CN202300529U - Slight shock monitoring sensor arrangement structure in deeply buried long tunnel boring machine (TBM) tunneling process - Google Patents
Slight shock monitoring sensor arrangement structure in deeply buried long tunnel boring machine (TBM) tunneling process Download PDFInfo
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- CN202300529U CN202300529U CN 201120380491 CN201120380491U CN202300529U CN 202300529 U CN202300529 U CN 202300529U CN 201120380491 CN201120380491 CN 201120380491 CN 201120380491 U CN201120380491 U CN 201120380491U CN 202300529 U CN202300529 U CN 202300529U
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Abstract
The utility model relates to a slight shock monitoring sensor arrangement structure in a deeply buried long tunnel boring machine (TBM) tunneling process. The utility model aims to form a high-efficiency slight shock monitoring network by reasonably arranging the position of sensors. The aim of improving the positioning precision of a slight shock event is achieved by effectively acquiring slight shock signals in a range within over 10 meters in front of and behind a tunnel face. The utility model adopts the technical scheme that: the slight shock monitoring sensor arrangement structure comprises eight slight shock sensors, wherein the three sensor monitoring cross sections are arranged in an excavated tunnel behind the tunnel face; three slight shock sensors are arranged on the first monitoring cross section and the first monitoring cross section is 1 to 2 times the tunnel diameter from the tunnel face; two slight shock sensors are arranged on the second monitoring cross section and the second monitoring cross section is 4.5 to 5 times the tunnel diameter from the first monitoring cross section; and three slight shock sensors are arranged on the third monitoring cross section and the third monitoring cross section is 4.5 to 5 times the tunnel diameter from the second monitoring cross section. The slight shock monitoring sensor arrangement structure is suitable for rock explosion prediction of a deeply buried hard rock tunnel excavated by a TBM.
Description
Technical field
The utility model relates to microseismic monitoring sensor arrangement in a kind of buried long tunnel TBM tunneling process, is mainly used in the rock burst prediction of the buried hard rock tunnel of TBM driving.
Background technology
Break (the relative dislocation of the micro rupture of intact rock, solid structure face etc.) of brittle rock mass all can produce elastic wave; These ripples can be mounted within the specific limits kinetic sensors (like calibrate AE sensor or microseismic sensors) reception, wherein the elastic wave of certain frequency range is called as the shock wave of microseism.The shocking waveshape that utilizes a plurality of sensors to receive just can obtain the moment, position and the character that rock mass breaks and takes place through certain decomposition method.The shock wave that sensor is received also is commonly referred to a microseismic event in engineering, corresponding earthquake magnitude is the main description index of test specimen size.For the non-plastic fracture problem in the buried underground construction, micro seismic monitoring is the important means of country rock safe early warning.
Micro rupture (microseism) monitoring technology is a kind of space " body " information measurement technology, compares other traditional spaces " point " and measures monitoring technology, and have its unique advantage: 1. it can directly confirm the position and the character of rock mass internal rupture; 2. because it is to receive the shock wave information break and bring out, and its sensor can be laid in the zone away from the rock mass destructible, can guarantees the monitoring system long-time running and be not destroyed; 3. its monitoring range can cover very big zone; 4. also be most important information, can catch the preceding micro rupture omen of rock mass unstable failure.
In the tunneling process of buried hard rock tunnel, rock burst is to TBM equipment and the maximum surrounding rock failure form of personnel's construction safety harm.In case TBM meets with strong and strong rock burst on active, the time that often need spend a few days and even several weeks is carried out the scarfing cinder processing to the rock burst position, so that let TBM recover the driving condition.To the high construction risk of TBM under potential strong rock burst condition, the rock burst forecasting and warning in the tunneling process obviously has important value.But; The micro seismic monitoring technology only is widely used in nuke rubbish storage underground chamber, buried underground mine, high precipitous rock slope at present; The common trait of these engineerings is that sensor can form space " parcel " to the monitored site, and then for accurately forecasting working foundation is provided.Micro seismic monitoring to the driving of buried long tunnel is more rare, and the micro seismic monitoring of the buried long tunnel of TBM construction then lacks case more, and therefore its reason has influenced the forecast precision of rock burst to a great extent disturbing all greatlyyer with positioning accuracy and construction.
Summary of the invention
The technical problem that the utility model will solve is: the problem to above-mentioned existence provides microseismic monitoring sensor arrangement in a kind of buried long tunnel TBM tunneling process; Form efficient micro seismic monitoring network through the position of reasonable Arrangement sensor; Effectively gather the microseismic signals of the tens of meters scopes in tunnel face front and back, to reach the purpose of the positioning accuracy that improves microseismic event.
The technical scheme that the utility model adopted is: microseismic monitoring sensor arrangement in the buried long tunnel TBM tunneling process; It is characterized in that: it comprises eight microseismic sensors, is divided into three sensor monitors sections and is arranged in the tunnel excavation at face rear; Wherein arrange three microseismic sensors on first monitoring section; And apart from footpath, 1～2 times of hole of face; Arrange two microseismic sensors on second monitoring section; And three microseismic sensors are arranged in footpath, 4.5～5 times of holes of distance first monitoring section on the 3rd monitoring section, and footpath, 4.5～5 times of holes of distance second monitoring section.
Three microseismic sensors on said first monitoring section lay respectively at the waist of tunnel top centre and both sides; Two microseismic sensors on second monitoring section are symmetrically arranged in the spandrel place, both sides of tunnel respectively, and the arrangement of three microseismic sensors on the 3rd monitoring section is identical with first monitoring section.
Said each microseismic sensors fitting depth is 50-100cm.
The beneficial effect of the utility model is: the utility model in the tunnel excavation at face rear, be divided into three sensor monitors sections and arrange eight microseismic sensors; Wherein respectively arrange three microseismic sensors with two sections farthest recently apart from face; Middle section is then arranged two; Form an efficient micro seismic monitoring network; Can gather the microseismic signals of the tens of meters scopes in tunnel face front and back effectively, improve the positioning accuracy of microseismic event greatly, thereby improved the accuracy of rock burst forecasting and warning.
Description of drawings
Fig. 1 is the plane structure sketch map of the utility model.
Fig. 2 is the first monitoring section arrangement diagram in the utility model.
Fig. 3 is the second monitoring section arrangement diagram in the utility model.
Fig. 4 is the 3rd a monitoring section arrangement diagram in the utility model.
The specific embodiment
As shown in Figure 1, present embodiment comprises eight microseismic sensors 1 altogether, and divides in the tunnel excavation 3 that three sensor monitors sections are arranged in face 2 rears; Wherein first monitoring section (I-I section among the figure) is gone up and is arranged three microseismic sensors 1; And apart from footpath, 1～2 times of hole of face; Second monitoring section (II-II section among the figure) is gone up and is arranged two microseismic sensors 1; And footpath, 4.5～5 times of holes of distance first monitoring section, the 3rd monitoring section (III-III section among the figure) is gone up and is arranged three microseismic sensors 1, and footpath, 4.5～5 times of holes of distance second monitoring section.
Like Fig. 2-shown in Figure 4, three microseismic sensors 1 on said first monitoring section lay respectively at the waist of tunnel 3 top centres and both sides, and two microseismic sensors 1 that wherein are positioned at waist are symmetrically arranged in tunnel 3 both sides; Two microseismic sensors 1 on second monitoring section are symmetrically arranged in the spandrel place, both sides of tunnel 3 respectively, and the arrangement of three microseismic sensors 1 on the 3rd monitoring section is identical with first monitoring section.When microseismic sensors 1 is installed, need to adopt jumbolter to hole earlier, so that microseismic sensors 1 is installed, generally speaking the fitting depth of microseismic sensors 1 need be apart from hole wall 50cm-100cm.
The step of present embodiment in practical application is following:
A, select ASC Microseismic monitoring system and InSite interpretation software for use and hardware device is carried out degree of depth customization.Equipment after the customization should possess following technical characterstic: 1, make up the full-automatic data collecting system by interpretation software InSite driving, soft-hardware integrationization, adapt to the needs of TBM driving tunnel micro seismic monitoring; 2, select the sampling territory that reaches as high as 10MHz, the microseism equipment of unit 16 passages for use, the sampling rate of every passage up to 60 times/second guarantees that deep-lying tunnel can monitor the little microseismic event of high density that the strain type rock burst possibly exist; 3, unit 16 passages cover 2 work planes, 8 sensors of every work plane satisfy necessary positioning accuracy request; 4, multichannel User Defined excitation apparatus helps to eliminate automatically the different frequency noises interference in the deep-lying tunnel TBM tunneling process; 5, built-in automatic rebooting device satisfies the later system of fault such as on-the-spot powers failure and restarts needs automatically, and assurance obtains data to greatest extent.
B, employing TBM tunnel; After getting into potential rock burst hole section; Adopt the jumbolter in TBM equipment L1 zone (this zone is positioned at TBM head rear, and the workman operates jumbolter, the installation of net sheet, sprayed mortar all in this zone) to hole, so that microseismic sensors 1 is installed.
C, according to aforementioned arrangement arranged in form microseismic sensors 1, form the micro seismic monitoring network at TBM face 2 rears.
D, accept achievement, adopt the InSite interpretation software that the microseismic event of monitoring is carried out decipher according to three monitoring sections at face 2 rears, the elastic wave of eight microseismic sensors 1.
E, separate when the monitoring achievement and to translate face 2 the place aheads when having higher medium rock burst and strong rock burst risk, TBM equipment need strengthen temporary lining to reach the effect of control rock burst in the L1 zone.
Claims (3)
1. microseismic monitoring sensor arrangement in the buried long tunnel TBM tunneling process, it is characterized in that: it comprises eight microseismic sensors (1), is divided into three sensor monitors sections and is arranged in the tunnel excavation (3) at face (2) rear; Wherein arrange three microseismic sensors (1) on first monitoring section; And apart from footpath, (2) 1～2 times of holes of face; Arrange two microseismic sensors (1) on second monitoring section; And three microseismic sensors (1) are arranged in footpath, 4.5～5 times of holes of distance first monitoring section on the 3rd monitoring section, and footpath, 4.5～5 times of holes of distance second monitoring section.
2. microseismic monitoring sensor arrangement in the buried long tunnel TBM tunneling process according to claim 1; It is characterized in that: three microseismic sensors (1) on said first monitoring section lay respectively at the waist of tunnel (3) top centre and both sides; Two microseismic sensors (1) on second monitoring section are symmetrically arranged in the spandrel place, both sides of tunnel (3) respectively, and the arrangement of three microseismic sensors (1) on the 3rd monitoring section is identical with first monitoring section.
3. microseismic monitoring sensor arrangement in the buried long tunnel TBM tunneling process according to claim 1 and 2, it is characterized in that: said each microseismic sensors (1) fitting depth is 50-100cm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201120380491 CN202300529U (en) | 2011-10-10 | 2011-10-10 | Slight shock monitoring sensor arrangement structure in deeply buried long tunnel boring machine (TBM) tunneling process |
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| Application Number | Priority Date | Filing Date | Title |
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| CN 201120380491 CN202300529U (en) | 2011-10-10 | 2011-10-10 | Slight shock monitoring sensor arrangement structure in deeply buried long tunnel boring machine (TBM) tunneling process |
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| CN 201120380491 Expired - Lifetime CN202300529U (en) | 2011-10-10 | 2011-10-10 | Slight shock monitoring sensor arrangement structure in deeply buried long tunnel boring machine (TBM) tunneling process |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103278843A (en) * | 2013-06-05 | 2013-09-04 | 北方重工集团有限公司 | Rockburst real-time forecasting technique device used in process of rock tunnel construction |
| CN103726851A (en) * | 2014-01-13 | 2014-04-16 | 中国科学院武汉岩土力学研究所 | Excavation method capable of lowering rockburst risk of deep tunnel in process of passing through fault area |
| CN103744112A (en) * | 2014-01-13 | 2014-04-23 | 中国科学院武汉岩土力学研究所 | Tunnel microearthquake monitoring sensor arrangement and data collecting instrument connecting method |
| CN103760595A (en) * | 2014-01-13 | 2014-04-30 | 中国科学院武汉岩土力学研究所 | Method for arranging microquake real-time monitoring sensors in large-diameter surge shaft excavation process |
| CN103777235A (en) * | 2014-01-13 | 2014-05-07 | 中国科学院武汉岩土力学研究所 | Microseismic-monitoring-sensor arrangement method for stratified excavation of deeply-buried hard-rock tunnel |
| CN105467436A (en) * | 2015-12-17 | 2016-04-06 | 东北大学 | Method for arranging micro-shock sensors in construction of ultra-deep vertical shaft |
| CN108798690A (en) * | 2018-06-01 | 2018-11-13 | 中国科学院武汉岩土力学研究所 | Realize the combination type T BM and geology detecting driving method of geology detecting |
| CN109343111A (en) * | 2018-09-30 | 2019-02-15 | 中国科学院武汉岩土力学研究所 | A kind of long range TBM tunnel rock burst micro seismic monitoring method under interbedding of soft and hard rocks geological conditions |
| CN110333531A (en) * | 2019-07-16 | 2019-10-15 | 中国科学院武汉岩土力学研究所 | A kind of fine method for early warning in high-energy environment constructing tunnel rock burst position |
| CN111125872A (en) * | 2019-11-11 | 2020-05-08 | 中铁隧道局集团有限公司 | Rock burst prediction method for TBM tunneling tunnel |
-
2011
- 2011-10-10 CN CN 201120380491 patent/CN202300529U/en not_active Expired - Lifetime
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103278843A (en) * | 2013-06-05 | 2013-09-04 | 北方重工集团有限公司 | Rockburst real-time forecasting technique device used in process of rock tunnel construction |
| CN103278843B (en) * | 2013-06-05 | 2016-03-23 | 北方重工集团有限公司 | Rock burst real-time prediction technique device in rock tunnel work progress |
| CN103760595B (en) * | 2014-01-13 | 2015-07-22 | 中国科学院武汉岩土力学研究所 | Method for arranging microquake real-time monitoring sensors in large-diameter surge shaft excavation process |
| CN103760595A (en) * | 2014-01-13 | 2014-04-30 | 中国科学院武汉岩土力学研究所 | Method for arranging microquake real-time monitoring sensors in large-diameter surge shaft excavation process |
| CN103777235A (en) * | 2014-01-13 | 2014-05-07 | 中国科学院武汉岩土力学研究所 | Microseismic-monitoring-sensor arrangement method for stratified excavation of deeply-buried hard-rock tunnel |
| CN103726851B (en) * | 2014-01-13 | 2015-07-15 | 中国科学院武汉岩土力学研究所 | Excavation method capable of lowering rockburst risk of deep tunnel in process of passing through fault area |
| CN103744112A (en) * | 2014-01-13 | 2014-04-23 | 中国科学院武汉岩土力学研究所 | Tunnel microearthquake monitoring sensor arrangement and data collecting instrument connecting method |
| CN103726851A (en) * | 2014-01-13 | 2014-04-16 | 中国科学院武汉岩土力学研究所 | Excavation method capable of lowering rockburst risk of deep tunnel in process of passing through fault area |
| CN103744112B (en) * | 2014-01-13 | 2017-01-18 | 中国科学院武汉岩土力学研究所 | Tunnel microearthquake monitoring sensor arrangement and data collecting instrument connecting method |
| CN105467436A (en) * | 2015-12-17 | 2016-04-06 | 东北大学 | Method for arranging micro-shock sensors in construction of ultra-deep vertical shaft |
| CN108798690A (en) * | 2018-06-01 | 2018-11-13 | 中国科学院武汉岩土力学研究所 | Realize the combination type T BM and geology detecting driving method of geology detecting |
| CN109343111A (en) * | 2018-09-30 | 2019-02-15 | 中国科学院武汉岩土力学研究所 | A kind of long range TBM tunnel rock burst micro seismic monitoring method under interbedding of soft and hard rocks geological conditions |
| CN110333531A (en) * | 2019-07-16 | 2019-10-15 | 中国科学院武汉岩土力学研究所 | A kind of fine method for early warning in high-energy environment constructing tunnel rock burst position |
| CN111125872A (en) * | 2019-11-11 | 2020-05-08 | 中铁隧道局集团有限公司 | Rock burst prediction method for TBM tunneling tunnel |
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| CX01 | Expiry of patent term |
Granted publication date: 20120704 |