A non-destructive testing method for precast concrete components

Abstract

The present invention relates to the technical field of data processing, and specifically relates to a non-destructive testing method for prefabricated concrete components, including: obtaining the corrected defect type integrity of each concrete component in each detection direction according to the difference in the clustering results of the IMF components of each concrete component between each detection direction and all detection directions; obtaining the comprehensive damage degree of each concrete component in each detection direction according to the number of types of damage clustering clusters, as well as the frequency damage degree and energy damage degree; using the corrected defect type integrity to perform weighted correction on the comprehensive damage degree to obtain the corrected damage degree of the concrete component; and detecting the concrete component based on the corrected damage degree. The present invention has a more accurate result for the comprehensive damage assessment of concrete components.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly relates to a non-destructive testing method for precast concrete components. Background Art

[0002] With the continuous improvement of the requirements for building quality in the construction industry, precast concrete components, as important structural units in modern buildings, are widely used in projects such as high-rise buildings, bridges, and tunnels. In order to ensure the safety and durability of these components during construction and use, it is particularly important to conduct effective quality testing and evaluation on them. As a typical non-destructive testing technology, the propagation characteristics of ultrasonic waves in concrete can reflect defect information such as cracks, holes, and delamination inside the components; therefore, accurately identifying and evaluating the internal defects of concrete components through ultrasonic signals has become a research hotspot in current non-destructive testing technology.

[0003] Traditional ultrasonic testing technology mainly adopts a single-probe one-way detection mode, which has significant limitations when facing the complex spatial defect distribution inside concrete components. Typical defects existing in concrete components, such as honeycomb holes formed by aggregate segregation, vertical cracks caused by insufficient vibration, and delamination interfaces induced by improper steam curing, generate ultrasonic echo signals that exhibit non-linear superposition characteristics in the time-frequency domain; thus, it is difficult for the FFT spectrum analysis method to accurately decouple defect characteristics; and single-direction detection may not be able to accurately detect all defects due to factors such as the shape, size, and direction of the defects, resulting in inaccurate detection results of concrete components. Summary of the Invention

[0004] To solve the above problems, the present invention provides a non-destructive testing method for precast concrete components, and the method includes:

[0005] Obtaining echo signals of all concrete components in the same batch in different detection directions;

[0006] Decomposing the echo signals to obtain a number of IMF components; according to the difference in the clustering results of the IMF components of each concrete component in each detection direction and all detection directions, obtaining the corrected defect type integrity of each concrete component in each detection direction;

[0007] Cluster all IMF components of all concrete components in each detection direction, and obtain the non-destructive component cluster and the damage cluster; according to the differences in the central frequency and amplitude of the IMF components between the non-destructive component cluster and the damage cluster, obtain the frequency damage degree and energy damage degree of each concrete component in each detection direction; according to the number of types of the damage cluster, as well as the frequency damage degree and energy damage degree, obtain the comprehensive damage degree of each concrete component in each detection direction;

[0008] Use the correction of defect type integrity to weight and correct the comprehensive damage degree, and obtain the corrected damage degree of the concrete component; detect the concrete component based on the corrected damage degree.

[0009] Preferably, the method for obtaining the corrected defect type integrity of each concrete component in each detection direction according to the difference in the clustering results of the IMF components of each concrete component between each detection direction and all detection directions includes the following specific steps:

[0010] Take the central frequency and amplitude mean value of each IMF component as the feature vector of each IMF component;

[0011] Use the DBSCAN clustering algorithm to cluster the feature vectors of all IMF components of the th concrete component in the th detection direction, and obtain the clustering result of the th concrete component in the th detection direction; record the number of types of clusters in the clustering result of the th detection direction as the first type number;

[0012] Use the DBSCAN clustering algorithm to cluster the feature vectors of all IMF components of the th concrete component in all detection directions, and obtain the clustering result of the th concrete component in all detection directions; record the number of types of clusters in the clustering result of all detection directions as the overall type number;

[0013] Take the ratio of the first type number to the overall type number as the defect type integrity degree of the th concrete component in the th detection direction;

[0014] According to the differences in the clusters to which the IMF components in different detection directions belong, obtain the obviousness degree of each IMF component in each detection direction;

[0015] The integrity of the defect type is corrected using the manifestation degree, and the integrity of the corrected defect type of each concrete member in each detection direction is obtained.

[0016] Preferably, obtaining the manifestation degree of each IMF component in each detection direction according to the difference in the clustering clusters to which the IMF components in different detection directions belong includes the following specific method:

[0017] Among the clustering results of the th concrete member in all detection directions, the clustering cluster to which the th IMF component of the th concrete member in the th detection direction belongs is denoted as the target clustering cluster;

[0018] The ratio between the number of all IMF components in the target clustering cluster and the total number of all IMF components in all clustering clusters in the clustering results in all detection directions is denoted as the first ratio;

[0019] The product of the number of all th detection direction IMF components in the target clustering cluster and the first ratio is used as the manifestation degree of the th concrete member in the th detection direction for the th IMF component.

[0020] Preferably, the integrity of the defect type is corrected using the manifestation degree, and the integrity of the corrected defect type of each concrete member in each detection direction is obtained, including the following specific method:

[0021] The product of the manifestation degree of the th IMF component of the th concrete member in the th detection direction and the integrity of the defect type of the th concrete member in the th detection direction is denoted as the correction factor of the th IMF component; the normalized value of the cumulative sum of the correction factors of all IMF components of the th concrete member in the th detection direction is used as the integrity of the corrected defect type of the th concrete member in the th detection direction.

[0022] Preferably, clustering all IMF components of all concrete members in each detection direction and obtaining the non-damaged component clustering cluster and the damage clustering cluster includes the following specific method:

[0023] Among the clustering results of all concrete components in the th detection direction, the clustering cluster with the largest number of IMF components is taken as the non-damaged clustering cluster in the th detection direction; all clustering clusters except the non-damaged clustering cluster are recorded as damaged clustering clusters.

[0024] Preferably, obtaining the frequency damage degree and energy damage degree of each concrete component in each detection direction according to the differences in the central frequencies and amplitudes of the IMF components between the non-damaged component clustering cluster and the damaged clustering cluster includes the following specific methods:

[0025] Taking the IMF components in the damaged clustering cluster as damaged components;

[0026] According to the difference in the central frequency between the damaged components and the IMF components in the non-damaged clustering cluster, and the difference in the central frequency between the damaged components and other IMF components in their respective damaged clustering clusters, obtain the th concrete component in the th detection direction of the frequency damage degree;

[0027] Recording the mean value of all amplitudes in all IMF components in the non-damaged clustering cluster as the target mean value; taking the absolute value of the difference between the mean amplitude of the th concrete component in the th detection direction and the target mean value of the th damaged component as the energy difference value of the th damaged component;

[0028] Taking the product of the energy difference value of the th damaged component, the standard deviation of the amplitudes of the th damaged component, and the obviousness degree of the th concrete component in the th detection direction of the th damaged component as the energy damage factor of the th damaged component;

[0029] Taking the normalized value of the sum of the energy damage factors of all damaged components of the th concrete component in the th detection direction as the energy damage degree of the th concrete component in the th detection direction.

[0030] Preferably, the method for obtaining the frequency damage degree of the th concrete component in the th detection direction includes the following specific methods:

[0031] The absolute value of the difference between the central frequency of the th damage component of the th concrete member in the th detection direction and the average value of the central frequencies of all IMF components in the non-damaged clustering cluster is denoted as the frequency difference value of the th damage component;

[0032] The product of the frequency difference value of the th damage component, the Euclidean distance between the th damage component and the clustering center of the damage clustering cluster to which it belongs, and the degree of obviousness of the th damage component of the th concrete member in the th detection direction is used as the frequency damage factor of the th damage component;

[0033] The normalized value of the sum of the frequency damage factors of all damage components of the th concrete member in the th detection direction is used as the frequency damage degree of the th concrete member in the th detection direction.

[0034] Preferably, the method for obtaining the comprehensive damage degree of each concrete member in each detection direction according to the number of types of damage clustering clusters, and the frequency damage degree and energy damage degree includes:

[0035] The normalized value of the product of the number of types of the damage clustering cluster to which the IMF components corresponding to the th concrete member belong in the clustering result of all concrete members in the th detection direction, the frequency damage degree and the energy damage degree of the th concrete member in the th detection direction is used as the comprehensive damage degree of the th concrete member in the th detection direction.

[0036] Preferably, the method for obtaining the corrected damage degree of the concrete member by weighted correction of the comprehensive damage degree using the corrected defect type integrity includes:

[0037] The comprehensive damage degree of the th concrete member in the th detection direction is multiplied by the comprehensive damage degree of the th concrete member in the The product of the defect type completeness degrees in each detection direction is denoted as the modified damage factor of the th concrete member in the

[0038] th detection direction; The normalized value of the sum of the modified damage factors of the th concrete member in all detection directions is used as the modified damage degree of the

[0039] th concrete member.

[0040] Preferably, the detection of the concrete member based on the modified damage degree includes the following specific method: Preset a threshold parameter . If the modified damage degree of the th concrete member is greater than or equal to the threshold parameter , the

[0041] th concrete member is recorded as a non - qualified concrete member. The beneficial effects of the technical solution of the present invention are as follows: According to the difference in the clustering results of the IMF components of each concrete member between each detection direction and all detection directions, the modified defect type completeness of each concrete member in each detection direction is obtained; according to the number of types of damage clustering clusters, as well as the frequency damage degree and energy damage degree, the comprehensive damage degree of each concrete member in each detection direction is obtained; the comprehensive damage degree is weighted and corrected by using the modified defect type completeness to obtain the modified damage degree of the concrete member; the concrete member is detected based on the modified damage degree; thereby solving the problem of signal overlap of internal defects of the concrete member, and according to the comprehensive consideration of the defect type completeness of different detection directions, the damage assessment results of each detection direction are corrected, which can effectively overcome the limitations of single - direction detection, so as to realize a more accurate comprehensive damage assessment of the concrete member. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0043] Figure 1 is the step - flow chart of a non - destructive testing method for an assembled concrete member of the present invention;

[0044] Figure 2 is the characteristic - relationship flow chart of a non - destructive testing method for an assembled concrete member of the present invention. Specific Embodiment

[0045] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details a non-destructive testing method for precast concrete components according to the present invention, including its specific embodiment, structure, features, and effects, as follows. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0046] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0047] The following specifically describes the specific solution of a non-destructive testing method for precast concrete components provided by the present invention in conjunction with the accompanying drawings.

[0048] Please refer to Figure 1 , which shows a flowchart of the steps of a non-destructive testing method for precast concrete components provided by an embodiment of the present invention. The method includes the following steps:

[0049] Step S001: Obtain the echo signals of all concrete components in the same batch in different detection directions.

[0050] Specifically, first, it is necessary to collect the echo signals of all concrete components in the same batch in different detection directions. The specific process is as follows:

[0051] Preset 12 detection directions: , and these angles represent the incident angles of the ultrasonic probe relative to the surface of the concrete component;

[0052] For any concrete component in the same batch in any detection direction, adjust the ultrasonic probe to an angle with the surface of the concrete component corresponding to the any detection direction, start the ultrasonic flaw detector, record the echo signal reflected from the inside of the any concrete component, and record it as the echo signal of the concrete component in the any detection direction.

[0053] Thus, the echo signals of all concrete components in the same batch in different detection directions are obtained through the above method.

[0054] Step S002: Decompose the echo signals to obtain several IMF components; according to the difference in the clustering results of the IMF components of each concrete component between each detection direction and all detection directions, obtain the corrected defect type integrity of each concrete component in each detection direction.

[0055] It should be noted that as a complex composite material, concrete not only has common defects such as cracks and holes in its internal structure, but may also be affected by various factors such as pouring technology and curing conditions, resulting in the diversity and complexity of defect types. For example, typical defects in concrete components include honeycomb holes formed by aggregate segregation, vertical cracks caused by insufficient vibration, and delamination interfaces induced by improper steam curing. During ultrasonic testing, due to the wide variety of internal defects in concrete components and their uneven distribution, there may be an overlapping phenomenon of multiple defect signals in the echo signal, that is, the ultrasonic echo signal generated exhibits non-linear superposition characteristics in the time-frequency domain. That is, due to the wide variety of internal defects in concrete components and their uneven distribution, there may be an overlapping phenomenon of multiple defect signals in the echo signal. Therefore, the VDM decomposition algorithm can be used to decompose the echo signal to obtain signal components of different defect types.

[0056] Preferably, in some implementation manners of the embodiments of the present invention, since the frequency of each IMF component describes the frequency change of the component at different time points, the central frequency is the average frequency of the IMF component within the entire time window, and the amplitude describes the energy distribution of the IMF component within the entire time window. These characteristics can reflect the characteristics of different types of defects. The VDM decomposition algorithm is used to decompose the echo signal of each concrete component in each detection direction to obtain a number of IMF components, and the amplitude and central frequency in each IMF component are obtained. The central frequency and amplitude mean value of each IMF component are used as the feature vector of each IMF component.

[0057] Among them, the VDM decomposition algorithm is a prior art, and no further elaboration will be made here in this embodiment.

[0058] Preferably, in some implementation manners of the embodiments of the present invention, DBSCAN is a density-based clustering method, which can divide IMF components into multiple clustering clusters according to the similarity of feature vectors. Each clustering cluster represents a defect type with similar characteristics in a certain detection direction. Therefore, clustering clusters of different defect types that may appear in each detection direction can be obtained, and these clustering clusters reflect the possible defects in each detection direction of the concrete component. Then, according to the difference in the clustering results of the IMF components of the concrete component in each detection direction and all detection directions, the specific method for obtaining the completeness of the defect type in each detection direction is as follows:

[0059] The central frequency and amplitude mean value of each IMF component are used as the feature vector of each IMF component;

[0060] Using the DBSCAN clustering algorithm for the th concrete component in the Cluster the eigenvectors of all IMF components in a detection direction to obtain the clustering result of the th concrete member in the th detection direction; Denote the number of types of clustering clusters in the clustering result in the

[0061] th detection direction as the first type number; Use the DBSCAN clustering algorithm to cluster the eigenvectors of all IMF components of the th concrete member in all detection directions to obtain the clustering result of the

[0062] th concrete member in all detection directions; Denote the number of types of clustering clusters in the clustering result of all detection directions as the overall type number; Take the ratio of the first type number to the overall type number as the degree of defect type completeness of the

[0063] th concrete member in the th detection direction. Among them, the DBSCAN clustering algorithm is a prior art and will not be elaborated here in this embodiment; If the number of types of clustering clusters of the th concrete member in the th detection direction is more, it means that

[0064] there are more complete defect types of the

[0065] th concrete member in the th detection direction. It should be noted that for any component clustering cluster, if the same detection direction corresponding to the IMF components in this component clustering cluster appears more times, it means that the detection effect of the type damage defect corresponding to this component clustering cluster in this detection direction is more obvious; If the number of IMF components in the component clustering cluster is small, it means that the degree of the type damage defect corresponding to this component clustering cluster existing in the concrete member is small and can be ignored in the actual scenario; On the contrary, the more the number of IMF components in the component clustering cluster, the greater the degree of the type damage defect corresponding to this component clustering cluster existing in the concrete member. Preferably, in some implementation manners of the embodiments of the present invention, if the number of times the detection direction corresponding to the

[0066] Among the clustering results of the th concrete member in all detection directions, the th concrete member in the th detection direction, the th IMF component belongs to the clustering cluster, which is denoted as the target clustering cluster;

[0067] The ratio between the number of all IMF components in the target clustering cluster and the total number of all IMF components in all clustering clusters in the clustering results in all detection directions is denoted as the first ratio;

[0068] Multiply the number of all IMF components in the target clustering cluster in the th detection direction by the first ratio, and use it as the th concrete member in the th detection direction, the th IMF component is obvious;

[0069] The specific formula is:

[0070]

[0071] In the formula, represents the th concrete member in the th detection direction, the th IMF component is obvious; represents the th concrete member in the th detection direction, the th IMF component belongs to the number of all IMF components in all th detection directions in the clustering cluster; represents the th concrete member in all detection directions in the clustering results, the total number of all IMF components in all component clustering clusters; represents the th concrete member in the th detection direction, the th IMF component belongs to the number of all IMF components in the clustering cluster.

[0072] Preferably, in some implementation manners of the embodiments of the present invention, if the th concrete member in the th detection direction, the greater the obviousness of all IMF components, it indicates that the th concrete member in the Damage defects that can be more accurately obtained in each detection direction; then, the integrity of the defect type is corrected using the degree of obviousness, and the specific method for obtaining the integrity of the corrected defect type of each concrete member in each detection direction is as follows:

[0073] Multiply the degree of obviousness of the th IMF component of the th concrete member in the th detection direction by the integrity of the defect type of the th concrete member in the th detection direction, and denote it as the correction factor of the th IMF component; take the normalized value of the cumulative sum of the correction factors of all IMF components of the th concrete member in the th detection direction as the integrity of the corrected defect type of the th concrete member in the th detection direction;

[0074] The specific formula is:

[0075]

[0076] In the formula, represents the integrity of the corrected defect type of the th concrete member in the th detection direction; represents the number of all IMF components of the th concrete member in the th detection direction; represents the degree of obviousness of the th IMF component of the th concrete member in the th detection direction; represents the integrity of the defect type of the th concrete member in the th detection direction; represents the linear normalization function.

[0077] Thus, the integrity of the corrected defect type of each concrete member in each detection direction is obtained through the above method.

[0078] Step S003: Cluster all the IMF components of all concrete members in each detection direction, and obtain a cluster of non-destructive components and a cluster of damaged components; according to the differences in the center frequencies and amplitudes of the IMF components between the non-destructive component cluster and the damaged component cluster, obtain the frequency damage degree and energy damage degree of each concrete member in each detection direction; according to the number of types of the damaged component cluster, as well as the frequency damage degree and energy damage degree, obtain the comprehensive damage degree of each concrete member in each detection direction.

[0079] It should be noted that since the detection in a single direction may not be able to accurately detect all defects due to factors such as the shape, size, and direction of the defects; therefore, by clustering the eigenvectors of the signal components in each detection direction, clusters of different defect types that may appear in each concrete member in each detection direction are obtained; and the damaged members will be different from the normal members in terms of IMF components, usually manifested as frequency offset and energy distribution changes. These differences will cause the damaged members to fall into different clusters in the clustering analysis. Therefore, by analyzing the differences in the center frequencies and amplitudes of the IMF components between the non-destructive component cluster and the damaged component cluster, the comprehensive damage degree of each concrete member in each detection direction is obtained.

[0080] Preferably, in some implementation manners of the embodiments of the present invention, since most of the members in the same batch are normal members, in the clustering analysis of the IMF components, the normal members will occupy the cluster with the largest number. The specific method for clustering all the IMF components of all concrete members in each detection direction and obtaining a cluster of non-destructive components and a cluster of damaged components is as follows:

[0081] Use the DBSCAN clustering algorithm to cluster the eigenvectors of all the IMF components of all concrete members in the th detection direction to obtain the clustering result of all concrete members in the th detection direction; take the cluster with the largest number of IMF components in the clustering result as the non-damaged cluster in the th detection direction; mark all the clusters in the clustering result except the non-damaged cluster as damaged clusters.

[0082] It should be noted that as the damage of concrete components gradually worsens, their natural frequencies will change, and the change in stress distribution caused by damage will lead to changes in the vibration characteristics of the structure. Therefore, the frequency components of the IMF components will gradually deviate from the original undamaged state. The more severe the damage, the more obvious the frequency change. Moreover, in the case of damage, the vibration mode energy distribution of concrete components will change. Damage may cause a decrease in the stiffness of some structures, so the energy in the corresponding IMF components may shift or become unbalanced. As the damage worsens, the energy of the IMF components usually increases significantly, indicating a decrease in the stiffness and stability of the structure. Then, according to the differences in the central frequencies and amplitudes of the IMF components between the undamaged component clustering clusters and the damage clustering clusters, the specific method for obtaining the frequency damage degree and energy damage degree of each concrete component in each detection direction is as follows:

[0083] If the th concrete component's th IMF component in the th detection direction belongs to the damage clustering cluster, mark the th IMF component as the damage component of the th concrete component in the th detection direction;

[0084] Based on the difference in the central frequency between the damage component and the IMF components in the undamaged clustering cluster, as well as the difference in the central frequency between the damage component and other IMF components in its affiliated damage clustering cluster, obtain the th concrete component's th frequency damage degree in the

[0085] Mark the mean value of all amplitudes in all IMF components in the undamaged clustering cluster as the target mean value; mark the absolute value of the difference between the mean value of the amplitudes in the th damage component of the th concrete component in the th detection direction and the target mean value as the energy difference value of the th damage component;

[0086] Multiply the energy difference value of the th damage component, the standard deviation of the amplitudes in the th damage component, and the obviousness degree of the th concrete component's th damage component in the th detection direction. The product of these three is used as the energy damage factor of the th damage component;

[0087] Mark the th concrete component's The normalized value of the sum of the energy damage factors of all damage components in a detection direction is used as the energy damage degree of the th concrete member in the

[0088] th detection direction;

[0089]

[0090] In the formula, represents the energy damage degree of the th concrete member in the th detection direction; represents the obviousness degree of the th damage component of the th concrete member in the th detection direction; represents the standard deviation of the amplitude in the th damage component of the th concrete member in the th detection direction; represents the absolute value of the difference between the mean value of the amplitude and the target mean value in the th damage component of the th concrete member in the th detection direction; represents the linear normalization function.

[0091] Among them, if the energy distribution of the th damage component of the th concrete member in the th detection direction is more unstable, it indicates that the damage degree of the th damage component is greater; as the damage worsens, the energy of the IMF component usually increases significantly, indicating a decrease in the structural stiffness and stability; therefore, when the energy of the th damage component is greater than the mean value of the energy of all IMF components in the non-damaged clustering cluster, it indicates that the damage degree of the th damage component is greater.

[0092] It should be noted that when the difference between the central frequency of the th damage component of the th concrete member in the th detection direction and the mean value of the central frequencies of all IMF components in the non-damaged clustering cluster is greater, it indicates that the damage degree of the th damage component is greater; the farther the distance between the th damage component and the clustering center of the damage clustering cluster to which it belongs, it indicates that the damage degree of the The greater the degree of damage of a damage component relative to other IMF components in the damage clustering cluster to which it belongs; the more obvious the performance of the th damage component in the

[0093] th detection direction, the higher the confidence level of its frequency damage degree. Preferably, in some implementation manners of the embodiments of the present invention, the specific method for obtaining the frequency damage degree of the th concrete component in the

[0094] th detection direction is as follows: Take the absolute value of the difference between the central frequency of the th damage component of the th concrete component in the th detection direction and the mean value of the central frequencies of all IMF components in the non-damage clustering cluster, and denote it as the frequency difference value of the

[0095] th damage component; Multiply the frequency difference value of the th damage component, the Euclidean distance between the th damage component and the clustering center of the damage clustering cluster to which it belongs, and the obviousness of the th damage component of the th concrete component in the th detection direction, and take the product of these three as the frequency damage factor of the

[0096] th damage component; Take the normalized value of the sum of the frequency damage factors of all damage components of the th concrete component in the th detection direction as the frequency damage degree of the th concrete component in the

[0097] Specific formula is:

[0098]

[0099] In the formula, represents the frequency damage degree of the th concrete component in the th detection direction; represents the central frequency of the th damage component of the th concrete component in the th detection direction; represents the th detection direction of the The mean of the central frequencies of all IMF components in the damage cluster to which a damage component belongs; Denote the th concrete member, and the number of all damage components in the th detection direction; Denote the th concrete member, and the obviousness degree of the th damage component in the th detection direction; Denote the th concrete member, and the Euclidean distance between the

[0100] th damage component and the clustering center of the damage cluster to which it belongs in the th detection direction; Preferably, in some implementation manners of the embodiments of the present invention, when the number of types of damage clusters to which the IMF components of the concrete member in the th detection direction belong is larger, it indicates that the damage types in the th detection direction are more complex, the frequency damage degree and the energy damage degree are larger, then the damage detected in the

[0101] th detection direction is more serious; The specific method for obtaining the comprehensive damage degree of each concrete member in each detection direction according to the number of types of damage clusters, as well as the frequency damage degree and the energy damage degree is: Normalize the product of the number of types of damage clusters to which the IMF components corresponding to the th concrete member belong in the clustering result of all concrete members in the th detection direction, the frequency damage degree and the energy damage degree of the th concrete member in the th detection direction, and use it as the comprehensive damage degree of the th concrete member in the

[0102] The specific formula is:

[0103]

[0104] In the formula, Denote the th concrete member, and the comprehensive damage degree in the Denote in the clustering result of all concrete members in the th detection direction, the The number of types of damage clustering clusters to which the IMF components corresponding to a concrete member belong; Indicates the th concrete member in the th detection direction; the degree of energy damage; Indicates the th concrete member in the th detection direction; the degree of frequency damage.

[0105] So far, the comprehensive damage degree of each concrete member in each detection direction is obtained by the above method.

[0106] Step S004: Use the corrected defect type integrity to perform weighted correction on the comprehensive damage degree to obtain the corrected damage degree of the concrete member; perform inspection on the concrete member based on the corrected damage degree.

[0107] Preferably, in some implementation manners of the embodiment of the present invention, the specific method for using the corrected defect type integrity to perform weighted correction on the comprehensive damage degree to obtain the corrected damage degree of the concrete member is as follows:

[0108] Multiply the comprehensive damage degree of the th concrete member in the th detection direction by the defect type integrity degree of the th concrete member in the th detection direction, and denote it as the corrected damage factor of the th concrete member in the th detection direction;

[0109] Take the normalized value of the sum of the corrected damage factors of the th concrete member in all detection directions as the corrected damage degree of the th concrete member;

[0110] The specific formula is:

[0111]

[0112] In the formula, Indicates the corrected damage degree of the th concrete member; Indicates the comprehensive damage degree of the th concrete member in the th detection direction; Indicates the corrected defect type integrity of the th concrete member in the th detection direction; Indicates the linear normalization function.

[0113] Preferably, in some implementation manners of the embodiments of the present invention, the specific method for detecting a concrete member based on the corrected damage degree is as follows:

[0114] Preset a threshold parameter , where in this embodiment, is taken as an example for description, and this embodiment does not make specific limitations, where it depends on the specific implementation situation.

[0115] If the corrected damage degree of the th concrete member is greater than or equal to the threshold parameter , mark the th concrete member as a non - qualified concrete member.

[0116] Please refer to Figure 2 , which shows a characteristic relationship flowchart of a non - destructive testing method for prefabricated concrete members;

[0117] Thus far, this embodiment is completed.

[0118] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A non-destructive testing method for precast concrete components, characterized in that, The method includes the following steps: Obtain the echo signals of all concrete components in the same batch in different detection directions; Decompose the echo signals to obtain a number of IMF components; according to the difference in the clustering results of the IMF components of each concrete component between each detection direction and all detection directions, obtain the corrected defect type integrity of each concrete component in each detection direction. The specific method included is: Take the central frequency and the mean amplitude of each IMF component as the feature vector of each IMF component; use the DBSCAN clustering algorithm to cluster the feature vectors of all IMF components of the th concrete member in the th detection direction, and obtain the clustering result of the th concrete member in the th detection direction; record the number of types of clusters in the clustering result of the th detection direction as the first type number; use the DBSCAN clustering algorithm to cluster the feature vectors of all IMF components of the th concrete member in all detection directions, and obtain the clustering result of the th concrete member in all detection directions; record the number of types of clusters in the clustering result of all detection directions as the overall type number; take the ratio of the first type number to the overall type number as the defect type completeness of the th concrete member in the th detection direction; according to the difference situation of the clusters to which the IMF components in different detection directions belong, obtain the obvious degree of each IMF component in each detection direction; use the obvious degree to correct the defect type completeness, and obtain the corrected defect type integrity of each concrete member in each detection direction. Cluster all the IMF components of all concrete components in each detection direction, and obtain a clustering cluster of non-damaged components and a clustering cluster of damaged components; according to the difference in the center frequency and amplitude of the IMF components between the non-damaged component clustering cluster and the damaged component clustering cluster, obtain the frequency damage degree and energy damage degree of each concrete component in each detection direction; according to the number of types of the damaged component clustering cluster, as well as the frequency damage degree and energy damage degree, obtain the comprehensive damage degree of each concrete component in each detection direction; Use the corrected defect type integrity to perform weighted correction on the comprehensive damage degree to obtain the corrected damage degree of the concrete component; perform detection on the concrete component based on the corrected damage degree.

2. The non-destructive testing method for a precast concrete component according to claim 1, characterized in that, The specific method for obtaining the obviousness degree of each IMF component in each detection direction according to the difference in the clustering clusters to which the IMF components in different detection directions belong is: Among the clustering results of the th concrete component in all detection directions, the th concrete component in the th detection direction and the th IMF component's belonging clustering cluster is denoted as the target clustering cluster; Denote the ratio between the number of all IMF components in the target clustering cluster and the total number of all IMF components in all clustering clusters in the clustering results in all detection directions as the first ratio; Multiply the number of IMF components in all the th detection directions in the target clustering cluster by the first ratio, and use the result as the th concrete component's th IMF component's th degree of obviousness of performance in the 3. The non-destructive testing method for a precast concrete component according to claim 1, characterized in that The specific method for using the obviousness degree to correct the defect type integrity to obtain the corrected defect type integrity of each concrete component in each detection direction is: Multiply the degree of manifestation of the th IMF component of the th concrete member in the th detection direction by the completeness of the defect type in the th detection direction of the th concrete member, and denote it as the correction factor of the th IMF component; Take the normalized value of the cumulative sum of the correction factors of all IMF components of the th concrete member in the th detection direction as the corrected defect type completeness of the th concrete member in the th detection direction.

4. The non-destructive testing method for a prefabricated concrete component according to claim 1, wherein, The specific method for clustering all the IMF components of all concrete components in each detection direction and obtaining a clustering cluster of non-damaged components and a clustering cluster of damaged components is: Among the clustering results of all concrete components in the th detection direction, the clustering cluster with the largest number of IMF components is taken as the non-damaged clustering cluster in the th detection direction; all clustering clusters except the non-damaged clustering cluster are recorded as damaged clustering clusters.

5. The non-destructive testing method for a prefabricated concrete component according to claim 1, characterized in that, The specific method for obtaining the frequency damage degree and energy damage degree of each concrete component in each detection direction according to the difference in the center frequency and amplitude of the IMF components between the non-damaged component clustering cluster and the damaged component clustering cluster is: Take the IMF components in the damaged component clustering cluster as damaged components; According to the difference in the central frequency between the damaged component and the IMF components in the undamaged clustering cluster, as well as the difference in the central frequency between the damaged component and other IMF components in its affiliated damaged clustering cluster, obtain the frequency damage degree of the th concrete component in the th detection direction; The mean value of all amplitudes in all IMF components in the non-damaging clustering clusters is denoted as the target mean value; The absolute value of the difference between the mean value of the amplitude in the th damage component in the th detection direction of the th concrete component and the target mean value is denoted as the energy difference value of the th damage component. The energy difference value of the th damage component, the standard deviation of the amplitude in the th damage component, and the degree of manifestation of the th concrete member in the th detection direction for the th damage component. The product of these three is used as the energy damage factor of the th damage component; Normalize the sum of the energy damage factors of all damage components of the th concrete member in the th detection direction, and use it as the energy damage degree of the th concrete member in the th detection direction.

6. The non-destructive testing method for a prefabricated concrete component according to claim 5, characterized in that, The method for obtaining the frequency damage degree of the th concrete component in the th detection direction specifically includes the following steps: The absolute value of the difference between the central frequency of the th damage component of the concrete member in the th detection direction and the mean value of the central frequencies of all IMF components in the non-damaged clustering cluster is denoted as the frequency difference value of the th damage component; ​ The frequency difference value of the th damage component, the Euclidean distance between the th damage component and the cluster center of the damage cluster to which it belongs, and the degree of manifestation of the th concrete member in the th detection direction of the th damage component. The product of these three is used as the frequency damage factor of the th damage component; Normalize the sum of the frequency damage factors of all damage components of the th concrete member in the th detection direction, and use it as the frequency damage degree of the th concrete member in the th detection direction.

7. The non-destructive testing method for an assembled concrete component according to claim 4, wherein, The specific method for obtaining the comprehensive damage degree of each concrete component in each detection direction according to the number of types of the damaged component clustering cluster, as well as the frequency damage degree and energy damage degree is: Among the clustering results of all concrete components in the th detection direction, the number of types of damage clustering clusters to which the IMF components corresponding to the th concrete component belong, the frequency damage degree and energy damage degree of the th concrete component in the th detection direction. The normalized value of the product of these three is used as the comprehensive damage degree of the th concrete component in the th detection direction.

8. The non-destructive testing method for a prefabricated concrete component according to claim 1, characterized in that, The specific method for using the corrected defect type integrity to perform weighted correction on the comprehensive damage degree to obtain the corrected damage degree of the concrete component is: Multiply the comprehensive damage degree of the th concrete component in the th detection direction by the defect type integrity degree of the th concrete component in the th detection direction, and denote the result as the modified damage factor of the th concrete component in the th detection direction; Normalize the sum of the corrected damage factors of the th concrete member in all inspection directions, and use it as the th corrected damage degree of the concrete member.

9. The non-destructive testing method for an assembled concrete component according to claim 1, characterized in that, The specific method for performing detection on the concrete component based on the corrected damage degree is: Preset a threshold parameter , if the corrected damage degree of the th concrete component is greater than or equal to the threshold parameter , mark the th concrete component as a non - qualified concrete component.

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