An underwater concrete panel damage detection device and method thereof

Abstract

The present invention discloses an underwater concrete panel damage detection device and method. The distributed optical fiber sensor is pre-cast or bonded and attached to the concrete panel of the rockfill dam according to certain rules, and the spatial position coordinates of the sampling points are calculated through the coordinate transformation relationship to form a vibration response signal sensing network. A gear-type rolling body is controlled by a carrier tool and a winch to roll on the concrete panel of the rockfill dam for vibration excitation. The dynamic strain response signal is obtained through the distributed optical fiber sensor attached to the concrete panel of the rockfill dam. After the monitoring results are pre-processed by the lower computer, a damage index is established according to the transfer function for damage identification, and the results are returned to the upper computer for display and storage. The present invention can reduce the complexity of system sensor arrangement and communication cable wiring, reduce the system operation and maintenance costs, and improve the environmental adaptability of the detection method.

Description

Technical Field

[0001] The present invention relates to an underwater concrete panel damage detection device and method, belonging to the technical field of damage detection. Background Art

[0002] The concrete panel of a rockfill dam is an anti-seepage structure for rockfill materials. Affected by environmental factors and load effects during construction and operation, various structural and non-structural damages may occur to the concrete panel, and most of the damages are located underwater. Damage detection technology can diagnose the damage to the concrete panel of a rockfill dam without causing damage to it. The damage detection technology based on the structural vibration response is an important and widely used technical means among them.

[0003] In terms of the damage detection system based on vibration response, in the traditional detection system, a harmonic or non-harmonic excitation force is usually applied to the concrete panel of a rockfill dam through a force hammer or an exciter, and the vibration response signal of the concrete panel of a rockfill dam is mainly obtained through point sensors such as acceleration sensors or strain gauges. For large-scale concrete panels of rockfill dams underwater with complex working environments, it is usually difficult to control the application of excitation and obtain excitation information. At the same time, when using point sensors to obtain the vibration response signal of the concrete panel of a rockfill dam, multiple sensors need to be arranged to jointly form a sensing network. The installation and layout of point sensors, the wiring of communication cables, and system integration are complex. The detection system has poor environmental adaptability and high installation and maintenance costs.

[0004] In terms of the damage detection method based on vibration response, at present, traditional modal parameter identification methods are widely used, but the environmental conditions during the service process of structures can mostly not meet the conditions required for traditional modal test analysis. For example: in traditional modal parameter identification methods, the restraint state of the concrete panel of a rockfill dam has a great influence on the results, and it is often necessary to separate it from its original working state, which is obviously not feasible for the underwater concrete panel of a rockfill dam. And the identification of modal parameters requires both excitation and response information at the same time. However, for the relatively complex underwater environment of the concrete panel of a rockfill dam underwater, it is usually difficult to control the application of excitation and obtain excitation information. The environmental adaptability of traditional detection methods is low and has great limitations. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to overcome the defects of the prior art and provide an underwater concrete panel damage detection device and method.

[0006] To achieve the above object, the present invention provides an underwater concrete panel damage detection device,

[0007] It includes a dynamic strain response signal sensing network, which is used to obtain the dynamic strain response signal of the concrete face slab of the rockfill dam after being vibrationally excited.

[0008] The dynamic strain response signal sensing network includes a number of distributed optical fiber sensors, which are pre-buried inside the concrete face slab of the rockfill dam or adhesively attached to the surface of the concrete face slab of the rockfill dam according to a certain layout rule.

[0009] Preferably, it further includes an excitation source, which is used to perform vibration excitation on the concrete face slab of the rockfill dam.

[0010] Preferably, the excitation source includes a gear-type rolling body and a hoist carrier tool. The gear-type rolling body is towed by the hoist carrier tool. The gear-type rolling body moves along two directions of the slope of the concrete face slab of the rockfill dam and the axis of the dam crest. The gear-type rolling body is used to apply a moving load on the concrete face slab of the rockfill dam to realize vibration excitation of the concrete face slab of the rockfill dam.

[0011] Preferably, it includes a lower computer station, which is used to process and calculate the dynamic strain response signal of the concrete face slab after being vibrationally excited to obtain the coordinates of the damage.

[0012] Preferably, it includes an upper computer station, which is used to control the excitation source to perform vibration excitation and is used to display and store the coordinates of the damage.

[0013] An underwater concrete face slab damage detection method uses the device described in any one of the above, and performs the following steps:

[0014] Step A: Pre-bury the distributed optical fiber sensors inside the concrete face slab of the rockfill dam or adhesively attach them to the surface of the concrete face slab of the rockfill dam according to a certain layout rule;

[0015] Select the spatial resolution and sampling interval of the distributed optical fiber sensors, and use the sampling points of the distributed optical fiber sensors to form a dynamic strain response signal sensing network;

[0016] Step B: Select reference points in the space of the concrete face slab of the rockfill dam, and establish a spatial coordinate system of the concrete face slab of the rockfill dam with the reference points as the coordinate origin;

[0017] Based on the layout rule, spatial resolution and sampling interval of the distributed optical fiber sensors, establish the corresponding relationship between the position coordinate S of the sampling points on the coordinate system in the length direction of the distributed optical fiber sensors and the position coordinate P of the sampling points on the spatial coordinate system established with the reference points as the coordinate origin:

[0018] P = SA + B;

[0019] Where: P is the position coordinate matrix of each sampling point in the space coordinate system of the concrete face slab of the rockfill dam; S is the position coordinate vector of each sampling point in the coordinate system along the length direction of the distributed optical fiber sensor; A and B are parameter matrices in the linear conversion relationship;

[0020] Step C: The gear-type rolling element rolls on the concrete face slab of the rockfill dam to apply vibration excitation to the concrete face slab of the rockfill dam;

[0021] Step D: Through the amplitude transfer - Brillouin optical time domain analysis technology, collect the dynamic strain response signals of each sampling point in the dynamic strain response signal sensing network, and preprocess the dynamic strain response signals;

[0022] Step E: Calculate the transfer function between sampling points according to the preprocessed dynamic strain response signals and the position coordinates of the preprocessed dynamic strain response signals in the space coordinate system of the concrete face slab of the rockfill dam;

[0023] Use the transfer functions between the above sampling points to form the dynamic strain response transfer matrix of the concrete face slab of the rockfill dam;

[0024] Each sampling point corresponds one-to-one with the spatial position coordinates:

[0025] ε k = ε(i, j);

[0026] Where: k = 1, 2,..., N, N is the number of sampling points; i is the abscissa of the sampling point in the space coordinate system of the concrete face slab of the rockfill dam, and j is the ordinate of the sampling point in the space coordinate system of the concrete face slab of the rockfill dam; ε k is the k-th preprocessed dynamic strain time domain response signal; ε(i, j) is the preprocessed dynamic strain time domain response signal corresponding to the coordinates (i, j).

[0027] Preferably, based on the known position coordinates of the sampling points in the space coordinate system of the concrete face slab of the rockfill dam and the known position coordinates of the sampling points in the coordinate system along the length direction of the distributed optical fiber sensor, the parameter matrices A and B in the linear conversion relationship are obtained.

[0028] Preferably, the expression of the transfer function between sampling points is:

[0029]

[0030] Where: p = 1, 2,..., N; q = 1, 2,..., N; ε p (ω) is the Fourier transform of the p-th preprocessed time domain dynamic strain response signal; ε q (ω) is the Fourier transform of the q-th preprocessed time domain dynamic strain response signal; T p,q$(\omega)$ is the element of the transfer rate matrix $T$ of the dynamic strain response of the concrete face slab of the rockfill dam;

[0031] Step F: Using the transfer rate function between sampling points, calculate the transfer rate matrix $T$ when obtaining the transfer rate matrix of the initial state or non-damaged state of the concrete face slab of the rockfill dam u and the transfer rate matrix $T$ of the state of the concrete face slab of the rockfill dam at time $t$ t ;

[0032] The lower computer analyzes the transfer rate matrix $T$ of the initial state or non-damaged state of the concrete face slab of the rockfill dam u and the transfer rate matrix $T$ of the state of the concrete face slab of the rockfill dam at time $t$ t to establish a damage index.

[0033] Preferably, in step F, the lower computer analyzes the transfer rate matrix $T$ u and the transfer rate matrix $T$ t to establish a damage index, which is realized through the following steps:

[0034] Use the Euclidean distance or Mahalanobis distance between the elements of the transfer rate matrix to characterize the difference between the transfer rate matrix $T$ u and the transfer rate matrix $T$ t as a damage index;

[0035] Based on the damage index, obtain the spatial position coordinates corresponding to the elements in the transfer rate matrix;

[0036] Send the above damage index and the coordinates of the damage to the upper computer for display and storage.

[0037] Preferably, the preprocessing includes calibration, trend item removal, and smoothing and denoising.

[0038] The beneficial effects achieved by the present invention:

[0039] The invention discloses an underwater concrete face slab damage detection device and method based on fiber optic dynamic strain sensing. The distributed fiber optic sensors are pre-cast or bonded and attached to the concrete face slab of the rockfill dam according to certain rules, and the spatial position coordinates of the sampling points are solved through the coordinate transformation relationship to form a vibration response signal sensing network; the gear-type rolling body is controlled to roll on the concrete face slab of the rockfill dam through a carrier and a winch to perform vibration excitation on it; the dynamic strain response signal is obtained through the distributed fiber optic sensors attached to the concrete face slab of the rockfill dam; after preprocessing the monitoring results by the lower computer, a damage index is established according to the transfer rate function for damage identification, and the results are returned to the upper computer for display and storage; thus, it can be seen. The detection system and method proposed by the present invention can reduce the complexity of the sensor arrangement and communication cable wiring of the system, reduce the operation and maintenance costs of the system, and improve the environmental adaptability of the detection system and detection method. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 is a schematic structural diagram of the present invention;

[0041] Figure 2 is a schematic diagram of coordinate transformation of the present invention;

[0042] Figure 3 is a schematic structural diagram of the present invention.

[0043] In the figure, 101 is the concrete face slab of the rockfill dam, 102 is the distributed optical fiber sensor, 103 is the sampling point, 104 is the lower computer position, 105 is the upper computer position, 106 is the dynamic strain response signal, 107 is the gear-type rolling element, 201 is the coordinate system in the length direction of the distributed optical fiber sensor, 202 is the reference point, 203 is the space coordinate system of the concrete face slab of the rockfill dam, 204 is Example I, 205 is Example II, and 301 is the rockfill dam. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] The following embodiments are only used to more clearly illustrate the technical solutions of the present invention and cannot be used to limit the protection scope of the present invention.

[0045] It should be noted that if there are directional indications (such as up, down, left, right, front, back...) in the embodiments of the present invention, they are only used to explain the relative position relationship and movement conditions between components in a specific posture. If the specific posture changes, the directional indications will also change accordingly.

[0046] As Figure 1 shown, an underwater concrete face slab damage detection device includes an excitation source, a dynamic strain response signal sensing network, a lower computer position 104 and an upper computer position 105. The excitation source is used to perform vibration excitation on the concrete face slab 101 of the rockfill dam. The sensing network is used to obtain the dynamic strain response signal 106 of the concrete face slab 101 of the rockfill dam after being excited. The lower computer position 104 is used to process and calculate the dynamic strain 106 in the sensing network. The upper computer position 105 is used to control the excitation source and display and store the processing and calculation results of the lower computer position 104.

[0047] As Figure 1 、 3As shown in the figure, as a further preferred embodiment of the present invention, the excitation source includes a gear-type rolling element 107 and a hoist carrier. The gear-type rolling element 107 is towed by the hoist carrier. The gear-type rolling element 107 moves in two directions along the panel inclination and the crest axis of the dam. The gear-type rolling element 107 is used to apply a moving load on the concrete face slab 101 of the rockfill dam to perform vibration excitation on the concrete face slab 101 of the rockfill dam. The pitch, tooth thickness, tooth height, and the size of the rolling element itself need to be comprehensively selected according to the actual size of the concrete face slab 101 of the rockfill dam, the excitation requirements, and ensuring that the gear-type rolling element 107 can freely roll on the concrete face slab 101 of the rockfill dam.

[0048] As Figure 1 shown in the figure, as a further preferred embodiment of the present invention, the dynamic strain response signal sensing network includes a plurality of distributed optical fiber sensors 102. The plurality of distributed optical fiber sensors 102 are pre-buried inside the concrete face slab 101 of the rockfill dam or adhesively attached to the surface of the concrete face slab 101 of the rockfill dam according to a certain arrangement rule.

[0049] As Figures 1-3 shown in the figure, according to another aspect of the embodiment of the present invention, a method for detecting damage to an underwater concrete face slab based on optical fiber dynamic strain sensing specifically includes the following steps:

[0050] Step A: Pre-bury the distributed optical fiber sensors 102 inside the concrete face slab 101 of the rockfill dam or adhesively attach them to the surface of the concrete face slab 101 of the rockfill dam according to a certain arrangement rule;

[0051] Select the spatial resolution and sampling interval of the distributed optical fiber sensors 102, and form a dynamic strain response signal sensing network with the sampling points of the distributed optical fiber sensors;

[0052] Step B: The lower computer 104 processes and calculates the dynamic strain response signal 106, including the following steps:

[0053] Select a reference point 202 in the space of the concrete face slab 101 of the rockfill dam, and establish a space coordinate system 203 of the concrete face slab of the rockfill dam with the reference point 202 as the coordinate origin;

[0054] According to the arrangement rule, spatial resolution, and sampling interval of the distributed optical fiber sensors 102, establish the corresponding relationship between the position coordinate S of the sampling point on the coordinate system 201 in the length direction of the distributed optical fiber sensor and the position coordinate P of the sampling point on the space coordinate system 203 established with the reference point 202 as the coordinate origin:

[0055] P = SA + B;

[0056] Wherein: P is the position coordinate matrix of each sampling point in the space coordinate system 203 of the concrete face slab of the rockfill dam; S is the position coordinate vector of each sampling point on the coordinate system 103 in the length direction of the distributed optical fiber sensor; A and B are parameter matrices in the linear conversion relationship, and the specific forms of A and B are determined by the specific layout form of the distributed optical fiber.

[0057] Based on the known position coordinates of the sampling points in the space coordinate system of the concrete face slab of the rockfill dam and the known position coordinates of the sampling points on the coordinate system in the length direction of the distributed optical fiber sensor 201, the parameter matrices A and B in the linear conversion relationship are obtained, which are realized through the following steps:

[0058] Taking the special case shown in Example I 204 as an example (where the origins of the coordinate systems 103 and 203 coincide), the specific relationship between the position coordinate P of the sampling point in the coordinate system 203 and the position s of the sampling point in the coordinate system 103 is:

[0059]

[0060] In the formula, s is the position of the sampling point on the coordinate system in the length direction of the distributed optical fiber sensor; L is the length of the optical fiber arranged on the face slab in the y-axis direction; d is the sampling interval; Denotes Rounding down; Denotes Taking the remainder of 2.

[0061] If the model shown in Example I 204 is simplified to Example II with a total of 6 sampling points shown in Example II 205, the specific forms of S, A, and B are:

[0062]

[0063] In this embodiment, A is [0 1], and B is

[0064] Step C: The gear-type rolling element 107 rolls on the concrete face slab of the rockfill dam to vibrate and excite the concrete face slab 101 of the rockfill dam;

[0065] Step D: The lower computer 104 collects the dynamic strain response signals 106 of each sampling point 103 in the dynamic strain response signal sensing network through the amplitude transfer - Brillouin optical time domain analysis technology, and preprocesses the dynamic strain response signals;

[0066] As a further preferred solution of the present invention, the preprocessing in step D includes calibration, trend item removal, and smoothing and denoising.

[0067] Step E: Based on the preprocessed dynamic strain response signal 106 and the position coordinates of the preprocessed dynamic strain response signal in the space coordinate system 203 of the concrete face slab of the rockfill dam, the lower computer 104 calculates the transfer function between the dynamic strain response sampling points 103 of the concrete face slab of the rockfill dam;

[0068] Using the transfer functions between the above sampling points, a transfer matrix of the dynamic strain response of the concrete face slab of the rockfill dam is formed;

[0069] Without loss of generality, it is assumed that there are a total of N sampling points, and each sampling point 103 corresponds one-to-one with the spatial position coordinates:

[0070] ε k = ε(i,j);

[0071] Where: k = 1, 2, …, N; i, j are the horizontal and vertical coordinate components of the sampling point in the coordinate system established in Step B; ε is the preprocessed dynamic strain time-domain response signal 106.

[0072] The expression of the transfer function between different sampling points is:

[0073]

[0074] Where: p = 1, 2, …, N; q = 1, 2, …, N; ε p (ω) and ε q (ω) are the Fourier transforms of the preprocessed time-domain dynamic strain response signal 106 of the distributed optical fiber sensor 102 respectively; T p,q (ω) is an element of the transfer matrix T of the dynamic strain response of the concrete face slab of the rockfill dam.

[0075] Step F: The lower computer 104 analyzes the transfer matrix T u of the initial state or undamaged state of the concrete face slab of the rockfill dam (where the superscript u of T indicates that this transfer matrix is the transfer matrix in the initial state or undamaged (Undamaged) state) and the transfer matrix T t of the state of the concrete face slab of the rockfill dam at time t (where the superscript t of T indicates that this transfer matrix is the transfer matrix of the concrete face slab of the rockfill dam at service time t), and establishes a damage index.

[0076] As a further preferred solution of the present invention, in Step F, the lower computer analyzes the transfer matrix T u and the transfer matrix T t to establish a damage index, which is achieved through the following steps:

[0077] Using the Euclidean distance or Mahalanobis distance between the elements of the transfer matrix to characterize the transfer matrix T u and the transfer matrix T tThe difference between them is used as an index of damage. In theory, the greater the distance between each element, the greater the degree of damage.

[0078] The location of the damage is achieved through the spatial position coordinates corresponding to each element in the transfer rate matrix.

[0079] The above calculation and processing results are sent to the upper computer 105 for display and storage.

[0080] The layout rule means that the distributed optical fiber sensors are pre-buried inside the concrete face slab of the rockfill dam or bonded to the surface of the concrete face slab of the rockfill dam in an equally spaced array.

[0081] For the concrete face slab 101 of the rockfill dam, the distributed optical fiber sensor 102, the lower computer 104, the upper computer 105, the distributed optical fiber sensor 102, and the gear-type rolling element 107, there are many models that can be used in the prior art. Those skilled in the art can select appropriate models according to actual needs, and specific examples are not given one by one in this embodiment.

[0082] This application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, and the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0083] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device implements the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0084] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0085] The above are only the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the technical principle of the present invention, several improvements and modifications can be made, and these improvements and modifications should also be regarded as the protection scope of the present invention.

Claims

1. An underwater concrete panel damage detection method, characterized in that, An underwater concrete panel damage detection device is adopted, and the device includes: A dynamic strain response signal sensing network, which is used to obtain the dynamic strain response signal of the concrete panel of the rockfill dam after being vibrationally excited; The dynamic strain response signal sensing network includes a number of distributed optical fiber sensors, and the number of distributed optical fiber sensors are pre-buried inside the concrete panel of the rockfill dam or adhesively attached to the surface of the concrete panel of the rockfill dam according to a certain layout rule; It also includes an excitation source, which is used to vibrationally excite the concrete panel of the rockfill dam; The excitation source includes a gear-type rolling body and a winch-carrying tool. The gear-type rolling body is towed by the winch-carrying tool. The gear-type rolling body moves along two directions of the panel inclination and the dam crest axis of the concrete panel of the rockfill dam. The gear-type rolling body is used to apply a moving load on the concrete panel of the rockfill dam to achieve vibration excitation of the concrete panel of the rockfill dam; The underwater concrete panel damage detection method performs the following steps: Step A: Pre-bury the distributed optical fiber sensors inside the concrete panel of the rockfill dam or adhesively attach them to the surface of the concrete panel of the rockfill dam according to a certain layout rule; Select the spatial resolution and sampling interval of the distributed optical fiber sensors, and use the sampling points of the distributed optical fiber sensors to form a dynamic strain response signal sensing network; Step B: Select a reference point in the space of the concrete panel of the rockfill dam, and establish a space coordinate system of the concrete panel of the rockfill dam with the reference point as the coordinate origin; Based on the layout rule, spatial resolution and sampling interval of the distributed optical fiber sensors, establish the corresponding relationship between the position coordinate S of the sampling points on the coordinate system in the length direction of the distributed optical fiber sensors and the position coordinate P of the sampling points on the space coordinate system established with the reference point as the coordinate origin: P = SA + B; Where: P is the position coordinate matrix of each sampling point in the space coordinate system of the concrete panel of the rockfill dam; S is the position coordinate vector of each sampling point on the coordinate system in the length direction of the distributed optical fiber sensors; A and B are parameter matrices in the linear conversion relationship. Step C: The gear-type rolling body rolls on the concrete panel of the rockfill dam to vibrationally excite the concrete panel of the rockfill dam; Step D: Through the amplitude transfer - Brillouin optical time domain analysis technology, collect the dynamic strain response signals of each sampling point in the dynamic strain response signal sensing network, and preprocess the dynamic strain response signals; Step E: According to the preprocessed dynamic strain response signals and the position coordinates of the preprocessed dynamic strain response signals in the space coordinate system of the concrete panel of the rockfill dam, calculate the transfer rate function between the sampling points; Use the transfer rate functions between the above sampling points to form a dynamic strain response transfer rate matrix of the concrete panel of the rockfill dam; Each sampling point corresponds one-to-one with the spatial position coordinates: ε k = ε(i, j); where: k = 1, 2, …, N, N is the number of sampling points; i is the abscissa of the sampling point in the space coordinate system of the concrete face slab of the rockfill dam, and j is the ordinate of the sampling point in the space coordinate system of the concrete face slab of the rockfill dam; ε k is the k-th preprocessed dynamic strain time-domain response signal; ε(i, j) is the preprocessed dynamic strain time-domain response signal corresponding to the coordinates (i, j); The expression of the transfer rate function between the sampling points is: where: p = 1, 2, …, N; q = 1, 2, …, N; ε p (ω) is the Fourier transform of the p-th preprocessed time-domain dynamic strain response signal; ε q (ω) is the Fourier transform of the q-th preprocessed time-domain dynamic strain response signal; T p,q (ω) is an element of the transfer rate matrix T of the dynamic strain response of the concrete face slab of the rockfill dam; Step F: Calculate the transfer matrix T when obtaining the transfer matrix of the initial state or non-damaged state of the concrete face slab of the rockfill dam using the transfer function between sampling points u and the transfer matrix T of the state of the concrete face slab of the rockfill dam at time t t ; Transfer rate matrix T of the lower position for the initial state or non-damaged state of the concrete face slab of the rockfill dam u and the transfer rate matrix T of the state of the concrete face slab of the rockfill dam at time t t are analyzed to establish a damage index; Where, based on the known position coordinates of the sampling points on the space coordinate system of the concrete panel of the rockfill dam and the known position coordinates of the sampling points on the coordinate system in the length direction of the distributed optical fiber sensors, the parameter matrices A and B in the linear conversion relationship are obtained; Lower position for transfer rate matrix T u and transfer rate matrix T t are analyzed to establish a damage index, which is achieved through the following steps: Characterize the transfer rate matrix T by using the Euclidean distance or Mahalanobis distance between the elements of the transfer rate matrix u and the transfer rate matrix T t to be the difference as the damage index; Based on the damage index, obtain the spatial position coordinates corresponding to the elements in the transfer rate matrix; Send the above damage index and the coordinates of the damage to the upper computer for display and storage; The preprocessing includes calibration, trend item removal, and smoothing and denoising; The underwater concrete panel damage detection device further includes a lower computer, which is used to process and calculate the dynamic strain response signal of the concrete panel after being vibrationally excited to obtain the coordinates of the damage; The underwater concrete panel damage detection device further includes an upper computer, which is used to control the excitation source to perform vibration excitation and is used to display and store the coordinates of the damage.

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