AU2020409772A1 - Forecasting system and method for fault fracture zone of tbm tunnel based on rock mineral analysis - Google Patents
Forecasting system and method for fault fracture zone of tbm tunnel based on rock mineral analysis Download PDFInfo
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- AU2020409772A1 AU2020409772A1 AU2020409772A AU2020409772A AU2020409772A1 AU 2020409772 A1 AU2020409772 A1 AU 2020409772A1 AU 2020409772 A AU2020409772 A AU 2020409772A AU 2020409772 A AU2020409772 A AU 2020409772A AU 2020409772 A1 AU2020409772 A1 AU 2020409772A1
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- 229910052500 inorganic mineral Inorganic materials 0.000 title claims abstract description 49
- 239000011707 mineral Substances 0.000 title claims abstract description 49
- 238000004458 analytical method Methods 0.000 title claims abstract description 25
- 238000000034 method Methods 0.000 title claims abstract description 12
- 238000012360 testing method Methods 0.000 claims abstract description 28
- 238000001069 Raman spectroscopy Methods 0.000 claims abstract description 26
- 239000000203 mixture Substances 0.000 claims abstract description 21
- 230000008859 change Effects 0.000 claims abstract description 11
- 238000007405 data analysis Methods 0.000 claims abstract description 8
- 230000007246 mechanism Effects 0.000 claims description 7
- 238000001514 detection method Methods 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 5
- 238000010276 construction Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 238000012986 modification Methods 0.000 description 4
- 238000013277 forecasting method Methods 0.000 description 3
- 229910001919 chlorite Inorganic materials 0.000 description 2
- 229910052619 chlorite group Inorganic materials 0.000 description 2
- QBWCMBCROVPCKQ-UHFFFAOYSA-N chlorous acid Chemical compound OCl=O QBWCMBCROVPCKQ-UHFFFAOYSA-N 0.000 description 2
- GUJOJGAPFQRJSV-UHFFFAOYSA-N dialuminum;dioxosilane;oxygen(2-);hydrate Chemical compound O.[O-2].[O-2].[O-2].[Al+3].[Al+3].O=[Si]=O.O=[Si]=O.O=[Si]=O.O=[Si]=O GUJOJGAPFQRJSV-UHFFFAOYSA-N 0.000 description 2
- 239000003673 groundwater Substances 0.000 description 2
- 229910052901 montmorillonite Inorganic materials 0.000 description 2
- WYTGDNHDOZPMIW-RCBQFDQVSA-N alstonine Natural products C1=CC2=C3C=CC=CC3=NC2=C2N1C[C@H]1[C@H](C)OC=C(C(=O)OC)[C@H]1C2 WYTGDNHDOZPMIW-RCBQFDQVSA-N 0.000 description 1
- 238000009412 basement excavation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- IUMKBGOLDBCDFK-UHFFFAOYSA-N dialuminum;dicalcium;iron(2+);trisilicate;hydrate Chemical compound O.[Al+3].[Al+3].[Ca+2].[Ca+2].[Fe+2].[O-][Si]([O-])([O-])[O-].[O-][Si]([O-])([O-])[O-].[O-][Si]([O-])([O-])[O-] IUMKBGOLDBCDFK-UHFFFAOYSA-N 0.000 description 1
- YGANSGVIUGARFR-UHFFFAOYSA-N dipotassium dioxosilane oxo(oxoalumanyloxy)alumane oxygen(2-) Chemical compound [O--].[K+].[K+].O=[Si]=O.O=[Al]O[Al]=O YGANSGVIUGARFR-UHFFFAOYSA-N 0.000 description 1
- 229910052869 epidote Inorganic materials 0.000 description 1
- 229910052900 illite Inorganic materials 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- NLYAJNPCOHFWQQ-UHFFFAOYSA-N kaolin Chemical compound O.O.O=[Al]O[Si](=O)O[Si](=O)O[Al]=O NLYAJNPCOHFWQQ-UHFFFAOYSA-N 0.000 description 1
- 229910052622 kaolinite Inorganic materials 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 229910052627 muscovite Inorganic materials 0.000 description 1
- VGIBGUSAECPPNB-UHFFFAOYSA-L nonaaluminum;magnesium;tripotassium;1,3-dioxido-2,4,5-trioxa-1,3-disilabicyclo[1.1.1]pentane;iron(2+);oxygen(2-);fluoride;hydroxide Chemical compound [OH-].[O-2].[O-2].[O-2].[O-2].[O-2].[F-].[Mg+2].[Al+3].[Al+3].[Al+3].[Al+3].[Al+3].[Al+3].[Al+3].[Al+3].[Al+3].[K+].[K+].[K+].[Fe+2].O1[Si]2([O-])O[Si]1([O-])O2.O1[Si]2([O-])O[Si]1([O-])O2.O1[Si]2([O-])O[Si]1([O-])O2.O1[Si]2([O-])O[Si]1([O-])O2.O1[Si]2([O-])O[Si]1([O-])O2.O1[Si]2([O-])O[Si]1([O-])O2.O1[Si]2([O-])O[Si]1([O-])O2 VGIBGUSAECPPNB-UHFFFAOYSA-L 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
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- 239000004576 sand Substances 0.000 description 1
- 229910000275 saponite Inorganic materials 0.000 description 1
- 239000013049 sediment Substances 0.000 description 1
- -1 sericite Chemical compound 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V8/00—Prospecting or detecting by optical means
- G01V8/02—Prospecting
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/65—Raman scattering
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- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Geophysics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Chemical & Material Sciences (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
- Geophysics And Detection Of Objects (AREA)
- Analysing Materials By The Use Of Radiation (AREA)
Abstract
A system and method, based on rock and mineral analysis, for tunnel fault fracture zone forecasting for a TBM. The system comprises a mechanical arm apparatus (1) and a data analysis module (11) mounted on the TBM. The mechanical arm apparatus (1) comprises a mechanical arm main body that can stretch and retract horizontally and ascend and descend vertically, and has a certain degree of freedom in pitch angle. A laser Raman spectrometer detector (7) is arranged in the axial direction of the front end of the mechanical arm main body. Laser ranging modules (10) are distributed on the circumference of the laser Raman spectrometer detector (7) to measure the distance between the laser Raman spectrometer detector (7) and surrounding rocks, so as to ensure that the detector is in vertical contact with the surrounding rocks at all times. A rock image collection apparatus (5) is arranged on the front end of the mechanical arm main body. The data analysis module (11) is configured to receive testing results of the rock image collection apparatus (5), the laser ranging modules (10) and the laser Raman spectrometer detector (7), and obtain, according to the data of multiple measuring points, surrounding rock images and mineral compositions and the change rules of content along with the mileage of a tunnel face, thereby forecasting a fault fracture zone ahead of the tunnel face.
Description
Field of the Invention
The present disclosure belongs to the field of tunnel TBM (Tunnel Boring Machine)-mounted fault
fracture zone forecasting, and specifically relates to a forecasting system and method for a fault
fracture zone of a TBM tunnel based on rock mineral analysis.
Background of the Invention
The statement of this section merely provides background art information related to the present
disclosure and does not necessarily constitute the prior art.
When TBM tunnel construction encounters a fault fracture zone, it is very likely to induce serious
geological disasters such as jamming, water inrush, and collapse under construction disturbance.
Therefore, the occurrence of the fault fracture zone needs to be forecasted accurately during the
TBM tunnel construction.
As the inventors know, different types of fault fracture zone bodies have different disaster-causing
mechanisms and modes. For example, the central zone of a compressive fault bears huge pressure,
rock fractures are ground relatively thinly and mostly filled and cemented by mylonite and fault
gouge to prevent water, while dense fracture zones on two walls of the fault have good connectivity
and strong water conductivity, and water inrush disasters are prone to occur during tunnel
construction for exposing this section; and an extensional fault has large gaps in its central zone and
relatively poor water permeability on two walls, which is conducive to the enrichment of
groundwater, and when a fault fracture zone is exposed by tunnel excavation, the groundwater often
carries sand, gravel, etc. into the tunnel. Therefore, it is particularly important to timely and
accurate forecast the type of a fault fracture zone body.
The existing advanced geological forecasting methods for TBM tunnels are mainly geophysical
detection methods, such as seismic wave methods and induced polarization methods. These
methods can forecast the location and scale of a fault fracture zone relatively accurately, but cannot
forecast the type of the fault fracture zone.
Summary of the Invention
To solve the above problems, the present disclosure proposes a forecasting system and method for a
fault fracture zone of a TBM tunnel based on rock mineral analysis, which can timely obtain a rock
mineral composition and content near a tunnel face, and forecast a fault fracture zone in the front
tunnel face based on the changes in the mineral composition and content.
According to some embodiments, the present disclosure adopts the following technical solutions:
A forecasting system for a fault fracture zone of a TBM tunnel based on rock mineral analysis,
including a mechanical arm device and a data analysis module mounted on a TBM, wherein:
the mechanical arm device includes a mechanical arm body capable of extending and retracting
horizontally and lifting vertically and having a certain degree-of-freedom of a pitching angle, a laser
Raman spectrometer detector is axially arranged at a front end of the mechanical arm body, and
laser ranging modules are distributed on the periphery of the laser Raman spectrometer detector, to
detect the distance between the laser Raman spectrometer detector and the surrounding rock, to
ensure that the detector is always in vertical contact with the surrounding rock; a rock image capture
device is arranged above the front end of the mechanical arm body;
the data analysis module is configured to receive the detection results of the rock image capture
device, the laser ranging modules, and the laser Raman spectrometer detector, obtain the change
rule of the surrounding rock image, the mineral composition and content with the mileage of a
tunnel face, and then forecast a fault fracture zone for the front tunnel face.
As an optional embodiment, the mechanical arm body includes at least two sleeved mechanical arm
sections to form a horizontally extending and retracting mechanism, a vertically lifting mechanism
is arranged at a lower end of the mechanical arm body and is capable of driving the mechanical arm
to move up and down, and the relative angle of the mechanical arm body and the vertically lifting
mechanism is adjustable. This can ensure that the mechanical arm body can swing up and down at a
certain angle, thereby ensuring that the laser Raman spectrometer detector can be in close contact
with the tunnel surrounding rock.
As an optional embodiment, a pressure sensor is arranged at a front end of the laser Raman
spectrometer detector, to test the pressure between the tunnel surrounding rock and the laser Raman spectrometer detector, so as to prevent the detector from being damaged due to excessive contact pressure.
As an optional embodiment, the rock image capture device is a miniature camera and is equipped
with a flashlight function.
As an optional embodiment, a rotatable base is arranged on an upper side of the front end of the
mechanical arm body, and the rock image capture device is arranged on the rotatable base to
implement omnidirectional image capture on the vault and the surrounding rock around.
As an optional embodiment, the data analysis module is remotely and wirelessly connected to a
main control unit of a TBM main control room.
As an optional embodiment, the mechanical arm body is a multi-degree-of-freedom mechanical
arm.
A working method based on the above-mentioned system includes: capturing an image of a tunnel
surrounding rock behind a TBM shield to determine a mineral composition test part, the mechanical
arm device driving the laser Raman spectrometer to move to a corresponding position to test the
mineral composition and content of the tunnel surrounding rock, determining the change rule of the
mineral composition and content of the tunnel surrounding rock with the mileage of a tunnel face
according to the rock image captured by the rock image capture device at a plurality of measuring
points, and finally forecasting a fault fracture zone for the front tunnel face according to the rock
image and the change rule of the mineral composition and content.
As an optional embodiment, at least 5 measuring points are adopted, and then an average value of
various measuring points is calculated as a mineral content value of the test part.
As an optional embodiment, the test interval of a lithological unchanging area is not more than 10
m.
Compared with the prior art, the beneficial effects of the present disclosure are:
The present disclosure can conveniently, quickly and timely measure the mineral composition and
content of the surrounding rock in a TBM tunnel, avoids inconvenient testing in traditional rock
testing methods implemented in laboratories, saves manpower, material resources, and financial
resources;
The present disclosure can test the mineral composition and content of the tunnel surrounding rock for a long time, provide their change rule with the mileage of the tunnel face, and implement advanced geological forecasting in time without TBM shutdown.
Brief Description of the Drawings The accompanying drawings constituting a part of the present disclosure are used for providing a further understanding of the present disclosure, and the schematic embodiments of the present disclosure and the descriptions thereof are used for interpreting the present disclosure, rather than constituting improper limitations to the present disclosure.
Fig. 1 is a schematic diagram of an overall structure in this embodiment;
Fig. 2 is a schematic diagram of a front end structure of a detector in this embodiment;
Fig. 3 is a simplified flowchart of operation steps in this embodiment;
Fig. 4 is a schematic diagram of a mineral analysis test part in a lithological unchanging area in this
embodiment; and
Fig. 5 is a schematic diagram of a mineral analysis test part of a lithological contact zone in this
embodiment.
Detailed Description of Embodiments
The present disclosure will be further illustrated below in conjunction with the accompanying
drawings and embodiments.
It should be noted that the following detailed descriptions are exemplary and are intended to
provide further descriptions of the present disclosure. All technical and scientific terms used herein
have the same meaning as commonly understood by those of ordinary skill in the technical field to
which the present disclosure belongs unless otherwise indicated.
It should be noted that the terms used here are merely used for describing specific embodiments, but
are not intended to limit the exemplary embodiments of the present invention. As used herein,
unless otherwise clearly stated in the context, the singular form is also intended to include the plural
form. In addition, it should also be understood that when the terms "include" and/or "comprise" are
used in the Description, they indicate features, steps, operations, devices, components, and/or
combinations thereof.
In the present disclosure, the terms such as "upper", "lower", "left", "right", "front", "rear",
"vertical", "horizontal", "side", and "bottom" indicate the orientation or positional relationships
based on the orientation or positional relationships shown in the drawings, are only relationship
terms determined for the convenience of describing the structural relationships of various
components or elements of the present disclosure, but do not specify any component or element in
the present disclosure, and cannot be understood as limitations to the present disclosure.
In the present disclosure, the terms such as "fixed", "connected" and "coupled" should be generally
understood, for example, they may be fixedly connected, detachably connected, integrally
connected, directly connected, or indirectly connected by a medium. For a related scientific research
or technical person in this art, the specific meanings of the above terms in the present disclosure
may be determined according to specific circumstances, and cannot be understood as limitations to
the present disclosure.
As shown in Fig. 1, a TBM-mounted forecasting system for a fault fracture zone in a tunnel based
on rock mineral analysis includes a mechanical arm device, a rock mineral analysis device, a rock
image capture device, laser ranging devices, and a data control analysis device.
The mechanical arm device 1 is composed of a horizontal extension and retraction module 2, an
up-and-down swing module 3, and a vertically lifting module 4; the horizontal extension and
retraction module 2 and the vertically lifting module 4 are composed of telescopic rods for
horizontal extension and retraction and vertically lifting of the mechanical arm device.
The up-and-down swing module 3 is located between the horizontal extension and retraction
module 2 and the vertically lifting module 4, composed of a triangular hinge structure, and used for
enabling a mechanical arm body to swing up and down at a certain angle, to ensure that a laser
Raman spectrometer detector 7 can be in close contact with tunnel surrounding rock.
The rock image capture device 5 is mounted above the horizontal extension and retraction module 2
of the mechanical arm, is used to capture an image of the surrounding rock in the tunnel and is an
existing miniature camera, and test results are transmitted to a data processing and analysis device
11; the miniature camera is equipped with a flashlight function, and the flashlight is in a working
state when the image of the surrounding rock is acquired; the base of the miniature camera is a
rotating device 6, which is used for the miniature camera to implement omnidirectional image
capture on the vault and the surrounding rock around.
The laser Raman spectrometer detector 7 of the rock mineral analysis device is located in front of
the horizontal extension and retraction module 2 of the mechanical arm, and the body 8 is located
below the horizontal extension and retraction module 2 of the mechanical arm.
As shown in Fig. 2, a micro pressure sensor 9 is arranged at a front end of the laser Raman
spectrometer detector 7, to test the pressure between the tunnel surrounding rock and the laser
Raman spectrometer detector 7, to prevent the detector from being damaged due to excessive
contact pressure.
As shown in Fig. 2, the laser ranging devices 10 are distributed on the periphery of the laser Raman
spectrometer detector 7, to detect the distance between the Raman spectrometer detector 7 and the
surrounding rock, to ensure that the detector is always in vertical contact with the surrounding rock.
The data control analysis device 11 receives data of rock mineral analysis and surrounding rock
image capture and is used to control the operations of various devices such as the mechanical arm 1,
the rock image capture device 5, the laser ranging devices 10, and the rock mineral analysis device
8.
As shown in Fig. 3, a forecasting method for a fault fracture zone based on the above-mentioned
mineral analysis system includes the following steps:
the rock image capture device 5 captures an image of tunnel surrounding rock behind a TBM shield
to determine a mineral composition test part;
the vertically lifting module 4 and the horizontal extension and retraction module 2 of the
mechanical arm are moved to corresponding positions, and the laser Raman spectrometer detector 7
tests the mineral composition and content of the tunnel surrounding rock. As shown in Fig. 4,
preferably, at least 5 measuring points are adopted, respectively are Opl, Op2, Op3, Op4, and Op5.
Then an average value of the 5 measuring points is calculated as a mineral content value of the test
part;
the TBM continues to bore forward, and the above test steps are repeated for the next test part to
test the mineral composition and content of the rock. Preferably, as shown in Fig. 4, the test interval
of a lithological unchanging area should not be more than 5 m. As shown in Fig. 5, a lithological
contact zone is divided into 3 mineral test areas A, B, and C according to the rock image captured
by the rock image capture device for testing. The measuring points in area A are Al to A5, the measuring points in area B are B Ito B5, the measuring points in area C are Cl to C5, and an average value of the 5 measuring points in each area is calculated respectively as a mineral content value of the test part; the data control analysis device 11 obtains the change rule of the surrounding rock image, the mineral composition and content with the mileage of a tunnel face, and finally forecasts a fault fracture zone for the front tunnel face according to the change rule of the surrounding rock image, the mineral composition and content.
In the above step, the forecasting method of a fault fracture zone for the front tunnel face according
to the change rule of the surrounding rock image, the mineral composition and content is as follows:
if approaching the tunnel face, the content of minerals such as chlorite, sericite, kaolinite, and
montmorillonite in the tunnel surrounding rock increases, and the filling quaternary sediments
appear in surrounding rock fractures, then an extensional fracture zone may be in the front tunnel;
if approaching the tunnel face, the content of flaky, needle-like, and fibrous minerals such as illite,
saponite, muscovite, chlorite, epidote, serpentine, and montmorillonite in the tunnel surrounding
rock increases, and the fracture degree of the surrounding rock gradually increases to argillization,
then a compressive fracture zone may be in the front tunnel.
Described above are merely preferred embodiments of the present disclosure, and the present
disclosure is not limited thereto. Various modifications and variations may be made to the present
disclosure for those skilled in the art. Any modification, equivalent substitution, improvement, or
the like made within the spirit and principle of the present disclosure shall fall into the protection
scope of the present disclosure.
Although the specific embodiments of the present disclosure are described above in combination
with the accompanying drawing, the protection scope of the present disclosure is not limited thereto.
It should be understood by those skilled in the art that various modifications or variations could be
made by those skilled in the art based on the technical solution of the present disclosure without any
creative effort, and these modifications or variations shall fall into the protection scope of the
present disclosure.
Claims (10)
- Claims 1. A forecasting system for a fault fracture zone of a TBM tunnel based on rock mineral analysis,comprising a mechanical arm device and a data analysis module t mounted on a TBM, wherein:the mechanical arm device comprises a mechanical arm body capable of extending and retractinghorizontally and lifting vertically and having a certain degree-of-freedom of a pitching angle, a laserRaman spectrometer detector is axially arranged at a front end of the mechanical arm body, andlaser ranging modules are distributed on the periphery of the laser Raman spectrometer detector, todetect the distance between the laser Raman spectrometer detector and the surrounding rock, toensure that the detector is always in vertical contact with the surrounding rock; a rock image capturedevice is arranged above the front end of the mechanical arm body; andthe data analysis module is configured to receive the detection results of the rock image capturedevice, the laser ranging modules, and the laser Raman spectrometer detector, obtain the changerule of the surrounding rock image, the mineral composition and content with the mileage of atunnel face, and then forecast a fault fracture zone for the front tunnel face.
- 2. The forecasting system for a fault fracture zone of a TBM tunnel based on rock mineral analysisaccording to claim 1, wherein the mechanical arm body comprises at least two sleeved mechanicalarm sections to form a horizontally extending and retracting mechanism, a vertically liftingmechanism is arranged at a lower end of the mechanical arm body and is capable of driving themechanical arm to move up and down, and the relative angle of the mechanical arm body and thevertically lifting mechanism is adjustable.
- 3. The forecasting system for a fault fracture zone of a TBM tunnel based on rock mineral analysisaccording to claim 1, wherein a pressure sensor is arranged at a front end of the laser Ramanspectrometer detector to test the pressure between the tunnel surrounding rock and the laser Ramanspectrometer detector.
- 4. The forecasting system for a fault fracture zone of a TBM tunnel based on rock mineral analysisaccording to claim 1, wherein the rock image capture device is a miniature camera and is equippedwith a flashlight function.
- 5. The forecasting system for a fault fracture zone of a TBM tunnel based on rock mineral analysisaccording to claim 1, wherein a rotatable base is arranged on an upper side of the front end of themechanical arm body, and the rock image capture device is arranged on the rotatable base to implement omnidirectional image capture on the vault and the surrounding rock around.
- 6. The forecasting system for a fault fracture zone of a TBM tunnel based on rock mineral analysisaccording to claim 1, wherein the data analysis module is remotely and wirelessly connected to amain control unit of a TBM main control room.
- 7. The forecasting system for a fault fracture zone of a TBM tunnel based on rock mineral analysisaccording to claim 1, wherein the mechanical arm body is a multi-degree-of-freedom mechanicalarm.
- 8. A working method based on the forecasting system according to any one of claims 1-7,comprising: capturing an image of a tunnel surrounding rock behind a TBM shield to determine amineral composition test part, the mechanical arm device driving the laser Raman spectrometer tomove to a corresponding position to test the mineral composition and content of the tunnelsurrounding rock, determining the change rule of the mineral composition and content of the tunnelsurrounding rock with the mileage of a tunnel face according to the rock image captured by the rockimage capture device at a plurality of measuring points, and finally forecasting a fault fracture zonefor the front tunnel face according to the rock image and the change rule of the mineral compositionand content.
- 9. The working method according to claim 8, wherein at least 5 measuring points are adopted, andthen an average value of various measuring points is calculated as a mineral content value of thetest part.
- 10. The working method according to claim 8, wherein the test interval of a lithological unchangingarea is not more than 10 m.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911302948.1 | 2019-12-17 | ||
| CN201911302948.1A CN110989024B (en) | 2019-12-17 | 2019-12-17 | TBM tunnel fault broken zone forecasting system and method based on rock mineral analysis |
| PCT/CN2020/136502 WO2021121224A1 (en) | 2019-12-17 | 2020-12-15 | System and method, based on rock and mineral analysis, for tunnel fault fracture zone forecasting for tbm |
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| AU2020409772A1 true AU2020409772A1 (en) | 2022-01-20 |
| AU2020409772B2 AU2020409772B2 (en) | 2023-11-16 |
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| CN110989024B (en) * | 2019-12-17 | 2021-10-08 | 山东大学 | TBM tunnel fault broken zone forecasting system and method based on rock mineral analysis |
| CN111638200B (en) * | 2020-04-22 | 2021-11-23 | 山东大学 | Geological forecasting system and method based on Raman spectrum analysis |
| CN112683880B (en) * | 2020-12-28 | 2022-06-07 | 山东大学 | Device and method for rapidly determining mineral content based on Raman spectrum analysis |
| CN112822359B (en) * | 2020-12-30 | 2022-03-25 | 山东大学 | Panoramic imaging system and method based on vehicle-mounted drilling and blasting tunnel |
| CN115015500B (en) * | 2022-05-18 | 2023-11-24 | 中铁十八局集团有限公司 | In-situ determination device and method for permeation of tunnel water-rich fault fracture zone |
| CN115618222B (en) * | 2022-06-21 | 2023-05-05 | 北京交通大学 | Tunnel tunneling response parameter prediction method |
| CN115656053B (en) * | 2022-10-19 | 2024-05-31 | 山东大学 | Rock mineral content testing method and system |
| CN115346141B (en) * | 2022-10-19 | 2023-03-24 | 山东大学 | Integrated unfavorable geology identification method and system of space-air-ground-tunnel-hole |
| CN115761038B (en) * | 2022-10-19 | 2023-06-30 | 山东大学 | Tunnel face geological sketch method and system based on image spectrum technology |
| CN116088033A (en) * | 2023-02-15 | 2023-05-09 | 东北大学 | Time-lag type extremely-strong rock burst geological discrimination method |
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| JP2004354097A (en) * | 2003-05-27 | 2004-12-16 | Starlabo Corp | Spectral imaging apparatus |
| KR101294241B1 (en) * | 2013-03-27 | 2013-08-07 | (주)희송지오텍 | Probe drilling geotechnical evaluation system attached to tunnel boring machine for predicting forward geology and tunnel construction apparatus and method using thereof |
| US9777372B2 (en) * | 2013-08-07 | 2017-10-03 | Regents Of The University Of Minnesota | Methods for manufacturing nano-gap and angstrom-gap articles |
| WO2016127173A1 (en) * | 2015-02-06 | 2016-08-11 | The University Of Akron | Optical imaging system and methods thereof |
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| CN108844941B (en) * | 2018-05-30 | 2021-10-12 | 武汉工程大学 | Method for identifying and classifying different-grade phosphate ores based on Raman spectrum and PCA-HCA |
| CN208737014U (en) * | 2018-08-17 | 2019-04-12 | 中铁十七局集团第二工程有限责任公司 | Imaging device in the hole of tunnel geological prediction |
| CN112525092B (en) * | 2018-09-19 | 2022-06-03 | 成都理工大学 | Tunnel construction monitoring system based on double-shield TBM process |
| CN109375263B (en) * | 2018-12-04 | 2020-04-21 | 山东大学 | Earthquake advanced prediction device, system and method suitable for drilling and blasting method tunnel |
| CN109612943B (en) * | 2019-01-14 | 2020-04-21 | 山东大学 | Tunnel rock quartz content testing system and method based on machine learning |
| CN110043267B (en) * | 2019-04-04 | 2020-07-31 | 山东大学 | TBM (Tunnel boring machine) carrying type advanced geological prediction system and method based on lithology and unfavorable geological precursor characteristic identification |
| CN110031491B (en) * | 2019-04-04 | 2020-05-26 | 山东大学 | Vehicle-mounted lithology and unfavorable geological precursor feature identification system and method |
| CN110318765B (en) * | 2019-07-02 | 2020-08-21 | 中国科学院武汉岩土力学研究所 | Mechanical-hydraulic combined rock breaking TBM real-time tunneling method based on lithology recognition |
| CN110207787A (en) * | 2019-07-10 | 2019-09-06 | 南京城建隧桥经营管理有限责任公司 | A kind of tunnel depth of accumulated water distributed monitoring system and monitoring method |
| CN110989024B (en) * | 2019-12-17 | 2021-10-08 | 山东大学 | TBM tunnel fault broken zone forecasting system and method based on rock mineral analysis |
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2019
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2020
- 2020-12-15 AU AU2020409772A patent/AU2020409772B2/en active Active
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| Publication number | Publication date |
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| WO2021121224A1 (en) | 2021-06-24 |
| AU2020409772B2 (en) | 2023-11-16 |
| CN110989024B (en) | 2021-10-08 |
| CN110989024A (en) | 2020-04-10 |
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Free format text: THE NATURE OF THE AMENDMENT IS: AMEND THE INVENTION TITLE TO READ FORECASTING SYSTEM AND METHOD FOR FAULT FRACTURE ZONE OF TBM TUNNEL BASED ON ROCK MINERAL ANALYSIS |
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