CN111983024A - Civil construction tunnel quality detection method and detection system thereof - Google Patents
Civil construction tunnel quality detection method and detection system thereof Download PDFInfo
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- 238000010276 construction Methods 0.000 title claims abstract description 27
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- 238000012545 processing Methods 0.000 claims description 16
- 229910000831 Steel Inorganic materials 0.000 claims description 12
- 239000010959 steel Substances 0.000 claims description 12
- 238000006243 chemical reaction Methods 0.000 claims description 7
- 239000006185 dispersion Substances 0.000 claims description 6
- 238000001914 filtration Methods 0.000 claims description 6
- 238000007781 pre-processing Methods 0.000 claims description 6
- 238000010009 beating Methods 0.000 abstract 1
- 230000007547 defect Effects 0.000 description 5
- 239000000463 material Substances 0.000 description 5
- 238000009659 non-destructive testing Methods 0.000 description 4
- 238000012360 testing method Methods 0.000 description 3
- 229910001294 Reinforcing steel Inorganic materials 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000001902 propagating effect Effects 0.000 description 2
- 239000002344 surface layer Substances 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
- G01N29/045—Analysing solids by imparting shocks to the workpiece and detecting the vibrations or the acoustic waves caused by the shocks
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
- G01N29/041—Analysing solids on the surface of the material, e.g. using Lamb, Rayleigh or shear waves
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
- G01N29/4409—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by comparison
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
- G01N29/449—Statistical methods not provided for in G01N29/4409, e.g. averaging, smoothing and interpolation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
- G01N29/46—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by spectral analysis, e.g. Fourier analysis or wavelet analysis
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/023—Solids
- G01N2291/0232—Glass, ceramics, concrete or stone
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/028—Material parameters
- G01N2291/0289—Internal structure, e.g. defects, grain size, texture
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/04—Wave modes and trajectories
- G01N2291/042—Wave modes
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/26—Scanned objects
- G01N2291/269—Various geometry objects
Abstract
The invention discloses a method for detecting the quality of a civil construction tunnel and a detection system thereof, wherein the method comprises a resiliometer, a recording device, a detector, a processor and a server, wherein the resiliometer is in signal connection with the recording device through a signal line; installing a detector on the detection line; beating in front of the detection line through a resiliometer, collecting surface waves generated by the impact through a detector, and uploading the surface waves to recording equipment; the recording equipment uploads the surface wave signals to a processor to compare the surface wave half-wavelengths at different positions; the processor uploads the data to the server and feeds back an analysis result to a detector; and (4) drawing a coordinate graph according to data fed back by the server by a detection person, and observing whether the curve is smooth or not to judge the quality of the tunnel. The method has the advantage of judging the quality of the tunnel by detecting the frequency of the surface wave generated by knocking in the tunnel.
Description
Technical Field
The invention relates to the technical field of tunnel detection, in particular to a method and a system for detecting the quality of a civil construction tunnel.
Background
At present, the infrastructure traffic construction is adjusted from high-speed development to high-quality development, in order to ensure the construction quality and the operation safety of the tunnel, the detection of the tunnel lining and the back of the tunnel lining is indispensable work, and the related matched maintenance equipment is an important guarantee of the detection work; the convenient check out test set of intelligence can provide high-efficient, reliable, safe detection means for tunnel detection work in construction or operation, provides reliable quality assurance for the quick construction of tunnel, provides reliable safety guarantee for later stage operation.
With the use of nondestructive testing methods in tunneling, tunnel diagnostics has been greatly developed. The existing concrete nondestructive testing methods mainly comprise a rebound method, a radar method, an impact echo method, an ultrasonic method and the like. The rebound method is the most commonly used nondestructive testing method, but the rebound method can only measure the quality condition of the concrete surface, but the internal quality information cannot be known; the radar method can accurately position the internal defects of the concrete, but is greatly influenced by the low-resistance shielding of the steel bars, particularly the reflected image at the back of the steel bars is difficult to obtain when the density of the steel bars is high, and information in the aspect of concrete strength cannot be provided; the impact echo method can be used for measuring the internal defects of the concrete and the thickness of a concrete member, but the longitudinal resolution is low, and the detection precision is greatly influenced by the reinforcing steel bars and the water content in the concrete; ultrasonic through test can obtain longitudinal wave velocity parameters of the whole material, but cannot be applied to tunnel lining detection. Therefore, a nondestructive tunnel detection method with good detection effect is needed. The surface wave is an elastic wave propagating along a surface layer of a medium, and the propagation speed of the surface wave has good correlation with the dry density, the compressive strength and the like of the material. Therefore, the method has great significance for detecting the mechanical property and the defects of the concrete material of the structure, and has been greatly emphasized in the application aspect of the nondestructive detection of the concrete building.
Disclosure of Invention
The invention aims to provide a method and a system for detecting the quality of a civil construction tunnel, which have the advantage of judging the quality of the tunnel by detecting the frequency of surface waves generated by knocking in the tunnel and solve the problems that the conventional concrete nondestructive detection method mainly comprises a rebound method, a radar method, an impact echo method, an ultrasonic method and the like. The rebound method is the most commonly used nondestructive testing method, but the rebound method can only measure the quality condition of the concrete surface, but the internal quality information cannot be known; the radar method can accurately position the internal defects of the concrete, but is greatly influenced by the low-resistance shielding of the steel bars, particularly the reflected image at the back of the steel bars is difficult to obtain when the density of the steel bars is high, and information in the aspect of concrete strength cannot be provided; the impact echo method can be used for measuring the internal defects of the concrete and the thickness of a concrete member, but the longitudinal resolution is low, and the detection precision is greatly influenced by the reinforcing steel bars and the water content in the concrete; ultrasonic through test can obtain longitudinal wave velocity parameters of the whole material, but cannot be applied to tunnel lining detection. Therefore, a nondestructive tunnel detection method with good detection effect is needed. A surface wave is an elastic wave propagating along a surface layer of a medium, and its propagation speed has a problem of good correlation with material dry density, compressive strength, and the like.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a civil construction tunnel quality detecting system, includes resiliometer, recording equipment, wave detector, treater and server, and resiliometer passes through signal line and recording equipment signal connection, and recording equipment passes through signal line signal connection with the treater, and the treater passes through internet and server signal connection.
Preferably, the detectors are provided with eight groups, the eight groups of detectors are symmetrically distributed on the inner wall of the tunnel, and the distance between each group of detectors is 1 m.
Preferably, twelve detectors are in a group, and the distance between detectors in the same group is 0.2 m.
A method for detecting the quality of a civil construction tunnel comprises the following steps:
s1, arranging 6 or 8 detection lines in the tunnel, wherein the detection lines on the left side and the right side are symmetrically distributed in the tunnel;
s2, measuring on each detection line, measuring the distance between each detection point, positioning the detection points, and installing detectors on the detection points;
s3, determining the position for installing the resiliometer in front of the first detector at one end of the detection line, and installing the resiliometer;
s4, striking in front of each detection line through a resiliometer, collecting surface waves generated by striking through a detector on the detection line, and uploading the surface waves to recording equipment;
s5, the recording equipment converts the surface wave signals into electric signals and uploads the electric signals to the processor to compare the surface wave half-wavelengths at different positions;
s6, uploading the processed data to a server by the processor, and feeding back the analysis result to a detector through the server;
and S7, drawing a coordinate graph by taking the half wavelength as an ordinate axis and the distance as an abscissa axis according to the data fed back by the server by the detection personnel, and observing whether the curve is smooth to judge the quality of the tunnel.
Preferably, a steel plate is padded between the resiliometer and the wall of the tunnel, and the distance between the resiliometer and the detector is 1-1.5 m.
Preferably, after each arrangement is detected, the detection of the key sections is performed at intervals of 2-2.4m along the measuring line direction.
Preferably, the pre-processing of the recording device comprises data format conversion and adding location information.
Preferably, the processor processes the data including waveform processing and frequency dispersion analysis, and the waveform processing includes noise analysis and frequency domain filtering.
Preferably, the server is used for sorting and intensity conversion of the data processed by the processor and feeding back the data to the detection personnel.
Compared with the prior art, the invention has the beneficial effects that: through setting up resiliometer and wave detector, hit in every detection line the place ahead respectively through the resiliometer, and gather the face wave that the impact produced through the wave detector on this detection line, and upload to recording equipment, recording equipment uploads the face wave half-wavelength to the treater to different positions after converting the face wave signal into the signal of telecommunication and carries out the comparison, the data upload after the treater will handling to the server, and give back to detection personnel through server analysis result, detection personnel are according to the intensity grade of every survey line, use half-wavelength as the ordinate axis, use the distance to draw the coordinate picture as the abscissa axis, if the curve is level and smooth then explain the quality of tunnel is good, if slope a certain section slope is great, then explain the fault appears in the tunnel.
Drawings
FIG. 1 is a schematic structural diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front", "rear", "both ends", "one end", "the other end", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "disposed," "connected," and the like are to be construed broadly, such as "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The technical scheme of the system for detecting the quality of the civil construction tunnel provided by the invention comprises the following steps:
example 1
The utility model provides a civil construction tunnel quality detecting system, including resiliometer, recording apparatus, the wave detector, treater and server, twelve wave detectors are a set of, the distance between the wave detector between the same group is 0.2m, the wave detector is equipped with eight groups altogether, and eight groups of wave detectors are at tunnel inner wall symmetric distribution, the distance between every group wave detector is 1m, resiliometer passing signal line and recording apparatus signal connection, recording apparatus and treater passing signal line signal connection, the treater passes through internet and server signal connection.
The invention provides a technical scheme of a method for detecting the quality of a civil construction tunnel, which comprises the following steps:
a method for detecting the quality of a civil construction tunnel comprises the following steps:
s1, arranging 8 detection lines in the tunnel, wherein the left side wall and the right side wall are 4 respectively, and the detection lines on the left side and the right side are symmetrically distributed in the tunnel.
And S2, measuring on each detection line, measuring the distance between each detection point, positioning the detection points, mounting detectors on the detection points, wherein the twelve detectors form a group, the distance between the detectors in the same group is 0.2m, the detectors are provided with eight groups, the eight groups of detectors are symmetrically distributed on the inner wall of the tunnel, and the distance between each group of detectors is 1 m.
And S3, determining the position for installing the resiliometer in front of the first detector at one end of the detection line, installing the resiliometer, and arranging a steel plate between the resiliometer and the wall of the tunnel, wherein the distance between the resiliometer and the detector is 1 m.
And S4, striking in front of each detection line through a resiliometer, collecting surface waves generated by striking through a detector on the detection line, uploading the surface waves to recording equipment, and performing key section detection at intervals of 2.4m along the detection line after each arrangement detection is finished.
And S5, converting the surface wave signal into an electric signal by the recording equipment, and then uploading the electric signal to a processor to compare the surface wave half-wavelengths at different positions, wherein the preprocessing of the recording equipment comprises data format conversion and adding position information, the processing of data by the processor comprises waveform processing and frequency dispersion analysis, and the waveform processing comprises noise analysis and frequency domain filtering.
And S6, uploading the processed data to a server by the processor, feeding back the analysis result to the detector by the server, and finishing and converting the intensity of the data processed by the processor by the server and feeding back the data to the detector.
And S7, drawing a coordinate graph by taking the half wavelength as an ordinate axis and the distance as an abscissa axis according to the data fed back by the server, wherein the smooth curve of the coordinate graph indicates that the quality of the tunnel is excellent.
Example 2:
a method for detecting the quality of a civil construction tunnel comprises the following steps:
s1, 6 detection lines are arranged in the tunnel, the left side wall and the right side wall are 3, and the detection lines on the left side and the right side are symmetrically distributed in the tunnel.
And S2, measuring on each detection line, measuring the distance between each detection point, positioning the detection points, mounting detectors on the detection points, wherein the twelve detectors form a group, the distance between the detectors in the same group is 0.2m, the detectors are provided with eight groups, the eight groups of detectors are symmetrically distributed on the inner wall of the tunnel, and the distance between each group of detectors is 1.5 m.
And S3, determining the position for installing the resiliometer in front of the first detector at one end of the detection line, installing the resiliometer, and arranging a steel plate between the resiliometer and the wall of the tunnel, wherein the distance between the resiliometer and the detector is 1 m.
And S4, striking in front of each detection line through a resiliometer, collecting surface waves generated by striking through a detector on the detection line, uploading the surface waves to recording equipment, and performing key section detection at intervals of 2.4m along the detection line after each arrangement detection is finished.
And S5, converting the surface wave signal into an electric signal by the recording equipment, and then uploading the electric signal to a processor to compare the surface wave half-wavelengths at different positions, wherein the preprocessing of the recording equipment comprises data format conversion and adding position information, the processing of data by the processor comprises waveform processing and frequency dispersion analysis, and the waveform processing comprises noise analysis and frequency domain filtering.
And S6, uploading the processed data to a server by the processor, feeding back the analysis result to the detector by the server, and finishing and converting the intensity of the data processed by the processor by the server and feeding back the data to the detector.
And S7, drawing a coordinate graph by taking the half wavelength as an ordinate axis and the distance as an abscissa axis according to data fed back by the server by the detector, wherein if a certain section of a curve of the coordinate graph has a larger slope, a fault appears in the tunnel.
Example 3
A method for detecting the quality of a civil construction tunnel comprises the following steps:
s1, arranging 8 detection lines in the tunnel, wherein the left side wall and the right side wall are 4 respectively, and the detection lines on the left side and the right side are symmetrically distributed in the tunnel;
and S2, measuring on each detection line, measuring the distance between each detection point, positioning the detection points, mounting detectors on the detection points, wherein the twelve detectors form a group, the distance between the detectors in the same group is 0.2m, the detectors are provided with eight groups, the eight groups of detectors are symmetrically distributed on the inner wall of the tunnel, and the distance between each group of detectors is 1.5 m.
And S3, determining the position for installing the resiliometer in front of the first detector at one end of the detection line, installing the resiliometer, and arranging a steel plate between the resiliometer and the wall of the tunnel, wherein the distance between the resiliometer and the detector is 1 m.
And S4, striking in front of each detection line through a resiliometer, collecting surface waves generated by striking through a detector on the detection line, uploading the surface waves to recording equipment, and performing key section detection at intervals of 2m along the detection line after each arrangement detection is finished.
And S5, converting the surface wave signal into an electric signal by the recording equipment, and then uploading the electric signal to a processor to compare the surface wave half-wavelengths at different positions, wherein the preprocessing of the recording equipment comprises data format conversion and adding position information, the processing of data by the processor comprises waveform processing and frequency dispersion analysis, and the waveform processing comprises noise analysis and frequency domain filtering.
And S6, uploading the processed data to a server by the processor, feeding back the analysis result to the detector by the server, and finishing and converting the intensity of the data processed by the processor by the server and feeding back the data to the detector.
And S7, drawing a coordinate graph by taking the half wavelength as an ordinate axis and the distance as an abscissa axis according to the data fed back by the server, wherein the smooth curve of the coordinate graph indicates that the quality of the tunnel is excellent.
Example 4
A method for detecting the quality of a civil construction tunnel comprises the following steps:
s1, 6 detection lines are arranged in the tunnel, the left side wall and the right side wall are 3, and the detection lines on the left side and the right side are symmetrically distributed in the tunnel.
And S2, measuring on each detection line, measuring the distance between each detection point, positioning the detection points, mounting detectors on the detection points, wherein the twelve detectors form a group, the distance between the detectors in the same group is 0.2m, the detectors are provided with eight groups, the eight groups of detectors are symmetrically distributed on the inner wall of the tunnel, and the distance between each group of detectors is 1 m.
And S3, determining the position for installing the resiliometer in front of the first detector at one end of the detection line, installing the resiliometer, and arranging a steel plate between the resiliometer and the wall of the tunnel, wherein the distance between the resiliometer and the detector is 1 m.
And S4, striking in front of each detection line through a resiliometer, collecting surface waves generated by striking through a detector on the detection line, uploading the surface waves to recording equipment, and performing key section detection at intervals of 2m along the detection line after each arrangement detection is finished.
And S5, converting the surface wave signal into an electric signal by the recording equipment, and then uploading the electric signal to a processor to compare the surface wave half-wavelengths at different positions, wherein the preprocessing of the recording equipment comprises data format conversion and adding position information, the processing of data by the processor comprises waveform processing and frequency dispersion analysis, and the waveform processing comprises noise analysis and frequency domain filtering.
And S6, uploading the processed data to a server by the processor, feeding back the analysis result to the detector by the server, and finishing and converting the intensity of the data processed by the processor by the server and feeding back the data to the detector.
And S7, drawing a coordinate graph by taking the half wavelength as an ordinate axis and the distance as an abscissa axis according to data fed back by the server by the detector, wherein if a certain section of a curve of the coordinate graph has a larger slope, a fault appears in the tunnel.
The working principle is as follows: the method comprises the steps that impact is respectively carried out in front of each detection line through a resiliometer, surface waves generated by impact are collected through a detector on each detection line and uploaded to a recording device, the recording device converts surface wave signals into electric signals and then uploads the electric signals to a processor to compare surface wave half-wavelengths at different positions, the processor uploads processed data to a server, analysis results are fed back to detection personnel through the server, the detection personnel use the half-wavelengths as ordinate axes according to the strength grade of each detection line and distance as abscissa axes to draw a coordinate graph, if the curve of the coordinate graph is smooth, the quality of a tunnel is good, and if a certain section of the curve of the coordinate graph is large in slope, faults appear in the tunnel.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (9)
1. The utility model provides a civil construction tunnel quality detecting system, includes resiliometer, recording equipment, wave detector, treater and server, its characterized in that: the resiliometer is in signal connection with the recording equipment through a signal line, the recording equipment is in signal connection with the processor through a signal line, and the processor is in signal connection with the server through the Internet.
2. The civil construction tunnel quality detection system of claim 1, wherein: eight groups of detectors are arranged on the tunnel, the eight groups of detectors are symmetrically distributed on the inner wall of the tunnel, and the distance between every two groups of detectors is 1 m.
3. The civil construction tunnel quality detection system of claim 2, wherein: twelve detectors are in one group, and the distance between the detectors in the same group is 0.2 m.
4. A method for detecting the quality of a civil construction tunnel is characterized by comprising the following steps:
s1, arranging 6 or 8 detection lines in the tunnel, wherein the detection lines on the left side and the right side are symmetrically distributed in the tunnel;
s2, measuring on each detection line, measuring the distance between each detection point, positioning the detection points, and installing detectors on the detection points;
s3, determining the position for installing the resiliometer in front of the first detector at one end of the detection line, and installing the resiliometer;
s4, striking in front of each detection line through a resiliometer, collecting surface waves generated by striking through a detector on the detection line, and uploading the surface waves to recording equipment;
s5, the recording equipment converts the surface wave signals into electric signals and uploads the electric signals to the processor to compare the surface wave half-wavelengths at different positions;
s6, uploading the processed data to a server by the processor, and feeding back the analysis result to a detector through the server;
and S7, drawing a coordinate graph by taking the half wavelength as an ordinate axis and the distance as an abscissa axis according to the data fed back by the server by the detection personnel, and observing whether the curve is smooth to judge the quality of the tunnel.
5. The method for detecting the quality of the civil construction tunnel according to claim 4, wherein: a steel plate is arranged between the resiliometer and the wall of the tunnel in a cushioning mode, and the distance between the resiliometer and the detector is 1-1.5 m.
6. The method for detecting the quality of the civil construction tunnel according to claim 4, wherein: after each arrangement detection is finished, key section detection is carried out at intervals of 2-2.4m along the measuring line direction.
7. The method for detecting the quality of the civil construction tunnel according to claim 4, wherein: the pre-processing of the recording device includes data format conversion and the addition of location information.
8. The method for detecting the quality of the civil construction tunnel according to claim 4, wherein: the processor processes data including waveform processing and frequency dispersion analysis, and the waveform processing includes noise analysis and frequency domain filtering.
9. The method for detecting the quality of the civil construction tunnel according to claim 4, wherein: and the server is used for sorting and converting the intensity of the data processed by the processor and feeding the data back to the detection personnel.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101071125A (en) * | 2006-05-09 | 2007-11-14 | 钟世航 | Method and apparatus for non-destructive detecting sprayed concrete strength |
| CN102680575A (en) * | 2012-05-17 | 2012-09-19 | 上海交通大学 | Impact mapping method and system for complicated rock-soil medium |
| CN103018337A (en) * | 2012-12-25 | 2013-04-03 | 上海交通大学 | Surface wave-based nondestructive testing method and system for internal concrete state |
| CN109870513A (en) * | 2019-03-21 | 2019-06-11 | 重庆交通职业学院 | The detection of wheel shaft recessiveness fatigue damage and visualization technique |
-
2020
- 2020-08-29 CN CN202010890604.3A patent/CN111983024A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101071125A (en) * | 2006-05-09 | 2007-11-14 | 钟世航 | Method and apparatus for non-destructive detecting sprayed concrete strength |
| CN102680575A (en) * | 2012-05-17 | 2012-09-19 | 上海交通大学 | Impact mapping method and system for complicated rock-soil medium |
| CN103018337A (en) * | 2012-12-25 | 2013-04-03 | 上海交通大学 | Surface wave-based nondestructive testing method and system for internal concrete state |
| CN109870513A (en) * | 2019-03-21 | 2019-06-11 | 重庆交通职业学院 | The detection of wheel shaft recessiveness fatigue damage and visualization technique |
Non-Patent Citations (2)
| Title |
|---|
| 王德咏: "《面波法在水工隧洞混凝土质量无损检测中的应用》" * |
| 车爱兰: "《高密度面波探测在隧道混凝土质量检测中的应用》" * |
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