CN110455917B - Concrete crack repair quality detection method - Google Patents
Concrete crack repair quality detection method Download PDFInfo
- Publication number
- CN110455917B CN110455917B CN201910779591.XA CN201910779591A CN110455917B CN 110455917 B CN110455917 B CN 110455917B CN 201910779591 A CN201910779591 A CN 201910779591A CN 110455917 B CN110455917 B CN 110455917B
- Authority
- CN
- China
- Prior art keywords
- crack
- frequency
- amplitude
- concrete
- repairing
- 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
Links
Images
Classifications
-
- 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
-
- 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
Landscapes
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)
Abstract
The invention relates to the technical field of nondestructive testing of constructional engineering, in particular to a method for detecting the repairing quality of a concrete crack. The method can be used in the process of repairing the cracks of concrete beams such as buildings, bridges and the like, quantitatively evaluates unknown cracks and whether the cracks are repaired completely, and has a good reference function for checking and accepting the quality of repairing the cracks in the engineering.
Description
Technical Field
The invention relates to the technical field of nondestructive testing of constructional engineering, in particular to a concrete crack repair quality detection method.
Background
Currently, there are three common methods for detecting the depth of a crack: one is ground penetrating radar method, which uses emitter to emit electromagnetic wave to concrete, when the electromagnetic wave meets the different substances of reinforcing steel bar or defect, the electromagnetic wave will be reflected back, the receiver receives the reflected wave, the electromagnetic wave can obtain waveform diagram, the internal defect condition of concrete can be estimated according to the diagram. The other method is an ultrasonic method, in which ultrasonic pulses are continuously emitted by an emitter to propagate in the concrete to be tested, and then the transducer receives the signals. The received signals contain information such as internal structures, material properties and the like, and the performance and the internal conditions of the concrete can be tested by accurately measuring the size change conditions of the acoustic parameters. And thirdly, an impact echo method, wherein a steel ball or a force rod is used for impacting the surface of the concrete to be used as impact excitation of pulse echo, longitudinal waves, transverse waves and surface waves are generated and respectively transmitted in the concrete, and refraction, reflection and the like can be caused when the waves meet an interface. The broadband transducer receives the signals from these waves and measures the relationship between the concrete mass and the received signals using spectral analysis.
The domestic repair degree of concrete crack detects whether to have the crack pouring glue to fill through observing the crack edge and spills over or whether can pour into the crack pouring glue into, and rethread instrument carries out the defect detection to the concrete, and crack repair is complete the back, whether can appear the defect frequency through data detection processing observation to this judges the inside defect of concrete, thereby judges whether the crack is repaired completely. However, for the specific repair situation inside the crack, how long deep crack is not repaired, and where the unrepaired crack is specifically located, no judgment can be made.
In summary, if the crack repair is incomplete, it can only be roughly estimated whether the internal crack of the concrete is completely repaired, and the concrete repair degree of the internal crack of the concrete and the accurate depth of the unrepaired area cannot be quantitatively determined.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the concrete crack repairing quality detection method is provided to quantitatively determine the concrete repairing degree of the internal crack of the concrete and the accurate depth of an unrepaired area.
In order to solve the technical problems, the invention adopts the technical scheme that:
a concrete crack repair quality detection method comprises the following steps:
step 1: after the concrete block crack is repaired, arranging an impact excitation device on one side of the concrete block crack, arranging a signal receiving sensor on the other side of the concrete block crack, enabling the impact excitation device and the signal receiving sensor to be symmetrically arranged on two sides of the crack, and generating stress waves through the impact excitation device to enable the signal receiving sensor to receive the stress waves reflected by the concrete block; the distance between the impact excitation device and the signal receiving sensor is a detection distance;
step 2: removing noise in a spectrogram of the stress wave received by the signal receiving sensor;
if the spectrogram after the noise point is removed has a characteristic peak, the surface is completely repaired; if the spectrogram after the noise point is removed has three characteristic peaks, the three characteristic peaks are the thickness frequency f, the crack top frequency f1 and the crack tail frequency f2 from small to large according to the frequency, and the crack is not repaired;
and step 3: the depth d of the repaired crack is calculated by the following formula:
wherein Cp is the wave velocity of longitudinal waves in the concrete and can be obtained through the thickness frequency f;
a is the distance between the impact excitation and the sensor;
f1 is the crack tip frequency;
f2 is the frequency of the tail end of the crack;
and 4, step 4: calculating the crack repair degree L by the following formula:
the invention has the beneficial effects that: according to the concrete crack repair quality detection method provided by the invention, the completely repaired crack can be effectively judged, the repair degree of the incompletely repaired crack is calculated, and the internal repair condition of the crack is accurately judged. The later-stage workload of crack detection workers is reduced, and reliable data support is provided for crack repair judgment of building engineering maintenance departments.
Drawings
FIG. 1 is a comparison graph of low energy noise removal for example 1 of the present invention;
FIG. 2 is a schematic diagram of crack repair detection in embodiment 1 of the present invention;
FIG. 3 is a fracture attenuation amplitude fitting curve of example 1 of the present invention;
FIG. 4 is a schematic diagram of fracture frequency extraction in example 1 of the present invention;
FIG. 5 is a spectrum chart before and after repair in example 1 of the present invention;
Detailed Description
In order to explain technical contents, achieved objects, and effects of the present invention in detail, the following description is made with reference to the accompanying drawings in combination with the embodiments.
The most key concept of the invention is as follows: according to the diffraction of the wave, three high-amplitude frequencies, namely thickness frequency f, crack top frequency f1 and crack tail frequency f2, are determined to appear when the wave propagates in the concrete, the crack depth before repair can be calculated through f1, and the crack depth which is not completely repaired in the concrete can be judged through f1 and f 2.
The invention relates to a concrete crack repair quality detection method, which comprises the following steps:
step 1: after the concrete block crack is repaired, arranging an impact excitation device on one side of the concrete block crack, arranging a signal receiving sensor on the other side of the concrete block crack, enabling the impact excitation device and the signal receiving sensor to be symmetrically arranged on two sides of the crack, and generating stress waves through the impact excitation device to enable the signal receiving sensor to receive the stress waves reflected by the concrete block; the distance between the impact excitation device and the signal receiving sensor is a detection distance;
step 2: removing noise in a spectrogram of the stress wave received by the signal receiving sensor;
if the spectrogram after the noise point is removed has a characteristic peak, the surface is completely repaired; if the spectrogram after the noise point is removed has three characteristic peaks, the three characteristic peaks are the thickness frequency f, the crack top frequency f1 and the crack tail frequency f2 from small to large according to the frequency, and the crack is not repaired;
and step 3: the depth d of the repaired crack is calculated by the following formula:
wherein Cp is the wave velocity of longitudinal waves in the concrete and can be obtained through the thickness frequency f;
a is the distance between the impact excitation and the sensor;
f1 is the crack tip frequency;
f2 is the frequency of the tail end of the crack;
and 4, step 4: calculating the crack repair degree L by the following formula:
in the concrete crack repair quality detection method, an efficient and accurate crack repair degree evaluation method is provided according to wave reflection and diffraction methods. According to the method, by testing a propagation signal of a stress wave in the concrete, three high amplitude frequencies, namely a thickness frequency f, a crack top frequency f1 and a crack tail frequency f2, are determined to appear when the wave propagates in a crack in the concrete according to wave diffraction, the crack depth before repair can be calculated through f1, the crack depth which is not completely repaired in the concrete can be judged through f1 and f2, and the crack repair degree can be evaluated by utilizing the crack depth before and after repair; the method can effectively judge the completely repaired crack, calculate the repairing degree of the incomplete repaired crack and accurately judge the repairing condition inside the crack. The later-stage workload of crack detection workers is reduced, and reliable data support is provided for crack repair judgment of building engineering maintenance departments.
Further, in the method for detecting the quality of repairing the concrete crack, the step 2 is specifically as follows:
and removing noise in a frequency spectrum graph of the stress wave received by the signal receiving sensor, and filtering the frequency spectrum with the amplitude smaller than the threshold value by setting the threshold value of the amplitude.
Further, in the concrete crack repair quality detection method, the threshold value is 0.5 dB.
Further, in the method for detecting the quality of repairing the concrete crack, after the step 1, the method further comprises a step 11: positioning the top frequency f1 of the crack, wherein the positioning method comprises the following specific steps:
obtaining an amplitude attenuation upper limit and an amplitude attenuation lower limit through the following formulas;
S1＝-4.00634×10-7×x3+2.55196×10-4×x2-0.03491×x+1.6648
S2＝1.73759×10-5×x2-0.00477×x+0.50613
wherein S1 is the upper limit of amplitude attenuation, S2 is the lower limit of amplitude attenuation;
x is a detection distance;
and subtracting the corresponding amplitude attenuation upper limit from the amplitude of the thickness frequency f of each detection distance x to obtain a defect frequency amplitude lower limit, subtracting the corresponding amplitude attenuation lower limit from the amplitude of the thickness frequency f of each detection distance x to obtain a defect frequency amplitude upper limit, determining the range of the defect frequency amplitude, and positioning the crack defect frequency before repairing, namely the crack top frequency f1 according to the defect frequency which is greater than the main frequency and the frequency corresponding to the maximum value point in the defect frequency amplitude range.
Further, in the method for detecting the quality of repairing the concrete crack, before the step 1, the method further comprises a step 0: before repairing the concrete block crack, arranging an impact excitation device on one side of the concrete block crack, and arranging a signal receiving sensor on the other side of the concrete block crack, so that the impact excitation device and the signal receiving sensor are symmetrically arranged on two sides of the crack, and generating stress waves through the impact excitation device so that the signal receiving sensor receives the stress waves reflected by the concrete block; the detection distance of step 0 is the same as that of step 1.
Further, in the method for detecting the quality of repairing the concrete crack, after the step 11, the method further includes a step 12: and positioning the tail end frequency f2 of the crack by the following method:
calculating to obtain the maximum point of the amplitude difference value before and after repairing through the following formula;
wherein S1(n) is a crack spectrum amplitude point before repair;
s2(n) is a repaired crack spectrum point;
s (f) is the maximum point of the amplitude difference before and after repairing;
and the point with the maximum amplitude difference before and after repairing is the frequency point of the tail end of the crack.
Example 1
In this example, the overall solution is as follows:
removing noise in spectrogram
The energy of the wave is in direct proportion to the square of the amplitude of the wave and the amplitude of the spectrogram after Fourier transform is in direct proportion to the amplitude of the signal, so that low-energy noise points introduced during crack detection can be screened according to the amplitude of the frequency spectrum, and the calculated amount of defect frequency extraction is reduced. According to the crack spectrogram, the amplitude ranges of most low-energy noise points are concentrated, so that comprehensive mathematical statistics on the amplitude values of different crack spectrograms shows that 95% of the amplitude values are in a low-amplitude range, amplitude maximum value points in the range are determined accordingly, the amplitude values in the crack amplitude-frequency characteristics are screened one by one, if the frequency amplitude is lower than a threshold value, the corresponding amplitude value is set to be zero, and if the frequency amplitude is higher than the threshold value, the frequency amplitude value is reserved. Namely, the low energy noise in the spectrogram can be removed, and the amplitude-frequency characteristic diagram before and after screening is shown in the figure (1).
Extraction of defect frequencies in crack spectrograms
In the concrete crack detection, the point with the highest amplitude in the thickness frequency point spectrum is also called a main frequency point. When determining the defect frequency, because frequency points with similar energy may appear near the crack main frequency in the spectrogram, the crack defect frequency cannot be determined only by the point with the amplitude smaller than the amplitude of the main frequency. Since the stress wave propagates in the concrete, there is a certain relation between its energy attenuation and the propagation distance. When the crack detection distance is 1-3 times of the crack depth, the detection result is most accurate. Therefore, the amplitude attenuation value is calculated according to the spectrogram obtained by detection meeting the relation between the detection distance and the crack depth. And (3) as shown in the figure, fitting a curve of the crack frequency attenuation amplitude, detecting the crack test block according to 7 measuring points with different detection distances, and fitting the upper limit and the lower limit of the crack frequency attenuation amplitude which change along with distance measurement through the obtained measuring points.
As shown in FIG. 4, the detection interval is 150mm, and thus the amplitude attenuation range obtained by fitting the curve is 0.1816-0.8181, so that the amplitude of the frequency at the top of the crack is 2.8849-3.5214, and the maximum value point in the range is 3.47, which is the frequency of the defect before repair.
As shown in fig. 5, three frequency points with obvious amplitude will appear when the crack is not completely repaired, the newly added crack frequency can be obtained by subtracting the spectral amplitude before and after repair, and the frequency corresponding to the maximum amplitude point obtained by the difference is the defect frequency after repair.
Calculation of crack repair
And judging the actual crack repairing degree according to the identified crack frequency, and when only one main frequency value is identified, determining that the crack is completely repaired. The three frequencies are used in the crack spectrogram which is not completely repaired, so that the crack repairing degree needs to be calculated, the crack depth which is not completely repaired is calculated by using a repairing crack depth calculation formula, and the crack repairing degree can be obtained by comparing the depth before the crack is repaired with the crack depth which is not completely repaired after the crack is repaired.
The invention is realized by adopting the following scheme: the automatic evaluation method of the concrete crack repair quality based on the impact echo method comprises the following steps:
step S1: repairing concrete cracks and collecting data;
step S2: removing noise points in the crack frequency spectrum graph;
step S3: extracting frequency points of concrete crack defects;
step S4: calculating the defect depth before and after repair according to the defect frequency in the step S3;
step S5: and calculating the crack repairing degree.
In this example, the specific implementation is as follows:
device parameters and working principle thereof
This example adopts Hunan core appearance electron impact echo detector to collect data, and this equipment comprises impact excitation, sensor and data display, and the sampling rate is 125KHz, and gain 50-92dB is adjustable, can the acquisition waveform signal of high accuracy, and figure (2) is the principle of impact echo method detection crack depth, and this test block crack width is 0.5mm, and experiment crack width is close with actual crack width, can reflect the crack test situation in the practical application process better.
Removing noise in spectrogram
In the wave propagation process, because the wave energy is in direct proportion to the square of the signal amplitude, and the signal amplitude is in a linear relation with the frequency spectrum amplitude, the amplitude of a low-energy point can be judged to be some interference early points introduced in crack detection, the distribution range of the low-energy noise point is found out through mathematical statistics of the amplitude range corresponding to the low-energy noise point in a crack spectrogram of a concrete test block, and the calculation interference on the extraction of the defect frequency of the later crack can be reduced through the removal of the low-energy early point. The method for removing noise in the spectrogram comprises the following steps:
step 1: sorting the amplitudes in different crack spectrograms, and finding that 95% of amplitude points are concentrated in a low-amplitude area of 0-0.5, so that a maximum value point in the range is extracted as a spectrogram denoising threshold value.
Step 2: and according to the denoising threshold value, comparing the difference between the amplitude value in the spectrogram and the threshold value, if the difference value is regular, keeping the original frequency amplitude value, and otherwise, setting the frequency amplitude value of the point to be zero. The method is used for traversing all the amplitude points in the spectrogram, and the obtained result is the spectrogram after the noise points are removed.
Extraction of defect frequencies in a number of crack spectrograms
According to the fact that the more energy is attenuated along with the increase of the propagation distance when stress waves are propagated in concrete, an upper limit curve and a lower limit curve of the relation between the crack amplitude attenuation and the detection distance can be fitted, and according to the amplitude attenuation range of the upper limit curve and the lower limit curve, the defect frequency of the defect frequency can be determined.
Step 1: according to the detection principle of the impact echo, the energy attenuation of the signal receiving sensor is less when the waveform is reflected by the bottom of the test block. Therefore, the point represented in the spectrogram as the highest amplitude is the thickness frequency point, also called the dominant frequency point.
Step 2: since the stress wave propagates in the concrete, there is a certain relation between its energy attenuation and the propagation distance. When the crack detection distance is 1-3 times of the crack depth, the detection result is most accurate. Therefore, the amplitude attenuation value is calculated according to the spectrogram obtained by detection meeting the relation between the detection distance and the crack depth. And fitting the upper and lower limits of the fracture frequency attenuation amplitude which changes along with ranging through different detection intervals and corresponding attenuation amplitude differences. The formula (1) is an upper amplitude attenuation limit, and the formula (2) is a lower amplitude attenuation limit.
S1＝-4.00634×10-7×x3+2.55196×10-4×x2-0.03491×x+1.66
(1)
S2＝1.73759×10-5×x2-0.00477×x+0.50613 (2)
Wherein, S1 and S2 are frequency amplitude attenuation values;
and x is a detection distance.
And step 3: substituting the known crack detection distance x into the above formulas (1) and (2) to obtain the range of crack amplitude attenuation, subtracting the upper limit of amplitude attenuation from the main frequency amplitude to obtain the lower limit of amplitude of defect frequency, and obtaining the upper limit of amplitude of defect frequency from the lower limit of amplitude attenuation of the main frequency amplitude detection. Therefore, the range of the frequency amplitude of the defect can be determined, and the frequency of the crack defect before repair, namely the frequency f of the top end of the crack can be positioned according to the defect frequency which is greater than the main frequency and the frequency corresponding to the maximum value point in the range of the frequency amplitude of the defect1。
And 4, step 4: if the crack is not completely repaired, the maximum amplitude difference point in the spectrogram before and after repairing can be obtained by the formula (3), and the tail end frequency f of the repaired crack is2The frequency points are newly added, so the maximum value point of the difference of the spectrum amplitude before and after the repair is often the frequency point at the tail end of the crack.
Wherein S1(n) is a crack spectrum amplitude point before repair;
s2(n) is a repaired crack spectrum point;
s (f) is the point with the maximum amplitude difference before and after repairing.
Calculating the crack repairing degree, wherein the crack repairing degree can be divided into two conditions: firstly, the defect frequency does not appear after repairing, and the crack repairing is complete if the spectrogram only has a thickness frequency f with an obvious amplitude. Secondly, the spectrogram has three frequency peaks, namely a thickness frequency f and a crack top frequency f1Frequency f of crack end2If the crack is not repaired, the calculation of the repair degree can be performed as followsAnd (4) calculating.
Step 1: the longitudinal wave velocity C in the concrete can be obtained according to the thickness frequency by the impact echo principlepThe crack depth after repair is calculated as shown in formula (4).
Wherein d is the depth of the repaired crack;
Cpthe wave velocity of longitudinal waves in the concrete is adopted;
a is the distance between the impact excitation and the sensor;
f1is the crack tip frequency;
f2the frequency of the tail end of the crack.
Step 2: in the actual detection process, the depth of the crack before repair is measured as d1The depth of the crack which is not completely repaired after the repair is d. The crack repair degree L is calculated by the formula (5) as follows:
the embodiment provides an efficient and accurate crack repair degree evaluation method by combining an impact echo detection technology and according to wave reflection and diffraction methods. The method can identify the defect frequency of the crack by testing the propagation signal of the stress wave in the concrete and utilizing FFT (fast Fourier transform) and the relation curve of the crack attenuation amplitude and the detection distance, and can obtain the crack repair degree through a crack repair degree calculation formula.
Meanwhile, the method considers that the internal cracks of the concrete are not uniformly distributed in actual measurement, the internal actual crack depth cannot be deduced according to the cracks on the surface of the concrete, the concrete mould with the fixed length crack depth is arranged, the cracks are quantitatively repaired, low-energy amplitude noise points are removed, the crack defect frequency is automatically identified, and the feasibility of the method is verified through measurement calculation before and after the crack repair.
Accurate assessment of the repair degree of concrete cracks is essential, and the embodiment provides an efficient, accurate and effective method for assessing the repair degree of cracks for the maintenance department of construction engineering.
Particularly, the method determines that three high-amplitude frequencies, namely thickness frequency f, crack top frequency f1 and crack tail frequency f2, can appear when the wave propagates in the concrete according to wave diffraction, can calculate the crack depth before repair through f1, can judge the crack depth which is not completely repaired in the concrete through f1 and f2, and can evaluate the crack repair degree by utilizing the crack depth before and after repair.
In summary, in the concrete crack repair quality detection method provided by the invention, an efficient and accurate crack repair degree evaluation method is provided according to wave reflection and diffraction methods. According to the method, by testing a propagation signal of a stress wave in the concrete, three high amplitude frequencies, namely a thickness frequency f, a crack top frequency f1 and a crack tail frequency f2, are determined to appear when the wave propagates in a crack in the concrete according to wave diffraction, the crack depth before repair can be calculated through f1, the crack depth which is not completely repaired in the concrete can be judged through f1 and f2, and the crack repair degree can be evaluated by utilizing the crack depth before and after repair; the method can effectively judge the completely repaired crack, calculate the repairing degree of the incomplete repaired crack and accurately judge the repairing condition inside the crack. The later-stage workload of crack detection workers is reduced, and reliable data support is provided for crack repair judgment of building engineering maintenance departments.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields, are included in the scope of the present invention.
Claims (4)
1. The concrete crack repairing quality detection method is characterized by comprising the following steps of:
step 1: after the concrete block crack is repaired, arranging an impact excitation device on one side of the concrete block crack, arranging a signal receiving sensor on the other side of the concrete block crack, enabling the impact excitation device and the signal receiving sensor to be symmetrically arranged on two sides of the crack, and generating stress waves through the impact excitation device to enable the signal receiving sensor to receive the stress waves reflected by the concrete block; the distance between the impact excitation device and the signal receiving sensor is a detection distance;
after the step 1, the method further comprises the step 11: positioning the top frequency f1 of the crack, wherein the positioning method comprises the following specific steps:
obtaining an amplitude attenuation upper limit and an amplitude attenuation lower limit through the following formulas;
S1＝-4.00634×10-7×x3+2.55196×10-4×x2-0.03491×x+1.6648
S2＝1.73759×10-5×x2-0.00477×x+0.50613
wherein S1 is the upper limit of amplitude attenuation, S2 is the lower limit of amplitude attenuation;
x is a detection distance;
then subtracting the corresponding amplitude attenuation upper limit from the amplitude of the thickness frequency f of each detection distance x to obtain a defect frequency amplitude lower limit, subtracting the corresponding amplitude attenuation lower limit from the amplitude of the thickness frequency f of each detection distance x to obtain a defect frequency amplitude upper limit, thus determining the range of the defect frequency amplitude, and positioning the defect frequency of the crack before repairing, namely the top frequency f1 of the crack according to the frequency corresponding to the maximum value point in the defect frequency amplitude range;
after the step 11, the method further comprises a step 12: and positioning the tail end frequency f2 of the crack by the following method:
calculating to obtain the maximum point of the amplitude difference value before and after repairing through the following formula;
wherein S1(n) is a crack spectrum amplitude point before repair;
s2(n) is a repaired crack spectrum point;
s (f) is the maximum point of the amplitude difference before and after repairing;
the point with the maximum amplitude difference before and after repairing is the frequency point of the tail end of the crack;
step 2: removing noise in a spectrogram of the stress wave received by the signal receiving sensor;
if the spectrogram after the noise point is removed has a characteristic peak, the surface is completely repaired; if the spectrogram after the noise point is removed has three characteristic peaks, the three characteristic peaks are the thickness frequency f, the crack top frequency f1 and the crack tail frequency f2 from small to large according to the frequency, and the crack is not repaired;
and step 3: the depth d of the repaired crack is calculated by the following formula:
wherein Cp is the wave velocity of longitudinal waves in the concrete and can be obtained through the thickness frequency f;
a is the distance between the impact excitation and the sensor;
f1 is the crack tip frequency;
f2 is the frequency of the tail end of the crack;
and 4, step 4: calculating the crack repair degree L by the following formula:
2. the method for detecting the repairing quality of the concrete cracks according to claim 1, wherein the step 2 specifically comprises the following steps:
and removing noise in a frequency spectrum graph of the stress wave received by the signal receiving sensor, and filtering the frequency spectrum with the amplitude smaller than the threshold value by setting the threshold value of the amplitude.
3. The method for detecting the repairing quality of the concrete cracks as claimed in claim 2, wherein the threshold value is 0.5 dB.
4. The method for detecting the repairing quality of the concrete cracks as claimed in claim 1, wherein before the step 1, the method further comprises the step 0: before repairing the concrete block crack, arranging an impact excitation device on one side of the concrete block crack, and arranging a signal receiving sensor on the other side of the concrete block crack, so that the impact excitation device and the signal receiving sensor are symmetrically arranged on two sides of the crack, and generating stress waves through the impact excitation device so that the signal receiving sensor receives the stress waves reflected by the concrete block; the detection distance of step 0 is the same as that of step 1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910779591.XA CN110455917B (en) | 2019-08-22 | 2019-08-22 | Concrete crack repair quality detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910779591.XA CN110455917B (en) | 2019-08-22 | 2019-08-22 | Concrete crack repair quality detection method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110455917A CN110455917A (en) | 2019-11-15 |
| CN110455917B true CN110455917B (en) | 2022-03-01 |
Family
ID=68488547
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910779591.XA Active CN110455917B (en) | 2019-08-22 | 2019-08-22 | Concrete crack repair quality detection method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110455917B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111041949B (en) * | 2019-12-05 | 2020-11-27 | 同济大学 | Asphalt pavement crack depth detection method based on surface wave dispersion curve |
| CN110954033A (en) * | 2019-12-16 | 2020-04-03 | 福建博海工程技术有限公司 | Concrete crack depth detection method and system |
| CN111948289B (en) * | 2020-08-24 | 2023-07-21 | 四川升拓检测技术股份有限公司 | Concrete cold joint quality detection method, device and system based on shock elastic waves |
| CN112668082B (en) * | 2020-12-25 | 2022-11-18 | 大连理工大学 | Method for monitoring and evaluating concrete crack repairing effect in real time |
| CN115078540B (en) * | 2022-07-04 | 2023-07-14 | 东南大学溧阳研究院 | Wall nondestructive testing system and wall nondestructive testing method for wall climbing detection robot |
Family Cites Families (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3523806B2 (en) * | 1999-06-22 | 2004-04-26 | 太平洋セメント株式会社 | Defect inspection method in concrete structure |
| JP2001116730A (en) * | 1999-10-19 | 2001-04-27 | Ohbayashi Corp | Method for diagnosing inside of concrete structure |
| TW424060B (en) * | 2000-04-12 | 2001-03-01 | Lin Yi Ching | Quality testing method of concrete construction and its device |
| JP2008267897A (en) * | 2007-04-18 | 2008-11-06 | Shimizu Corp | Method of measuring cracks of critical depth on the surface of concrete |
| KR100974970B1 (en) * | 2009-07-03 | 2010-08-09 | 황익현 | Method for repairing road and repairing material used in the method |
| KR20110066353A (en) * | 2009-12-11 | 2011-06-17 | 엘지이노텍 주식회사 | Crack detecting system and crack detecting method |
| CN102156168B (en) * | 2011-03-04 | 2012-08-29 | 赵永贵 | Bridge prestressing force pore path grouting defect detection method |
| KR101110065B1 (en) * | 2011-06-16 | 2012-02-24 | 에스큐엔지니어링(주) | A process for reinforcing concrete construction by using polysuccinimide-based polymeric sealing material and a small-sized ultrasonic transducer apparatus |
| CN102788843A (en) * | 2012-03-26 | 2012-11-21 | 湖南致力工程检测技术有限公司 | Pre-stress pipeline squeezing quality low frequency ultrasonic array detection apparatus |
| CN103245732B (en) * | 2013-04-10 | 2015-07-08 | 湘潭大学 | Pipeline grouting mass stress wave detecting signal processing method based on wavelet extraction |
| CN103868992B (en) * | 2014-02-27 | 2016-05-25 | 黄河水利委员会黄河水利科学研究院 | There is the single lossless detection method of surveying surface concrete structure |
| CN106153727A (en) * | 2016-08-19 | 2016-11-23 | 中建七局(上海)有限公司 | A kind of building grouting plumpness detection device and detection method |
| CN108277926B (en) * | 2018-01-31 | 2019-09-03 | 昆山市建设工程质量检测中心 | Slurry anchor connection part grouting plumpness detection method with detection hole |
| CN109596710B (en) * | 2018-12-26 | 2021-06-01 | 哈尔滨工业大学（深圳） | Ultrasonic detection device and method for sleeve grouting defect based on wavelet packet energy |
| CN109991311B (en) * | 2019-04-09 | 2021-06-11 | 中国十七冶集团有限公司 | Factory building column reinforcing method and weld joint detection device thereof |
| CN110108864B (en) * | 2019-05-21 | 2022-01-28 | 湖南城市学院 | Nondestructive testing system and method for prestressed concrete beam |
-
2019
- 2019-08-22 CN CN201910779591.XA patent/CN110455917B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN110455917A (en) | 2019-11-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110455917B (en) | Concrete crack repair quality detection method | |
| CN110082429B (en) | Tunnel lining nondestructive testing auxiliary judgment method combining machine learning | |
| CN111487315A (en) | Audio frequency nondestructive testing method for tunnel lining thickness and void | |
| CN110954033A (en) | Concrete crack depth detection method and system | |
| CN104594395B (en) | A kind of method utilizing railway in operation roadbed side Bored Pile Foundation detection structure to carry out pile measurement | |
| CN107024535B (en) | A kind of polyphyly number depth detection method of the vertical defect based on surface wave | |
| Shin et al. | Crack depth estimation in concrete using energy transmission of surface waves | |
| Colla et al. | Influence of source frequency on impact-echo data quality for testing concrete structures | |
| CN110879252B (en) | Method for detecting quality of concrete junction surface by using sound waves | |
| JP7216884B2 (en) | Reflected wave evaluation method | |
| JP5815921B2 (en) | Defect evaluation apparatus for underground structure, defect evaluation method for underground structure, and defect evaluation program for underground structure | |
| Li et al. | Grout assessment of plastic ducts in prestressed structures with an HHT-based method | |
| JP4919396B2 (en) | Nondestructive inspection method for the degree of corrosion of reinforcing bars in concrete structures | |
| JP4553458B2 (en) | Tunnel diagnostic apparatus and method | |
| JP3523806B2 (en) | Defect inspection method in concrete structure | |
| KR101027069B1 (en) | Evaluation method for bonding state of shotcrete | |
| Ushakov et al. | Detection and measurement of surface cracks by the ultrasonic method for evaluating fatigue failure of metals | |
| CN110823926B (en) | Method for detecting quality of complex steel plate shear wall node based on ground penetrating radar scanning | |
| Hattori et al. | Crack sizing accuracy of a phased array ultrasonic scanner developed for inspection of rib-to-deck welded joints in orthotropic steel bridge decks | |
| Han et al. | Ultrasonic nondestructive testing of cement grouting quality in corrugated pipes based on impact-echo | |
| JP5612535B2 (en) | Material judgment method of laying cast iron pipe and laying cast iron pipe material judgment system | |
| POUR et al. | Scanning impact-echo techniques for crack depth determination | |
| Kachanov et al. | Problems of acoustic testing of large-size concrete building structures | |
| CN116482237A (en) | Standard test block for ultrasonic guided wave B-scan detection of electric power steel pipe pole | |
| Almallah | Delamination detection in concrete bridge decks using the constant phase approach in the analysis of air-coupled impact echo data |
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 |