A non-destructive detection method and system for concrete internal defects and compactness

Abstract

The present invention relates to the field of road engineering technology, and specifically to a non-destructive detection method and system for internal defects and compactness of concrete, the method comprising: collecting dynamic response data of the internal structure of concrete, and preliminarily determining the stress abnormality area; according to the preliminarily determined stress abnormality area, deploying an intelligent sensor array, monitoring the physical state data of the local area, and generating depth monitoring data; synchronously emitting sound waves and vibration waves in the local area, monitoring the propagation path and phase change, and obtaining propagation characteristic data; reconstructing the distribution state of concrete density, and simulating the dynamic response under different load conditions to obtain compactness detection results. Through the present invention, the problems of destructive sampling, local detection and insufficient precision existing in traditional methods are effectively solved, and high-precision and comprehensive detection of internal defects of concrete is achieved, thereby improving the safety and reliability of concrete structures.

Description

Technical Field

[0001] The invention relates to the technical field of road engineering, and in particular to a method and system for non-destructive detection of internal defects and compactness of concrete. Background Art

[0002] Traditional concrete testing methods include core drilling, ultrasonic testing, and impact echo testing, which have many shortcomings in practical applications. Although the core drilling method can directly obtain internal samples, it is a destructive test with a limited sampling range and may cause secondary damage to structural performance; although the ultrasonic and impact echo methods have the characteristics of non-destructive testing, their detection range is limited and it is difficult to effectively identify small defects and density changes inside complex structures. In addition, these traditional methods mostly rely on a single detection technology, which is difficult to meet the needs of modern buildings for high-precision and comprehensive testing of concrete structures. Summary of the invention

[0003] The present invention provides a method and system for non-destructive detection of internal defects and compactness of concrete, thereby effectively solving the problems pointed out in the background technology.

[0004] In order to achieve the above object, the technical solution adopted by the present invention is: A non-destructive detection method for internal defects and compactness of concrete, comprising: Arrange a number of controllable vibration exciters to continuously emit mechanical vibration waves along the concrete structure, collect dynamic response data of the internal structure of the concrete, and preliminarily determine the stress abnormality area; According to the initially determined stress abnormal area, an intelligent sensor array is deployed to monitor the physical state data of the local area and generate depth monitoring data; Synchronously transmitting sound waves and vibration waves in the local area, monitoring the propagation path and phase changes, identifying internal defects and micro-deformations of slow-setting soil, and obtaining propagation characteristic data; The dynamic response data, physical state data and propagation characteristic data are integrated and input into a three-dimensional finite element model to reconstruct the distribution state of concrete density, simulate the dynamic response under different load conditions, and obtain the density test result.

[0005] Furthermore, several controllable vibration exciters are arranged to continuously emit mechanical vibration waves along the concrete structure, collect dynamic response data of the internal structure of the concrete, and preliminarily determine the stress abnormality area, including: Arrange several controllable vibration exciters at key nodes of force transmission; According to the structural characteristics, the frequency range, wavelength and amplitude of the excitation wave are set, and the vibration wave is emitted according to the set frequency period to obtain the response data of the concrete structure to the excitation wave; Record the vibration wave propagation characteristics in concrete to form vibration wave propagation data; By analyzing the abnormal wave characteristics of the vibration wave in the propagation path, the stress abnormality area can be preliminarily identified.

[0006] Furthermore, according to the initially determined stress abnormal area, an intelligent sensor array is deployed to monitor the physical state data of the local area and generate in-depth monitoring data, including: Obtain displacement and deformation data of a local area and generate a three-dimensional deformation model; Collecting and analyzing acceleration and velocity data to obtain the dynamic response of the local area under different load conditions, and generating a mechanical response characteristic diagram of the local area; Based on the mechanical response characteristic diagram, the stress distribution and strain changes are monitored in real time to generate a stress-strain curve of the local area; According to the stress-strain curve, the vibration frequency and spectrum changes are analyzed to obtain the vibration spectrum characteristics of the local area, and the depth monitoring data is generated.

[0007] Further, obtaining the vibration spectrum characteristics of the local area includes: Monitoring the vibration frequency change of the local area and constructing a vibration spectrum database of the local area; Analyze the vibration frequency changes based on spectrum analysis technology to obtain the long-term trend of frequency characteristics; The vibration frequency domain characteristics are correlated with the displacement, acceleration and stress-strain characteristics to generate the vibration spectrum characteristics of the local area.

[0008] Furthermore, sound waves and vibration waves are emitted synchronously in the local area, the propagation path and phase change are monitored, internal defects and micro-deformations of the slow-setting soil are identified, and propagation characteristic data are obtained, including: Monitor the propagation path of sound and vibration waves in concrete, and locate abnormal density areas inside the concrete by identifying deflection and attenuation in the path; Record the phase changes of sound waves and vibration waves, analyze the phase lag or jump during the propagation process, identify micro-deformations and discontinuities in concrete structures, and confirm the specific location and characteristics of internal defects; Measure and compare the propagation speed and attenuation characteristics of sound waves and vibration waves on different paths to further determine the specific type of defects and density changes; The frequency response characteristics of sound waves and vibration waves are analyzed, and the density characteristics of concrete are identified through spectrum changes, the stress concentration points are determined, and the defects and density distribution of local areas are generated.

[0009] Furthermore, the dynamic response data, physical state data and propagation characteristic data are integrated and input into a three-dimensional finite element model to reconstruct the distribution state of concrete density, and simulate the dynamic response under different load conditions to obtain density test results, including: Integrate and preprocess dynamic response data, physical state data, and propagation characteristic data; Construct a three-dimensional finite element model based on actual structural parameters and assign material properties; Applying different load conditions in the three-dimensional finite element model to simulate various mechanical states that may be encountered in actual use and analyze the effect of concrete density on performance; Finite element analysis is performed to obtain the stress, strain and displacement distribution under different loads, identify the changes in concrete density, and ultimately generate density test results and distribution diagrams.

[0010] Furthermore, the finite element analysis method adopts linear static analysis and dynamic time history analysis.

[0011] Furthermore, after the dynamic response analysis, post-processing technology is used to further optimize the analysis results, including: Performing sensitivity analysis on the parameters of the three-dimensional finite element analysis model to identify the parameters that have the greatest impact on the concrete density test result; Based on the uncertainty of input data, perform probabilistic analysis to evaluate the structural performance and safety under different conditions; According to the results of sensitivity analysis and uncertainty analysis, the analysis results are optimized and adjusted, and the revised compactness test results are obtained.

[0012] A non-destructive detection system for internal defects and compactness of concrete, the system comprising: The abnormal area determination module arranges several controllable vibration exciters to continuously emit mechanical vibration waves along the concrete structure, collects dynamic response data of the internal structure of the concrete, and preliminarily determines the stress abnormal area; A depth data acquisition module deploys an intelligent sensor array according to the initially determined stress abnormality area, monitors the physical state data of the local area, and generates depth monitoring data; A propagation data acquisition module is used to synchronously emit sound waves and vibration waves in the local area, monitor the propagation path and phase changes, identify internal defects and micro-deformations of slow-setting soil, and acquire propagation characteristic data; The detection result acquisition module integrates the dynamic response data, physical state data and propagation characteristic data into a three-dimensional finite element model, reconstructs the distribution state of concrete density, and simulates the dynamic response under different load conditions to obtain the density detection result.

[0013] Furthermore, the abnormal area determination module includes: A sensor arrangement unit is provided to arrange a number of controllable vibration exciters at key force transmission nodes; The response data acquisition unit sets the frequency range, wavelength and amplitude of the excitation wave according to the structural characteristics, and emits the vibration wave according to the set frequency period to obtain the response data of the concrete structure to the excitation wave; A propagation data forming unit records the wave propagation characteristics of the vibration wave in the concrete to form vibration wave propagation data; The stress anomaly preliminary identification unit preliminarily identifies the stress anomaly area by analyzing the abnormal wave characteristics of the vibration wave in the propagation path.

[0014] The technical solution of the present invention can achieve the following technical effects: It effectively solves the problems of destructive sampling, local detection and insufficient precision existing in traditional methods, realizes high-precision and comprehensive detection of internal defects of concrete, and improves the safety and reliability of concrete structures. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 It is a flow chart of a non-destructive detection method for internal defects and compactness of concrete; Figure 2 Schematic diagram of the process for preliminarily determining the stress anomaly area; Figure 3 A schematic diagram of the process for generating deep monitoring data; Figure 4 A schematic diagram of a process for obtaining vibration spectrum characteristics of a local area; Figure 5 Schematic diagram of the process for obtaining propagation characteristics data; Figure 6 A schematic diagram of the process for obtaining the compactness test results; Figure 7 Schematic diagram of the process for further optimizing the analysis results using post-processing technology. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0019] Embodiment 1 like Figure 1 As shown, the present invention provides a method for non-destructive detection of internal defects and compactness of concrete, the method comprising: S1: Arrange several controllable vibration exciters to continuously emit mechanical vibration waves along the concrete structure, collect dynamic response data of the internal structure of the concrete, and preliminarily determine the stress abnormality area; Specifically, this step arranges a number of controllable vibration exciters to continuously emit mechanical vibration waves along the concrete structure to collect dynamic response data of the internal structure of the concrete. By analyzing these dynamic response data, the abnormal stress areas inside the concrete can be preliminarily determined. These areas may have voids, cracks or other defects. Identifying these abnormal stress areas is crucial for subsequent in-depth inspections because they may cause local stress concentration, thereby affecting the overall performance. In addition, the dynamic response data also provides an indirect basis for evaluating the compactness of concrete. By comparing the vibration characteristics of different areas, it is possible to determine which areas have compactness problems, thereby guiding subsequent monitoring and maintenance work. Finally, the dynamic response data obtained in this step not only provides an important basis for the subsequent deployment of intelligent sensors and the synchronous monitoring of sound waves and vibration waves.

[0020] S2: Based on the initially determined stress abnormality area, deploy an intelligent sensor array to monitor the physical state data of the local area and generate in-depth monitoring data; Specifically, through the arrangement of intelligent sensors, key physical parameters such as stress, strain, displacement and temperature can be obtained. These data are crucial for timely detection of potential problems and ensuring safety during use. In addition, monitoring of local areas can deeply analyze the density and durability of concrete, providing an important basis for evaluating the mechanical properties of the area. These in-depth monitoring data will not only help identify specific defects or structural abnormalities, but will also provide necessary inputs for subsequent finite element analysis and overall structural health assessment, enhancing the scientificity and accuracy of the detection process.

[0021] S3: Synchronously transmit sound waves and vibration waves in a local area, monitor the propagation path and phase changes, identify internal defects and micro-deformations of slow concrete, and obtain propagation characteristic data; Specifically, by analyzing the propagation of sound waves and vibration waves in concrete, potential defects such as voids and cracks can be identified, thereby evaluating the safety and reliability of the structure; at the same time, monitoring phase changes can reveal micro-deformations inside the concrete, providing important information for material properties and structural health; in addition, the propagation characteristic data obtained, including propagation velocity and attenuation characteristics, are crucial for evaluating the compactness and material properties of concrete.

[0022] S4: The dynamic response data, physical state data and propagation characteristic data are integrated and input into the three-dimensional finite element model to reconstruct the distribution state of concrete density, and simulate the dynamic response under different load conditions to obtain the density test results.

[0023] Specifically, by integrating multiple data, it is possible to comprehensively analyze the density distribution inside the concrete, identify possible defects and weaknesses, and improve the accuracy of the assessment. In addition, dynamic simulation using finite element models can provide an in-depth understanding of the stress state and deformation characteristics that may be encountered in actual use, and thus evaluate its safety.

[0024] The present invention effectively solves the problems of destructive sampling, local detection and insufficient precision existing in traditional methods, realizes high-precision and comprehensive detection of internal defects of concrete, and improves the safety and reliability of concrete structures.

[0025] As a preferred embodiment of the above, Figure 2 As shown, step S1, arranging a number of controllable vibration exciters, continuously emitting mechanical vibration waves along the concrete structure, collecting dynamic response data of the internal structure of the concrete, and preliminarily determining the stress abnormality area, including: S11: Arrange several controllable vibration exciters at key force transmission nodes; S12: according to the structural characteristics, the frequency range, wavelength and amplitude of the excitation wave are set, and the vibration wave is emitted according to the set frequency period to obtain the response data of the concrete structure to the excitation wave; S13: recording the vibration wave propagation characteristics in the concrete to form vibration wave propagation data; S14: By analyzing the abnormal wave characteristics of the vibration wave in the propagation path, the stress abnormality area is preliminarily identified.

[0026] Specifically, several controllable vibration exciters are arranged at key nodes of force transmission. These exciters should be evenly distributed to ensure that the excitation wave can effectively cover the entire concrete structure and form a complete excitation network. According to the design structure characteristics, such as material properties, geometric shape, expected load, etc., the parameters of the excitation wave, including frequency range, wavelength and amplitude, can be set. Multiple frequency points can be selected for excitation to capture the response characteristics of different materials and ensure the diversity and comprehensiveness of the data. According to the set frequency period, mechanical vibration waves are continuously emitted through the control system. These vibration waves will excite the interior of the concrete and cause the dynamic response of the structure. During the emission process, the monitoring equipment records The specific time and conditions of each excitation are recorded for subsequent analysis; while the vibration wave is being emitted, high-precision sensors are used to record the wave propagation characteristics in the concrete. The key monitoring parameters include propagation speed, attenuation characteristics, frequency response, etc. Sensors should be arranged in multiple locations to obtain propagation data on different paths and form a comprehensive wave propagation data set; the collected propagation data is analyzed to identify anomalies in the wave characteristics, which may indicate defects or stress concentration areas inside the concrete. By comparing the wave characteristics of different paths, the specific location and nature of the stress abnormality area can be preliminarily determined, providing important clues for subsequent in-depth detection.

[0027] As a preferred embodiment of the above, Figure 3 As shown, step S2, according to the initially determined stress abnormality area, deploy an intelligent sensor array to monitor the physical state data of the local area and generate depth monitoring data, including: S21: Obtain displacement and deformation data of a local area and generate a three-dimensional deformation model; S22: Collect and analyze acceleration and velocity data to obtain the dynamic response of the local area under different load conditions, and generate a mechanical response characteristic diagram of the local area; S23: Based on the mechanical response characteristic diagram, the stress distribution and strain changes are monitored in real time to generate the stress-strain curve of the local area; S24: According to the stress-strain curve, analyze the vibration frequency and spectrum changes, obtain the vibration spectrum characteristics of the local area, and generate depth monitoring data.

[0028] Specifically, according to the initially determined stress abnormality area, multiple intelligent sensors are deployed in the local area. These sensors include displacement sensors, accelerometers and strain gauges, etc., which are designed to comprehensively monitor the physical state data of the area. The displacement sensors are used to collect the displacement and deformation data of the local area in real time. These data are used to generate a three-dimensional deformation model, which intuitively displays the deformation of the structure under load and facilitates subsequent analysis. Accelerometers and velocity sensors are used to collect the dynamic response data of the local area under different load conditions. By analyzing these data, mechanical response characteristic diagrams of the local area are generated to display the dynamic behavior under various load conditions. Based on the generated mechanical response characteristic diagrams, the stress distribution and strain changes in the local area are monitored in real time. The strain data obtained by the strain gauge can be used to draw stress-strain curves to further analyze the mechanical properties of the material. According to the generated stress-strain curves, the vibration frequency and spectrum changes in the local area are analyzed. This analysis helps to identify potential structural problems and obtain the vibration spectrum characteristics of the local area, and finally generate in-depth monitoring data, providing an important basis for structural health assessment.

[0029] As a preferred embodiment of the above, Figure 4 As shown, the vibration spectrum characteristics of the local area are obtained, including: A10: Monitor the vibration frequency changes in the local area and build a vibration spectrum database for the local area; A20: Analyze the vibration frequency changes based on spectrum analysis technology to obtain the long-term trend of frequency characteristics; A30: Correlate the vibration frequency domain characteristics with the displacement, acceleration, and stress-strain characteristics to generate the vibration spectrum characteristics of the local area.

[0030] Specifically, in a local area, high-precision sensors are used to continuously monitor changes in vibration frequency, record frequency data at each monitoring time point, and establish a vibration spectrum database for the local area. This database will include vibration frequency information in different time periods, providing a data basis for subsequent analysis; spectrum analysis technology is used to conduct in-depth analysis of the collected vibration frequency data, and by processing and analyzing frequency changes, the long-term trend of frequency characteristics is obtained, and the laws and potential problems of frequency changes are identified. This analysis can reveal the dynamic behavior of concrete structures under different environments and load conditions; the vibration frequency domain characteristics are correlated with the displacement, acceleration and stress-strain characteristics of the local area, and the vibration spectrum characteristics of the local area are generated by comparing the relationship between different parameters.

[0031] As a preferred embodiment of the above, Figure 5 As shown, step S3, synchronously emitting sound waves and vibration waves in a local area, monitoring the propagation path and phase change, identifying internal defects and micro-deformations of slow-setting soil, and obtaining propagation characteristic data, includes: S31: Monitor the propagation path of sound waves and vibration waves in concrete, and locate the abnormal density area inside the concrete by identifying the deflection and attenuation in the path; S32: Record the phase changes of sound waves and vibration waves, analyze the phase lag or jump during propagation, identify micro-deformations and discontinuities in concrete structures, and confirm the specific location and characteristics of internal defects; S33: Measure and compare the propagation speed and attenuation characteristics of sound waves and vibration waves on different paths to further determine the specific type of defects and density changes; S34: Analyze the frequency response characteristics of sound waves and vibration waves, identify the compactness characteristics of concrete through spectrum changes, determine the stress concentration points, and generate the defects and compactness distribution of local areas.

[0032] Specifically, multiple sound wave and vibration wave sensors are arranged at key nodes of the concrete structure to collect data during the wave propagation process. The sensors should be evenly distributed to ensure coverage of the entire monitoring area. While emitting sound waves and vibration waves, the wave propagation path in the concrete is recorded in real time. By monitoring the deflection and attenuation in the path, areas with abnormal density can be identified. For example, when the wave shows obvious attenuation or deflection during propagation, it indicates that there may be defects in the area. High-precision sensors are used to record the phase changes of sound waves and vibration waves, and capture the specific time when the wavefront arrives at each monitoring point. During the analysis process, attention is paid to phase lags or mutations, which may reflect micro-deformations or discontinuities in the concrete. By comparing the phase data of different paths, the signal Signal processing technology identifies defects inside concrete and confirms the specific location and characteristics of defects, such as voids and cracks; records the propagation time of sound waves and vibration waves on different paths to calculate the propagation speed. By comparing the velocity data of each path, it is possible to identify changes in the physical properties of concrete, analyze the attenuation of waves, and evaluate the impact of internal defects in concrete on wave propagation. If significant attenuation is found in certain areas, this may indicate insufficient density or other defects in that area; performs spectral analysis on the collected sound and vibration wave signals and extracts frequency response characteristics. Changes in the spectrum can reveal the density characteristics of concrete and indicate potential defects. Combined with spectral data, stress concentration sites in local areas can be determined, and a detailed report on defects and density distribution can be generated.

[0033] As a preferred embodiment of the above, Figure 6 As shown, step S4 integrates the dynamic response data, physical state data and propagation characteristic data into a three-dimensional finite element model, reconstructs the distribution state of concrete density, and simulates the dynamic response under different load conditions to obtain the density test results, including: S41: Integrate and preprocess the dynamic response data, physical state data and propagation characteristic data; S42: Construct a three-dimensional finite element model based on actual structural parameters and assign material properties; S43: Apply different load conditions in the three-dimensional finite element model to simulate various mechanical states that may be encountered in actual use and analyze the effect of concrete density on performance; S44: Perform finite element analysis to obtain the stress, strain and displacement distribution under different loads, identify the changes in concrete density, and finally generate density test results and distribution diagrams.

[0034] Specifically, firstly, dynamic response data (such as vibration and acoustic wave response), physical state data (such as displacement, strain, stress data) and propagation characteristic data (such as propagation speed and attenuation characteristics) obtained from different monitoring methods are collected, and the collected data are cleaned to remove outliers and noise to ensure the accuracy and consistency of the data. The data from different sources are integrated into a unified format for subsequent input into the finite element model to ensure the time synchronization and spatial alignment of each data set to improve the reliability of the analysis; based on the actual structural parameters (such as geometry, material distribution, boundary conditions, etc.), a three-dimensional model is constructed using finite element software. The model should accurately reflect the actual physical properties, and appropriate material properties, including elastic modulus, are assigned to each element in the model according to the characteristics and density data of concrete. , Poisson's ratio, etc., to ensure that the physical properties of the model are consistent with the actual situation; determine the types of loads that may be encountered in actual use, including static loads, dynamic loads, wind loads, and temperature changes, classify these loads and define their modes of action, apply different load conditions to the constructed three-dimensional finite element model, and simulate the reactions under various mechanical states; use finite element analysis software to run the model and perform calculations to obtain the stress, strain, and displacement distribution under different loads. This analysis can demonstrate the performance under various conditions, and identify changes in concrete density by interpreting the analysis results. For example, local stress concentration areas may indicate that the concrete is defective or has not achieved the expected density. Finally, based on the finite element analysis results, generate concrete density test results and density distribution diagrams.

[0035] As a preferred embodiment of the above embodiment, the finite element analysis method adopts linear static analysis and dynamic time history analysis.

[0036] Specifically, in linear static analysis, the response of the structure under static loads is mainly evaluated to determine the stability and bearing capacity of the concrete. First, various static loads such as deadweight, vehicle loads, and environmental loads are applied to the three-dimensional finite element model to ensure that the size and location of the loads are in line with the actual situation; then, the finite element analysis software is used to solve the stress, strain, and displacement distribution of the structure under these static loads, evaluate the safety factor of the structure, and identify areas of stress concentration and excessive deformation.

[0037] Dynamic time-history analysis focuses on simulating responses under dynamic loads (such as earthquakes, wind loads, and vehicle loads). First, according to the dynamic load conditions that may be encountered, the corresponding time history is defined, such as earthquake waveforms or random wind loads, and an appropriate time step is set to ensure the accuracy of the simulation; then, the dynamic analysis method is used to perform a time-history analysis on the three-dimensional finite element model to obtain transient response data under dynamic loads, including transient stress, strain, and displacement. By analyzing the dynamic response results, the vibration characteristics can be evaluated, potential dynamic instability areas can be identified, and the impact of the compactness of concrete on seismic resistance can be determined. Combining these two analysis methods can comprehensively evaluate the performance under various working conditions.

[0038] As a preferred embodiment of the above, Figure 7 As shown in the figure, after the dynamic response analysis, post-processing technology is used to further optimize the analysis results, including: B10: Conduct sensitivity analysis on the parameters of the three-dimensional finite element analysis model to identify the parameters that have the greatest impact on the concrete density test results; B20: Perform probabilistic analysis based on the uncertainty of input data to evaluate the structural performance and safety under different conditions; B30: Based on the results of sensitivity analysis and uncertainty analysis, the analysis results are optimized and adjusted, and the corrected compactness test results are obtained.

[0039] Specifically, first, a sensitivity analysis is performed on each parameter of the three-dimensional finite element analysis model to identify which parameters have the greatest impact on the concrete density test results. By gradually adjusting the value of each parameter, the changes in the analysis results are observed, and special attention is paid to those key parameters that cause significant changes in the results. Next, a probability analysis is performed based on the uncertainty of the input data. This process involves simulating the randomness of the model input parameters. Methods such as Monte Carlo simulation are usually used to evaluate changes in structural performance and safety under different conditions. By establishing a probability distribution function, the impact of uncertainty on structural response can be quantified, thereby gaining a more comprehensive understanding of the performance of concrete in actual use. Based on the results of sensitivity analysis and uncertainty analysis, the analysis results are optimized and adjusted, including correcting the parameters with greater influence and updating the model to reflect these changes. Finally, a corrected density test result is generated to provide a more accurate concrete density distribution state.

[0040] Embodiment 2 Based on the same inventive concept as the non-destructive detection method for internal defects and compactness of concrete in the aforementioned embodiment, the present invention also provides a non-destructive detection system for internal defects and compactness of concrete, the system comprising: The abnormal area determination module arranges several controllable vibration exciters to continuously emit mechanical vibration waves along the concrete structure, collects dynamic response data of the internal structure of the concrete, and preliminarily determines the stress abnormal area; The deep data acquisition module deploys an intelligent sensor array based on the initially determined stress abnormality area, monitors the physical state data of the local area, and generates deep monitoring data; The propagation data acquisition module emits sound waves and vibration waves synchronously in a local area, monitors the propagation path and phase changes, identifies internal defects and micro-deformations of slow-setting soil, and obtains propagation characteristic data; The test result acquisition module integrates the dynamic response data, physical state data and propagation characteristic data into the three-dimensional finite element model, reconstructs the distribution state of concrete density, and simulates the dynamic response under different load conditions to obtain the density test results.

[0041] The above-mentioned evaluation system in the present invention can effectively realize the non-destructive detection method of internal defects and density of concrete, and the technical effects that can be achieved are as described in the above-mentioned embodiments, which will not be repeated here.

[0042] As a preferred embodiment of the above, the abnormal area determination module includes: A sensor arrangement unit is provided to arrange a number of controllable vibration exciters at key force transmission nodes; The response data acquisition unit sets the frequency range, wavelength and amplitude of the excitation wave according to the structural characteristics, and emits the vibration wave according to the set frequency period to obtain the response data of the concrete structure to the excitation wave; A propagation data forming unit records the wave propagation characteristics of the vibration wave in the concrete to form vibration wave propagation data; The stress anomaly preliminary identification unit preliminarily identifies the stress anomaly area by analyzing the abnormal wave characteristics of the vibration wave in the propagation path.

[0043] Similarly, the above-mentioned optimization schemes for the system can also respectively achieve the optimization effects corresponding to the method in Example 1, which will not be repeated here.

[0044] Although the present application has been described in conjunction with specific features and embodiments thereof, it is apparent that various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. Accordingly, this specification and the accompanying drawings are merely exemplary illustrations of the present application as defined herein, and are deemed to have covered any and all modifications, variations, combinations or equivalents within the scope of the present application.

[0045] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalent technologies, the present application is intended to include these modifications and variations.

Claims

1. A non-destructive detection method for internal defects and compactness of concrete, characterized in that: include: Arrange a number of controllable vibration exciters to continuously emit mechanical vibration waves along the concrete structure, collect dynamic response data of the internal structure of the concrete, and preliminarily determine the stress abnormality area; According to the initially determined stress abnormal area, an intelligent sensor array is deployed to monitor the physical state data of the local area and generate depth monitoring data; Synchronously transmitting sound waves and vibration waves in the local area, monitoring the propagation path and phase changes, identifying internal defects and micro-deformations of slow-setting soil, and obtaining propagation characteristic data; The dynamic response data, physical state data and propagation characteristic data are integrated and input into a three-dimensional finite element model to reconstruct the distribution state of concrete density, simulate the dynamic response under different load conditions, and obtain the density test result.

2. The non-destructive detection method for internal defects and compactness of concrete according to claim 1, characterized in that: Arrange several controllable vibration exciters to continuously emit mechanical vibration waves along the concrete structure, collect dynamic response data of the internal structure of the concrete, and preliminarily determine the stress abnormality area, including: Arrange several controllable vibration exciters at key nodes of force transmission; According to the structural characteristics, the frequency range, wavelength and amplitude of the excitation wave are set, and the vibration wave is emitted according to the set frequency period to obtain the response data of the concrete structure to the excitation wave; Record the vibration wave propagation characteristics in concrete to form vibration wave propagation data; By analyzing the abnormal wave characteristics of the vibration wave in the propagation path, the stress abnormality area can be preliminarily identified.

3. The non-destructive detection method for internal defects and compactness of concrete according to claim 1, characterized in that: According to the initially determined stress abnormal area, an intelligent sensor array is deployed to monitor the physical state data of the local area and generate in-depth monitoring data, including: Obtain displacement and deformation data of a local area and generate a three-dimensional deformation model; Collecting and analyzing acceleration and velocity data to obtain the dynamic response of the local area under different load conditions, and generating a mechanical response characteristic diagram of the local area; Based on the mechanical response characteristic diagram, the stress distribution and strain changes are monitored in real time to generate a stress-strain curve of the local area; According to the stress-strain curve, the vibration frequency and spectrum changes are analyzed to obtain the vibration spectrum characteristics of the local area, and the depth monitoring data is generated.

4. The non-destructive detection method for internal defects and compactness of concrete according to claim 3 is characterized in that: Acquiring the vibration spectrum characteristics of the local area includes: Monitoring the vibration frequency change of the local area and constructing a vibration spectrum database of the local area; Analyze the vibration frequency changes based on spectrum analysis technology to obtain the long-term trend of frequency characteristics; The vibration frequency domain characteristics are correlated with the displacement, acceleration and stress-strain characteristics to generate the vibration spectrum characteristics of the local area.

5. The non-destructive detection method for internal defects and compactness of concrete according to claim 1, characterized in that: The acoustic waves and vibration waves are emitted synchronously in the local area, the propagation path and phase change are monitored, the internal defects and micro-deformation of the slow concrete are identified, and the propagation characteristic data are obtained, including: Monitor the propagation path of sound and vibration waves in concrete, and locate abnormal density areas inside the concrete by identifying deflection and attenuation in the path; Record the phase changes of sound waves and vibration waves, analyze the phase lag or jump during the propagation process, identify micro-deformations and discontinuities in concrete structures, and confirm the specific location and characteristics of internal defects; Measure and compare the propagation speed and attenuation characteristics of sound waves and vibration waves on different paths to further determine the specific type of defects and density changes; The frequency response characteristics of sound waves and vibration waves are analyzed, and the density characteristics of concrete are identified through spectrum changes, the stress concentration points are determined, and the defects and density distribution of local areas are generated.

6. The non-destructive detection method for internal defects and compactness of concrete according to claim 1, characterized in that: The dynamic response data, physical state data and propagation characteristic data are integrated and input into the three-dimensional finite element model to reconstruct the distribution state of concrete density, and simulate the dynamic response under different load conditions to obtain the density test results, including: Integrate and preprocess dynamic response data, physical state data, and propagation characteristic data; Construct a three-dimensional finite element model based on actual structural parameters and assign material properties; Applying different load conditions in the three-dimensional finite element model to simulate various mechanical states that may be encountered in actual use and analyze the effect of concrete density on performance; Finite element analysis is performed to obtain the stress, strain and displacement distribution under different loads, identify the changes in concrete density, and ultimately generate density test results and distribution diagrams.

7. The non-destructive detection method for internal defects and compactness of concrete according to claim 6, characterized in that: The finite element analysis method adopts linear static analysis and dynamic time history analysis.

8. The non-destructive detection method for internal defects and compactness of concrete according to claim 1, characterized in that: After the dynamic response analysis, post-processing technology is used to further optimize the analysis results, including: Performing sensitivity analysis on the parameters of the three-dimensional finite element analysis model to identify the parameters that have the greatest impact on the concrete density test result; Based on the uncertainty of input data, perform probabilistic analysis to evaluate the structural performance and safety under different conditions; According to the results of sensitivity analysis and uncertainty analysis, the analysis results are optimized and adjusted, and the revised compactness test results are obtained.

9. A non-destructive detection system for internal defects and compactness of concrete, characterized in that: The system comprises: The abnormal area determination module arranges several controllable vibration exciters to continuously emit mechanical vibration waves along the concrete structure, collects dynamic response data of the internal structure of the concrete, and preliminarily determines the stress abnormal area; A depth data acquisition module deploys an intelligent sensor array according to the initially determined stress abnormality area, monitors the physical state data of the local area, and generates depth monitoring data; A propagation data acquisition module is used to synchronously emit sound waves and vibration waves in the local area, monitor the propagation path and phase changes, identify internal defects and micro-deformations of slow-setting soil, and acquire propagation characteristic data; The detection result acquisition module integrates the dynamic response data, physical state data and propagation characteristic data into a three-dimensional finite element model, reconstructs the distribution state of concrete density, and simulates the dynamic response under different load conditions to obtain the density detection result.

10. The non-destructive detection system for internal defects and compactness of concrete according to claim 9, characterized in that: The abnormal area determination module comprises: A sensor arrangement unit is provided to arrange a number of controllable vibration exciters at key force transmission nodes; The response data acquisition unit sets the frequency range, wavelength and amplitude of the excitation wave according to the structural characteristics, and emits the vibration wave according to the set frequency period to obtain the response data of the concrete structure to the excitation wave; A propagation data forming unit records the wave propagation characteristics of the vibration wave in the concrete to form vibration wave propagation data; The stress anomaly preliminary identification unit preliminarily identifies the stress anomaly area by analyzing the abnormal wave characteristics of the vibration wave in the propagation path.

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