
- 239000004575 stone Substances 0.000 title claims abstract description 22
- 238000010998 test method Methods 0.000 title claims abstract description 22
- 238000000034 method Methods 0.000 claims abstract description 29
- 238000012360 testing method Methods 0.000 claims abstract description 26
- 238000009826 distribution Methods 0.000 claims abstract description 9
- 238000012544 monitoring process Methods 0.000 claims description 22
- 238000011068 loading method Methods 0.000 claims description 21
- 239000011435 rock Substances 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 13
- 238000012669 compression test Methods 0.000 claims description 10
- 125000004122 cyclic group Chemical group 0.000 claims description 8
- 230000006378 damage Effects 0.000 claims description 7
- 238000002474 experimental method Methods 0.000 claims description 7
- 239000004576 sand Substances 0.000 claims description 7
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 6
- 230000004087 circulation Effects 0.000 claims description 5
- 230000008859 change Effects 0.000 claims description 4
- 230000001351 cycling effect Effects 0.000 claims description 4
- 238000000354 decomposition reaction Methods 0.000 claims description 4
- 241000272517 Anseriformes Species 0.000 claims description 3
- 239000004568 cement Substances 0.000 claims description 3
- 230000006835 compression Effects 0.000 claims description 3
- 238000007906 compression Methods 0.000 claims description 3
- 239000010721 machine oil Substances 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 3
- 230000001939 inductive effect Effects 0.000 claims description 2
- 239000002689 soil Substances 0.000 claims description 2
- 238000004321 preservation Methods 0.000 abstract description 5
- 230000015572 biosynthetic process Effects 0.000 abstract description 3
- 238000003786 synthesis reaction Methods 0.000 abstract description 3
- 239000000523 sample Substances 0.000 description 26
- 238000010586 diagram Methods 0.000 description 3
- 230000001965 increasing effect Effects 0.000 description 3
- 238000002360 preparation method Methods 0.000 description 3
- 230000001066 destructive effect Effects 0.000 description 2
- 230000004069 differentiation Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 239000006101 laboratory sample Substances 0.000 description 1
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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
- G01N3/32—Investigating strength properties of solid materials by application of mechanical stress by applying repeated or pulsating forces
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L1/00—Measuring force or stress, in general
- G01L1/25—Measuring force or stress, in general using wave or particle radiation, e.g. X-rays, microwaves, neutrons
- G01L1/255—Measuring force or stress, in general using wave or particle radiation, e.g. X-rays, microwaves, neutrons using acoustic waves, or acoustic emission
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/38—Concrete; Lime; Mortar; Gypsum; Bricks; Ceramics; Glass
- G01N33/383—Concrete or cement
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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
- G01N2203/0001—Type of application of the stress
- G01N2203/0005—Repeated or cyclic
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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
- G01N2203/0058—Kind of property studied
- G01N2203/006—Crack, flaws, fracture or rupture
- G01N2203/0067—Fracture or rupture
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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
- G01N2203/06—Indicating or recording means; Sensing means
- G01N2203/0658—Indicating or recording means; Sensing means using acoustic or ultrasonic detectors
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Abstract
The class coal petrography stone crustal stress K point test method based on Kaiser effect that the invention discloses a kind of replaces class coal test specimen using undisturbed weak concrete test specimen, to reduce influence caused by primary preservation stress.Acoustic emission signal is acquired simultaneously using two kinds of resonant frequency sensors, Kaiser effect point is primarily determined using 2 representational sound emission time domain parameter synthesis, it tests simultaneously according to the distribution characteristics of its dominant frequency to its accuracy, it is finally verified again in terms of multiband energy-distributing feature, establishes the method that 3 kinds of methods mutually prove, improve test accuracy.
Description
Technical field
The present invention relates to detecting earth stress field more particularly to a kind of class coal petrography stone based on AE Kaiser effect
Stress K point test method.
Background technique
Detecting earth stress method has hydraulic fracturing, stress relief method, strain restoring method, Borehole Breakout Data, sound hair at present
Penetrate Kaiser effect method etc., wherein AE Kaiser effect method have it is simple, intuitive, be easy to the advantages of largely testing, can
Realize the DCO detailed checkout of crustal stress.The key of Kaiser effect measurement crustal stress is the selection of K point, chooses mode original
It constantly brings forth new ideas in parameter selection method, while a large amount of research has been carried out to its validity, and achieve certain achievement.
It is not yet clear whether coal stress suffered during preservation can have an impact AE Kaiser effect, so
In application AE Kaiser effect test crustal stress, the accuracy of its test can not be judged.Therefore using it is undisturbed (or
Power is computable) concrete sample replace coal carry out detecting earth stress research, the accuracy that it is tested can be judged.
Major part achievement mainly destroy to the rock of preservation in the earth's crust complete using single resonant frequency sensor at present
The acquisition of process acoustic emission signal carries out mostly using single parameter to be analyzed when K point determines, due to all kinds of resonant frequency sensors
The otherness of signal and the otherness of each feature distribution parameter of sound emission are acquired, causes result of study to show diversity, gives
The application of AE Kaiser effect test crustal stress brings difficulty.
Summary of the invention
To solve the deficiencies in the prior art support set forth above, the present invention is to provide a kind of based on AE Kaiser effect
The class coal petrography stone crustal stress K point test method answered, the technical solution adopted is as follows:
A kind of class coal petrography stone crustal stress K point test method based on AE Kaiser effect, comprising:
Uniaxial compression test is carried out to class coal rock sample, determines the load peaks of uniaxial compression test, it is right according to load peaks
Class coal rock sample carries out uniaxial compression circulation by the way of load load, until being loaded onto destruction, and in experimentation
It is monitored by acoustic emission system for monitoring, and the acoustic emission signal generated to acoustic emission system for monitoring is acquired;
It analyzes in different cyclic processes, the absolute energy and Ring-down count of the acoustic emission signal of acoustic emission signal acquisition device acquisition
AE Kaiser effect character, while to acoustic emission signal acquisition device acquisition signal carry out Fourier transformation, statistics
Basic frequency of signal value in different cyclic processes;
Respectively according in the AE Kaiser effect character and different cyclic processes of sound emission absolute energy and Ring-down count
Basic frequency of signal value establishes the preliminary foundation for determining K point;
During different CYCLIC LOADINGs, the waveform near K point primarily determined carries out three layers of wavelet packet decomposition, to each frequency band energy
Amount accounting is counted, and the situation of change of each frequency band energy accounting during different CYCLIC LOADINGs is analyzed, to energy accounting
High frequency range is counted, and is analyzed the distribution characteristics of energy at K point, is determined K point.
Wherein, in the step of carrying out uniaxial compression test to class coal rock sample, the class coal rock sample is using not
The concrete sample disturbed replaces being tested.
Wherein, the manufacturing process steps of concrete sample include:
River sand is dried, is sieved using the sieve of 80 mesh, density is measured;
It will uniformly be smeared around die trial with machine oil, cement, the river sand sieved, water then poured into die trial according to the ratio;
Die trial stands one day under normal temperature environment after completing, and demoulding is then numbered;After demoulding, concrete sample is soaked
It ducks in drink, is kept the temperature, control water temperature is 20 DEG C, maintenance to 28d.
Wherein, acoustic emission signal acquisition device is R6 α, NANO30 two kind resonant frequency sensor.
Wherein, during the experiment, sound emission monitoring, the sound are carried out to concrete sample by acoustic emission monitoring system
Launch monitor system is PCI-II, Disp acoustic emission monitoring system, and the two is connected to concrete sample;Wherein, R6 α resonance frequency
Sensor sensing acquires the acoustic emission signal that Disp acoustic emission monitoring system generates, NANO30 resonant frequency sensor inductive pick-up
The acoustic emission signal that PCI-II acoustic emission monitoring system generates.
Wherein, during carrying out uniaxial cycling loading experiment to concrete sample, control mode is loaded using load,
Cycle-index is 4 times, and the load value of each CYCLIC LOADING is 20%, 40%, 60%, the 80% of concrete sample peak load, load
It is all 0.1kN/s with rate of debarkation, until concrete sample is loaded onto destruction.
It is different from the prior art, the class coal petrography stone crustal stress K point provided by the present invention based on AE Kaiser effect
Test method replaces class coal test specimen using undisturbed weak concrete test specimen, to reduce caused by primary preservation stress
It influences.Acoustic emission signal is acquired simultaneously using two kinds of resonant frequency sensors, when using 2 representational sound emissions
Field parameter synthesis primarily determines Kaiser effect point, while testing according to the distribution characteristics of its dominant frequency to its accuracy, most
It is verified again in terms of multiband energy-distributing feature afterwards, establishes the side that test accuracy was mutually proved, improved to 3 kinds of methods
Method.
Detailed description of the invention
Fig. 1 is a kind of class coal petrography stone crustal stress K point test method based on AE Kaiser effect provided by the invention
Flow diagram.
Fig. 2 is a kind of class coal petrography stone crustal stress K point test method based on AE Kaiser effect provided by the invention
Accumulative Ring-down count-absolute energy-time of two kinds of resonance playing card sensors acquisition when middle application load is the 40% of peak load
Curve.
Fig. 3 is a kind of class coal petrography stone crustal stress K point test method based on AE Kaiser effect provided by the invention
Accumulative Ring-down count-absolute energy-time of two kinds of resonance playing card sensors acquisition when middle application load is the 60% of peak load
Curve.
Fig. 4 is a kind of class coal petrography stone crustal stress K point test method based on AE Kaiser effect provided by the invention
Accumulative Ring-down count-absolute energy-time of two kinds of resonance playing card sensors acquisition when middle application load is the 80% of peak load
Curve.
Fig. 5 is a kind of class coal petrography stone crustal stress K point test method based on AE Kaiser effect provided by the invention
When middle apply that load is peak load 100% acquisition of two kinds of resonance playing card sensors it is accumulative Ring-down count-absolute energy-when
Half interval contour.
Fig. 6 is a kind of class coal petrography stone crustal stress K point test method based on AE Kaiser effect provided by the invention
Flow diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.
In the description of the present invention, it is to be understood that, term " on ", "lower", "front", "rear", "left", "right", "top",
The orientation or positional relationship of the instructions such as "bottom", "inner", "outside" is to be based on the orientation or positional relationship shown in the drawings, merely to just
In description the present invention and simplify description, rather than the device or element of indication or suggestion meaning must have a particular orientation, with
Specific orientation construction and operation, therefore be not considered as limiting the invention.
Consult Fig. 1 and Fig. 6, Fig. 1 be a kind of class coal petrography stone based on AE Kaiser effect provided by the invention answer
The flow diagram of power K point test method, Fig. 6 are a kind of class coal petrography stone based on AE Kaiser effect provided by the invention
The logical schematic of crustal stress K point test method.The step of this method includes:
S110: uniaxial compression test is carried out to class coal rock sample, the load peaks of uniaxial compression test are determined, according to load peak
Value, to class coal rock sample using uniaxial compression circulation is carried out by the way of load load, up to being loaded onto destruction, and to testing
It is monitored in journey by acoustic emission system for monitoring, and the acoustic emission signal generated to acoustic emission system for monitoring is acquired.
S120: analyzing in different cyclic processes, the absolute energy of the acoustic emission signal of acoustic emission signal acquisition device acquisition
With the AE Kaiser effect character of Ring-down count, while to acoustic emission signal acquisition device acquisition signal carry out Fourier
Transformation, counts the basic frequency of signal value in different cyclic processes.
S130: the AE Kaiser effect character and different circulations according to sound emission absolute energy and Ring-down count respectively
Basic frequency of signal value in the process establishes the preliminary foundation for determining K point.
S140: during different CYCLIC LOADINGs, the waveform near K point primarily determined carries out three layers of wavelet packet decomposition,
Each frequency band energy accounting is counted, the situation of change of each frequency band energy accounting during different CYCLIC LOADINGs is analyzed,
The frequency range high to energy accounting counts, and analyzes the distribution characteristics of energy at K point, determines K point.
Preferably, in the step of carrying out uniaxial compression test to class coal rock sample, the class coal rock sample is to utilize
Undisturbed concrete sample replaces being tested.
Preferably, the manufacturing process steps of concrete sample include:
River sand is dried, is sieved using the sieve of 80 mesh, density is measured;
It will uniformly be smeared around die trial with machine oil, cement, the river sand sieved, water then poured into die trial according to the ratio;
Die trial stands one day under normal temperature environment after completing, and demoulding is then numbered;After demoulding, concrete sample is soaked
It ducks in drink, is kept the temperature, control water temperature is 20 DEG C, maintenance to 28d.
Preferably, acoustic emission signal acquisition device is R6 α, NANO30 two kind resonant frequency sensor.
Preferably, during the experiment, sound emission monitoring is carried out to concrete sample by acoustic emission monitoring system, it is described
Acoustic emission monitoring system is PCI-II, Disp acoustic emission monitoring system, and the two is connected to concrete sample;Wherein, R6 α resonance frequency
Rate sensor sensing acquires the acoustic emission signal that Disp acoustic emission monitoring system generates, and the induction of NANO30 resonant frequency sensor is adopted
Collect the acoustic emission signal that PCI-II acoustic emission monitoring system generates.
Preferably, during carrying out uniaxial cycling loading experiment to concrete sample, control mode is added using load
It carries, cycle-index is 4 times, and the load value of each CYCLIC LOADING is 20%, 40%, 60%, the 80% of concrete sample peak load, is added
It carries and rate of debarkation is all 0.1kN/s, until concrete sample is loaded onto destruction.
It is 1:4, mixed having a size of 50mm × 50mm × 100mm specifically, prepares dust and sand ratio according to preparation step above-mentioned
Solidifying soil test specimen.Suggestion according to International Society of Rock Mechanics to laboratory sample size, the injustice in prepared test specimen two ends face
Row degree is less than 0.05mm, is polished using SPM-250 double plate wafer lapping machine preparation test specimen two ends, is required with guarantee test.It is logical
Excess pressure machine carries out rock mechanics experiment to it, measures its peak load, and test quantity is no less than 5, and peak value takes its average value,
Its load peaks is 36kN after carrying out uniaxial compression test to same batch test specimen.
Concrete sample is subjected to uniaxial cycling load, control mode is loaded using load, and cycle-index is 4 times, finally
It is loaded onto destruction, the peak load of each CYCLIC LOADING measures 20%, 40%, 60%, the 80% of test specimen peak load before being, adds and unload
Carrying rate is all 0.1kN/s.From entire loaded is loaded into for the first time, it is always on PCI-II, Disp acoustic emission monitor(ing) system
System destructive process is monitored, and in test specimen destructive process using R6 α, NANO30 two kind sensor to acoustic emission signal into
Row acquisition.PCI-II acoustic emission system is connect with NANO30 resonant frequency sensor, Disp acoustic emission system and R6 α resonance frequency
The connection of rate sensor.Every kind of resonant frequency sensor each 2, amount to 4.
Under 40% level conditions of peak load (second of CYCLIC LOADING), first increase according to sound emission absolute energy, then
Enter again like quiet period, while the phenomenon that Ring-down count is slowly increased can be used as K point distinguishing rule, error is less than 10%, and sound
It is Kaiser point that transmitting absolute energy peak point and accumulative Ring-down count curve increase some undecidables suddenly.As shown in Figure 2.NANO30
Have certain interference signal before signal collected K point, R6 α and NANO30 be combined together can effective exclusive PCR, improve quasi-
True property.
Under 60% level conditions of peak load (third time CYCLIC LOADING), R6 α and NANO30 resonant frequency sensor is adopted
It is significantly different to collect signal distributions feature, then can accurately judge K point in conjunction with the general character of the two.Absolute energy can be substantially increased
Add and then reduce again, while Ring-down count curve increases criterion of the phenomenon as K point.As shown in Figure 3.
Under 80% level conditions of peak load (the 4th CYCLIC LOADING), it can choose absolute energy and occur increasing to peak suddenly
It is strongly reduced again after value, the feature that Ring-down count increases suddenly is as the foundation for differentiating K point, and error is less than 10%.As shown in Figure 4.R6
The signal collected Ring-down count of α, absolute energy and NANO30 signal collected have different in distribution characteristics, and R6 α is adopted
It is more to collect the signal absolute energy high level point frequency of occurrences.Compared with third time recycles, to more one both in the rule of K point differentiation
It causes.
Under 100% level conditions of peak load (final load), is rised appreciably with absolute energy and reach first peak value
Point, ring curve start to increase phenomenon to be that criterion can determine that as Kaiser point, and error is sentenced less than 10%, but with R6 α acquisition signal
There is a certain error for other K point, therefore two class sensors is combined the accuracy and reliability that can be improved the differentiation of K point.
As shown in Figure 5.
In entire loading procedure R6 α resonant frequency sensor sound emission dominant frequency collected be mainly distributed on 35-40kHz,
The two sections 100kHz or so, NANO30 resonant frequency sensor signal collected are concentrated mainly on the section 225-250kHz
It is interior, while caning be found that high frequency sensors have equally collected more low dominant frequency signal at load initial stage and before destroying.It makes a general survey of
Entire CYCLIC LOADING process, the main distributed area of acoustic emission signal are included in these three sections.Add in first four times circulations
Load stage, acoustic emission signal dominant frequency are gradually developed from low frequency to high frequency, and in final load, basic frequency of signal is all big in high and low frequency
Amount occurs.Simultaneously it can be found that the point before sound emission dominant frequency can largely being occurred is determined as K point, error is less than 10%, with reason
It coincide substantially by K point.
It is above-mentioned K point is differentiated on the basis of, for analyze each CYCLIC LOADING stage K point signal frequency component difference with
Waveform near each CYCLIC LOADING stage K point is carried out WAVELET PACKET DECOMPOSITION, and carried out to each frequency band energy accounting by the connection of K point
Statistics analyzes the changing rule of each frequency band energy accounting under different loads level, judges K point according to its rule.
Each CYCLIC LOADING stage is consistent for the determination method of K point, i.e., with successive bands at K point energy accounting one high one
Low feature is as the foundation for differentiating K point.For being loaded onto failure stage, for R6 α resonant frequency sensor, energy accounting
Uprushing with the frequency range of rapid drawdown is 0 ~ 62.5kHz and 62.5 ~ 125kHz;For NANO30 resonant frequency sensor, energy accounting is prominent
Increase the frequency range 187.5 ~ 250kHz and 250 ~ 312.5kHz with rapid drawdown.
It is different from the prior art, the class coal petrography stone crustal stress K point provided by the present invention based on AE Kaiser effect
Test method replaces class coal test specimen using undisturbed weak concrete test specimen, to reduce caused by primary preservation stress
It influences.Acoustic emission signal is acquired simultaneously using two kinds of resonant frequency sensors, when using 2 representational sound emissions
Field parameter synthesis primarily determines Kaiser effect point, while testing according to the distribution characteristics of its dominant frequency to its accuracy, most
It is verified again in terms of multiband energy-distributing feature afterwards, establishes the side that test accuracy was mutually proved, improved to 3 kinds of methods
Method.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (6)
1. a kind of class coal petrography stone crustal stress K point test method based on Kaiser effect characterized by comprising
Uniaxial compression test is carried out to class coal rock sample, determines the load peaks of uniaxial compression test, it is right according to load peaks
Class coal rock sample carries out uniaxial compression circulation by the way of load load, until being loaded onto destruction, and in experimentation
It is monitored by acoustic emission system for monitoring, and the acoustic emission signal generated to acoustic emission system for monitoring is acquired;
It analyzes in different cyclic processes, the absolute energy and Ring-down count of the acoustic emission signal of acoustic emission signal acquisition device acquisition
AE Kaiser effect character, while to acoustic emission signal acquisition device acquisition signal carry out Fourier transformation, statistics
Basic frequency of signal value in different cyclic processes;
Respectively according in the AE Kaiser effect character and different cyclic processes of sound emission absolute energy and Ring-down count
Basic frequency of signal value establishes the preliminary foundation for determining K point;
During different CYCLIC LOADINGs, the waveform near K point primarily determined carries out three layers of wavelet packet decomposition, to each frequency band energy
Amount accounting is counted, and the situation of change of each frequency band energy accounting during different CYCLIC LOADINGs is analyzed, to energy accounting
High frequency range is counted, and is analyzed the distribution characteristics of energy at K point, is determined K point.
2. the class coal petrography stone crustal stress K point test method according to claim 1 based on Kaiser effect, feature exist
In in the step of carrying out uniaxial compression test to class coal rock sample, the class coal rock sample is using undisturbed mixed
Solidifying soil test specimen replaces being tested.
3. the class coal petrography stone crustal stress K point test method according to claim 2 based on Kaiser effect, feature exist
In the manufacturing process steps of concrete sample include:
River sand is dried, is sieved using the sieve of 80 mesh, density is measured;
It will uniformly be smeared around die trial with machine oil, cement, the river sand sieved, water then poured into die trial according to the ratio;
Die trial stands one day under normal temperature environment after completing, and demoulding is then numbered;After demoulding, concrete sample is soaked
It ducks in drink, is kept the temperature, control water temperature is 20 DEG C, maintenance to 28d.
4. the class coal petrography stone crustal stress K point test method according to claim 1 based on Kaiser effect, feature exist
In acoustic emission signal acquisition device is R6 α, NANO30 two kind resonant frequency sensor.
5. the class coal petrography stone crustal stress K point test method according to claim 4 based on Kaiser effect, feature exist
During the experiment, by acoustic emission monitoring system to concrete sample progress sound emission monitoring, the acoustic emission monitor(ing) system
System is PCI-II, Disp acoustic emission monitoring system, and the two is connected to concrete sample;Wherein, R6 α resonant frequency sensor incudes
Acquire the acoustic emission signal that Disp acoustic emission monitoring system generates, NANO30 resonant frequency sensor inductive pick-up PCI-II sound hair
Penetrate the acoustic emission signal of monitoring system generation.
6. the class coal petrography stone crustal stress K point test method according to claim 1 based on Kaiser effect, feature exist
During carrying out uniaxial cycling loading experiment to concrete sample, control mode is loaded using load, and cycle-index is
4 times, the load value of each CYCLIC LOADING is 20%, 40%, 60%, the 80% of concrete sample peak load, load and rate of debarkation
It is all 0.1kN/s, until concrete sample is loaded onto destruction.
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