Nondestructive testing method for fabricated concrete member
Through multi-directional ultrasonic detection and signal decomposition technology, combined with cluster analysis of IMF components and correcting defect type integrity, the limitations of traditional ultrasonic detection technology in the face of complex defect distribution are solved, and a more accurate assessment of damage to concrete components is achieved.
Patent Information
- Application Number
- CN202510560300.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-30
- Publication Date
- 2025-06-03
- Estimated Expiration
- 2045-04-30
AI Technical Summary
Traditional ultrasonic detection technology has significant limitations when facing the complex spatial defect distribution inside concrete components, making it difficult to accurately decouple defect characteristics and comprehensively detect all defects, resulting in inaccurate detection results.
Multi-directional detection and signal decomposition technology are used to obtain the echo signals of concrete components in different detection directions, and through cluster analysis of IMF components and correct the integrity of defect type, the correction degree of damage in each detection direction is obtained, and weighted correction is performed to obtain the comprehensive damage degree.
It effectively overcomes the limitations of single-direction detection, realizes a more accurate comprehensive damage assessment of concrete components, and can more accurately identify and evaluate defects inside the components.
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Figure CN120086701A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of data processing, and particularly to a non-destructive testing method for precast concrete components. Background Art
[0002] With the continuous improvement of the construction industry's requirements for construction quality, precast concrete components, as important structural units in modern architecture, are widely used in projects such as high-rise buildings, bridges, and tunnels. To ensure the safety and durability of these components during construction and use, it is particularly important to conduct effective quality inspection 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 internal defects of concrete components through ultrasonic signals has become a research hotspot in current non-destructive testing technologies.
[0003] Traditional ultrasonic testing technologies mainly adopt a single-probe unidirectional 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-shaped holes formed by aggregate segregation, vertical cracks caused by insufficient vibration, and delamination interfaces induced by improper steam curing, generate ultrasonic echo signals that present 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, thereby 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: Obtaining echo signals of all concrete components in the same batch in different detection directions; 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; Clustering all the IMF components of all concrete components in each detection direction, and obtaining a non-destructive component clustering cluster and a damage clustering cluster; according to the difference in the central frequency and amplitude of the IMF components between the non-destructive component clustering cluster and the damage clustering cluster, obtaining 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 clustering cluster, as well as the frequency damage degree and energy damage degree, obtaining the comprehensive damage degree of each concrete component in each detection direction; The comprehensive damage degree is weighted and corrected by using the corrected defect type integrity to obtain the corrected damage degree of the concrete component; the concrete component is detected based on the corrected damage degree.
[0005] 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: The central frequency and amplitude mean value of each IMF component are used as the feature vector of each IMF component. Using the DBSCAN clustering algorithm for the th concrete component in the th detection direction, clustering the feature vectors of all IMF components to obtain the clustering result of the th concrete component in the th detection direction; recording the number of types of clustering clusters in the clustering result of the th detection direction as the first type number. Using the DBSCAN clustering algorithm for the th concrete component for all IMF components in all detection directions, clustering the feature vectors to obtain the clustering result of the th concrete component in all detection directions; recording the number of types of clustering clusters in the clustering result of all detection directions as the overall type number. Taking the ratio of the first type number to the overall type number as the defect type completeness degree of the th concrete component in the th detection direction. According to the difference in the clustering clusters to which the IMF components in different detection directions belong, obtain the obviousness degree of each IMF component in each detection direction. Using the obviousness degree to correct the defect type completeness degree to obtain the corrected defect type integrity of each concrete component in each detection direction.
[0006] Preferably, the 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 includes the following specific steps: In the clustering result of the th concrete component in all detection directions, record the clustering cluster to which the th concrete component in the th detection direction and the th IMF component belongs as the target clustering cluster. 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. Multiply the number of IMF components in the target clustering cluster in the th detection direction by the first ratio, and use the product as the th concrete component's th IMF component's obviousness degree in the
[0007] Preferably, the method of using the obviousness degree to correct the defect type completeness to obtain the corrected defect type completeness of each concrete component in each detection direction includes the following specific steps: Multiply the obviousness degree of the th IMF component of the th concrete component in the th detection direction by the defect type completeness of the th concrete component in the th detection direction, and denote the product as the th IMF component's correction factor; Normalize the cumulative sum of the correction factors of all IMF components of the th concrete component in the th detection direction, and use the normalized value as the th concrete component's corrected defect type completeness in the th detection direction.
[0008] Preferably, the method of clustering all IMF components of all concrete components in each detection direction and obtaining the non-damaged component clustering cluster and the damaged clustering cluster includes the following specific steps: In the clustering results of all concrete components in the th detection direction, take the clustering cluster with the largest number of IMF components as the th detection direction's non-damaged clustering cluster; Denote all clustering clusters other than the non-damaged clustering cluster as damaged clustering clusters.
[0009] Preferably, the method of obtaining the frequency damage degree and energy damage degree of each concrete component in each detection direction according to the differences in the center frequencies and amplitudes of the IMF components between the non-damaged component clustering cluster and the damaged clustering cluster includes the following specific steps: Take the IMF components in the damaged clustering cluster as damaged components; According to the difference in the center frequency between the damaged components and the IMF components in the non-damaged clustering cluster, and the difference in the center frequency between the damaged components and other IMF components in their respective damaged clustering clusters, obtain the The frequency damage degree of a concrete component in the th detection direction; Denote the mean value of all amplitudes in all IMF components in the non-damaged clustering cluster as the target mean value; Denote 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; Denote the product of 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 in the th detection direction as the energy damage factor of the th damage component; Denote the normalized value of the sum of the energy damage factors of all damage 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.
[0010] Preferably, the specific method for obtaining the frequency damage degree of the th concrete component in the th detection direction includes: Denote 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-damaged clustering cluster as the frequency difference value of the th damage component; Denote 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 obviousness degree of the th concrete component in the th detection direction as the frequency damage factor of the th damage component; Denote 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 th detection direction. The frequency damage degree of a concrete member in the th detection direction.
[0011] 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, as well as the frequency damage degree and energy damage degree, specifically includes: Among the clustering results of all concrete members in the th detection direction, the number of types of damage clustering clusters to which the IMF components corresponding to the th concrete member belong, the frequency damage degree and energy damage degree of the th concrete member 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 member in the th detection direction.
[0012] Preferably, the method for obtaining the corrected damage degree of a concrete member by weighted correction of the comprehensive damage degree using the corrected defect type integrity specifically includes: 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; The normalized value of the sum of the corrected damage factors of the th concrete member in all detection directions is used as the corrected damage degree of the th concrete member.
[0013] Preferably, the method for detecting a concrete member based on the corrected damage degree specifically includes: Preset a threshold parameter . 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.
[0014] 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 integrity of the corrected defect type 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 integrity of the corrected defect type to obtain the corrected damage degree of the concrete member; the concrete member is detected based on the corrected damage degree; thereby solving the problem of signal overlap of internal defects of the concrete member, and correcting the damage assessment results of each detection direction by comprehensively considering the integrity of defect types in different detection directions, which can effectively overcome the limitations of single-direction detection, so as to achieve a more accurate comprehensive damage assessment of the concrete member. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] 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 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.
[0016] Figure 1 It is a flowchart of the steps of a non-destructive testing method for precast concrete members of the present invention; Figure 2 It is a flowchart of the characteristic relationship of a non-destructive testing method for precast concrete members of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0017] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following will, in conjunction with the accompanying drawings and preferred embodiments, describe in detail the specific implementation manner, structure, characteristics and effects of a non-destructive testing method for precast concrete members proposed according to the present invention. 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.
[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs.
[0019] The following will specifically describe the specific solution of a non-destructive testing method for precast concrete members provided by the present invention with reference to the accompanying drawings.
[0020] 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: Step S001: Obtain the echo signals of all concrete components in the same batch in different detection directions.
[0021] 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: Preset 12 detection directions: , and these angles represent the incident angles of the ultrasonic probe relative to the surface of the concrete component; For any concrete component in the same batch in any detection direction, adjust the ultrasonic probe to an angle that forms the any detection direction with the surface of the concrete component, 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.
[0022] Thus, the echo signals of all concrete components in the same batch in different detection directions are obtained through the above method.
[0023] 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.
[0024] It should be noted that concrete itself is a complex composite material. In its internal structure, there are not only common defects such as cracks and holes, but also may 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 existing inside concrete components: honeycomb-like holes formed by aggregate segregation, vertical cracks caused by insufficient vibration, and delamination interfaces induced by improper steam curing; during the ultrasonic testing process, due to the wide variety and uneven distribution of internal defects in concrete components, there may be an overlapping phenomenon of multiple defect signals in the echo signal, that is, the ultrasonic echo signal generated by it shows a non-linear superposition characteristic in the time-frequency domain; that is, due to the wide variety and uneven distribution of internal defects in concrete components, 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 the signal components of different types of defects.
[0025] Preferably, in some implementation manners of the embodiments of the present invention, since the frequency of each IMF component describes the frequency change of this component at different time points, the central frequency is the average frequency of this IMF component within the entire time window, and the amplitude describes the energy distribution of this IMF component within the entire time window; these features can reflect the features of different types of defects; the echo signals of each concrete component in each detection direction are decomposed by using the VDM decomposition algorithm to obtain several 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.
[0026] Among them, the VDM decomposition algorithm is a prior art, and no more details are described here in this embodiment.
[0027] Preferably, in some implementation manners of the embodiments of the present invention, DBSCAN is a density-based clustering method, which can divide the IMF components into multiple clustering clusters according to the similarity of the feature vectors. Each clustering cluster represents a type of defect with similar features in a certain detection direction. Therefore, the clustering clusters of different types of defects that may appear in each detection direction can be obtained, and these clustering clusters reflect the possible defects of the concrete component in each detection direction; then, according to the difference situation of 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 degree of the defect type of each detection direction is as follows: The central frequency and amplitude mean value of each IMF component are used as the feature vector of each IMF component; Using the DBSCAN clustering algorithm for the th concrete component in the th detection direction, all the feature vectors of the IMF components are clustered to obtain the clustering result of the th concrete component in the th detection direction; the number of types of clustering clusters in the clustering result of the th detection direction is recorded as the first type number; Using the DBSCAN clustering algorithm for the th concrete component in all detection directions, all the feature vectors of the IMF components are clustered to obtain the clustering result of the th concrete component in all detection directions; the number of types of clustering clusters in the clustering result of all detection directions is recorded as the overall type number; The ratio of the first type number to the overall type number is used as the completeness degree of the defect type of the th concrete component in the th detection direction.
[0028] Among them, the DBSCAN clustering algorithm is a prior art and will not be elaborated here in this embodiment; if the th concrete member has a larger number of clustering cluster types in the th detection direction, it means that the th concrete member has more complete defect types in the th detection direction.
[0029] It should be noted that for any component clustering cluster, if the same detection direction corresponding to the IMF component in the component clustering cluster appears more frequently, it indicates that the detection effect of the type of damage defect corresponding to the 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 of damage defect corresponding to the component clustering cluster existing in the concrete member is small and can be ignored in the actual scenario; on the contrary, the larger the number of IMF components in the component clustering cluster, the greater the degree of the type of damage defect corresponding to the component clustering cluster existing in the concrete member.
[0030] Preferably, in some implementation manners of the embodiment of the present invention, if the number of times the detection direction corresponding to the th IMF component appears in the affiliated clustering cluster, and the total number of IMF components in the affiliated clustering cluster is larger, it indicates that the th IMF component has a more obvious performance in the th detection direction; then, according to the difference situation of the clustering results of the IMF components of the concrete member between each detection direction and all detection directions, the specific method for obtaining the defect type completeness degree of each detection direction is as follows: In 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; 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 of all detection directions is denoted as the first ratio; The product of the number of all IMF components in the th detection direction in the target clustering cluster and the first ratio is used as the th concrete member's th detection direction's th IMF component's obvious performance degree; The specific formula is: In the formula, represents the The manifestation degree of the th IMF component of a concrete member in the th detection direction; Denote the th concrete member in the th detection direction of the number of all IMF components in the cluster to which the th IMF component belongs; Denote the total number of all IMF components in all component clusters in the clustering result of the th concrete member in all detection directions; Denote the th concrete member in the th detection direction of the
[0031] Preferably, in some implementation manners of the embodiments of the present invention, if the th concrete member has a greater manifestation degree of all IMF components in the th detection direction, it indicates that the th concrete member can more accurately obtain damage defects in the th detection direction; then, the manifestation degree is used to correct the defect type integrity, and the specific method for obtaining the corrected defect type integrity of each concrete member in each detection direction is as follows: Multiply the manifestation degree of the th IMF component of the th concrete member in the th detection direction by the defect type integrity 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 corrected defect type integrity of the th concrete member in the th detection direction; The specific formula is: In the formula, Denote the corrected defect type integrity of the th concrete member in the th detection direction; Denote the The number of all IMF components of a concrete member in the th detection direction; Indicates the th concrete member in the th detection direction of the th IMF component's degree of obvious manifestation; Indicates the th concrete member in the th detection direction's defect type integrity; Indicates the linear normalization function.
[0032] Thus far, the corrected defect type integrity of each concrete member in each detection direction is obtained through the above method.
[0033] Step S003: Cluster all IMF components of all concrete members in each detection direction, and obtain a non-destructive component cluster and a damage cluster; according to the differences in the center 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 member 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 member in each detection direction.
[0034] 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 feature vectors of the signal components in each detection direction, clusters of different defect types that may occur in each concrete member in each detection direction are obtained; and damaged members will be different from normal members in terms of IMF components, usually manifested as frequency offset and energy distribution changes. These differences will cause damaged members to fall into different clusters in the clustering analysis. Therefore, by analyzing the differences in the center frequency and amplitude of the IMF components between the non-destructive component cluster and the damage cluster, the comprehensive damage degree of each concrete member in each detection direction is obtained.
[0035] Preferably, in some implementation manners of the embodiments of the present invention, since most members in the same batch are normal members, in the clustering analysis of IMF components, normal members will occupy the cluster with the largest number. The specific method for clustering all IMF components of all concrete members in each detection direction and obtaining a non-destructive component cluster and a damage cluster is as follows: Use the DBSCAN clustering algorithm to cluster the feature vectors of all IMF components of all concrete members in the th detection direction, and obtain all concrete members in the The clustering results in each detection direction; the clustering cluster with the largest number of IMF components in the clustering results is used as the non-damaged clustering cluster in the th detection direction; all clustering clusters except the non-damaged clustering cluster in the clustering results are recorded as damaged clustering clusters.
[0036] It should be noted that as the damage of the concrete component gradually increases, its natural frequency will change, and the change in stress distribution caused by the 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 serious the damage, the more obvious the frequency change; and in the case of damage, the vibration mode energy distribution of the concrete component will change, and the damage may cause the stiffness of some structures to decrease. Therefore, the energy in the corresponding IMF components may shift or become unbalanced; as the damage increases, 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 non-damaged component clustering cluster and the damaged 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: If the th concrete component in the th detection direction, the th IMF component belongs to the damaged clustering cluster, the th IMF component is recorded as the damaged component of the th concrete component in the th detection direction; According to the difference in the central frequency between the damaged component and the IMF components in the non-damaged clustering cluster, and the difference in the central frequency between the damaged component and other IMF components in the damaged clustering cluster to which it belongs, 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-damaged clustering cluster is recorded as the target mean value; the absolute value of the difference between the mean value of the amplitudes of the th concrete component in the th detection direction and the target mean value is recorded as the energy difference value of the th damaged component; 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 damaged component of the th concrete component in the th detection direction is used as the product of these three, Energy damage factor of a damage component; The th concrete member's normalized value of the sum of the energy damage factors of all damage components in the th detection direction is used as the energy damage degree of the th concrete member in the th detection direction; The specific formula is: 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.
[0037] 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 increases, 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.
[0038] 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 The farther the distance between a damage component and the cluster center of the damage cluster it belongs to, the greater the degree of damage of the th damage component relative to other IMF components in the damage cluster it belongs to; the more obvious the performance of the th damage component in the th detection direction, the higher the confidence level of its frequency damage degree.
[0039] 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 member in the 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 member in the th detection direction and the average value of the central frequencies of all IMF components in the non-damage cluster, and denote it as the frequency difference value of the th damage component; Take the product of 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 it belongs to, and the obviousness degree of the th concrete member in the th detection direction of the th damage component as the frequency damage factor of the th damage component; Take 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 as the frequency damage degree of the th concrete member in the th detection direction; The specific formula is: In the formula, represents the frequency damage degree of the th concrete member in the th detection direction; represents the central frequency of the th damage component of the th concrete member in the th detection direction; represents the average value of the central frequencies of all IMF components in the damage cluster to which the th damage component in the th detection direction belongs; represents the The number of all damage components of a concrete member in the th detection direction; Denote the th concrete member in the th detection direction, the th damage component's obviousness degree; Denote the th concrete member in the th detection direction, the th damage component's Euclidean distance from the clustering center of the damage clustering cluster it belongs to; Denote the linear normalization function.
[0040] Preferably, in some implementation manners of the embodiments of the present invention, when the number of types of the damage clustering clusters to which the IMF components of the concrete member in the th detection direction belong is more, it indicates that the damage type in the th detection direction is more complex, the frequency damage degree and the energy damage degree are greater, then the damage detected in the 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 the damage clustering clusters, as well as the frequency damage degree and the energy damage degree is: Normalize 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 results 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 th detection direction; The specific formula is: In the formula, Denote the comprehensive damage degree of the th concrete member in the th detection direction; Denote the number of types of the damage clustering cluster to which the IMF components corresponding to the th concrete member belong in the clustering results of all concrete members in the th detection direction; Denote the energy damage degree of the th concrete member in the th detection direction; Denote the The frequency damage degree of a concrete component in the th detection direction.
[0041] Thus, the comprehensive damage degree of each concrete component in each detection direction is obtained through the above method.
[0042] 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 component; perform detection on the concrete component based on the corrected damage degree.
[0043] 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 component is as follows: 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 it as the corrected damage factor of the th concrete component in the th detection direction; Normalize the sum of the corrected damage factors of the th concrete component in all detection directions, and use it as the corrected damage degree of the th concrete component; The specific formula is: In the formula, represents the corrected damage degree of the th concrete component; represents the comprehensive damage degree of the th concrete component in the th detection direction; represents the corrected defect type integrity of the th concrete component in the th detection direction; represents the linear normalization function.
[0044] Preferably, in some implementation manners of the embodiment of the present invention, the specific method for performing detection on the concrete component based on the corrected damage degree is as follows: Preset a threshold parameter , where in this embodiment, is taken as an example for description, and this embodiment does not make specific limitations, where is determined according to the specific implementation situation.
[0045] If the corrected damage degree of the th concrete component is greater than or equal to the threshold parameter , the th concrete component is recorded as a non - qualified concrete component.
[0046] Please refer to Figure 2 , which shows a characteristic relationship flowchart of a non - destructive testing method for prefabricated concrete components; Thus, this embodiment is completed.
[0047] 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 principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. A nondestructive testing method for assembled concrete components, characterized in that: The method comprises the following steps: Obtain echo signals of all concrete components in the same batch in different detection directions; Decomposing the echo signal to obtain a number of IMF components; obtaining the corrected defect type integrity of each concrete component in each detection direction according to the difference in clustering results between the IMF components of each concrete component in each detection direction and all detection directions; All IMF components of all concrete components in each detection direction are clustered, and lossless component clustering clusters and damage clustering clusters are obtained; according to the differences in the central frequency and amplitude of the IMF components between the lossless component clustering clusters and the damage clustering clusters, the frequency damage degree and energy damage degree of each concrete component in each detection direction are 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 component in each detection direction is obtained; The comprehensive damage degree is weightedly corrected by using the corrected defect type integrity to obtain the corrected damage degree of the concrete component; the concrete component is inspected based on the corrected damage degree.
2. A nondestructive testing method for assembled concrete components according to claim 1, characterized in that: The method of obtaining the corrected defect type integrity of each concrete component in each detection direction according to the difference in clustering results between the IMF component of each concrete component in each detection direction and all detection directions includes: The center frequency and amplitude mean of each IMF component are used as the eigenvector of each IMF component; Using DBSCAN clustering algorithm The concrete components in The eigenvectors of all IMF components in the detection direction are clustered to obtain The concrete components in The clustering results in the detection direction; The number of types of clusters in the clustering results in each detection direction is recorded as the first type number; Using DBSCAN clustering algorithm The eigenvectors of all IMF components of a concrete component in all detection directions are clustered to obtain The clustering results of the concrete components in all detection directions are obtained; the number of types of clusters in the clustering results in all detection directions is recorded as the overall number of types; The ratio of the number of the first type to the number of the overall type is taken as the The concrete components in The completeness of defect types in each inspection direction; According to the differences in the clusters to which the IMF components in different detection directions belong, the performance level of each IMF component in each detection direction is obtained; The completeness of the defect type is corrected using the degree of manifestation, and the corrected defect type completeness of each concrete component in each detection direction is obtained.
3. A nondestructive testing method for assembled concrete components according to claim 2, characterized in that: The specific method of obtaining the performance level of each IMF component in each detection direction according to the difference in clusters to which the IMF components in different detection directions belong is as follows: In the In the clustering results of all detection directions of concrete components, the The concrete components in The first detection direction The cluster to which the IMF component belongs is recorded as the target cluster; The ratio between the number of all IMF components in the target cluster and the total number of all IMF components in all clusters in the clustering results in all detection directions is recorded as a first ratio; All the first The product of the number of IMF components in the first detection direction and the first ratio is taken as the The concrete components in The first detection direction The degree to which each IMF component is expressed is significant.
4. The nondestructive testing method for assembled concrete components according to claim 2, characterized in that: The method of correcting the completeness of defect types by using the degree of obviousness of the defect types to obtain the corrected defect type completeness of each concrete component in each detection direction includes the following specific methods: The first The concrete components in The first detection direction The performance of the first IMF component is more obvious than that of the The concrete components in The product of the completeness of the defect types in the detection directions is recorded as The correction factor for the first IMF component; The concrete components in The normalized value of the cumulative sum of the correction factors of all IMF components in the detection direction is taken as the The concrete components in Correction defect type completeness in each inspection direction.
5. The nondestructive testing method for assembled concrete components according to claim 1, characterized in that: The specific method of clustering all IMF components of all concrete components in each detection direction and obtaining lossless component clustering clusters and damage clustering clusters includes: In all concrete elements Among the clustering results in the detection direction, the cluster with the largest number of IMF components is taken as the first The damage-free clusters in the detection direction are identified; all clusters except the damage-free clusters are recorded as damage clusters.
6. The nondestructive testing method for assembled concrete components according to claim 2, characterized in that: The method of obtaining the frequency damage degree and energy damage degree of each concrete component in each detection direction according to the difference in the central frequency and amplitude of the IMF component between the lossless component clustering cluster and the damaged clustering cluster includes the following specific methods: The IMF component in the damage cluster is taken as the damage component; According to the difference in center frequency between the damaged component and the IMF component in the undamaged cluster, and the difference in center frequency between the damaged component and other IMF components in the damaged cluster to which it belongs, the first The concrete components in Frequency damage degree in each detection direction; The mean of all amplitudes of all IMF components in the damage-free cluster is recorded as the target mean; The concrete components in The first detection direction The absolute value of the difference between the amplitude mean and the target mean in the first damage component is recorded as The energy difference value of each damage component; The first The energy difference value of the damage component The standard deviation of the amplitude of the damage component and the The concrete components in The first detection direction The product of these three is the degree of manifestation of the first damage component. Energy damage factor of each damage component; The first The concrete components in The normalized value of the accumulated sum of the energy damage factors of all damage components in the detection direction is taken as the The concrete components in The degree of energy damage in each detection direction.
7. A nondestructive testing method for assembled concrete components according to claim 6, characterized in that: The acquisition The concrete components in The frequency damage degree in each detection direction includes the following specific methods: The first The concrete components in The first detection direction The absolute value of the difference between the center frequency of the first damaged component and the mean of the center frequencies of all IMF components in the undamaged cluster is recorded as The frequency difference value of the damage component; The first The frequency difference value of the first damage component, The Euclidean distance between the damage component and the cluster center of the damage cluster to which it belongs, and the The concrete components in The first detection direction The product of these three is the degree of manifestation of the first damage component. Frequency damage factor of each damage component; The first The concrete components in The normalized value of the cumulative sum of the frequency damage factors of all damage components in the detection direction is taken as the The concrete components in The frequency damage degree in each detection direction.
8. The nondestructive testing method for assembled concrete components according to claim 5, characterized in that: The method of obtaining the comprehensive damage degree of each concrete component in each detection direction according to the number of types of damage clusters, frequency damage degree and energy damage degree includes the following specific methods: All concrete components shall be In the clustering results in the detection directions, The number of types of damage clusters to which the IMF components corresponding to the concrete components belong, The concrete components in The normalized value of the product of the frequency damage degree and energy damage degree in the detection direction is used as the first The concrete components in The comprehensive damage degree in each detection direction.
9. The nondestructive testing method for assembled concrete components according to claim 1, characterized in that: The method of weighted correction of the comprehensive damage degree by using the corrected defect type integrity to obtain the corrected damage degree of the concrete component includes the following specific methods: The first The concrete components in The comprehensive damage degree in each detection direction is The concrete components in The product of the completeness of the defect types in the detection directions is recorded as The concrete components in Corrected damage factor in each detection direction; The first The normalized value of the cumulative sum of the modified damage factors of the concrete component in all detection directions is taken as the Corrected damage degree of a concrete component.
10. A nondestructive testing method for assembled concrete components according to claim 1, characterized in that: The specific method of testing the concrete component based on the corrected damage degree is as follows: Preset a threshold parameter , The modified damage level of the concrete component is greater than or equal to the threshold parameter , will The concrete components are recorded as unqualified concrete components.
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