CN105403623A - Extraction method for sound emission main frequency of rock under single-axis compression condition - Google Patents
Extraction method for sound emission main frequency of rock under single-axis compression condition Download PDFInfo
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- CN105403623A CN105403623A CN201510741248.8A CN201510741248A CN105403623A CN 105403623 A CN105403623 A CN 105403623A CN 201510741248 A CN201510741248 A CN 201510741248A CN 105403623 A CN105403623 A CN 105403623A
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Abstract
The invention belongs to the field of sound emission detection and relates to an extraction method for sound emission main frequency of a rock under a single-axis compression condition. The extraction method comprises the following steps: preparing the rock into a cubic test sample; sticking a sound emission sensor on the prepared cubic test sample; applying loads on the test sample by using a rock mechanics testing machine; receiving a sound emission signal generated by inner damages of the test sample by using the sound emission sensor; synchronously monitoring a cracking process of the test sample by using a sound emission monitoring system in real time in a testing process; carrying out rapid Fourier transform on the sound emission signal received by the last step to obtain a two-dimensional spectrogram; collecting all sound emission waveform signals in a whole process from loading to damaging and carrying out Fourier transform on all waveforms to obtain main frequency information with different moments; and drawing a relation curve of the loads, the main frequency and time. According to the extraction method provided by the invention, the main frequency of the sound emission signal is extracted by using the rapid Fourier transform; the extraction method is simple and efficient, and is easy to popularize; and the extraction method can be used for acquiring main frequency information in all directions in a rock catastrophe process.
Description
Technical field
The invention belongs to acoustic emission detection field, relate to the extracting method of a kind of rock acoustic emission dominant frequency under Uniaxial Compression.
Background technology
Acoustic emission (AcousticEmission, being called for short AE) technology utilizes in process of rock deformation, the ultrasound information of the Frictional Slipping institute radiation between the generation of internal rupture and the plane of fracture, continuously observe the dynamic evolution of the inner micro rupture of rock material, the micromechanism carry out study of rocks distortion with this, destroying.Play an important role in the stability study of rock mass, be widely used in the damage study of the materials such as study of rocks.In the last few years, scholars started to study from the angle of acoustic emission wave analysis of spectrum rock burst genesis mechanism, sought the sufficient and necessary condition of rock burst.Acoustic emission waveform carries the full details such as rock stress, structure, physico-mechanical properties, analyzes spectral information and better can understand rock failure mechanism of rock mechanism and destroy omen.
How for the feature of Rock Acoustic Emission Signal, utilize spectrum analysis technique accurate and effective to extract the frequecy characteristic of acoustic emission signal, determine that acoustic emission signal dominant frequency seems particularly important.But up to the present, also not yet form clear and definite suggesting method in the world to determine the dominant frequency of Rock Acoustic Emission Signal.
Summary of the invention
The invention provides a kind of rock acoustic emission dominant frequency extracting method under Uniaxial Compression.
The technical solution used in the present invention is as follows:
A kind of rock acoustic emission dominant frequency extracting method under Uniaxial Compression, is characterized in that, carry out as follows:
A, rock is prepared into rectangular parallelepiped sample;
B, calibrate AE sensor is attached on the rectangular parallelepiped sample for preparing;
C, utilize rock mechanics experiment machine to sample imposed load, the acoustic emission signal utilizing calibrate AE sensor to receive sample internal injury to produce, adopts acoustic emission monitoring system real-time synchronization to monitor the rupture process of sample in process of the test;
D, utilizing acoustic emission spectrum analytic system, carrying out Fast Fourier Transform (FFT) to receiving acoustic emission signal in step c, obtain 2-d spectrum figure; The frequency that in 2-d spectrum figure, maximum amplitude is corresponding is the dominant frequency of this acoustic emission;
E, collection sample are from being loaded into the whole acoustic emission waveform signals destroying whole process, Fourier transform conversion is carried out to all waveforms, obtain not dominant frequency information in the same time, draw load, dominant frequency and the relation curve of time, utilize dominant frequency to be described Rock Under Uniaxial Compression compressive damage characteristic.
The present invention obtains the acoustic emission signal dominant frequency of rock under Uniaxial Compression to provide a kind of new method, and its advantage is as follows: the method utilizes Fast Fourier Transform (FFT) to extract the dominant frequency of acoustic emission signal, simply efficiently, is easy to promote; The method can realize carrying out Fast Fourier Transform (FFT) to all acoustic emission waveforms of rock Catastrophe Process, obtains the omnibearing dominant frequency information of rock Catastrophe Process.
Preferred version of the present invention is:
In step a, rock selects grouan, Irish touchstone or gangue.
In step a, sample is of a size of the rectangular parallelepiped of 50mm × 50mm × 100mm, and sample both ends of the surface irregularity degree error is less than 0.05mm, is less than 0.3mm along height two opposite side error in lengths.
In step b, calibrate AE sensor is R6a type resonant mode high sensor, and its frequency of operation is 35 ~ 100kHz.
Between sensor and sample, vaseline is scribbled when testing in step b.
In step c, rock mechanics experiment machine is microcomputer controlled electro-hydraulic servo rock mechanics experiment machine.
In step c, uniaxial compression test adopts and axially waits displacement-control mode to load, and is first preloaded into 1.5KN, is loaded on destruction subsequently with the speed of 0.2mm/min.
Sensor setting is on two opposite faces of sample.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of acoustic emission dominant frequency extracting method under a kind of Rock Under Uniaxial Compression contractive condition provided by the invention.
Fig. 2 is the location drawing of calibrate AE sensor under Uniaxial Compression in the present invention.
Fig. 3 is experimental field figure under Uniaxial Compression in the present invention.
Fig. 4 is the original acoustic emission waveform signal graph in the present invention in a certain acoustic emission signal dominant frequency leaching process figure.
Fig. 5 carries out Fast Fourier Transform (FFT) to waveform signal in the present invention in a certain acoustic emission signal dominant frequency leaching process figure, obtains the 2-d spectrum figure of this signal.
Fig. 6 is grouan load, dominant frequency and the graph of relation of time under Uniaxial Compression in the present invention.
Fig. 7 is Irish touchstone load, dominant frequency and the graph of relation of time under Uniaxial Compression in the present invention.
Fig. 8 is gangue load, dominant frequency and the graph of relation of time under Uniaxial Compression in the present invention.
Embodiment
Below in conjunction with drawings and Examples, the present invention is further detailed explanation.
As shown in Figure 1, acoustic emission dominant frequency extracting method under a kind of Rock Under Uniaxial Compression contractive condition, carries out successively as follows:
Step a: be prepared into standard rectangular parallelepiped sample by needing the rock of test.
Grouan, Irish touchstone and gangue is selected to be respectively 1,2, No. 3 for test specimen, grouan, Irish touchstone and gangue take from Laizhou, Shandong, Inner Mongol Chifeng and mining area, Tangshan respectively, and the standard rectangular parallelepiped sample being prepared into 50mm × 50mm × 100mm is some and number.
Step b: as shown in Figure 2, places sample, fixed sound emission sensor.
Be arranged on by test specimen on the sample bench 1 of pressing machine, in the middle part of this sample 2, installing 2 calibrate AE sensors, 3, two calibrate AE sensors be placed on two opposite faces of sample 2, is left and right two opposite faces as shown in FIG..
Between calibrate AE sensor 3 and sample, coat vaseline 4 during test, both enhancings coupling, reduce the decay of acoustic emission signal.
Calibrate AE sensor 3 and Acoustic radiating instrument 5 connection, Acoustic radiating instrument 5 and acoustic emission detection are that 6 systems are connected.Sample bench 1 is connected with switch board 7 by circuit.
Step c: as shown in Figure 3.Adopt pressing machine to carry out uniaxial loading to test specimen, gather rock sample and to break the acoustic emission signal of overall process.
The loading system adopted in test is that Chaoyang, Changchun test apparatus company limited produces TAW – 3000 servo rock mechanics experiment machine, uniaxial loading adopts and axially waits displacement-control mode to load, for ensureing that sample contacts completely with loading surface, the contact noise produced when contacting is avoided to affect acoustic emission monitor(ing) result, first be preloaded into 1.5KN, be loaded on destruction with the speed of 0.2mm/min subsequently.Adopt acoustic emission monitoring system real-time synchronization to monitor the rupture process of sample in process of the test, acoustic emission monitor(ing) is the PCI – 2 type multiple channel acousto launch monitor system that American Physical acoustics company PAC produces.
Steps d: based on matlab platform, the acoustic emission spectrum analytic system worked out, extracts the dominant frequency of acoustic emission signal.For No. 3 gangue samples acoustic emission No. 5408 waveform, acoustic emission signal dominant frequency leaching process is described.Based on matlab platform, establishment acoustic emission spectrum analytic system, extracts original acoustic emission waveform signal, as shown in Figure 4.Fast Fourier Transform (FFT) (FFT) is carried out to waveform signal, obtains 2-d spectrum figure, as shown in Figure 5.Definition dominant frequency is the frequency in 2-d spectrum figure corresponding to maximum amplitude.Observe this waveform 2-d spectrum figure, its dominant frequency known is 37.11kHz.
Step e: as shown in Fig. 6, Fig. 7 and Fig. 8, carries out Fast Fourier Transform (FFT) to all acoustic emission signals of rock failure mechanism of rock process, draws the whole destructive process load of rock sample, dominant frequency and time curve.
According to steps d acquired results, select sample from being loaded into the whole acoustic emission waveform signals destroying whole process, Fast Fourier Transform (FFT) is carried out to all waveforms, obtain not dominant frequency information in the same time, draw load, dominant frequency and the relation curve of time, utilize dominant frequency to be described Rock Under Uniaxial Compression compressive damage characteristic.
The present embodiment is that proposition utilizes Fast Fourier Transform (FFT) method to obtain acoustic emission signal dominant frequency, discloses rock Catastrophe Process acoustic emission frequency domain variation characteristic further, for providing a new thinking from frequency spectrum angle analysis rock Catastrophe Process.
Claims (8)
1. rock acoustic emission dominant frequency extracting method under Uniaxial Compression, is characterized in that, carry out as follows:
A, rock is prepared into rectangular parallelepiped sample;
B, calibrate AE sensor is attached on the rectangular parallelepiped sample for preparing;
C, utilize rock mechanics experiment machine to sample imposed load, the acoustic emission signal utilizing calibrate AE sensor to receive sample internal injury to produce, adopts acoustic emission monitoring system real-time synchronization to monitor the rupture process of sample in process of the test;
D, utilizing acoustic emission spectrum analytic system, carrying out Fast Fourier Transform (FFT) to receiving acoustic emission signal in step c, obtain 2-d spectrum figure; The frequency that in 2-d spectrum figure, maximum amplitude is corresponding is the dominant frequency of this acoustic emission;
E, collection sample are from being loaded into the whole acoustic emission waveform signals destroying whole process, Fourier transform conversion is carried out to all waveforms, obtain not dominant frequency information in the same time, draw load, dominant frequency and the relation curve of time, utilize dominant frequency to be described Rock Under Uniaxial Compression compressive damage characteristic.
2. rock according to claim 1 acoustic emission dominant frequency extracting method under Uniaxial Compression, it is characterized in that, in step a, rock selects grouan, Irish touchstone or gangue.
3. rock according to claim 1 acoustic emission dominant frequency extracting method under Uniaxial Compression, it is characterized in that, in step a, sample is of a size of the rectangular parallelepiped of 50mm × 50mm × 100mm, and sample both ends of the surface irregularity degree error is less than 0.05mm, is less than 0.3mm along height two opposite side error in lengths.
4. rock according to claim 1 acoustic emission dominant frequency extracting method under Uniaxial Compression, is characterized in that, in step b, calibrate AE sensor is R6 α type resonant mode high sensor, and its frequency of operation is 35 ~ 100kHz.
5. rock according to claim 1 acoustic emission dominant frequency extracting method under Uniaxial Compression, is characterized in that,
Between sensor and sample, vaseline is scribbled when testing in step b.
6. rock according to claim 1 acoustic emission dominant frequency extracting method under Uniaxial Compression, is characterized in that, in step c, rock mechanics experiment machine is microcomputer controlled electro-hydraulic servo rock mechanics experiment machine.
7. rock according to claim 1 acoustic emission dominant frequency extracting method under Uniaxial Compression, it is characterized in that, in step c, uniaxial compression test adopts and axially waits displacement-control mode to load, and is first preloaded into 1.5kN, is loaded on destruction subsequently with the speed of 0.2mm/min.
8. rock according to claim 5 acoustic emission dominant frequency extracting method under Uniaxial Compression, is characterized in that, sensor setting is on two opposite faces of sample.
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Cited By (12)
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| CN105928853A (en) * | 2016-04-14 | 2016-09-07 | 中国科学院武汉岩土力学研究所 | Method for examining water blocking effect of cracked surrounding rocks of tunnels after grouting |
| CN106769393A (en) * | 2016-12-09 | 2017-05-31 | 东北大学 | A kind of Rock Mechanics Test method of firm power loading |
| CN106979888A (en) * | 2017-03-21 | 2017-07-25 | 华北理工大学 | Study the test apparatus and test method of ore pillar digging process obturation carrying mechanism |
| CN109100247A (en) * | 2018-07-18 | 2018-12-28 | 太原理工大学 | Class coal petrography stone crustal stress K point test method based on Kaiser effect |
| CN109115888A (en) * | 2018-09-03 | 2019-01-01 | 太原理工大学 | A kind of selection method of acoustic emission probe type |
| CN109696479A (en) * | 2019-01-28 | 2019-04-30 | 四川大学 | A kind of asymmetric arrangement acoustic emission test system and method for cuboid sample |
| CN109991315A (en) * | 2018-07-31 | 2019-07-09 | 安徽理工大学 | A kind of sound emission method and system differentiating engineering site different layers position lithology |
| CN111238940A (en) * | 2020-03-23 | 2020-06-05 | 江西理工大学 | Method and system for quantitatively identifying accelerated creep stage of rock by acoustic emission signal |
| CN113092591A (en) * | 2021-03-15 | 2021-07-09 | 山东科技大学 | Method for extracting acoustic emission dominant frequency of rock under uniaxial heating condition |
| CN113324832A (en) * | 2021-04-28 | 2021-08-31 | 东南大学 | Acoustic emission characteristic-based method for identifying micro-mechanical behavior between particles |
| CN114062109A (en) * | 2021-11-24 | 2022-02-18 | 昆明理工大学 | Rock destruction acoustic emission frequency dominant frequency identification and extraction method |
| CN116642750A (en) * | 2023-07-24 | 2023-08-25 | 长江三峡集团实业发展(北京)有限公司 | Rock strain localization starting time prediction method, device and equipment |
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Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105928853A (en) * | 2016-04-14 | 2016-09-07 | 中国科学院武汉岩土力学研究所 | Method for examining water blocking effect of cracked surrounding rocks of tunnels after grouting |
| CN105928853B (en) * | 2016-04-14 | 2019-04-02 | 中国科学院武汉岩土力学研究所 | It is a kind of examine tunnel broken surrounding rock grouting after block-water effect test method |
| CN106769393A (en) * | 2016-12-09 | 2017-05-31 | 东北大学 | A kind of Rock Mechanics Test method of firm power loading |
| CN106769393B (en) * | 2016-12-09 | 2019-06-25 | 东北大学 | A kind of Rock Mechanics Test method of firm power load |
| CN106979888A (en) * | 2017-03-21 | 2017-07-25 | 华北理工大学 | Study the test apparatus and test method of ore pillar digging process obturation carrying mechanism |
| CN109100247A (en) * | 2018-07-18 | 2018-12-28 | 太原理工大学 | Class coal petrography stone crustal stress K point test method based on Kaiser effect |
| CN109100247B (en) * | 2018-07-18 | 2020-11-27 | 太原理工大学 | Coal-like rock ground stress K point testing method based on Kaiser effect |
| CN109991315A (en) * | 2018-07-31 | 2019-07-09 | 安徽理工大学 | A kind of sound emission method and system differentiating engineering site different layers position lithology |
| CN109115888A (en) * | 2018-09-03 | 2019-01-01 | 太原理工大学 | A kind of selection method of acoustic emission probe type |
| CN109696479A (en) * | 2019-01-28 | 2019-04-30 | 四川大学 | A kind of asymmetric arrangement acoustic emission test system and method for cuboid sample |
| CN109696479B (en) * | 2019-01-28 | 2024-04-16 | 四川大学 | Acoustic emission test system and method for asymmetric arrangement of cuboid samples |
| CN111238940A (en) * | 2020-03-23 | 2020-06-05 | 江西理工大学 | Method and system for quantitatively identifying accelerated creep stage of rock by acoustic emission signal |
| CN113092591A (en) * | 2021-03-15 | 2021-07-09 | 山东科技大学 | Method for extracting acoustic emission dominant frequency of rock under uniaxial heating condition |
| CN113324832A (en) * | 2021-04-28 | 2021-08-31 | 东南大学 | Acoustic emission characteristic-based method for identifying micro-mechanical behavior between particles |
| CN113324832B (en) * | 2021-04-28 | 2022-03-11 | 东南大学 | Acoustic emission characteristic-based method for identifying micro-mechanical behavior between particles |
| CN114062109A (en) * | 2021-11-24 | 2022-02-18 | 昆明理工大学 | Rock destruction acoustic emission frequency dominant frequency identification and extraction method |
| CN114062109B (en) * | 2021-11-24 | 2024-04-16 | 昆明理工大学 | Rock damage acoustic emission secondary main frequency identification extraction method |
| CN116642750A (en) * | 2023-07-24 | 2023-08-25 | 长江三峡集团实业发展(北京)有限公司 | Rock strain localization starting time prediction method, device and equipment |
| CN116642750B (en) * | 2023-07-24 | 2023-10-20 | 长江三峡集团实业发展(北京)有限公司 | Rock strain localization starting time prediction method, device and equipment |
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