CN107941825B - Rapid diagnosis method for internal defects of asphalt concrete panel anti-seepage system - Google Patents

Rapid diagnosis method for internal defects of asphalt concrete panel anti-seepage system Download PDF

Info

Publication number
CN107941825B
CN107941825B CN201711235547.XA CN201711235547A CN107941825B CN 107941825 B CN107941825 B CN 107941825B CN 201711235547 A CN201711235547 A CN 201711235547A CN 107941825 B CN107941825 B CN 107941825B
Authority
CN
China
Prior art keywords
layer
radar
data
horizontal
relative dielectric
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201711235547.XA
Other languages
Chinese (zh)
Other versions
CN107941825A (en
Inventor
李秀琳
孙志恒
郝巨涛
汪正兴
李萌
李蓉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Institute of Water Resources and Hydropower Research
Beijing IWHR KHL Co Ltd
Original Assignee
China Institute of Water Resources and Hydropower Research
Beijing IWHR KHL Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Institute of Water Resources and Hydropower Research, Beijing IWHR KHL Co Ltd filed Critical China Institute of Water Resources and Hydropower Research
Priority to CN201711235547.XA priority Critical patent/CN107941825B/en
Publication of CN107941825A publication Critical patent/CN107941825A/en
Application granted granted Critical
Publication of CN107941825B publication Critical patent/CN107941825B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N22/00Investigating or analysing materials by the use of microwaves or radio waves, i.e. electromagnetic waves with a wavelength of one millimetre or more
    • G01N22/02Investigating the presence of flaws

Abstract

The invention relates to a method for quickly diagnosing internal defects of an anti-seepage system of an asphalt concrete panel, which comprises the following steps: 1) correcting the starting time to be matched with the ground surface position; 2) adjusting gain and enhancing the visual effect of the recording section; 3) when the reflection energy of the deep signal is weak, the horizontal interference signal suppresses the effective signal and carries out horizontal background filtering; 4) performing deconvolution operation, and compressing the radar wavelet to improve the time resolution of the radar profile; 5) inputting the relative dielectric constant to obtain the actual thickness of each layer of medium; 6) and importing the grid data into three-dimensional modeling software from top to bottom and from left to right to construct three-dimensional data, and visually displaying the three-dimensional data in a time/depth slice mode. The invention provides a detection method with strong applicability, a built three-dimensional model has accurate size, and various media are displayed in different colors.

Description

Rapid diagnosis method for internal defects of asphalt concrete panel anti-seepage system
Technical Field
The invention relates to a method for quickly diagnosing internal defects of an anti-seepage system of an asphalt concrete panel, belonging to the technical field of pavement diagnosis.
Background
Asphalt concrete is a building material prepared by mixing and solidifying asphalt as a cementing material and aggregates (such as broken stone, sand, fillers and the like) according to a specified mixing ratio, and is often used as an anti-seepage body of earth-rock dams, water storage tanks, channels, riverways, embankments, revetments (slopes) and the like in the water conservancy and hydropower industry due to good anti-seepage performance. Asphalt concrete has been used for large-area water reservoir seepage prevention in europe for 50 and 60 of the 20 th century. In recent years, with the successive construction of asphalt concrete seepage-proofing projects of pumped storage power stations such as natural wastelands, Zhang river gulf, Xilong ponds, Baoquan and the like, the seepage-proofing design and construction technology of domestic hydraulic engineering asphalt concrete is rapidly developed.
The anti-seepage section of the asphalt concrete panel is generally divided into a simple type and a compound type, and is selected according to the important degree of engineering, safety requirements, geological conditions and other factors by comprehensively considering technical and economic requirements. The traditional compound section structure is generally divided into 5 layers, namely a sealing layer, an upper impermeable layer, a drainage layer, a lower impermeable layer and a leveling cementing layer from top to bottom. Considering that the permeability coefficient of the asphalt concrete impermeable layer can reach 1 multiplied by 10 -8The seepage-proofing performance is good below cm/s, the waterproof performance can be considered to be almost waterproof, and unless damage occurs, the probability of the drainage layer and the lower seepage-proofing layer in the compound cross section to play a role is very small, so that a structural form of omitting the drainage layer and the lower seepage-proofing layer in the compound cross section is selected by many projects, and the cross section is a simple cross section.
Whether simple or compound seepage prevention, the asphalt concrete panel which is put into operation sometimes has the phenomena of irregular bulge, cracks and the like. The panel cracks due to further deterioration of the bulge, the panel seepage possibility is increased, once the whole seepage-proof section is damaged, a large amount of seepage water can flow to the bottom of the reservoir, and if a base rock stratum has a weak layer sensitive to water, the mountain stability can be influenced by long-term action of the seepage water, so that serious consequences are caused. The method for detecting the defects of the asphalt concrete panel at present is a core sample drilling method, and has the defects of low efficiency, poor representativeness and inevitable damage to the integrity of the original impervious body. Therefore, a rapid nondestructive testing method is urgently needed, and the bulge and the crack which occur can be quantitatively judged to obtain the depth and the size of the defect and whether the defect penetrates through the anti-seepage section or not; and (4) carrying out comprehensive physical examination on the region with good surface, searching hidden danger and distinguishing defect types.
Disclosure of Invention
In order to solve the problems, the invention provides a method for quickly diagnosing the internal defects of an anti-seepage system of an asphalt concrete panel, which can visually display the defects of different depths in the asphalt concrete panel.
The invention is realized by the following technical scheme:
a method for quickly diagnosing internal defects of an anti-seepage system of an asphalt concrete panel comprises the following steps:
1) correcting the starting time to be matched with the ground surface position;
transmitting waves through a transmitting antenna and a receiving antenna of a radar antenna, wherein the first wave displayed on a terminal display is a direct wave after the transmitted waves are directly received by the transmitting antenna and the receiving antenna after being reflected by the surface of a receiving medium; then, when initial time zero point correction is carried out on the radar waves, a time mode is adopted, the transmitting and receiving antennas are vacant to be separated from a measured object so as not to be interfered, a display image is selected to be a color gray scale image, one gain is selected, and the initial zero point is selected to be at the center of the positive waves of the direct waves;
2) adjusting gain and enhancing the visual effect of the recording section;
after initial time correction (time zero setting), placing the transmitting and receiving antennas on the surface of a measured object, firstly selecting an automatic gain function of acquisition equipment, manually adjusting gain when weak signals or superstrong signals possibly exist at different depths in an obtained graph, adding gain points, wherein the numerical value of each gain point is 5-7, each gain point is basically linearly distributed from top to bottom and can be manually adjusted in points or sections, and the maximum positive and negative wave amplitude accounts for five to seven components of an adjusting frame, so that a reflected signal is clearer and distinguishable, and abnormity is easier to process and distinguish;
3) when the reflection energy of the deep signal is weak, the horizontal interference signal suppresses the effective signal and carries out horizontal background filtering;
horizontal interference signals can be suppressed through horizontal smooth filtering, namely horizontal inter-channel superposition, and generally three scanning lines are preferably set for suppressing random interference in the horizontal direction, smoothly recording and enhancing the continuity of a horizon; in order to improve the identification precision, horizontal background removal filtering is carried out, horizontal interference is eliminated, and characteristic images such as covered steel bars, interfaces and the like can be distinguished from the processed gray level image;
4) performing deconvolution operation, and compressing the radar wavelet to improve the time resolution of the radar profile;
5) inputting the relative dielectric constant to obtain the actual thickness of each layer of medium;
testing a measuring line with a defect-free surface, coring on the measuring line, analyzing the measured data, and finding out a scanning diagram of a coring part to correspond to the core sample; the thickness of each layer of medium in the core sample can be directly measured, and the radar section scanning diagram is adjusted by a precise value, so that the thickness of each layer of medium in the image is the same as the actual thickness, and the relative dielectric constant of each layer of medium can be obtained; the relative dielectric constants of the different corresponding media are input values used in subsequent detection;
6) importing the grid data into three-dimensional modeling software from top to bottom and from left to right to construct three-dimensional data, and visually displaying the three-dimensional data in a time/depth slice mode;
correcting all the detection data according to the relative dielectric constant, then importing the grid data into three-dimensional modeling software from top to bottom and from left to right to construct three-dimensional data, and performing visual display in a time/depth slice mode; and (3) layering all the detection data, and then endowing each layer with the adjusted relative dielectric constant, wherein the depth value corresponding to the data is regarded as the depth value of the detected object.
Further, the coring of step 5) comprises: core drilling and sampling adopt a core drilling machine with a drill bit of phi 30cm, the core drilling machine is fixed on a slope by using an expansion bolt before core drilling, a core sample is drilled while water is introduced, the core drilling machine drills until reaching a gravel cushion layer, and the core sample taken out comprises three complete layers of an upper impermeable layer, a drainage layer and a lower impermeable layer; measuring the thickness of each layer by using a vernier caliper, measuring three times along the periphery, and taking an average value; and layering the radar data, drawing a boundary layer along a boundary line, and adjusting the relative dielectric constant of each layer to enable the display depth of the scanning image of each layer to correspond to the measured value.
The method for quickly diagnosing the internal defects of the anti-seepage system of the asphalt concrete panel has the beneficial effects that:
1. the built three-dimensional model has accurate size, various media are displayed in different colors, the media inside the model can be displayed in a horizontal and vertical slicing mode, the vertical size can be used for displaying the thickness of the layered media of the impervious section of the asphalt concrete panel, the different colors can be displayed to distinguish the internal defect types, and the presence or absence of the through crack from top to bottom can be used for durability evaluation and crack depth detection;
2. the artificial damage to the anti-seepage system can be reduced, the panel section defects are displayed in a three-dimensional manner, and the image is visual;
3. compared with coring which is time-consuming and destructive, the internal defect detection method can obtain the internal defect condition only by scanning the part to be detected in detail, can improve the efficiency of the nondestructive detection method, can distinguish fine defects through color change, improves the resolution, has scientific basis for the thickness and the defect size of each layer of medium deduced from the known relative dielectric constant of each layer of medium, and improves the detection precision.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
A method for quickly diagnosing internal defects of an anti-seepage system of an asphalt concrete panel comprises the following steps:
1) correcting the starting time to be matched with the ground surface position;
transmitting waves through a transmitting antenna and a receiving antenna of a radar antenna, wherein the first wave displayed on a terminal display is a direct wave after the transmitted waves are directly received by the transmitting antenna and the receiving antenna after being reflected by the surface of a receiving medium; then, when initial time zero point correction is carried out on the radar waves, a time mode is adopted, the transmitting and receiving antennas are vacant to be separated from a measured object so as not to be interfered, a display image is selected to be a color gray scale image, one gain is selected, and the initial zero point is selected to be at the center of the positive waves of the direct waves;
2) adjusting gain and enhancing the visual effect of the recording section;
after initial time correction (time zero setting), placing the transmitting and receiving antennas on the surface of a measured object, firstly selecting an automatic gain function of acquisition equipment, manually adjusting gain when weak signals or superstrong signals possibly exist at different depths in an obtained graph, adding gain points, wherein the numerical value of each gain point is 5-7, each gain point is basically linearly distributed from top to bottom and can be manually adjusted in points or sections, and the maximum positive and negative wave amplitude accounts for five to seven components of an adjusting frame, so that a reflected signal is clearer and distinguishable, and abnormity is easier to process and distinguish;
3) when the reflection energy of the deep signal is weak, the horizontal interference signal suppresses the effective signal and carries out horizontal background filtering;
horizontal interference signals can be suppressed through horizontal smooth filtering, namely horizontal inter-channel superposition, and generally three scanning lines are preferably set for suppressing random interference in the horizontal direction, smoothly recording and enhancing the continuity of a horizon; in order to improve the identification precision, horizontal background removal filtering is carried out, horizontal interference is eliminated, and characteristic images such as covered steel bars, interfaces and the like can be distinguished from the processed gray level image;
4) performing deconvolution operation, and compressing the radar wavelet to improve the time resolution of the radar profile;
5) inputting the relative dielectric constant to obtain the actual thickness of each layer of medium;
testing a measuring line with a defect-free surface, coring on the measuring line, analyzing the measured data, and finding out a scanning diagram of a coring part to correspond to the core sample; the thickness of each layer of medium in the core sample can be directly measured, and the radar section scanning diagram is adjusted by a precise value, so that the thickness of each layer of medium in the image is the same as the actual thickness, and the relative dielectric constant of each layer of medium can be obtained; the relative dielectric constants of the different corresponding media are input values used in subsequent detection;
core drilling and sampling adopt a core drilling machine with a drill bit of phi 30cm, before core drilling, the core drilling machine is fixed on a slope by using an expansion bolt, and core sampling is drilled while water is introduced; the core drilling machine drills until the gravel cushion layer is formed, the taken core sample comprises three complete core samples, namely an upper impermeable layer, a drainage layer and a lower impermeable layer, the appearance of the core sample is flawless, the taken core sample comprises a normal core sample, the upper impermeable layer, the drainage layer and the lower impermeable layer are integrated into a whole, and the whole core sample is intact; measuring the thickness of each layer by using a vernier caliper, measuring three times along the periphery, and taking an average value; layering radar data, drawing a boundary layer along a boundary line, and adjusting the relative dielectric constant of each layer to enable the display depth of a scanned image of each layer to correspond to an actual measurement value;
6) importing the grid data into three-dimensional modeling software from top to bottom and from left to right to construct three-dimensional data, and visually displaying the three-dimensional data in a time/depth slice mode;
correcting all the detection data according to the relative dielectric constant, then importing the grid data into three-dimensional modeling software from top to bottom and from left to right to construct three-dimensional data, and performing visual display in a time/depth slice mode; and (3) layering all the detection data, and then endowing each layer with the adjusted relative dielectric constant, wherein the depth value corresponding to the data is regarded as the depth value of the detected object.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.

Claims (2)

1. A method for quickly diagnosing internal defects of an anti-seepage system of an asphalt concrete panel is characterized by comprising the following steps:
1) correcting the starting time to be matched with the ground surface position;
transmitting waves through a transmitting antenna and a receiving antenna of a radar antenna, wherein the first wave displayed on a terminal display is a direct wave after the transmitted waves are directly received by the transmitting antenna and the receiving antenna after being reflected by the surface of a receiving medium; then, when initial time zero point correction is carried out on the radar waves, a time mode is adopted, the transmitting and receiving antennas are vacant to be separated from a measured object so as not to be interfered, a display image is selected to be a color gray scale image, one gain is selected, and the initial zero point is selected to be at the center of the positive waves of the direct waves;
2) adjusting gain and enhancing the visual effect of the recording section;
after initial time correction, placing the transmitting and receiving antennas on the surface of a measured object, firstly selecting an automatic gain function of acquisition equipment, manually adjusting gain when weak signals or superstrong signals possibly exist at different depths in an obtained graph, adding gain points, wherein the numerical value of the gain points is 5-7, each gain point is basically linearly distributed from top to bottom, and adopting point-division or section-division manual adjustment to enable the maximum positive and negative wave amplitude to occupy five to seven components of a debugging frame so as to enable reflected signals to be clearer and distinguishable and be easier to process and distinguish abnormity;
3) when the reflection energy of the deep signal is weak, the horizontal interference signal suppresses the effective signal and carries out horizontal background filtering;
the horizontal interference signals can be suppressed through horizontal smooth filtering, namely horizontal inter-channel superposition, and three scanning lines are set for suppressing random interference in the horizontal direction, smoothly recording and enhancing the continuity of the horizon; in order to improve the identification precision, horizontal background removal filtering is carried out, horizontal interference is eliminated, and the covered steel bars and interface characteristic images can be distinguished from the processed gray level image;
4) performing deconvolution operation, and compressing the radar wavelet to improve the time resolution of the radar profile;
5) inputting the relative dielectric constant to obtain the actual thickness of each layer of medium;
testing a measuring line with a defect-free surface, coring on the measuring line, analyzing the measured data, and finding out a scanning diagram of a coring part to correspond to the core sample; the thickness of each layer of medium in the core sample can be directly measured, and the radar section scanning diagram is adjusted by a precise value, so that the thickness of each layer of medium in the image is the same as the actual thickness, and the relative dielectric constant of each layer of medium can be obtained; the relative dielectric constants of the different corresponding media are input values used in subsequent detection;
6) importing the grid data into three-dimensional modeling software from top to bottom and from left to right to construct three-dimensional data, and visually displaying the three-dimensional data in a time/depth slice mode;
correcting all the detection data according to the relative dielectric constant, then importing the grid data into three-dimensional modeling software from top to bottom and from left to right to construct three-dimensional data, and performing visual display in a time/depth slice mode; and (3) layering all the detection data, and then endowing each layer with the adjusted relative dielectric constant, wherein the depth value corresponding to the data is regarded as the depth value of the detected object.
2. The method for rapidly diagnosing the internal defects of the asphalt concrete panel seepage-proofing system according to claim 1, which is characterized in that: the coring of step 5) comprises: core drilling and sampling adopt a core drilling machine with a drill bit of phi 30cm, the core drilling machine is fixed on a slope by using an expansion bolt before core drilling, a core sample is drilled while water is introduced, the core drilling machine drills until reaching a gravel cushion layer, and the core sample taken out comprises three complete layers of an upper impermeable layer, a drainage layer and a lower impermeable layer; measuring the thickness of each layer by using a vernier caliper, measuring three times along the periphery, and taking an average value; and layering the radar data, drawing a boundary layer along a boundary line, and adjusting the relative dielectric constant of each layer to enable the display depth of the scanning image of each layer to correspond to the measured value.
CN201711235547.XA 2017-11-30 2017-11-30 Rapid diagnosis method for internal defects of asphalt concrete panel anti-seepage system Active CN107941825B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711235547.XA CN107941825B (en) 2017-11-30 2017-11-30 Rapid diagnosis method for internal defects of asphalt concrete panel anti-seepage system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711235547.XA CN107941825B (en) 2017-11-30 2017-11-30 Rapid diagnosis method for internal defects of asphalt concrete panel anti-seepage system

Publications (2)

Publication Number Publication Date
CN107941825A CN107941825A (en) 2018-04-20
CN107941825B true CN107941825B (en) 2020-02-11

Family

ID=61947957

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711235547.XA Active CN107941825B (en) 2017-11-30 2017-11-30 Rapid diagnosis method for internal defects of asphalt concrete panel anti-seepage system

Country Status (1)

Country Link
CN (1) CN107941825B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108693007A (en) * 2018-06-13 2018-10-23 河南大学 Compound rock stratum rocks test block pours mold and preparation method, compound formation sample machining tool and method
CN110824150B (en) * 2019-11-29 2022-04-22 广西路桥工程集团有限公司 Automatic monitoring and early warning system for debonding of steel pipe concrete arch rib
CN113075260B (en) * 2021-02-25 2023-03-14 山西省交通信息通信有限公司 Road bridge tunnel defect radar detection and multi-component processing method and system

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102288625A (en) * 2011-07-08 2011-12-21 李典基 Channel concrete lining nondestructive testing system
CN103669184B (en) * 2013-12-25 2015-12-09 河南省高远公路养护技术有限公司 A kind of invisible disease detection method of pavement structure layer
CN103898931B (en) * 2014-04-11 2016-06-08 广州建设工程质量安全检测中心有限公司 A kind of base stake three-dimensional detection device based on boring radar and base stake 3 D detection method

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
Experimental study on ground penetrating radar in quality inspection of asphalt concrete impervious facing of pumped storage power station;Xiulin Li et al;《IOP》;20181231;全文 *
地质雷达在沥青混凝土面板防渗结构病害检测中的应用;李秀琳等;《Dam and Safety》;20171231;全文 *
地质雷达在铁路隧道质量检测中的常见问题及对策分析;孙建超;《价值工程》;20141231;全文 *
探地雷达工作原理及其在隧道质量检测中的应用;许团江等;《试验与检测》;20121231;第26卷(第2期);全文 *
探地雷达探测技术在水工混凝土结构中的应用;孙志恒等;《水利水电技术》;20021231;第33卷(第10期);全文 *

Also Published As

Publication number Publication date
CN107941825A (en) 2018-04-20

Similar Documents

Publication Publication Date Title
Chu et al. Consolidation and permeability properties of Singapore marine clay
CN107941825B (en) Rapid diagnosis method for internal defects of asphalt concrete panel anti-seepage system
CN106908846B (en) Detection method for detecting compactness of rockfill body by using ground penetrating radar
Antoine et al. Detection of leakage areas in an earth embankment from GPR measurements and permeability logging
CN111189507B (en) Karst water stratification discrimination and underground water level observation method
Karlovsek et al. Investigation of voids and cavities in bored tunnels using GPR
Marchetti Dilatometer and seismic dilatometer testing offshore: available experience and new developments
CN103061320B (en) Method for determining soil permeability coefficient on basis of piezocone sounding
CN107102378B (en) Utilize the method for hole pressure touching methods measurement artesian aquifer water level and head height
CN106759220A (en) The method that coefficient of static earth pressure is quickly determined using static cone penetration resistance
CA2529539C (en) Method to measure and locate a fluid communication pathway in a material behind a casing
Li et al. Application of ground penetrating radar in leakage detection of concrete face rockfill dam
CN102435540A (en) Measurement system and method for permeability coefficient of shallow-layer sand soil
Pineda et al. Testing block samples from silty deposits
CN104655439B (en) The in-situ detection method of gravity type wharf security
Likins et al. Defect analysis for CSL testing
CN111441399B (en) Method for detecting strength of beaded karst cave after grouting
Biryaltseva et al. Relative densities and void ratios derived from CPT data using in situ field calibration
Uriarte et al. Characterization of complex groundwater flows in the environment of singular buildings by combining hydrogeological and non‐destructive geophysical (ground‐penetrating radar) techniques: Punta Begoña Galleries (Getxo, Spain)
Karim et al. Geophysical Engineering to Identify Seepage Channels in the Hager Slough Levee
CN215949472U (en) Device for actually measuring grouting consolidation stratum pressure and parameter optimization
CN112609753B (en) Method for sweeping pile inserting area of ocean platform with lower floating body
Li et al. Application Research of Ground-Penetrating Radar in the Quality Inspection of Concrete Anti-seepage Panels
Ukleja et al. Determination of the railway retaining wall dimensions and its foundation in difficult terrain and utility
CN216816399U (en) Water-stopping effect test device of deep foundation pit water-stopping curtain

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant