CN111041949A - Asphalt pavement crack depth detection method based on surface wave dispersion curve - Google Patents
Asphalt pavement crack depth detection method based on surface wave dispersion curve Download PDFInfo
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- CN111041949A CN111041949A CN201911236776.2A CN201911236776A CN111041949A CN 111041949 A CN111041949 A CN 111041949A CN 201911236776 A CN201911236776 A CN 201911236776A CN 111041949 A CN111041949 A CN 111041949A
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- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01C—CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
- E01C23/00—Auxiliary devices or arrangements for constructing, repairing, reconditioning, or taking-up road or like surfaces
- E01C23/01—Devices or auxiliary means for setting-out or checking the configuration of new surfacing, e.g. templates, screed or reference line supports; Applications of apparatus for measuring, indicating, or recording the surface configuration of existing surfacing, e.g. profilographs
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Abstract
The invention relates to a surface wave dispersion curve-based asphalt pavement crack depth detection method, which comprises the following steps of: 1) acquiring a time domain signal of the surface wave propagated in the asphalt pavement; 2) carrying out Fourier transform on the time domain signal to obtain a dispersion curve of the surface wave propagating in the asphalt pavement, namely a curve of the phase velocity changing along with the frequency/wavelength; 3) carrying out inversion analysis on the dispersion curve to obtain a change numerical value of the shear wave velocity along with the depth of the pavement, obtaining an elastic modulus numerical value along with the depth according to a linear elasticity theory, and determining whether a crack exists according to a modulus attenuation rate; 4) and obtaining parameters influencing the road surface crack depth, namely the minimum wavelength in the main dispersion curve according to the characteristic that the surface wave meets the crack boundary to generate a reflection behavior, and obtaining the estimated crack depth according to the parameters. Compared with the prior art, the method has the advantages of accurate positioning, crack rigidity detection, crack depth estimation and the like.
Description
Technical Field
The invention relates to the field of nondestructive testing of asphalt pavements in road engineering, in particular to a method for testing the depth of a crack of an asphalt pavement based on a surface wave dispersion curve.
Background
Since cracks can directly affect the performance and integrity of the pavement structure, evaluation of the cracking performance is an important part in the evaluation of the bearing capacity of asphalt pavement. The cracking performance at the crack is closely related to the attenuation of the modulus, so that the measurement of the modulus of the asphalt pavement is indispensable. The existing methods for evaluating the modulus of the asphalt pavement mainly comprise two methods: indoor laboratory test for on-site coring and on-site nondestructive testing. However, coring in situ can compromise the integrity of the pavement and destroy the original confining pressure of the pavement on the core sample. Therefore, the nondestructive testing method is a mainstream means for evaluating road performance in recent years because of its low cost, environmental friendliness, and high reliability. In the existing nondestructive testing method, the SASW method becomes a powerful method for determining the internal crack information of the asphalt pavement and the road surface crack depth according to the advantages that the thickness and the modulus of each layer of material can be accurately calculated, and the surface wave frequency dispersion characteristic of the SASW method can reveal the related information of diseases such as asphalt pavement cracking.
In the past, although researchers have not rarely studied the cracks of the asphalt pavement by the SASW method, they have conducted numerical simulation mainly by the finite element method, and there are few field tests to support and quantify the relationship between the dispersion curve characteristics of the surface wave and the cracks of the asphalt pavement.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a method for detecting the depth of a crack of an asphalt pavement based on a surface wave dispersion curve.
The purpose of the invention can be realized by the following technical scheme:
a method for detecting the depth of a crack of an asphalt pavement based on a surface wave dispersion curve comprises the following steps:
1) obtaining a time domain signal of a surface wave propagating in an asphalt pavement by adopting a surface wave spectrum analyzer SASW method of a nondestructive testing means;
2) performing Fourier transform on the time domain signal to obtain a frequency domain signal, performing filtering processing on the frequency domain signal, and after selecting an effective signal section, acquiring a frequency dispersion curve of surface waves propagating in an asphalt pavement, namely a curve of phase velocity changing along with frequency/wavelength;
3) carrying out inversion analysis on the dispersion curve to obtain a change numerical value of the shear wave velocity along with the depth of the pavement, obtaining an elastic modulus numerical value along with the depth according to a linear elasticity theory, and determining whether a crack exists according to a modulus attenuation rate;
4) and obtaining parameters influencing the road surface crack depth, namely the minimum wavelength in the main dispersion curve according to the characteristic that the surface wave meets the crack boundary to generate a reflection behavior, and obtaining the estimated crack depth according to the parameters.
In the step 4), the fracture depth estimation formula is as follows:
D＝αv-β
wherein D is the crack depth of the road surface, v is the minimum wavelength in the main dispersion curve, α is the coefficient varying with the road surface crack width, β is the coefficient varying with the road surface crack width.
The coefficient α which changes along with the width of the pavement crack takes the value of 2.4207.
The value of the coefficient β which is changed along with the width of the pavement crack is 0.219.
And in the step 3), judging that cracks exist in the asphalt pavement when the modulus attenuation rate exceeds a limit value.
The value range of the limit value is 45-50%.
Compared with the prior art, the invention has the following advantages:
firstly, under the condition that the structure of the asphalt pavement is not damaged, the modulus value of each asphalt layer is measured, so that the position where the crack exists (such as the position of the crack on an upper surface layer, a middle surface layer or a lower surface layer) can be accurately determined.
Compared with the prior art, the method can obtain the depth information of the crack through simple operation, improve the crack evaluation system and make contribution to the detection and maintenance work of the crack on the asphalt pavement.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
FIG. 2 is a graph showing the variation trend of two coefficient values with the crack width in the crack depth model.
FIG. 3a is a first sensor surface wave time domain signal in the instrument.
FIG. 3b shows a second sensor surface wave time domain signal in the instrument.
Fig. 4 is a main dispersion curve of surface wave propagation.
FIG. 5 is a plot of modulus of elasticity as a function of asphalt pavement depth.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments.
The invention is based on the existing theoretical research of measuring the depth of the asphalt pavement crack by the surface wave, further theoretical derivation is carried out, and a calculation method for directly determining the depth of the asphalt pavement crack by the minimum propagation wavelength in the main frequency dispersion curve of the surface wave is provided.
In order to accurately determine the existence of the cracks in the asphalt pavement and estimate the depth of the cracks on the pavement surface, the invention obtains the frequency dispersion characteristic of surface waves propagating on the asphalt pavement by using an SASW method, obtains the modulus of each layer of the pavement by further carrying out inversion analysis and calculation on a frequency dispersion curve, judges the existence of the cracks in the pavement surface according to the modulus attenuation rate, and provides a calculation method for estimating the depth of the cracks on the pavement surface according to the minimum wavelength in the frequency dispersion curve by means of the characteristic that the cracks are encountered by the surface waves and can generate reflection behaviors, thereby perfecting a system for detecting and estimating the cracks on the asphalt pavement surface.
As shown in fig. 1, the invention provides a method for detecting the depth of a crack of an asphalt pavement based on a surface wave dispersion curve, which comprises the following steps:
(1) the performance of the asphalt pavement is measured by using a non-destructive testing hand surface wave spectrum analyzer SASW method, and two sensors in an instrument are used for obtaining a time domain signal of a surface wave propagating in the asphalt pavement.
(2) The method comprises the steps of carrying out Fourier transform on a time domain signal to obtain a frequency domain signal, carrying out a series of filtering processing on the signal, and obtaining a dispersion curve (namely a curve of phase velocity changing along with frequency/wavelength) of surface waves propagating in the asphalt pavement according to relevant knowledge of signalology after selecting an effective signal section.
Selecting the effective signal segment specifically according to the following steps:
1. rejecting low-quality phase information segments, i.e., phase angles that do not conform to a general trend, including significant fluctuating phase angles, backward jagged phase angles, and random phase angles generated by random noise;
2. eliminating a signal segment under the near field effect according to a filtering formula of the near field effect;
3. eliminating signal sections with the wavelength less than 4 times of the distance between the receivers;
(3) and carrying out inversion analysis on the dispersion curve to obtain a change numerical value of the shear wave velocity along with the depth of the pavement, further obtaining an elastic modulus numerical value along with the depth according to a linear elasticity theory, and determining the existence of cracks according to the modulus attenuation rate.
(4) According to the characteristic that the surface wave can generate reflection behavior when meeting the crack boundary, a series of theoretical deductions are carried out, parameters influencing the road surface crack depth, namely the minimum wavelength in the main dispersion curve, are obtained, a formula for calculating the crack depth according to the parameters is obtained, and the calculation formula is as follows:
D＝αv-β
wherein D is the road surface crack depth;
v: a minimum wavelength within the dominant dispersion curve;
α, coefficient changing with the width of the road surface crack is generally 2.4207;
β coefficient of variation with the width of the road surface crack, generally 0.219.
(5) And (3) substituting the values of the relevant parameters obtained in the dispersion curve in the step (2) according to a calculation formula to obtain a specific estimation value of the pavement crack depth.
The selection of coefficients α and β in the formula is shown in fig. 2, when the width of the road surface crack is measured, a proper coefficient is selected according to the width of the road surface crack, and the selected coefficient value is substituted into the formula.
Examples
(1) The performance of the asphalt pavement is measured by using a non-destructive testing hand surface wave spectrum analyzer SASW method, and a time domain signal of the surface wave propagating in the asphalt pavement is obtained by using two sensors in the instrument, as shown in FIG. 3.
(2) The fourier transform is performed on the time domain signal to obtain a frequency domain signal, a series of filtering processes are performed on the frequency domain signal, and after an effective signal section is selected, a dispersion curve (i.e., a curve in which the phase velocity changes with the frequency/wavelength) of the surface wave propagating in the asphalt pavement is obtained according to the relevant knowledge of the signalology, as shown in fig. 4.
(3) And performing inversion analysis on the dispersion curve to obtain a change value of the shear wave velocity along with the depth of the pavement, and further obtaining an elastic modulus value along with the depth according to a linear elasticity theory, as shown in fig. 5. Comparing the measured modulus value with the road shoulder modulus, the modulus of the road shoulder asphalt layer is considered as the initial modulus value without any vehicle load, and the attenuation rate of the average modulus of the asphalt upper layer and the middle layer is as high as 52.9 percent and 50.8 percent, so that the crack is considered to exist in the asphalt pavement and the attenuation rate is determined by the modulus.
(4) According to the characteristic that the reflection behavior is generated when the surface wave meets the crack boundary, a formula for calculating the crack depth is provided, and the calculation formula is as follows:
D＝2.4207v-0.219
and (3) substituting the minimum wavelength value of 0.14m obtained in the main frequency dispersion curve in the step (2) to obtain the estimated value of the depth of the crack of 0.12 m.
Claims (6)
1. A method for detecting the depth of a crack of an asphalt pavement based on a surface wave dispersion curve is characterized by comprising the following steps:
1) obtaining a time domain signal of a surface wave propagating in an asphalt pavement by adopting a surface wave spectrum analyzer SASW method of a nondestructive testing means;
2) performing Fourier transform on the time domain signal to obtain a frequency domain signal, performing filtering processing on the frequency domain signal, and after selecting an effective signal section, acquiring a frequency dispersion curve of surface waves propagating in an asphalt pavement, namely a curve of phase velocity changing along with frequency/wavelength;
3) carrying out inversion analysis on the dispersion curve to obtain a change numerical value of the shear wave velocity along with the depth of the pavement, obtaining an elastic modulus numerical value along with the depth according to a linear elasticity theory, and determining whether a crack exists according to a modulus attenuation rate;
4) and obtaining parameters influencing the road surface crack depth, namely the minimum wavelength in the main dispersion curve according to the characteristic that the surface wave meets the crack boundary to generate a reflection behavior, and obtaining the estimated crack depth according to the parameters.
2. The method for detecting the depth of the crack of the asphalt pavement based on the surface wave dispersion curve as claimed in claim 1, wherein in the step 4), the crack depth is estimated according to the following formula:
D＝αv-β
wherein D is the crack depth of the road surface, v is the minimum wavelength in the main dispersion curve, α is the coefficient varying with the road surface crack width, β is the coefficient varying with the road surface crack width.
3. The method for detecting the depth of the crack of the asphalt pavement based on the surface wave dispersion curve as claimed in claim 2, wherein the coefficient α changing with the width of the crack is 2.4207.
4. The method for detecting the depth of the asphalt pavement crack based on the surface wave dispersion curve as claimed in claim 2, wherein the coefficient β changing with the width of the pavement crack is 0.219.
5. The method for detecting the depth of the crack of the asphalt pavement based on the surface wave dispersion curve as claimed in claim 1, wherein in the step 3), when the modulus attenuation rate exceeds a limit value, the crack in the asphalt pavement is judged.
6. The method for detecting the depth of the crack of the asphalt pavement based on the surface wave dispersion curve as claimed in claim 5, wherein the value of the limit value ranges from 45% to 50%.
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| CN113158512A (en) * | 2021-03-24 | 2021-07-23 | 东南大学 | Simulation method for detecting surface crack depth of structural body by utilizing Rayleigh surface waves |
| CN113624838A (en) * | 2021-06-23 | 2021-11-09 | 南京仕达得尔智能科技有限公司 | Pavement layering modulus calculation method for constructing frequency dispersion curve based on deflection time course curve |
| CN114000397A (en) * | 2021-11-30 | 2022-02-01 | 广州市市政工程试验检测有限公司 | Pavement disease detection equipment |
| CN115825411A (en) * | 2022-11-28 | 2023-03-21 | 武汉理工大学 | Crack size evaluation method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113624838B (en) * | 2021-06-23 | 2024-04-02 | 南京仕达得尔智能科技有限公司 | Pavement layering modulus calculation method for constructing dispersion curve based on deflection time course curve |
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| CN115825411A (en) * | 2022-11-28 | 2023-03-21 | 武汉理工大学 | Crack size evaluation method |
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