CN117518281A - Method for quantitatively evaluating pavement hidden diseases based on three-dimensional ground penetrating radar - Google Patents
Method for quantitatively evaluating pavement hidden diseases based on three-dimensional ground penetrating radar Download PDFInfo
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- 201000010099 disease Diseases 0.000 title claims abstract description 82
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 title claims abstract description 82
- 230000000149 penetrating effect Effects 0.000 title claims abstract description 35
- 238000000034 method Methods 0.000 title claims abstract description 26
- 239000010426 asphalt Substances 0.000 claims abstract description 11
- 239000004576 sand Substances 0.000 claims abstract description 7
- 238000001514 detection method Methods 0.000 claims abstract description 6
- 238000011002 quantification Methods 0.000 claims abstract description 4
- 238000011835 investigation Methods 0.000 claims description 9
- 230000007547 defect Effects 0.000 claims description 7
- 238000005070 sampling Methods 0.000 abstract description 3
- 238000003745 diagnosis Methods 0.000 abstract description 2
- 238000012423 maintenance Methods 0.000 abstract description 2
- 238000012545 processing Methods 0.000 abstract description 2
- 239000010410 layer Substances 0.000 description 13
- 238000011156 evaluation Methods 0.000 description 5
- 239000011800 void material Substances 0.000 description 4
- 230000009471 action Effects 0.000 description 2
- 239000011229 interlayer Substances 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000035515 penetration Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005056 compaction Methods 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 238000005336 cracking Methods 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005553 drilling Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000003090 exacerbative effect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000011065 in-situ storage Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
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- G—PHYSICS
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- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/38—Processing data, e.g. for analysis, for interpretation, for correction
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B15/00—Measuring arrangements characterised by the use of electromagnetic waves or particle radiation, e.g. by the use of microwaves, X-rays, gamma rays or electrons
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N22/00—Investigating or analysing materials by the use of microwaves or radio waves, i.e. electromagnetic waves with a wavelength of one millimetre or more
- G01N22/02—Investigating the presence of flaws
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/12—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with electromagnetic waves
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Abstract
The invention discloses a method for quantitatively evaluating pavement hidden diseases based on a three-dimensional ground penetrating radar, which belongs to the field of electric digital data processing, and is characterized in that the three-dimensional ground penetrating radar is utilized to detect the pavement, the hidden diseases in radar maps are identified and quantitatively analyzed to obtain a standard map of typical hidden diseases in the pavement in North China, after the disease volume is quantized by combining a drill core sampling method with a sand filling method, a disease volume and amplitude difference estimation model is established, and the occupation ratio and the weight of the disease volume in a pavement structure are utilized to propose pavement hidden damage condition indexes (HPCIs) aiming at pavement hidden diseases of different grades. The invention realizes the high-efficiency and accurate quantification of the recessive diseases and can provide theoretical reference for the detection diagnosis and maintenance decision of the recessive diseases in the asphalt pavement.
Description
Technical Field
The invention belongs to the field of electric digital data processing, and particularly relates to a method for quantitatively evaluating pavement hidden diseases based on a three-dimensional ground penetrating radar.
Background
Along with the aging aggravation of the highway pavement, asphalt pavement diseases are gradually increased under the action of a plurality of factors such as traffic load, environmental climate and the like, and the asphalt pavement diseases comprise road surface diseases (ruts, cracks, pits and the like) and internal recessive diseases (interlayer void, loose base layer, poor interlayer bonding and the like). If hidden diseases appear in the pavement, the hidden diseases can be rapidly reflected to the pavement surface under the action of load, and even serious diseases such as cracks, subsidence, pushing, and hugs are generated, so that the integrity of the pavement structure is damaged, and the bearing capacity of the pavement structure is reduced.
Disclosure of Invention
The invention aims to solve the problems, provides a method for quantitatively evaluating pavement recessive diseases, establishes a typical disease map by analyzing a three-dimensional ground penetrating radar pattern, establishes a three-dimensional ground penetrating radar amplitude difference and disease volume estimation model by using an in-situ drilling sampling and sand filling method, and provides a pavement recessive disease evaluation index (HPCI).
In order to achieve the above purpose, the present invention adopts the following technical scheme: a method for quantitatively evaluating pavement hidden diseases based on three-dimensional ground penetrating radar comprises the following steps: step 1: starting a three-dimensional ground penetrating radar, collecting original data of an asphalt pavement to be tested through the three-dimensional ground penetrating radar, and recording space position coordinates of each measuring point and each measuring line; step 2: according to the specific positions of the diseases, classifying and identifying the diseases by combining a three-dimensional ground penetrating radar disease typical standard typical map; step 3: the three-dimensional ground penetrating radar detects according to the electrical difference of underground media, the amplitude of electromagnetic waves in the media with different dielectric constants changes, and cracks are quantified according to the amplitude difference of echo signals of the ground penetrating radar; the differences between the dielectric constants of the surrounding layers and the dielectric constants of the normal road structure layers are caused by the different widths of the cracks, the amplitudes of the interface reflected waves of the electromagnetic waves in the defects with different widths are obviously different, and the amplitude intensities of the same layer and the amplitude intensities of the layers without the defects are compared to obtain the amplitude differences, so that the crack widths are quantitatively identified; step 4: performing volume quantification on the disease by adopting a sand filling method, and obtaining the disease volume based on the amplitude difference of the three-dimensional ground penetrating radar according to a disease volume per unit length and an amplitude difference estimation model; the quantitative detection of secondary crack diseases is realized through quantitative indexes of crack volumes based on the amplitude difference characteristics of the three-dimensional ground penetrating radar; step 5: quantitatively evaluating the integrity of the pavement structure, and reflecting the damage condition of the pavement structure by adopting the index of the hidden damage condition of the pavement interior; the pavement hidden damage rate is the ratio of the sum of various pavement hidden damage volumes to the pavement investigation volume; step 6: and calculating an HPCI value and looking up a table to obtain the pavement damage grade.
Preferably, the amplitude difference expression is as shown in formula (1):(1) The method comprises the steps of carrying out a first treatment on the surface of the Wherein e is the amplitude difference; a is that ｎ Amplitude for presence of anomalies; a is that 0 Is the reference amplitude.
Preferably, the expression of the pavement internal hidden-damage condition index is shown in formula (2), and the expression of the pavement hidden-damage rate is shown in formula (3).
（2）。
（3）。
Wherein: HPCI-an index of the internal hidden damage condition of the road surface, wherein the numerical range is 0-100, and if a negative value appears, the HPCI takes 0; HDR is the ratio of the sum of the hidden damage volumes of various roads to the investigation volume of the road; a is that i -volume of type i pavement recessive disease; a—the volume of the road surface investigated; w (W) i -weight or scaling factor of internal diseases of the i-th road surface structure; n-number of damage types.
The invention has the beneficial technical effects that: the method for quantitatively evaluating the pavement hidden diseases based on the three-dimensional ground penetrating radar establishes a quantitative index of crack volume by utilizing the amplitude difference characteristic of the radar, and realizes quantitative detection of secondary cracking diseases (void and loose); the damage condition of the internal structure of the pavement is evaluated by using the HPCI index, so that the defect of long-term evaluation of the internal structure of the pavement is overcome, the efficient and accurate quantification of the hidden diseases is realized, and theoretical reference can be provided for detection diagnosis and maintenance decision of the hidden diseases in the asphalt pavement.
Drawings
FIG. 1 is a flow chart of the method of the present invention; FIG. 2 is a graph showing the correlation of the disease volume per unit length with the amplitude difference; FIG. 3 is a schematic diagram of a three-level structure model for determining the internal disease weight of an asphalt pavement.
Detailed Description
The invention is described in further detail below with reference to the attached drawings and detailed description: a method for quantitatively evaluating pavement hidden diseases based on three-dimensional ground penetrating radar is shown in a figure 1, and comprises the following steps: step 1: starting a three-dimensional ground penetrating radar, collecting original data of an asphalt pavement to be tested through the three-dimensional ground penetrating radar, and recording space position coordinates of each measuring point and each measuring line; step 2: according to the specific positions of the diseases, classifying and identifying the diseases by combining a three-dimensional ground penetrating radar disease typical standard map; step 3: the three-dimensional ground penetrating radar detects according to the electrical difference of underground media, the amplitude of electromagnetic waves in the media with different dielectric constants changes, and cracks are quantified according to the amplitude difference of echo signals of the ground penetrating radar; the differences between the dielectric constants of the surrounding layers and the dielectric constants of the normal road structure layers are caused by the different widths of the cracks, the amplitudes of the interface reflected waves of the electromagnetic waves in the defects with different widths are obviously different, and the amplitude intensities of the same layer and the amplitude intensities of the layers without the defects are compared to obtain the amplitude differences, so that the crack widths are quantitatively identified; the amplitude difference expression is shown in the formula (1):(1) The method comprises the steps of carrying out a first treatment on the surface of the Wherein e is the amplitude difference; a is that ｎ Amplitude for presence of anomalies; a is that 0 Is the reference amplitude.
In the quantitative identification research of the disease width of the three-dimensional ground penetrating radar, the depth analysis can be carried out through the relation between the amplitude difference and the crack width, so that quantitative indexes based on the amplitude difference in actual engineering are obtained. From the analysis, a more obvious correlation exists between the crack width and the amplitude difference, namely, the larger the crack width is, the larger the amplitude difference between the crack position and the normal disease-free position is.
Step 4: the correlation of the crack width and the amplitude difference can be obtained by analyzing the correlation of the crack width and the amplitude difference. Therefore, the estimated model of the amplitude difference and the disease width can be established by analysis asWherein->Represents disease width->Representing the amplitude difference; according to the relation between the disease width and the disease volume, obtaining that the disease volume and the disease width have a certain correlation under unit length; the method comprises the steps of sampling 38 core samples of 20 sections, filling dry fine sand into cracks for compaction by adopting a sand filling method, and calculating the volume of the fine sand to obtain the disease volume, thereby obtaining the quantitative volume index based on the amplitude difference in actual engineering.
As shown in FIG. 2, from the correlation analysis of the disease volume per unit length and the amplitude difference of 38 core samples of 20 sections, the estimated model of the amplitude difference and the disease volume per unit length is obtainedWherein->The unit length disease volume is represented, and the amplitude difference gradually increases with the increase of the unit length disease volume within a certain range. Therefore, a quantitative index of the crack volume based on the amplitude difference characteristic of the three-dimensional ground penetrating radar is provided, and quantitative detection of secondary crack diseases (void and loose) is realized.
Step 5: in order to quantitatively evaluate the structural integrity of the pavement, the pavement damage condition index PCI evaluation method is used as a reference, and the pavement internal hidden damage condition index HPCI (Hidden Pavement Condition Index) is used for reflecting the damage condition of the pavement structure. PCI only evaluates the road surface, the damage rate is the ratio of the damage area of the road surface to the investigation area, and the value is 0-100; most diseases exist in the pavement layer in a three-dimensional form, the method for representing the diseases by only using the damage area often lacks data rigor, further improvement is needed, the hidden damage condition inside the pavement is evaluated by using an HPCI index, and the internal damage rate is the volume of the internal diseases (the sum of the volumes of the diseases of all layers) and the volume of the investigation pavement, and the value can be more than 100.
The expression of the index of the hidden damage condition in the pavement is shown in the formula (2), and the expression of the hidden damage rate of the pavement is shown in the formula (3).
（2）。
（3）。
Wherein: HPCI-an index of the internal hidden damage condition of the road surface, wherein the numerical range is 0-100, and if a negative value appears, the HPCI takes 0; HDR-road surface hidden damage rate (Hidden Distrisss Ratio), which is the ratio of the sum of various road surface hidden damage volumes to the road surface survey volume; a is that i Volume (cm) of recessive disease of class i pavement 3 ) The method comprises the steps of carrying out a first treatment on the surface of the A-pavement volume of investigation (cm) 3 ）；W i -weight or scaling factor of internal diseases of the i-th road surface structure; n is the damage type number, the value of n of the asphalt pavement in the Shandong specific area is 5, and the n is respectively corresponding to 5 types of hidden diseases in the asphalt pavement.
The method comprises the steps of comprehensively evaluating the differences of influences of different types of diseases on the internal structure of the pavement by adopting a manual investigation and expert scoring mode and combining engineering experience; the disease weight is scientifically quantified by using an analytic hierarchy process, and a three-level structure model is determined by the internal disease weight of the asphalt pavement shown in figure 3.
The weights of the recessive disease types in different roads are initially simulated according to the investigation results, and the details are shown in table 1.
TABLE 1
And the base layer cracks and the penetrating cracks have larger influence on the pavement structure damage through researching the pavement structure damage reason and researching the disease occurrence mechanism and combining the on-site engineering condition and expert evaluation scoring comprehensive analysis.
The base layer crack can be further expanded and extended to form larger cracks as a crack starting point, so that the road surface is seriously damaged, moisture is led to enter from the permeation channel, the road surface structure is further damaged, the road surface is soft and muddy, even pits are generated, the strength and the rigidity of the road surface structure are seriously weakened, the bearing capacity of the road surface is reduced, and the road surface is collapsed or deformed. The through cracks provide channels for moisture to enter the pavement structure, which causes the pavement bottom material to soften and expand, thereby destroying the stability of the pavement, making it easy to expand into larger cracks, especially under conditions of large traffic load and temperature variation, and further exacerbating pavement damage. The next is a face crack, which tends to propagate into a larger crack under large traffic load and temperature variations. The crack expansion can cause pavement damage to be aggravated, so that the pavement structural strength is further weakened, and the driving safety is influenced. Loose and void pavement structures can form cracks and gaps that become channels for moisture penetration. The penetration of moisture causes the pavement base material to soften and expand, reducing the pavement strength.
Step 6: and calculating an HPCI value and looking up a table to obtain the pavement damage grade.
The HPCI evaluation criteria of the internal hidden damage condition of the pavement is initially classified into 4 grades by taking the cumulative volume of the ten meters of diseases as a measuring unit and combining engineering experience, and the damage condition of the internal structure of the pavement is calculated according to the HPCI value as shown in table 2.
Table 2 is a table of HPCI rating criteria for the condition of concealed breakage within a pavement.
TABLE 2
It should be understood that the above description is not intended to limit the invention to the particular embodiments disclosed, but to limit the invention to the particular embodiments disclosed, and that the invention is not limited to the particular embodiments disclosed, but is intended to cover modifications, adaptations, additions and alternatives falling within the spirit and scope of the invention.
Claims (3)
1. A method for quantitatively evaluating pavement hidden diseases based on three-dimensional ground penetrating radar is characterized by comprising the following steps: the method comprises the following steps:
step 1: starting a three-dimensional ground penetrating radar, collecting original data of an asphalt pavement to be tested through the three-dimensional ground penetrating radar, and recording space position coordinates of each measuring point and each measuring line;
step 2: according to the specific positions of the diseases, classifying and identifying the diseases by combining a three-dimensional ground penetrating radar disease standard typical map;
step 3: the three-dimensional ground penetrating radar detects according to the electrical difference of underground media, the amplitude of electromagnetic waves in the media with different dielectric constants changes, and cracks are quantified according to the amplitude difference of echo signals of the ground penetrating radar; the differences between the dielectric constants of the surrounding layers and the dielectric constants of the normal road structure layers are caused by the different widths of the cracks, the amplitudes of the interface reflected waves of the electromagnetic waves in the defects with different widths are obviously different, and the amplitude intensities of the same layer and the amplitude intensities of the layers without the defects are compared to obtain the amplitude differences, so that the crack widths are quantitatively identified;
step 4: performing volume quantification on the disease by adopting a sand filling method, and obtaining the disease volume based on the amplitude difference of the three-dimensional ground penetrating radar according to a disease volume per unit length and an amplitude difference estimation model; the quantitative detection of secondary crack diseases is realized through quantitative indexes of crack volumes based on the amplitude difference characteristics of the three-dimensional ground penetrating radar;
step 5: quantitatively evaluating the integrity of the pavement structure, and reflecting the damage condition of the pavement structure by adopting the index of the hidden damage condition of the pavement interior; the pavement hidden damage rate is the ratio of the sum of various pavement hidden damage volumes to the pavement investigation volume;
step 6: and calculating an HPCI value and looking up a table to obtain the pavement damage grade.
2. The method for quantitatively evaluating the pavement hidden diseases based on the three-dimensional ground penetrating radar according to claim 1, which is characterized in that: the amplitude difference expression is shown in the formula (1):
（1）；
wherein e is the amplitude difference; a is that ｎ Amplitude for presence of anomalies; a is that 0 Is the reference amplitude.
3. The method for quantitatively evaluating the pavement hidden diseases based on the three-dimensional ground penetrating radar according to claim 1, which is characterized in that
In the following steps: the expression of the index of the hidden damage condition in the pavement is shown in the formula (2), and the expression of the hidden damage rate of the pavement is shown in the formula (3);
（2）；
（3）；
wherein:
HPCI-an index of the internal hidden damage condition of the road surface, wherein the numerical range is 0-100, and if a negative value appears, the HPCI takes 0;
HDR is the ratio of the sum of the hidden damage volumes of various roads to the investigation volume of the road;
A i -volume of type i pavement recessive disease;
a—the volume of the road surface investigated;
W i -weight or scaling factor of internal diseases of the i-th road surface structure;
n-number of damage types.
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