CN114200007A - Method and equipment for detecting deep hinge joint defect of assembled hollow slab beam bridge - Google Patents
Method and equipment for detecting deep hinge joint defect of assembled hollow slab beam bridge Download PDFInfo
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- E—FIXED CONSTRUCTIONS
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- E01D—CONSTRUCTION OF BRIDGES, ELEVATED ROADWAYS OR VIADUCTS; ASSEMBLY OF BRIDGES
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Abstract
The invention discloses a method and equipment for detecting a deep hinge joint defect of an assembled hollow plate girder bridge, wherein the method comprises the following steps: arranging a measuring area at the bottom of the assembled hollow slab beam, and respectively arranging a transmitting transducer and a receiving transducer at two sides of a hinge joint seam in the measuring area; collecting T of ultrasonic actual measurement first arrival time from the transmitting transducer to the receiving transducerm(ii) a Establishing an initial slowness model, performing forward calculation on the initial slowness model, and calculating a ray path matrix R and a theoretical first arrival time T by adopting a ray tracing technologyc(ii) a According to the actual measurement first arrival time TmAnd theoretical first arrival time TcJudging whether a set convergence condition is met; when it is determined that the set convergence condition is satisfied, the process endsAnd calculating and outputting a speed distribution and a defect identification result. The conditions of untight pouring, concrete cavities, damage and the like in the deep hinge joint can be accurately identified, and the accuracy of defect detection is improved.
Description
Technical Field
The invention relates to the technical field of bridge detection, in particular to a method and equipment for detecting a deep hinge joint defect of an assembled hollow slab beam bridge.
Background
The assembled hollow plate girder bridge is a common structural form of a small and medium span bridge, each plate girder of the upper structure of the assembled hollow plate girder bridge is connected into a whole through a hinge joint to bear force together, the structural condition of the hinge joint plays a key role in maintaining normal working performance of the assembled hollow plate girder bridge, the transverse load transfer of the bridge structure can be influenced by the defects and damages of the hinge joint, and single plate stress can be generated in severe cases. The deep hinge joint is the main hinge joint structural style at present, and its tongue-and-groove degree of depth is darker in comparison with shallow hinge joint, receives structure space and construction condition restriction and operation load influence, and the deep hinge joint often can appear pouring not closely knit, concrete cavity and damaged circumstances, has great potential safety hazard. However, the deep hinge joint defect exists in the structure, and the covering of the bridge deck pavement layer makes the defect and the damage difficult to be directly observed, so that the method and the equipment for detecting the deep hinge joint defect of the assembled hollow slab girder bridge are urgently needed.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the art described above. Therefore, the first purpose of the invention is to provide a method for detecting the defect of the deep hinge joint of the fabricated hollow slab girder bridge, which can accurately identify the conditions of incompact pouring, concrete cavities, damage and the like in the deep hinge joint and improve the accuracy of defect detection.
The invention aims to provide a device for detecting the deep hinge joint defect of the assembled hollow slab girder bridge.
In order to achieve the above object, an embodiment of a first aspect of the present invention provides a method for detecting a deep hinge joint defect of an assembled hollow slab girder bridge, including:
arranging a measuring area at the bottom of the assembled hollow slab beam, and respectively arranging a transmitting transducer and a receiving transducer at two sides of a hinge joint seam in the measuring area;
collecting T of ultrasonic actual measurement first arrival time from the transmitting transducer to the receiving transducerm；
Establishing an initial slowness model, performing forward calculation on the initial slowness model, and calculating a ray path matrix R and a theoretical first arrival time T by adopting a ray tracing technologyc；
According to the actual measurement first arrival time TmAnd theoretical first arrival time TcJudging whether a set convergence condition is met;
and when the set convergence condition is determined to be met, finishing the calculation and outputting a speed distribution and defect identification result.
According to some embodiments of the invention, further comprising:
when the condition that the set convergence condition is not met is determined, establishing an acoustic time inversion linear equation;
RδS＝δT
wherein δ S is a correction amount vector of the medium slowness; delta T ═ Tm-TcMeasuring the first arrival time T for each measuring pointmAnd theoretical first arrival time TcA vector of the difference; r is a ray path matrix, and elements of the ray path matrix represent the length of each ray path in the cell;
solving an acoustic time inversion linear equation, then carrying out successive iterative inversion calculation, correcting the initial slowness model to obtain an inversion result, and obtaining a corrected slowness model according to the inversion result;
and performing forward calculation on the corrected slowness model.
According to some embodiments of the invention, the time T of the first arrival of the ultrasonic measurement from the transmitting transducer to the receiving transducer is acquiredmThe method comprises the following steps:
and acquiring a receiving ultrasonic waveform between the transmitting transducer and the receiving transducer, and preprocessing the ultrasonic waveform signal.
According to some embodiments of the invention, the pre-processing comprises signal denoising and signal filtering.
According to some embodiments of the invention, the measured first arrival time T is determined based on the measured first arrival timemAnd theoretical first arrival time TcJudging whether the set convergence condition is met or not, comprising the following steps:
calculating the time T of the actual measurement first arrivalmAnd theoretical first arrival time TcA difference of (d);
δT＝Tm-Tc
and setting a convergence condition as a preset difference value, and judging whether the difference value is smaller than the preset difference value.
According to some embodiments of the invention, the theoretical first arrival time T is calculatedcThe method comprises the following steps:
estimating the theoretical first arrival time T by RS ═ T based on the ray path matrix Rc。
According to some embodiments of the invention, further comprising:
and evaluating the quality of the concrete according to the speed distribution and the defect identification result, and determining the position, distribution and property of the defects.
In one embodiment, the pre-processing the ultrasonic waveform signal includes:
analyzing the ultrasonic waveform signals, determining the number of waveforms, and dividing the waveform signals according to the number of the waveforms to obtain a plurality of sub-waveform signals;
acquiring the wavelet energy density of each sub-waveform signal;
performing spectrum analysis and waveform feature extraction processing on the plurality of sub-waveform signals according to fast Fourier transform to obtain spectrum features and waveform features;
optimizing the initial mother wavelet function according to the frequency spectrum characteristics and the waveform characteristics to obtain an optimized mother wavelet function, and obtaining a first wavelet coefficient of a corresponding sub waveform signal according to the mother wavelet function; respectively carrying out threshold denoising processing on the obtained plurality of first wavelet coefficients to obtain a plurality of second wavelet coefficients; carrying out moving average filtering processing on the plurality of second wavelet coefficients to obtain third wavelet coefficients;
and performing inverse wavelet transform according to the wavelet energy density and the third wavelet coefficient to obtain a reconstructed waveform signal, and performing normalization processing on the reconstructed waveform signal.
In an embodiment, before acquiring the measured first arrival sound of the ultrasonic wave from the transmitting transducer to the receiving transducer, the method further includes:
testing the independent channels when the first arrival sound of the ultrasonic actual measurement from the transmitting transducer to the receiving transducer is acquired, acquiring parameter information of each independent channel, determining quality grade according to the parameter information, and establishing a first queuing queue according to the quality grade from high to low;
establishing a corresponding relation between a transmitting transducer and a receiving transducer, generating an acquisition task, acquiring the priority level of the acquisition task, and establishing a second queuing queue according to the priority level from high to low;
and obtaining an allocation mode according to the number of the collection tasks in the second queuing queue and the number of the independent channels in the first queuing queue.
In order to achieve the above object, a second embodiment of the present invention provides an assembled hollow slab girder bridge deep hinge joint defect detecting apparatus, including:
the transmitting transducer is arranged on one side of the hinge joint seam of the measuring area arranged at the bottom of the assembled hollow slab beam;
the receiving transducer is arranged on the other side of the hinge joint seam of the measuring area arranged at the bottom of the assembled hollow slab beam;
a host to:
collecting T of ultrasonic actual measurement first arrival time from the transmitting transducer to the receiving transducerm；
Establishing an initial slowness model, performing forward calculation on the initial slowness model, and calculating a ray path matrix R and a theoretical first arrival time T by adopting a ray tracing technologyc；
According to the actual measurement first arrival time TmAnd theoretical first arrival time TcJudging whether a set convergence condition is met;
and when the set convergence condition is determined to be met, finishing the calculation and outputting a speed distribution and defect identification result.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of a method for detecting a deep hinge joint defect of an assembled hollow slab girder bridge according to an embodiment of the invention;
FIG. 2 is a schematic diagram of a transmit transducer and receive transducer arrangement according to one embodiment of the present invention;
FIG. 3 is a flow chart of a method for detecting a deep hinge joint defect of an assembled hollow slab girder bridge according to another embodiment of the invention;
fig. 4 is a block diagram of an assembled hollow slab girder bridge deep hinge joint defect detection apparatus according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
As shown in fig. 1-2, an embodiment of the first aspect of the present invention provides a method for detecting a deep hinge joint defect of an assembled hollow slab girder bridge, including steps S1-S5:
s1, arranging a measuring area at the bottom of the assembled hollow slab beam, and arranging a transmitting transducer and a receiving transducer on two sides of a hinge joint seam in the measuring area respectively;
s2, collecting the emission transformTime T of ultrasonic actual measurement first arrival from energy device to receiving transducerm；
S3, establishing an initial slowness model, performing forward calculation on the initial slowness model, and calculating a ray path matrix R and a theoretical first arrival time T by adopting a ray tracing technologyc；
S4, according to the actual measurement first arrival time TmAnd theoretical first arrival time TcJudging whether a set convergence condition is met;
and S5, when the set convergence condition is determined to be satisfied, finishing the calculation and outputting the speed distribution and the defect identification result.
The working principle of the technical scheme is as follows: arranging a measuring area at the bottom of the assembled hollow slab beam, and respectively arranging a transmitting transducer and a receiving transducer at two sides of a hinge joint seam in the measuring area; collecting T of ultrasonic actual measurement first arrival time from the transmitting transducer to the receiving transducerm(ii) a Establishing an initial slowness model, performing forward calculation on the initial slowness model, and calculating a ray path matrix R and a theoretical first arrival time T by adopting a ray tracing technologyc(ii) a According to the actual measurement first arrival time TmAnd theoretical first arrival time TcJudging whether a set convergence condition is met; and when the set convergence condition is determined to be met, finishing the calculation and outputting a speed distribution and defect identification result. The initial slowness model is set to S0.
The beneficial effects of the above technical scheme are that: the conditions of untight pouring, concrete cavities, damage and the like in the deep hinge joint can be accurately identified, and the accuracy of defect detection is improved.
As shown in fig. 3, according to some embodiments of the invention, further comprising:
when the condition that the set convergence condition is not met is determined, establishing an acoustic time inversion linear equation;
RδS＝δT
wherein δ S is a correction amount vector of the medium slowness; delta T ═ Tm-TcMeasuring the first arrival time T for each measuring pointmAnd theoretical first arrival time TcA vector of the difference; r is a ray path matrix, and elements of the ray path matrix represent the length of each ray path in the cell;
solving an acoustic time inversion linear equation, then carrying out successive iterative inversion calculation, correcting the initial slowness model to obtain an inversion result, and obtaining a corrected slowness model according to the inversion result;
and performing forward calculation on the corrected slowness model.
The working principle of the technical scheme is as follows: when the condition that the set convergence condition is not met is determined, establishing an acoustic time inversion linear equation; r δ S ═ δ T where δ S is a correction amount vector of medium slowness; delta T ═ Tm-TcMeasuring the first arrival time T for each measuring pointmAnd theoretical first arrival time TcA vector of the difference; r is a ray path matrix, and elements of the ray path matrix represent the length of each ray path in the cell; solving an acoustic time inversion linear equation, then carrying out successive iterative inversion calculation, correcting the initial slowness model to obtain an inversion result, and obtaining a corrected slowness model according to the inversion result; and performing forward calculation on the corrected slowness model. When the linear equation is inverted during solving the sound, the delta S is inversely solved, and the slowness vector S is correctedk＝Sk-1+δSk-1；δSk-1The correction vector for the medium slowness for the (k-1) th iteration.
The beneficial effects of the above technical scheme are that: the initial slowness model is corrected, the corrected slowness model is accurately obtained, accuracy of forward calculation of the corrected slowness model is improved, and accuracy of defect identification is improved.
According to some embodiments of the invention, the time T of the first arrival of the ultrasonic measurement from the transmitting transducer to the receiving transducer is acquiredmThe method comprises the following steps:
and acquiring a receiving ultrasonic waveform between the transmitting transducer and the receiving transducer, and preprocessing the ultrasonic waveform signal.
The working principle of the technical scheme is as follows: and acquiring a receiving ultrasonic waveform between the transmitting transducer and the receiving transducer, and preprocessing the ultrasonic waveform signal.
The beneficial effects of the above technical scheme are that: the ultrasonic waveform after being preprocessed is convenient to obtain accurate actual measurement first arrival sound, and acquisition errors are reduced.
According to some embodiments of the invention, the pre-processing comprises signal denoising and signal filtering.
The beneficial effects of the above technical scheme are that: the noise is convenient to eliminate, and the calculation accuracy is improved.
According to some embodiments of the invention, the measured first arrival time T is determined based on the measured first arrival timemAnd theoretical first arrival time TcJudging whether the set convergence condition is met or not, comprising the following steps:
calculating the time T of the actual measurement first arrivalmAnd theoretical first arrival time TcA difference of (d);
δT＝Tm-Tc
and setting a convergence condition as a preset difference value, and judging whether the difference value is smaller than the preset difference value.
The working principle of the technical scheme is as follows: calculating the difference value between the actual measurement first arrival sound time and the theoretical first arrival sound time; and setting a convergence condition as a preset difference value, and judging whether the difference value is smaller than the preset difference value. The preset difference value can control the recognition precision, and the preset difference value is obtained through multiple experiments.
The beneficial effects of the above technical scheme are that: the calculation complexity is reduced, whether the difference between the actual measurement first arrival sound and the theoretical first arrival sound is smaller than the preset difference or not is conveniently and accurately determined, and the judgment rate is improved.
According to some embodiments of the invention, the theoretical first arrival time T is calculatedcThe method comprises the following steps:
estimating the theoretical first arrival time T by RS ═ T based on the ray path matrix Rc。
The working principle of the technical scheme is as follows: from the ray path matrix R, the theoretical first arrival time is estimated by RS ═ T.
The beneficial effects of the above technical scheme are that: the accuracy of determining the theoretical first arrival is improved.
According to some embodiments of the invention, further comprising:
and evaluating the quality of the concrete according to the speed distribution and the defect identification result, and determining the position, distribution and property of the defects.
The beneficial effects of the above technical scheme are that: the corresponding relation between the speed distribution and the defect information is established, the internal defects of the structure can be accurately identified according to the speed distribution, the accuracy of identifying the defects is improved, the defect results are displayed, and direct observation is facilitated.
In one embodiment, upon determining that a concrete void is present within the deep hinge joint, cement, sand, stone, and water are mixed to obtain concrete that fills the void and fill the void.
The method for determining the mass parts of cement, sand, stone and water comprises the following steps:
mixing cement, sand, stone and water according to different mass parts, meeting preset stirring conditions and environment temperature during mixing, recording attribute information of the mixture during mixing of different mass parts of cement, sand, stone and water each time, and recording the mass parts of cement, sand, stone and water to obtain Q records when the attribute information is determined to be within a preset attribute information range; forming a corresponding matrix A according to the Q records; the matrix A comprises Q rows and 4 columns; representing one record in each row of the matrix A, wherein the 1 st column of the matrix A represents the mass part of cement; the 2 nd column of the matrix A represents the mass part of sand, and the 3 rd column of the matrix A represents the mass part of stone; column 4 of the matrix a represents the mass fraction of water;
calculating the adjustment amount of each column in the matrix A in parts by mass:
wherein, FiAn adjustment amount of the ith column in the matrix A in parts by mass; q is the total number of rows of the matrix A; a isijA value representing the ith column and jth row of matrix A; a isitA value representing the ith column, the tth row of matrix a; w is the stirring rate during mixing; ln () is a logarithm based on a natural constant e, i is 1, 2, 3, 4; j is 1, 2, 3, … … Q;
calculating an adjustment coefficient of each column according to the adjustment amount of the mass part of each column:
wherein, UiThe adjustment coefficient of the ith column of the matrix A; lg is the logarithm to the base of 10; and calculating the mass parts of cement, sand, stone and water according to the adjustment coefficients of each column:
wherein G isiIn parts by mass in column i.
The working principle and the beneficial effects of the technical scheme are as follows: when a concrete cavity is determined to appear in the deep hinge joint, mixing cement, sand, stone and water to obtain concrete for filling the cavity and filling the concrete, eliminating the defect of the deep hinge joint of the assembled hollow slab girder bridge, improving the quality of the assembled hollow slab girder bridge and consuming potential safety hazards. In order to mix the concrete to obtain the concrete with the quality, the cement, the sand, the stone and the water are mixed to carry out a plurality of experiments, the mass parts of the cement, the sand, the stone and the water are accurately determined, the quality of the configured concrete is improved, and the defects of the beam bridge are reduced. When determining the mass parts of cement, sand, stone and water, firstly, analyzing a plurality of groups of experimental data, determining the adjustment amount of the corresponding material, further calculating the adjustment coefficient according to the adjustment amount, further accurately calculating the mass parts of the corresponding material, and further determining the most appropriate proportioning relation. The attribute information includes a hardness parameter or a viscosity parameter or a degree of mixing parameter.
In one embodiment, the pre-processing the ultrasonic waveform signal includes:
analyzing the ultrasonic waveform signals, determining the number of waveforms, and dividing the waveform signals according to the number of the waveforms to obtain a plurality of sub-waveform signals;
acquiring the wavelet energy density of each sub-waveform signal;
performing spectrum analysis and waveform feature extraction processing on the plurality of sub-waveform signals according to fast Fourier transform to obtain spectrum features and waveform features;
optimizing the initial mother wavelet function according to the frequency spectrum characteristics and the waveform characteristics to obtain an optimized mother wavelet function, and obtaining a first wavelet coefficient of a corresponding sub waveform signal according to the mother wavelet function; respectively carrying out threshold denoising processing on the obtained plurality of first wavelet coefficients to obtain a plurality of second wavelet coefficients; carrying out moving average filtering processing on the plurality of second wavelet coefficients to obtain third wavelet coefficients;
and performing inverse wavelet transform according to the wavelet energy density and the third wavelet coefficient to obtain a reconstructed waveform signal, and performing normalization processing on the reconstructed waveform signal.
The working principle of the technical scheme is as follows: analyzing the ultrasonic waveform signals, determining the number of waveforms, and dividing the waveform signals according to the number of the waveforms to obtain a plurality of sub-waveform signals; acquiring the wavelet energy density of each sub-waveform signal; performing spectrum analysis and waveform feature extraction processing on the plurality of sub-waveform signals according to fast Fourier transform to obtain spectrum features and waveform features; optimizing the initial mother wavelet function according to the frequency spectrum characteristics and the waveform characteristics to obtain an optimized mother wavelet function, and obtaining a first wavelet coefficient of a corresponding sub waveform signal according to the mother wavelet function; respectively carrying out threshold denoising processing on the obtained plurality of first wavelet coefficients to obtain a plurality of second wavelet coefficients; carrying out moving average filtering processing on the plurality of second wavelet coefficients to obtain third wavelet coefficients; and performing inverse wavelet transform according to the wavelet energy density and the third wavelet coefficient to obtain a reconstructed waveform signal, and performing normalization processing on the reconstructed waveform signal.
The beneficial effects of the above technical scheme are that: performing signal segmentation on the waveform signals according to the waveform quantity to obtain the wavelet energy density of each sub-waveform signal; the threshold denoising treatment is that the threshold is dynamically adjusted along with the noise in the wavelet signal so as to achieve a better denoising effect; the moving average filtering process is to determine proper parameters according to each sub-waveform signal to avoid the distortion of the sub-waveform signal and maximally preserve the detail characteristics of the sub-waveform signal. Through multiple processing, the third wavelet coefficient more accurately ensures the detail characteristics of each wavelet signal, and simultaneously achieves a better denoising effect. And performing inverse wavelet transformation according to the wavelet energy density and the third wavelet coefficient, and considering that the wavelet energy density of each wavelet signal is determined according to the third wavelet coefficient determined by the wavelet signal, so that the accuracy of the reconstructed waveform signal is improved, the signal-to-noise ratio and the resolution are improved, the reconstructed waveform signal is normalized, and the signal processing is facilitated.
In an embodiment, before acquiring the measured first arrival sound of the ultrasonic wave from the transmitting transducer to the receiving transducer, the method further includes:
testing the independent channels when the first arrival sound of the ultrasonic actual measurement from the transmitting transducer to the receiving transducer is acquired, acquiring parameter information of each independent channel, determining quality grade according to the parameter information, and establishing a first queuing queue according to the quality grade from high to low;
establishing a corresponding relation between a transmitting transducer and a receiving transducer, generating an acquisition task, acquiring the priority level of the acquisition task, and establishing a second queuing queue according to the priority level from high to low;
and obtaining an allocation mode according to the number of the collection tasks in the second queuing queue and the number of the independent channels in the first queuing queue.
The working principle of the technical scheme is as follows: testing the independent channels when the first arrival sound of the ultrasonic actual measurement from the transmitting transducer to the receiving transducer is acquired, acquiring parameter information of each independent channel, determining quality grade according to the parameter information, and establishing a first queuing queue according to the quality grade from high to low; establishing a corresponding relation between a transmitting transducer and a receiving transducer, generating an acquisition task, acquiring the priority level of the acquisition task, and establishing a second queuing queue according to the priority level from high to low; and obtaining an allocation mode according to the number of the collection tasks in the second queuing queue and the number of the independent channels in the first queuing queue. The allocation may be such that the number of acquisition tasks in the second queuing queue is divided by the number of independent channels in the first queuing queue, for example 100 divided by 16, resulting in 6 with a remainder of 4; during distribution, the first 4 independent channels in the first queuing queue are all distributed with 7 acquisition tasks in the second queuing queue, and the subsequent 12 independent channels are all distributed with 6 acquisition tasks.
The beneficial effects of the above technical scheme are that: the quality grade of the independent channel and the priority grade of the acquisition task are reasonably distributed, so that the completion efficiency of the acquisition task is improved, the response capability of the system is improved, and the effective distribution of the resource of the independent channel is realized.
As shown in fig. 4, a second embodiment of the present invention provides an assembled hollow slab girder bridge deep hinge joint defect detection apparatus, including:
the transmitting transducer is arranged on one side of the hinge joint seam of the measuring area arranged at the bottom of the assembled hollow slab beam;
the receiving transducer is arranged on the other side of the hinge joint seam of the measuring area arranged at the bottom of the assembled hollow slab beam;
a host to:
collecting T of ultrasonic actual measurement first arrival time from the transmitting transducer to the receiving transducerm；
Establishing an initial slowness model, performing forward calculation on the initial slowness model, and calculating a ray path matrix R and a theoretical first arrival time T by adopting a ray tracing technologyc；
According to the actual measurement first arrival time TmAnd theoretical first arrival time TcJudging whether a set convergence condition is met;
and when the set convergence condition is determined to be met, finishing the calculation and outputting a speed distribution and defect identification result.
The working principle of the technical scheme is as follows: the transmitting transducer is arranged on one side of the hinge joint seam of the measuring area arranged at the bottom of the assembled hollow slab beam; the receiving transducer is arranged on the other side of the hinge joint seam of the measuring area arranged at the bottom of the assembled hollow slab beam; a host to: collecting T of ultrasonic actual measurement first arrival time from the transmitting transducer to the receiving transducerm(ii) a Establishing an initial slowness model, performing forward calculation on the initial slowness model, and calculating a ray path matrix R and a theoretical first arrival time T by adopting a ray tracing technologyc(ii) a According to the actual measurement first arrival time TmAnd theoretical first arrival time TcJudging whether a set convergence condition is met; and when the set convergence condition is determined to be met, finishing the calculation and outputting a speed distribution and defect identification result. The initial slowness model is set to S0.
The beneficial effects of the above technical scheme are that: the conditions of untight pouring, concrete cavities, damage and the like in the deep hinge joint can be accurately identified, and the accuracy of defect detection is improved.
In one embodiment, the host computer is composed of a microcomputer, an excitation circuit module, an acquisition system and matched software; the transmitting transducer comprises a surface rare earth supermagnetic seismic source transducer and a surface piezoelectric transmitting transducer; the receiving transducer comprises a surface piezoelectric receiving transducer; the corresponding detection software is loaded on the host computer. The host, the transmitting transducer and the receiving transducer are connected through cables.
The equipment for detecting the deep hinge joint defect of the assembled hollow slab beam bridge has the following characteristics:
(1) the equipment controls the setting of parameters and the acquisition of data by a computer; the touch screen operation and the mouse operation can be used, and the device is suitable for outdoor working environments.
(2) The hardware of the equipment is completely integrated in a special engineering equipment box, particularly the integration of a rare earth super-magnetic excitation circuit module and an acquisition system, and the unification of multi-mode sound wave emission and equipment portability is realized.
(3) The device is provided with 16 independent channels, the highest sampling frequency of each channel can reach 20MHz, one-shot multi-shot or sensor array test can be conveniently carried out, the working efficiency is high, and the reading precision of the sound wave first arrival time is high.
(4) The equipment software has various waveform displays; time reading, CT analysis and the like.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. The method for detecting the deep hinge joint defect of the assembled hollow slab beam bridge is characterized by comprising the following steps of:
arranging a measuring area at the bottom of the assembled hollow slab beam, and respectively arranging a transmitting transducer and a receiving transducer at two sides of a hinge joint seam in the measuring area;
collecting T of ultrasonic actual measurement first arrival time from the transmitting transducer to the receiving transducerm；
Establishing an initial slowness model, performing forward calculation on the initial slowness model, and calculating a ray path matrix R and a theoretical first arrival time T by adopting a ray tracing technologyc；
According to the actual measurement first arrival time TmAnd theoretical first arrival time TcJudging whether a set convergence condition is met;
and when the set convergence condition is determined to be met, finishing the calculation and outputting a speed distribution and defect identification result.
2. The method for detecting the deep hinge joint defect of the fabricated hollow plate girder bridge according to claim 1, further comprising:
when the condition that the set convergence condition is not met is determined, establishing an acoustic time inversion linear equation;
RδS＝δT
wherein δ S is a correction amount vector of the medium slowness; delta T ═ Tm-TcMeasuring the first arrival time T for each measuring pointmAnd theoretical first arrival time TcA vector of the difference; r is a ray path matrix, and elements of the ray path matrix represent the length of each ray path in the cell;
solving an acoustic time inversion linear equation, then carrying out successive iterative inversion calculation, correcting the initial slowness model to obtain an inversion result, and obtaining a corrected slowness model according to the inversion result;
and performing forward calculation on the corrected slowness model.
3. The method for detecting the deep hinge joint defect of the fabricated hollow plate girder bridge according to claim 1, wherein T is acquired when the first arrival sound of the ultrasonic actual measurement from the transmitting transducer to the receiving transducer is measuredmThe method comprises the following steps:
and acquiring a receiving ultrasonic waveform between the transmitting transducer and the receiving transducer, and preprocessing the ultrasonic waveform signal.
4. The method for detecting the deep hinge joint defect of the fabricated hollow plate girder bridge according to claim 3, wherein the preprocessing comprises signal denoising and signal filtering.
5. The method for detecting the deep hinge joint defect of the fabricated hollow plate girder bridge according to claim 1, wherein T is measured according to the actual measurement first arrival timemAnd theoretical first arrival time TcJudging whether the set convergence condition is met or not, comprising the following steps:
calculating the time T of the actual measurement first arrivalmAnd theoretical first arrival time TcA difference of (d);
δT＝Tm-Tc
and setting a convergence condition as a preset difference value, and judging whether the difference value is smaller than the preset difference value.
6. The method for detecting the deep hinge joint defect of the fabricated hollow plate girder bridge according to claim 1, wherein T is calculated during theoretical first arrival timecThe method comprises the following steps:
estimating the theoretical first arrival time T by RS ═ T based on the ray path matrix Rc。
7. The method for detecting the deep hinge joint defect of the fabricated hollow plate girder bridge according to claim 1, further comprising:
and evaluating the quality of the concrete according to the speed distribution and the defect identification result, and determining the position, distribution and property of the defects.
8. The method for detecting the deep hinge joint defect of the fabricated hollow plate girder bridge according to claim 3, wherein the preprocessing of the ultrasonic waveform signal comprises:
analyzing the ultrasonic waveform signals, determining the number of waveforms, and dividing the waveform signals according to the number of the waveforms to obtain a plurality of sub-waveform signals;
acquiring the wavelet energy density of each sub-waveform signal;
performing spectrum analysis and waveform feature extraction processing on the plurality of sub-waveform signals according to fast Fourier transform to obtain spectrum features and waveform features;
optimizing the initial mother wavelet function according to the frequency spectrum characteristics and the waveform characteristics to obtain an optimized mother wavelet function, and obtaining a first wavelet coefficient of a corresponding sub waveform signal according to the mother wavelet function; respectively carrying out threshold denoising processing on the obtained plurality of first wavelet coefficients to obtain a plurality of second wavelet coefficients; carrying out moving average filtering processing on the plurality of second wavelet coefficients to obtain third wavelet coefficients;
and performing inverse wavelet transform according to the wavelet energy density and the third wavelet coefficient to obtain a reconstructed waveform signal, and performing normalization processing on the reconstructed waveform signal.
9. The method for detecting the deep hinge joint defect of the fabricated hollow plate girder bridge according to claim 1, wherein before the step of collecting the first arrival sound of the ultrasonic actual measurement from the transmitting transducer to the receiving transducer, the method further comprises the following steps:
testing the independent channels when the first arrival sound of the ultrasonic actual measurement from the transmitting transducer to the receiving transducer is acquired, acquiring parameter information of each independent channel, determining quality grade according to the parameter information, and establishing a first queuing queue according to the quality grade from high to low;
establishing a corresponding relation between a transmitting transducer and a receiving transducer, generating an acquisition task, acquiring the priority level of the acquisition task, and establishing a second queuing queue according to the priority level from high to low;
and obtaining an allocation mode according to the number of the collection tasks in the second queuing queue and the number of the independent channels in the first queuing queue.
10. The utility model provides a dark hinge joint defect detecting equipment of assembled hollow slab beam bridge which characterized in that includes:
the transmitting transducer is arranged on one side of the hinge joint seam of the measuring area arranged at the bottom of the assembled hollow slab beam;
the receiving transducer is arranged on the other side of the hinge joint seam of the measuring area arranged at the bottom of the assembled hollow slab beam;
a host to:
collecting T of ultrasonic actual measurement first arrival time from the transmitting transducer to the receiving transducerm；
Establishing an initial slowness model, performing forward calculation on the initial slowness model, and calculating a ray path matrix R and a theoretical first arrival time T by adopting a ray tracing technologyc；
According to the actual measurement first arrival time TmAnd theoretical first arrival time TcJudging whether a set convergence condition is met;
and when the set convergence condition is determined to be met, finishing the calculation and outputting a speed distribution and defect identification result.
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