Ultra-high performance concrete crack resistance testing system and dynamic monitoring method thereof

Abstract

The invention relates to the technical field of anti-cracking performance testing, in particular to an ultra-high performance concrete anti-cracking performance testing system and a dynamic monitoring method thereof.The system comprises a dynamic stress field simulation feedback module used for sensing three-dimensional distribution of a micro stress field in concrete in real time by constructing a flexible loading array to obtain dynamic stress field data; the multi-scale damage evolution tracking module is used for deploying a high-resolution acoustic emission network and a distributed optical fiber sensing layer based on dynamic stress field data of the flexible loading array to form a full-scale evolution graph from microdefects to macroscopic cracks; and the intelligent healing efficiency evaluation module obtains stress redistribution data and a full-scale evolution graph, and a repairing medium containing a tracer agent is injected into a preset crack path. According to the method, the whole process of crack resistance of the material from defect initiation to repair and regeneration can be quantitatively evaluated; and finally, outputting a dynamic evolution rule of the crack resistance and enhancing potential evaluation.

Description

Technical Field

[0001] The present invention relates to the technical field of crack resistance testing, and in particular to an ultra-high performance concrete crack resistance testing system and a dynamic monitoring method thereof. Background Art

[0002] As modern buildings develop towards high-rise, large-span and complex structures, ultra-high performance concrete (UHPC) has become a key material due to its excellent mechanical properties and durability. However, UHPC is prone to microcracks during the hardening process due to factors such as shrinkage and temperature stress. These cracks are difficult to detect in the early stages but will significantly affect the long-term durability of the structure. Traditional crack resistance tests mostly rely on static loading or manual observation, which cannot capture the dynamic evolution of cracks in real time, and it is even more difficult to quantify the coupled effects of environmental factors (such as temperature, humidity, and load fluctuations) on cracking behavior. Therefore, the development of a full-cycle testing system that can dynamically monitor the initiation, expansion, and healing of UHPC cracks is of great significance to ensuring the safety of major projects.

[0003] Prior art one, a Chinese patent application numbered 201910614996.8, discloses an apparatus and method for testing the crack resistance of ultra-high performance concrete. The apparatus comprises a base plate, and front, rear, left, and right side plates enclosed therein. The base plate is evenly spaced with a plurality of crack-inducing structures, each with a fixed structure at either end. The crack-inducing structures are steel wire ropes attached to the upper surface of the base plate, with the length of the steel wire ropes parallel to the left and right side plates. One end of the steel wire ropes extends through the front side plate, and the other end extends through the rear side plate. While this method improves the cracking sensitivity of ultra-high performance concrete, resolving the problem of the traditional concrete flat plate restraint method failing to cause ultra-high performance concrete to crack, and providing more accurate and reliable test results, it relies on the mechanical restraint of the pre-set steel wire ropes, resulting in only macroscopic cracking results.

[0004] Prior art two, Chinese patent application number 202310057916.X, discloses a method for testing the shear resistance of ultra-high performance concrete, comprising: preparing a prefabricated crack test block; providing two cracks in the vertical section of the prefabricated crack test block, the cracks including a first crack and a second crack, the first crack connecting to the second crack, and forming an obtuse angle at the connection, the two second cracks being parallel to the vertical section of the prefabricated crack test block and located on the same horizontal line, the free ends of the two first cracks being respectively located on the surface of the prefabricated crack test block, the two first cracks being parallel, and the first cracks forming an angle α with the height direction of the prefabricated crack test block; placing the prefabricated crack test block on a universal testing machine for a shear resistance test, obtaining the maximum failure load of the prefabricated crack test block; and calculating the shear strength based on the maximum failure load. Although the use of prefabricated crack test blocks is simple to prepare, easy to operate, and cost-effective; the concrete shear test is conducted by tension or compression, converting the axial force into shear force, thereby avoiding test errors caused by insufficient double-sided shear force; however, the shear test requires artificial prefabrication of cracks at specific angles, which destroys the original structure of the material.

[0005] Prior art three, Chinese patent application number 202311867862.X discloses a method for ex-situ fracture analysis and sample preparation of ultra-high performance concrete materials, including the following steps: cutting and sampling, obtaining microscopic SEM analysis samples and macroscopic optical analysis samples, and terminating hydration, mounting, grinding and polishing, using a stereo microscope to observe the interface and collect images along the crack of the optical analysis sample to be tested, and using a scanning electron microscope to analyze the interface of the SEM analysis sample; finally, combining the optical image with the microscopic data to analyze the internal weak areas and crack fracture direction of the ultra-high performance concrete when it is under stress. The present invention can be used for ex-situ analysis of crack initiation and propagation paths of ultra-high performance concrete during testing, including experiments such as compression testing, tensile testing, and flexural testing. Although ex-situ analysis of microscopic crack propagation paths of ultra-high performance concrete materials can be achieved, it is of great significance for understanding the process of internal crack initiation, propagation, and even failure of ultra-high performance concrete under stress; however, ex-situ analysis requires terminating hydration and destroying the sample.

[0006] Currently, existing technologies 1, 2, and 3 suffer from traditional methods that fail to address the full-scale dynamic monitoring requirements for ultra-high performance concrete, from nano-defects to macro-cracks. They lack the ability to actively sense and adaptively control microcrack initiation, lack a multi-parameter quantification system for repair effectiveness in crack resistance assessment, and off-site analysis methods destroy the material's native structure and fail to restore the true stress environment. Therefore, the present invention provides an ultra-high performance concrete crack resistance testing system and a dynamic monitoring method. Summary of the Invention

[0007] In order to achieve the above object, the present invention adopts the following technical solutions:

[0008] In one aspect of the present invention, a system for testing the crack resistance of ultra-high performance concrete is provided, comprising:

[0009] The dynamic stress field simulation feedback module is used to construct a flexible loading array to sense the three-dimensional distribution of the microstress field inside the concrete in real time and obtain dynamic stress field data. The flexible loading array dynamically generates non-uniform loading paths. When microcracks initiate, the loading pressure of adjacent loading units automatically decays, and the stress redistribution data is transmitted to the central analysis node.

[0010] A multi-scale damage evolution tracking module is used to deploy a high-resolution acoustic emission network and distributed fiber optic sensing layer based on dynamic stress field data from a flexible loading array, forming a full-scale evolution map from microscopic defects to macroscopic cracking;

[0011] The intelligent healing effectiveness evaluation module is used to obtain stress redistribution data and full-scale evolution maps, and inject a repair medium containing tracers along the preset crack path. During the evaluation phase, the acoustic emission array is reused to monitor the interface bonding state, and the loading array is used to apply alternating stress to quantify the self-healing effect.

[0012] In an optional embodiment, the dynamic stress field simulation feedback module includes:

[0013] The material heterogeneity mapping submodule is used to obtain the internal density field distribution data of the ultra-high performance concrete specimen through initial scanning. The heterogeneity of the ultra-high performance concrete specimen is quantified as an elastic modulus gradient matrix in three-dimensional space, which serves as the reference input for generating the loading path, so that the stress application matches the inherent properties of the material.

[0014] The adaptive load distribution submodule is used to calculate the local load weights of each unit of the flexible loading array after receiving the elastic modulus gradient data from the elastic modulus gradient matrix. A higher proportion of pressure increment is allocated to high-density areas, while the initial load intensity is reduced in low-density areas. This forms an initial stress field coupled with the material microstructure.

[0015] The real-time crack response adjustment submodule is used to dynamically modify the loading path based on stress redistribution data when the microcrack initiation signal is captured by the central analysis node. A conical pressure attenuation zone is established along the crack tip along its propagation direction, with adjacent loading units reducing the load according to the distance gradient. Simultaneously, the lateral pressure in the areas on both sides of the crack is enhanced to form a closed stress loop that inhibits crack propagation.

[0016] In an optional implementation, the adaptive load distribution submodule includes:

[0017] The elastic modulus gradient data analysis unit is used to extract the elastic modulus eigenvalue of each loading unit at the corresponding spatial position based on the elastic modulus gradient matrix. The elastic modulus eigenvalue reflects the material stiffness properties of the area where the unit is located. The benchmark load intensity is set, and the elastic modulus eigenvalue of each unit is normalized with the benchmark value. The normalized result is used as the basic weight coefficient of the unit.

[0018] The neighborhood coupling effect compensation unit is used to establish a three-dimensional influence domain with the current unit as the center, perform weighted average calculation on the elastic modulus eigenvalues of all units in the influence domain, and obtain the coupling correction coefficient to compensate for the stress concentration effect caused by local material mutation;

[0019] The weighted synthesis calculation unit is used to multiply the basic weight coefficient and the coupling correction coefficient to generate the final local load weight of each unit; the weight value determines the pressure output intensity of the corresponding unit in the loading array, and the initial stress field formed maintains spatial matching with the material microstructure.

[0020] In an optional embodiment, the elastic modulus gradient data parsing unit includes:

[0021] The reference load strength setting subunit is used to determine a standard reference value as the reference load strength based on the preset global load requirement, corresponding to the median eigenvalue in the material elastic modulus gradient matrix, as a reference benchmark for normalization processing;

[0022] The eigenvalue relative ratio calculation subunit is used to calculate the ratio of the elastic modulus eigenvalue corresponding to each loading unit to the benchmark load strength. The ratio reflects the degree of deviation of the material stiffness at a specific location from the system benchmark. The ratio is processed through a piecewise function, and a progressive compression mapping is used for the eigenvalue area above the benchmark value, and an expansion mapping is used for the area below the benchmark value.

[0023] The boundary condition constraint subunit is used to impose preset upper and lower thresholds to constrain the normalized results within the valid operating range; feature values exceeding the threshold are treated as boundary values.

[0024] In an optional implementation, the neighborhood coupling effect compensation unit includes:

[0025] The three-dimensional influence domain construction sub-unit is used to establish a spherical or cubic influence domain centered on the spatial coordinates of the current unit according to preset geometric parameters, and determine the range of neighboring units that need to participate in the calculation. The influence domain radius is dynamically adjusted according to the rate of change of the material property gradient. A distance decay weight is assigned to each unit in the influence domain, with the center unit having the highest weight and decreasing exponentially with increasing spatial distance. The slope of the weight distribution curve is dynamically adjusted according to the basic weight coefficient output by the elastic modulus gradient data analysis unit, and areas with lower basic weights adopt a steeper decay curve.

[0026] The eigenvalue aggregation calculation unit is used to multiply the elastic modulus eigenvalues of all units in the influence domain by the corresponding spatial weights, add them up, and then divide them by the sum of the weights to obtain the weighted average eigenvalue;

[0027] The coupling strength quantification unit uses the ratio of the original eigenvalue of the current unit to the weighted average eigenvalue as the base value of the coupling correction coefficient. When the ratio is greater than 1, it indicates that there is a sudden change in material stiffness in the area, requiring stress concentration compensation. A ratio equal to 1 maintains neutral correction. An S-shaped curve transformation is applied to the base value of the basic coupling coefficient, converting the linear ratio into a smooth transition correction coefficient. The inflection point of the transformation curve is determined by the standard deviation of the eigenvalues within the influence domain, with a smoother transition characteristic adopted in areas with high dispersion.

[0028] In an optional embodiment, the multi-scale damage evolution tracking module includes:

[0029] The 3D stress field benchmark construction submodule is used to establish an initial 3D stress field model based on the non-uniform loading path data output by the dynamic stress field simulation feedback module. The unit pressure value of the flexible loading array is used as a node parameter to quantify the internal density difference of the ultra-high performance concrete as a stress field gradient distribution.

[0030] The nanoscale event capture submodule is used to receive elastic wave signals triggered by stress redistribution through a high-resolution acoustic emission network and extract the characteristic frequencies of crack propagation through time-frequency analysis. The characteristic frequency components are mapped to the loading array coordinates to form spatial positioning data of nanoscale defects, and the timestamp is synchronized with the dynamic stress field data. The strain mutation trajectory detected by the distributed fiber optic sensing layer is automatically matched with the acoustic emission event in the time-space coordinate system. When the strain growth rate exceeds a preset threshold and is accompanied by a high-frequency acoustic emission signal, it is determined to be a valid crack propagation event, triggering the activation of the infrared thermal imaging system.

[0031] The energy dissipation visualization submodule is used to capture the abnormal thermal radiation area at the crack tip with the infrared thermal imaging system. The heat flux density distribution, acoustic emission signal intensity, and optical fiber strain value form a three-dimensional thermal-mechanical coupling matrix, revealing the energy conversion path during crack propagation and supplementing the dissipation characteristics that cannot be reflected by mechanical parameters. The nanoscale acoustic emission positioning points, millimeter-level strain trajectories, and thermal radiation fields are spatially gridded, and the stress field gradient is used as the weighting coefficient for data fusion. In the fused three-dimensional map, each voxel contains three types of parameters: characteristic frequency, strain increment, and heat flux density, realizing full-scale characterization from dislocation motion to macroscopic cracks.

[0032] In an optional embodiment, the nanoscale event capture submodule includes:

[0033] The elastic wave characteristic decoupling unit is used to extract non-uniform loading path data from the dynamic stress field output, driving the high-density sensor array into active detection mode. When microstructural reorganization occurs within ultra-high performance concrete, elastic waves are released with key characteristics: a fundamental frequency component determined by the dislocation motion rate and a harmonic group modulated by the defect geometry. A joint time-frequency domain analysis is used to extract a set of characteristic frequency bands positively correlated with the local stress gradient from the original waveform.

[0034] The time-space reference alignment unit is used to input the characteristic frequency set obtained by decoupling into the loading coordinate system converter. Using the pre-calibrated pressure-wave velocity transfer function of the flexible loading array, the time domain signal is converted into a spatial position function. Each detection event is assigned four-dimensional coordinate attributes: the physical position on the X / Y / Z axes is determined by inverting the pressure distribution of the array elements, and the time dimension is synchronized by the dynamic stress field simulation clock.

[0035] The strain-acoustic emission coupling verification unit is used to perform triple verification of the strain field change rate matrix generated in real time by the distributed optical fiber sensing layer and the spatial coordinates of the acoustic emission events;

[0036] The cross-scale data fusion unit is used to pass the verified event data stream into the grid processor, using the stress field gradient distribution as the adaptive interpolation weight to unify the discrete acoustic emission positioning points and the continuous strain field trajectory into a standard spatial grid. The three-dimensional coordinates of the nanoscale event are automatically corrected to the position that best matches the millimeter-level strain trajectory, while retaining the original characteristic frequency spectrum as the basis for damage pattern recognition.

[0037] In an optional embodiment, the triple verification of the strain-acoustic emission coupling verification unit includes: position coincidence verification, verifying that the spatial deviation between the center point of the strain mutation and the acoustic emission positioning point is less than a preset tolerance; timing correlation verification, confirming that the time difference between the strain start time and the acoustic emission trigger time is within the theoretical delay range of stress wave propagation; energy conservation verification, ensuring that the strain energy release and the integrated energy of the acoustic emission signal satisfy the material constitutive relationship.

[0038] In an optional embodiment, the intelligent healing efficacy evaluation module includes:

[0039] The damage path feature extraction submodule is used to extract the three-dimensional geometric features of the preset crack path based on the full-scale evolution map, including the main crack branching angle, the spatial distribution density of micro-defect clusters, and the local stress concentration factor calibrated by the dynamic stress field simulation feedback module;

[0040] The vibration frequency band matching submodule is used to input the crack path characteristics into the frequency band optimizer to generate a driving spectrum adapted to the rheological characteristics of the repair medium;

[0041] The gradient driving field construction submodule is used to form a mechanical vibration field with a temporal and spatial gradient inside the concrete after the piezoelectric driver array receives the optimized spectrum.

[0042] Another aspect of the present invention provides a dynamic monitoring method for the crack resistance test of ultra-high performance concrete, the dynamic monitoring method comprising:

[0043] Dynamic stress field-crack extension collaborative feedback control;

[0044] Multi-scale damage entropy increase criteria and early warning triggering;

[0045] Co-optimization of repair medium migration and mechanical properties.

[0046] This invention implements a full-cycle closed-loop evaluation system for the crack resistance of ultra-high performance concrete. It utilizes a dynamic stress field regulation and damage synergistic triggering mechanism. The flexible loading array actively induces crack initiation through a non-uniform stress field. Its dynamic adjustment capability ensures that the crack propagation process is controlled, while stress redistribution data directly drives the targeted activation of the multi-scale monitoring module. The coupling of active intervention and passive response breaks through the observation limitations of damage randomness under traditional static loading. Cross-scale damage information fusion and energy dissipation visualization, with spatiotemporal alignment of acoustic emission network and fiber optic sensing layer data, correlates nanoscale crack nucleation and macroscopic strain field evolution as a continuous process. Infrared thermal imaging captures energy dissipation paths, supplementing the mapping relationship between mechanical signals and thermodynamic behavior to form a three-dimensional energy criterion for crack propagation. A quantitative verification closed loop for repair-performance linkage achieves dynamic detection of interface bonding efficiency based on the precise positioning of the preceding damage, the directional delivery of the repair medium, and the synergistic effect of the alternating stress field. By comparing the correlation between stress field uniformity and acoustic emission attenuation before and after repair, a direct quantitative model for improving the material's self-healing ability and crack resistance is established. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0048] Figure 1 This is a block diagram of the ultra-high performance concrete crack resistance testing system provided in Example 1 of the present invention;

[0049] Figure 2 This is a block diagram of the dynamic stress field simulation feedback module provided in Example 2 of the present invention;

[0050] Figure 3 This is a block diagram of the multi-scale damage evolution tracking module provided in Example 6 of the present invention;

[0051] Figure 4This is a block diagram of the intelligent healing effectiveness evaluation module provided in Example 9 of the present invention;

[0052] Figure 5 This is a flow chart of a method for dynamically monitoring the crack resistance of ultra-high performance concrete provided in Example 10 of the present invention;

[0053] Figure 6 A block diagram of the electronic device provided by the present invention;

[0054] Figure 7 A block diagram of a computer-readable storage medium provided by the present invention. DETAILED DESCRIPTION

[0055] The technical solutions in the embodiments of the present invention will be described below with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0056] In the following, the terms "first," "second," etc., are used for descriptive convenience only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature identified with "first," "second," etc., may explicitly or implicitly include one or more of such features. In the description of the present invention, unless otherwise specified, "plurality" means two or more.

[0057] In the present invention, unless otherwise clearly specified and limited, the term "connection" should be understood in a broad sense. For example, "connection" can be a fixed mechanical connection, a detachable mechanical connection, or an integrated one; or, "connection" can be a direct connection or an indirect connection through an intermediate medium. In addition, unless otherwise clearly specified and limited, the term "coupling" should be understood in a broad sense. For example, "coupling" can be a direct electrical connection, such as physical contact and electrical conduction between two components, or it can be understood as the electrical connection between different components in a circuit structure through a physical line that can transmit electrical signals, such as printed circuit board (PCB) copper foil or wire, so as to transmit electrical signals; or, "coupling" can be an indirect electrical connection between two components through an intermediate medium; or, "coupling" can be an electrical connection between two components in an airless / non-contact manner, such as electrical connection between two components using capacitive coupling to transmit electrical signals.

[0058] In an embodiment of the present invention, directional terms such as "up", "down", "left" and "right" may be defined including but not limited to the orientation relative to the schematic placement of the components in the drawings. It should be understood that these directional terms may be relative concepts, which are used for relative description and clarification, and may change accordingly according to changes in the orientation of the components in the drawings.

[0059] Example 1:

[0060] like Figure 1 As shown, an embodiment of the present invention provides an ultra-high performance concrete crack resistance testing system, comprising:

[0061] The dynamic stress field simulation feedback module is used to construct a flexible loading array to sense the three-dimensional distribution of microstress fields within concrete in real time and obtain dynamic stress field data. Each loading unit in the flexible loading array has the ability to adjust itself, dynamically generating a non-uniform loading path based on the material density differences obtained from the initial scan. When microcracks initiate, the loading pressure of adjacent loading units automatically decays, and stress redistribution data is transmitted to the central analysis node to provide a dynamic benchmark.

[0062] The multi-scale damage evolution tracking module is used to deploy a high-resolution acoustic emission network and a distributed fiber optic sensing layer based on dynamic stress field data from a flexible loading array. The high-resolution acoustic emission network captures the characteristic frequencies of nanoscale crack propagation, while the distributed fiber optic sensing layer plots millimeter-scale strain trajectories. The data from the high-resolution acoustic emission network and the distributed fiber optic sensing layer are automatically aligned in the spatiotemporal coordinate system. When the high-frequency acoustic emission signal is detected coupling with a specific strain pattern, the infrared thermal imaging system is automatically triggered to record the energy dissipation process, forming a full-scale evolution map from microscopic defects to macroscopic cracking.

[0063] The intelligent healing efficiency evaluation module is used to obtain stress redistribution data and full-scale evolution maps, and inject a repair medium containing a tracer into the preset crack path; a piezoelectric driver generates mechanical vibrations in a specific frequency band to promote the directional migration of the repair medium to the damaged area; during the evaluation phase, the acoustic emission array is reused to monitor the interface bonding state, and the loading array is used to apply alternating stress. By comparing parameters such as the stress field uniformity before and after repair and the acoustic emission signal attenuation rate caused by crack closure, the self-healing effect is quantified.

[0064] In the aforementioned embodiments, this embodiment implements a full-cycle closed-loop evaluation system for the crack resistance of ultra-high performance concrete. Dynamic stress field regulation and damage synergistic triggering mechanisms are employed. A flexible loading array actively induces crack initiation through a non-uniform stress field. Its dynamic adjustment capability ensures controlled crack propagation, while stress redistribution data directly drives the targeted activation of a multi-scale monitoring module. The coupling of active intervention and passive response overcomes the limitations of traditional observations of damage randomness under static loading. Cross-scale damage information fusion and energy dissipation visualization are implemented. The spatiotemporal alignment of acoustic emission network and fiber optic sensing layer data links nanoscale crack nucleation and macroscopic strain field evolution as a continuous process. Infrared thermal imaging captures energy dissipation paths, complementing the mapping between mechanical signals and thermodynamic behavior to form a three-dimensional energy criterion for crack propagation. A quantitative closed-loop verification system for repair-performance linkage is implemented. Based on the precise positioning of pre-process damage, the directional delivery of the repair medium, and the synergistic effect of the alternating stress field, dynamic monitoring of interfacial bonding efficiency is achieved. By comparing the correlation between stress field uniformity and acoustic emission attenuation before and after repair, a direct quantitative model for the material's self-healing ability and crack resistance improvement is established.

[0065] In summary, this embodiment achieves quantifiable evaluation of the material's crack resistance throughout the entire process, from defect initiation and expansion to repair and regeneration, through a closed-loop chain of controllable stress induction, cross-scale damage analysis, and intelligent repair verification. The data streams of each module form positive feedback, with stress field data optimizing damage monitoring accuracy, damage maps guiding repair targeting, and repair efficiency data feeding back into the stress field control strategy, ultimately outputting the dynamic evolution of crack resistance and an assessment of its enhancement potential.

[0066] Example 2:

[0067] like Figure 2 As shown, based on Example 1, the dynamic stress field simulation feedback module 1 provided by the embodiment of the present invention includes:

[0068] The material heterogeneity mapping submodule 11 is used to obtain the internal density field distribution data of the ultra-high performance concrete specimen through initial scanning, and quantify the heterogeneity of the ultra-high performance concrete specimen into an elastic modulus gradient matrix in three-dimensional space, which is used as the reference input for generating the loading path, so that the stress application matches the inherent properties of the material;

[0069] The adaptive load distribution submodule 12 is used for each unit of the flexible loading array to receive the elastic modulus gradient data of the elastic modulus gradient matrix and calculate the local load weight; a higher proportion of pressure increment is allocated to high-density areas, and the initial load intensity is correspondingly reduced in low-density areas, thereby forming an initial stress field coupled with the material microstructure;

[0070] The real-time crack response adjustment submodule 13 is used to dynamically modify the loading path according to the stress redistribution data when the microcrack initiation signal is captured by the central analysis node; with the crack tip as the origin, a conical pressure attenuation zone is established along its expansion direction, and adjacent loading units reduce the load according to the distance gradient; at the same time, the lateral pressure in the areas on both sides of the crack is enhanced to form a closed stress loop that inhibits crack expansion.

[0071] In the aforementioned embodiment, this embodiment achieves precise stress control and crack management in ultra-high performance concrete specimens during loading through the synergistic effect of three submodules. Specifically, this involves constructing a stress field tailored to material properties. The elastic modulus gradient matrix, obtained through the material heterogeneity mapping submodule, provides precise initial parameters for loading path generation, ensuring that the applied stress field matches the material's internal structural properties, avoiding the local stress mismatch that can occur with traditional uniform loading methods. A dynamically optimized load distribution mechanism, the adaptive load distribution submodule, uses material property data to achieve spatially differentiated load intensity distribution. High-density regions receive higher pressure increments, while low-density regions receive correspondingly lower load intensity, resulting in an initial stress field distribution that is consistent with the material's microstructural characteristics. Actively controlled crack development intervention, the real-time crack response regulation submodule dynamically modifies the loading path to establish a tapered pressure decay zone and closed stress loop immediately after crack initiation. This control mechanism allows the necessary crack development for material performance assessment while effectively controlling the crack propagation rate and direction.

[0072] In summary, the three submodules of this embodiment form a complete closed-loop control chain: from material property identification, initial stress field construction, to crack development regulation, precise stress management of ultra-high performance concrete specimens throughout the stress process is achieved; and controllable and repeatable testing conditions are provided for accurately evaluating the material's crack resistance.

[0073] Example 3:

[0074] Based on Example 2, the adaptive load distribution submodule 12 provided in this embodiment of the present invention includes:

[0075] The elastic modulus gradient data analysis unit 121 is used to extract the elastic modulus eigenvalue of each loading unit corresponding to the spatial position based on the elastic modulus gradient matrix. The elastic modulus eigenvalue reflects the material stiffness properties of the area where the unit is located; set the reference load intensity, normalize the elastic modulus eigenvalue of each unit with the reference value, and use the normalized result as the basic weight coefficient of the unit;

[0076] The neighborhood coupling effect compensation unit 122 is used to establish a three-dimensional influence domain with the current unit as the center, perform weighted average calculation on the elastic modulus eigenvalues of all units in the influence domain, and obtain a coupling correction coefficient to compensate for the stress concentration effect caused by local material mutation;

[0077] The weighted synthesis calculation unit 121 is used to multiply the basic weight coefficient and the coupling correction coefficient to generate the final local load weight of each unit; the weight value determines the pressure output intensity of the corresponding unit in the loading array, and the initial stress field formed maintains spatial matching with the material microstructure.

[0078] In the above-described embodiment, the precise matching of material properties and load intensity is achieved through processing by the elastic modulus gradient data analysis unit 121, which quantifies the material stiffness properties into operational weight coefficients, ensuring that the load distribution forms a direct correspondence with the inherent characteristics of the material. The stress concentration effect is actively suppressed, and the neighborhood coupling effect compensation unit 122 effectively identifies and compensates for mechanical anomalies in the material mutation area through three-dimensional influence domain calculation, avoiding local stress distortion. The spatial matching stress field is constructed, and the weighted synthesis calculation unit 123 integrates the output results of the first two units to generate a load distribution scheme that accurately reflects the material's microstructural characteristics and provides initial stress conditions that conform to the material's true state.

[0079] In summary, this embodiment forms a complete calculation chain from material parameter extraction to load scheme generation. Its output results directly determine the pressure output intensity of each unit in the loading array, ultimately achieving a stress field spatial distribution that matches the internal structural characteristics of the specimen.

[0080] Example 4:

[0081] On the basis of Example 3, the elastic modulus gradient data parsing unit 121 provided in this embodiment of the present invention includes:

[0082] The reference load intensity setting subunit 1211 is used to determine a standard reference value as a reference load intensity based on a preset global load requirement, corresponding to the median eigenvalue in the material elastic modulus gradient matrix, as a reference for normalization processing;

[0083] The eigenvalue relative ratio calculation subunit 1212 is used to calculate the ratio of the elastic modulus eigenvalue corresponding to each loading unit to the reference load strength. The ratio reflects the degree of deviation of the material stiffness at a specific location from the system reference. The ratio is processed using a piecewise function, and a progressive compression mapping is used for the eigenvalue region above the reference value, while an expansion mapping is used for the region below the reference value.

[0084] The boundary condition constraint subunit 1213 is used to impose preset upper and lower thresholds to constrain the normalization result within the valid operating range; feature values exceeding the threshold are processed as boundary values.

[0085] In the above embodiment, this embodiment realizes the standardization of the reference load, and the reference load strength setting subunit 1211 establishes a unified reference benchmark, so that the elastic modulus eigenvalues of different regions are comparable, providing a stable reference standard for normalization processing. The material stiffness difference is quantified, and the eigenvalue relative comparison calculation subunit 1212 performs a nonlinear mapping of the ratio of the elastic modulus eigenvalue to the reference value to ensure that the weight of the high stiffness area increases smoothly and the weight of the low stiffness area is adjusted appropriately to avoid the influence of extreme values on the system. The calculation stability control, boundary condition constraint subunit 1213 limits the value range of the normalization result to prevent abnormal data from interfering with the weight synthesis calculation and ensure that the system operates within a reasonable range.

[0086] In summary, this embodiment enables the elastic modulus gradient data parsing unit 121 to output stable and comparable basic weight coefficients, providing reliable input parameters for neighborhood coupling effect compensation and weight synthesis calculation.

[0087] Example 5:

[0088] On the basis of Example 3, the neighborhood coupling effect compensation unit 122 provided in this embodiment of the present invention includes:

[0089] The three-dimensional influence domain construction subunit 1221 is used to establish a spherical or cubic influence domain centered on the spatial coordinates of the current cell according to preset geometric parameters, and determine the range of adjacent cells that need to participate in the calculation. The influence domain radius is dynamically adjusted based on the rate of change of the material property gradient. A distance decay weight is assigned to each cell in the influence domain, with the center cell having the highest weight, which decreases exponentially with increasing spatial distance. The slope of the weight distribution curve is dynamically adjusted based on the basic weight coefficient output by the elastic modulus gradient data analysis unit, with regions with lower basic weights adopting a steeper decay curve.

[0090] The eigenvalue aggregation calculation unit 1222 is used to multiply the elastic modulus eigenvalues of all units in the influence domain by the corresponding spatial weights, add them together, and then divide them by the total weight to obtain a weighted average eigenvalue;

[0091] The coupling strength quantification unit 1223 uses the ratio of the original eigenvalue of the current unit to the weighted average eigenvalue as the base value of the coupling correction coefficient. When the ratio is greater than 1, it indicates that there is a sudden change in material stiffness in the area, requiring stress concentration compensation. When the ratio is equal to 1, a neutral correction is maintained. An S-shaped curve transformation is applied to the base value of the basic coupling coefficient to convert the linear ratio into a smooth transition correction coefficient. The inflection point of the transformation curve is determined by the standard deviation of the eigenvalues within the influence domain, and regions with high dispersion adopt a smoother transition characteristic.

[0092] In the above embodiment, the local mechanical environment modeling of this embodiment, the three-dimensional influence domain construction sub-unit 1221 establishes a calculation domain containing spatial attenuation characteristics, and accurately defines the range of adjacent units participating in the coupling calculation and their contribution through dynamically adjusted influence domain radius and weight distribution curve. Regional feature fusion, the eigenvalue aggregation calculation unit 1222 weightedly integrates the elastic modulus eigenvalues of each unit in the influence domain to generate an average eigenvalue reflecting the overall stiffness characteristics of the local area, eliminating the random interference of isolated data points. Stress mutation buffering, the coupling strength quantification unit 1223 quantifies the difference between local characteristics and regional average characteristics into a smooth transition correction coefficient through ratio analysis and nonlinear transformation, effectively suppressing stress concentration at the material interface.

[0093] In summary, this embodiment forms a continuous calculation chain: first, the calculation range is defined and weights are assigned, then the regional characteristic data is integrated, and finally, correction parameters reflecting the continuity of material stiffness are generated; this ensures that when distributing loads, both the unit's own characteristics and the mechanical coordination of adjacent areas are taken into account, providing a spatially continuous correction benchmark for weighted synthesis calculations.

[0094] Example 6:

[0095] like Figure 3 As shown, based on Example 1, the multi-scale damage evolution tracking module 2 provided in this embodiment of the present invention includes:

[0096] The three-dimensional stress field benchmark construction submodule 21 is used to establish an initial three-dimensional stress field model based on the non-uniform loading path data output by the dynamic stress field simulation feedback module; the unit pressure value of the flexible loading array is used as a node parameter to quantify the internal density difference of the ultra-high performance concrete as a stress field gradient distribution;

[0097] The nanoscale event capture submodule 22 is used to receive elastic wave signals triggered by stress redistribution through a high-resolution acoustic emission network and extract the characteristic frequency of crack propagation through time-frequency analysis. The characteristic frequency components are mapped to the loading array coordinates to form spatial positioning data of nanoscale defects, and the timestamp is synchronized with the dynamic stress field data. The strain mutation trajectory detected by the distributed optical fiber sensing layer is automatically matched with the acoustic emission event in the time-space coordinate system. When the strain growth rate exceeds a preset threshold and is accompanied by a high-frequency acoustic emission signal, it is determined to be a valid crack propagation event, triggering the activation of the infrared thermal imaging system.

[0098] The energy dissipation visualization submodule 23 is used to capture the abnormal thermal radiation area at the crack tip with the infrared thermal imaging system. The heat flux density distribution, acoustic emission signal intensity, and optical fiber strain value form a three-dimensional thermal-mechanical coupling matrix, revealing the energy conversion path during crack propagation and supplementing the dissipation characteristics that cannot be reflected by mechanical parameters. The nanoscale acoustic emission positioning points, millimeter-level strain trajectories, and thermal radiation fields are spatially gridded, and the stress field gradient is used as the weighting coefficient for data fusion. In the fused three-dimensional map, each voxel contains three types of parameters: characteristic frequency, strain increment, and heat flux density, realizing full-scale characterization from dislocation motion to macroscopic cracks.

[0099] In the aforementioned embodiment, this embodiment uses a gradient stress field model established by the 3D stress field benchmark construction submodule to form a spatial mapping relationship with the acoustic emission positioning data from the nanoscale event capture submodule, enabling the visualization of the stress transfer path within the material, from nanoscale dislocations to macroscopic cracks. The stress field gradient serves as a weighting factor for data fusion, ensuring the physical consistency of damage representation at different scales. Continuous strain monitoring (millimeter-scale) using distributed optical fibers and discrete acoustic emission events (nanometer-scale) are automatically matched using a unified spatiotemporal coordinate system. Combined with transient thermal radiation capture using infrared thermal imaging, this constitutes a three-in-one damage verification system: stress wave, mechanical strain, and thermal radiation. This coupling mechanism improves the temporal resolution of material damage evolution to the microsecond level, and the spatial resolution spans six orders of magnitude. The energy dissipation visualization submodule establishes a thermal-mechanical coupling matrix that quantifies the efficiency of converting mechanical energy to thermal energy during crack propagation. This matrix, updated synchronously with the dynamic stress field data, identifies three typical dissipation modes: elastic wave radiation dissipation (acoustic emission signals), plastic work and heat dissipation (thermal radiation anomaly zones), and interfacial friction dissipation (strain mutation trajectories).

[0100] Example 7:

[0101] Based on Example 6, the nanoscale event capture submodule 22 provided in this embodiment of the present invention includes:

[0102] Elastic wave feature decoupling unit 221 is used to extract non-uniform loading path data from the dynamic stress field output, driving the high-density sensor array into active detection mode. When microstructural reorganization occurs within ultra-high performance concrete, elastic waves are released with key features: a fundamental frequency component determined by the dislocation motion rate and a harmonic group modulated by the defect geometry. A set of characteristic frequency bands positively correlated with the local stress gradient is extracted from the original waveform through a joint analysis in the time and frequency domains.

[0103] The time-space reference alignment unit 222 is used to input the characteristic frequency set obtained by decoupling into the loading coordinate system converter. It uses the pressure-wave velocity transfer function pre-calibrated by the flexible loading array to convert the time domain signal into a spatial position function. Each detection event is assigned a four-dimensional coordinate attribute: the physical position of the X / Y / Z axis is determined by the inversion of the pressure distribution of the array unit, and the time dimension is synchronized by the dynamic stress field simulation clock.

[0104] The strain-acoustic emission coupling verification unit 223 is used to perform a triple check on the strain field change rate matrix generated in real time by the distributed optical fiber sensing layer and the spatial coordinates of the acoustic emission event: position coincidence check to verify that the spatial deviation between the center point of the strain mutation and the acoustic emission positioning point is less than the preset tolerance; timing correlation check to confirm that the time difference between the strain start time and the acoustic emission trigger time is within the theoretical delay range of stress wave propagation; energy conservation check to ensure that the strain energy release and the integrated energy of the acoustic emission signal satisfy the material constitutive relationship;

[0105] The cross-scale data fusion unit 224 is used to pass the verified event data stream into the grid processor, use the stress field gradient distribution as the adaptive interpolation weight, and unify the discrete acoustic emission positioning points and the continuous strain field trajectory into a standard spatial grid; the three-dimensional coordinates of the nanometer-level event are automatically corrected to the position that best matches the millimeter-level strain trajectory, while retaining the original characteristic frequency spectrum as the basis for damage pattern recognition.

[0106] In the above-mentioned embodiment, the frequency domain features extracted by the elastic wave feature decoupling unit and the coordinate data converted by the spatiotemporal reference alignment unit constitute the initial event localization framework. The strain-acoustic emission coupling verification unit uses a triple verification mechanism (position, timing, and energy) to ensure that the physical coordinates of nanoscale defects strictly match the mechanical response, eliminating the risk of misjudgment of a single sensing modality. The cross-scale data fusion unit uses stress field gradients as weights to adaptively grid-align discrete acoustic emission positioning points (nanometer resolution) with the continuous strain field of the distributed optical fiber (millimeter coverage). This automatically corrects the coordinates of the microscopic defect to the position that best matches the macroscopic strain mutation trajectory, achieving physically consistent fusion of observation data at different scales. The final output of four-dimensional event data (spatial coordinates + time stamp) retains the original characteristic frequency spectrum as the damage mode fingerprint, while integrating the strain field verification results and stress field gradient weights to form a traceable damage evolution chain: from the initial frequency domain characteristics of dislocation motion, to the evidence of association with the macroscopic strain mutation, and finally to the energy dissipation path in the grid space. Through a progressive process combining a triple-check mechanism and adaptive grid fusion, three error sources are effectively suppressed: positioning bias due to limited sensor spatial resolution, time delay errors caused by uncertainty in the elastic wave propagation path, and energy calculation mismatches due to dimensional differences in multimodal sensor data. A spatiotemporal reference alignment unit utilizes dynamic stress field clock synchronization to ensure strict correspondence between acoustic emission events and loading histories. Strain-acoustic emission coupling verification results are fed back to the elastic wave feature decoupling unit in real time, dynamically adjusting the parameters of the feature frequency band extraction algorithm, forming a closed-loop optimization mechanism for enhancing damage sensitivity.

[0107] Example 8:

[0108] Based on Example 7, the cross-scale data fusion unit 224 provided in this embodiment of the present invention includes:

[0109] The initial spatial mapping establishment subunit 2241 is used to establish a rigid mapping relationship between the acoustic emission positioning point and the physical position of the flexible loading array based on the original four-dimensional coordinate data output by the time-space reference alignment unit. The spatial coordinates of each nanoscale event are directly determined by inverting the pressure distribution of the array unit to form an initial positioning grid.

[0110] The strain field constraint loading subunit 2242 is used to generate a strain gradient distribution map with millimeter-level resolution based on the real-time strain field change rate matrix provided by the distributed optical fiber sensing layer. This map is spatially superimposed with the initial positioning grid to extract the local strain field feature vector centered at the acoustic emission point and with a radius equal to a preset matching threshold.

[0111] Multi-parameter correlation matching subunit 2243 is used to jointly analyze the characteristic frequency spectrum and strain field characteristic vector of the acoustic emission event in the local area, perform power spectrum density correlation test on the amplitude of the fundamental frequency component and the strain change rate, verify the spatial consistency of the harmonic group distribution pattern and the strain gradient direction, and perform time domain integral matching on the event duration and the strain accumulation rate;

[0112] The stress field weighted optimization subunit 2244 uses the stress gradient distribution provided by the 3D stress field benchmark construction submodule as optimization weights to construct an objective function with three types of constraints: minimizing the Euclidean distance between the original acoustic emission coordinates and the center of the strain mutation, maximizing the characteristic frequency-strain rate correlation coefficient, and minimizing the angle between the stress gradient direction and the position correction vector. The objective function is solved using an adaptive step size algorithm. If the preset condition of the stress gradient angle being less than 15 degrees is met, the final corrected coordinates are output. Otherwise, the matching threshold is adjusted and the iteration is repeated.

[0113] In the above embodiment, the initial spatial mapping of this embodiment establishes the basic coordinate framework provided by the subunit, and through the joint analysis of the local feature extraction of the strain field constraint loading subunit and the multi-parameter correlation matching subunit, the original positioning error of the nanoscale acoustic emission event is reduced from the order of magnitude of the array unit spacing to the submillimeter level, achieving spatial resolution fusion across orders of magnitude. The three-dimensional stress gradient constraint introduced by the stress field weighted optimization subunit ensures that the coordinate correction process simultaneously satisfies the physical association rules of the acoustic characteristics (frequency spectrum), mechanical response (strain field) and load environment (stress field), eliminating the pseudo defect signals that may be caused by a single data source. The final output corrected coordinates not only contain spatial position information, but also integrate derived parameters such as the characteristic frequency-strain rate correlation coefficient and the stress gradient weight to form a multidimensional data body that can describe the dynamic characteristics of damage evolution, providing a complete input basis for energy dissipation analysis. The adaptive iterative mechanism dynamically adjusts the matching range through a preset threshold, effectively overcoming the problem of local parameter mutation caused by material heterogeneity, and ensuring that stable coordinate correction performance can be maintained under complex stress states. The corrected coordinate grid forms a spatially topologically consistent mapping relationship with the original strain field distribution, allowing the evolution of nanoscale defects and millimeter-scale strain field changes to be synchronously observed and analyzed in the same reference system.

[0114] Example 9:

[0115] like Figure 4 As shown, based on Example 1, the intelligent healing efficacy evaluation module 3 provided by the embodiment of the present invention includes:

[0116] The damage path feature extraction submodule 31 is used to extract the three-dimensional geometric features of the preset crack path based on the full-scale evolution map, including the main crack branching angle, the spatial distribution density of micro-defect clusters, and the local stress concentration factor calibrated by the dynamic stress field simulation feedback module;

[0117] The vibration frequency band matching submodule 32 is used to input the crack path characteristics into the frequency band optimizer to generate a driving spectrum adapted to the rheological characteristics of the repair medium;

[0118] The main frequency band is determined by the crack branching angle and defect density, ensuring that the propagation direction of the vibration wavefront is consistent with the main direction of crack expansion;

[0119] The harmonic components are modulated according to the stress concentration factor to enhance the penetration efficiency of the repair medium in the high-pressure area;

[0120] The pulse interval is set with reference to the energy dissipation rate recorded by infrared thermal imaging to avoid the heat accumulation effect during the medium migration process;

[0121] The gradient drive field construction submodule 33 is used to form a mechanical vibration field with a temporal and spatial gradient inside the concrete after the piezoelectric driver array receives the optimized spectrum:

[0122] Spatial gradient: The output amplitude of the driver near the crack area increases, forming a potential energy gradient pointing to the damage center;

[0123] Time gradient: The vibration waveform adopts an asymmetric envelope and uses the medium inertia effect to achieve net displacement accumulation;

[0124] The migration process feedback control submodule is used to monitor the migration status of the repair medium using a multiplexed high-resolution acoustic emission network;

[0125] When the medium reaches the crack interface, the generated interface wave is captured by the acoustic emission array, and its dispersion characteristics are used to invert the medium filling rate;

[0126] When signal attenuation in a specific frequency band is detected (indicating that the medium has filled the microscopic pores), it automatically switches to low-frequency maintenance mode to promote interface bonding;

[0127] The distributed fiber optic sensing layer synchronously monitors the strain field rebalancing process and triggers dynamic adjustment of vibration parameters to eliminate local flow blockage.

[0128] In the aforementioned embodiment, this embodiment quantifies the three-dimensional geometric features of the crack into driving spectrum parameters through a cascaded process of the damage path feature extraction submodule and the vibration frequency band matching submodule. This ensures that the mechanical vibration energy distribution strictly matches the damage morphology, avoiding the waste or underfilling of the medium caused by traditional uniform excitation. The spatiotemporal gradient vibration field generated by the gradient driving field construction submodule, combined with real-time monitoring by the migration process feedback control submodule, enables directional migration of the repair medium along the main crack path and selective penetration into microdefect clusters, improving local repair integrity. The pulse interval modulated by the vibration frequency band matching submodule is linked to infrared thermal imaging data to form a thermal-mechanical coupling control mechanism, maximizing the medium migration rate while preventing degradation of the repair material performance due to heat accumulation. Dual-modal feedback from the acoustic emission network and the distributed fiber optic sensing layer establishes a joint criterion for medium filling rate and strain field rebalancing, enabling dynamic adjustment of vibration parameters based on real-time working conditions and eliminating repair blind spots. An automatic switching mechanism to the low-frequency maintenance mode utilizes mechanical vibration to promote molecular-level interaction between the repair medium and the concrete matrix, improving the microstructure of the interface transition zone and laying the foundation for subsequent mechanical property restoration. The output data of the entire process (filling rate, strain field equilibrium state, etc.) is mapped to the benchmark data of the dynamic stress field simulation feedback module, providing a multi-scale evidence chain for evaluating the repair effect.

[0129] Example 10:

[0130] like Figure 5 As shown, based on Examples 1 to 9, the dynamic monitoring method for testing the crack resistance of ultra-high performance concrete provided by the embodiments of the present invention includes the following steps:

[0131] S100: Dynamic stress field-crack extension collaborative feedback control;

[0132]

[0133] Where, σ ij Represents the dynamic stress tensor (real-time output of the flexible loading array); ε kl represents the strain tensor (distributed optical fiber sensing layer data); ε cr (x, t) represents the crack density function (acoustic emission network reconstruction); D ijkl represents the fourth-order stiffness tensor of concrete; α represents the crack-stress field coupling coefficient; this equation describes the dynamic adjustment process of the stress field as the crack evolves. When the acoustic emission network detects the crack initiation (δ cr >0\)), the flexible loading array automatically adjusts the stress distribution (σ ij ), reducing stress concentration at the crack tip and slowing its propagation. The α term in the equation quantifies the local weakening effect of the crack on the material stiffness, ensuring that stress field redistribution and damage evolution are optimized simultaneously.

[0134] S200: Multi-scale damage entropy increase criteria and early warning triggering;

[0135]

[0136] Where S AE (f, t) represents the time-frequency power spectrum of the acoustic emission signal (nanoscale damage characterization); S0(f) represents the reference spectrum of the material in the non-destructive state; represents the optical fiber strain gradient (millimeter-level damage characterization); λ, represents the cross-scale weight factor and strain gradient threshold; the first term calculates the relative entropy (Kullback-Leibler divergence) of the acoustic emission signal to quantify the randomness of microscopic damage; the second term detects the macroscopic strain concentration; when H(t) exceeds the critical value (determined through historical data training), the system determines that the damage has entered the acceleration stage and automatically triggers the infrared thermal imaging system to record the energy dissipation path, realizing cross-scale damage early warning.

[0137] S300: Repair medium migration-mechanical properties synergistic optimization;

[0138]

[0139] where f(t) represents the time-varying frequency of the piezoelectric actuator (optimization variable); R(x,f(t)) represents the filling response function of the repair medium at position x; TV[R] represents the total variational regularization term of the filling distribution (suppressing inhomogeneities); σ post ,σ ideal Represents the stress field after repair and the ideal uniform stress field; by optimizing the vibration frequency f(t), the repair medium filling response R(x,f(t)) is maximized in the crack area (the denominator The objective function simultaneously optimizes the uniformity of the stress field and the filling uniformity after repair to ensure the recovery of mechanical properties after self-repair.

[0140] Among the aforementioned embodiments, this embodiment establishes a real-time coupling equation for stress field and crack propagation to achieve adaptive adjustment of loading strategies; proposes a joint criterion for acoustic emission entropy and strain gradient to overcome the limitations of single-scale damage monitoring; and models the repair process as a physically constrained optimization problem to achieve a synergistic improvement in medium migration and mechanical properties. Closed-loop operation is based on the system's multi-source data (stress field, acoustic emission, fiber optic strain, infrared thermal imaging).

[0141] Figure 6 A block diagram is shown of an exemplary electronic device suitable for implementing embodiments of the present invention.

[0142] The electronic device may include a central processing unit / microprocessor / main control chip, etc. 4; a storage medium 5, coupled to the central processing unit / microprocessor / main control chip, etc. 4, and storing computer executable instructions therein for performing the steps of each method of an embodiment of the present invention when executed by the processor.

[0143] The central processing unit / microprocessor / main control chip 4 may include but is not limited to one or more processors or microprocessors.

[0144] The storage medium 5 may include, but is not limited to, for example, random access memory (RAM), read-only memory (ROM), flash memory, EPROM memory, EEPROM memory, registers, computer storage media (such as hard disk, floppy disk, solid-state drive, removable disk, CD-ROM, DVD-ROM, Blu-ray disc, etc.).

[0145] In addition, the electronic device may also include (but not limited to) a data bus 6, an input / output bus / external bus / device bus 7, a display 8, and input / output devices 9 (eg, keyboard, mouse, speaker, etc.).

[0146] The central processing unit / microprocessor / main control chip etc. 4 can communicate with external devices ( 8 , 9 etc.) via an I / O bus 7 via a wired or wireless network (not shown).

[0147] The storage medium 5 may also store at least one computer executable instruction for executing the various functions and / or method steps in the embodiments described in this technology when run by the central processing unit / microprocessor / main control chip 4.

[0148] In one embodiment, the at least one computer executable instruction may also be compiled into or constitute a software product, wherein one or more computer executable instructions are executed by a processor to perform the various functions and / or method steps in the embodiments described in the present technology.

[0149] Figure 7 A schematic diagram of a computer-readable storage medium according to an embodiment of the present invention is shown.

[0150] like Figure 7As shown, a non-transitory computer-readable storage medium 11 stores instructions, such as computer-readable instructions 10. When the computer-readable instructions 10 are executed by a processor, the various methods described above can be executed. Non-transitory computer-readable storage media include, but are not limited to, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache), etc. Non-transitory non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. For example, the non-transitory computer-readable storage medium 11 can be connected to a computing device such as a computer, and then, when the computing device executes the computer-readable instructions 10 stored on the computer-readable storage medium 11, the various methods described above can be performed.

[0151] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interface, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0152] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0153] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0154] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for executing all or part of the steps of the various embodiments of the method of the present invention through a computer device (which can be a personal computer, server, or network device, etc.). The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (English full name: Read-Only Memory, English abbreviation: ROM), random access memory (English full name: Random Access Memory, English abbreviation: RAM), magnetic disk or optical disk, and other media that can store program code.

[0155] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A system for testing the crack resistance of ultra-high performance concrete, characterized in that: Include: The dynamic stress field simulation feedback module is used to sense the three-dimensional distribution of the microstress field inside the concrete in real time by constructing a flexible loading array, and obtain dynamic stress field data; the flexible loading array dynamically generates non-uniform loading paths; When microcracks initiate, the loading pressure of the adjacent loading unit automatically decays, and the stress redistribution data is transmitted to the central analysis node; A multi-scale damage evolution tracking module for deploying a high-resolution acoustic emission network and distributed fiber optic sensing layer based on dynamic stress field data from a flexible loading array; Form a full-scale evolution map from micro defects to macro cracking; Intelligent healing effectiveness evaluation module, used to obtain stress redistribution data and full-scale evolution maps, and inject repair media containing tracers along the preset crack path; During the evaluation phase, the acoustic emission array is reused to monitor the interface bonding state, and the loading array is used to apply alternating stress to quantify the self-healing effect.

2. The ultra-high performance concrete crack resistance testing system according to claim 1, characterized in that: Dynamic stress field simulation feedback module, including: The material heterogeneity mapping submodule is used to obtain the internal density field distribution data of the ultra-high performance concrete specimen through initial scanning. The heterogeneity of the ultra-high performance concrete specimen is quantified as an elastic modulus gradient matrix in three-dimensional space, which serves as the reference input for generating the loading path, so that the stress application matches the inherent properties of the material. An adaptive load distribution submodule is used for calculating local load weights after each unit of the flexible loading array receives elastic modulus gradient data of the elastic modulus gradient matrix; The high-density area is allocated a higher proportion of pressure increment, and the low-density area corresponds to a reduced initial load intensity; Forming an initial stress field coupled with the material microstructure; A real-time crack response adjustment submodule is used to dynamically modify the loading path based on stress redistribution data when microcrack initiation signals are captured by the central analysis node; With the crack tip as the origin, a conical pressure attenuation zone is established along its propagation direction, and the adjacent loading units reduce the load according to the distance gradient; at the same time, the lateral pressure in the areas on both sides of the crack is enhanced to form a closed stress ring that inhibits crack propagation.

3. The ultra-high performance concrete crack resistance testing system according to claim 2, characterized in that: Adaptive load distribution submodule, including: An elastic modulus gradient data analysis unit is used to extract the elastic modulus eigenvalue of each loading unit corresponding to the spatial position based on the elastic modulus gradient matrix. The elastic modulus eigenvalue reflects the material stiffness properties of the area where the unit is located. Set the benchmark load intensity, normalize the elastic modulus characteristic value of each unit with the benchmark value, and use the normalized result as the basic weight coefficient of the unit; The neighborhood coupling effect compensation unit is used to establish a three-dimensional influence domain with the current unit as the center, perform weighted average calculation on the elastic modulus eigenvalues of all units in the influence domain, and obtain the coupling correction coefficient to compensate for the stress concentration effect caused by local material mutation; The weight synthesis calculation unit is used to multiply the basic weight coefficient and the coupling correction coefficient to generate the final local load weight of each unit; The weight value determines the pressure output intensity of the corresponding unit in the loading array, and the initial stress field formed maintains spatial matching with the material microstructure.

4. The ultra-high performance concrete crack resistance testing system according to claim 3, characterized in that: Elastic modulus gradient data analysis unit, including: The reference load strength setting subunit is used to determine a standard reference value as the reference load strength based on the preset global load requirement, corresponding to the median eigenvalue in the material elastic modulus gradient matrix, as a reference benchmark for normalization processing; The eigenvalue relative ratio calculation subunit is used to calculate the ratio of the elastic modulus eigenvalue corresponding to each loading unit to the benchmark load strength. The ratio reflects the degree of deviation of the material stiffness at a specific location from the system benchmark. The ratio is processed through a piecewise function, and a progressive compression mapping is used for the eigenvalue area above the benchmark value, and an expansion mapping is used for the area below the benchmark value. The boundary condition constraint subunit is used to impose preset upper and lower thresholds to constrain the normalized results within the valid operating range; feature values exceeding the threshold are treated as boundary values.

5. The ultra-high performance concrete crack resistance testing system according to claim 3, characterized in that: Neighborhood coupling effect compensation unit, including: The three-dimensional influence domain construction sub-unit is used to establish a spherical or cubic influence domain with the spatial coordinates of the current unit as the center according to the preset geometric parameters, and determine the range of adjacent units that need to participate in the calculation; The radius of the influence domain is dynamically adjusted based on the rate of change of the material property gradient. A distance decay weight is assigned to each unit within the influence domain, with the center unit receiving the highest weight, which decreases exponentially with increasing spatial distance. The slope of the weight distribution curve is dynamically adjusted based on the basic weight coefficient output by the elastic modulus gradient data analysis unit, with areas with lower basic weights adopting a steeper decay curve. The eigenvalue aggregation calculation unit is used to multiply the elastic modulus eigenvalues of all units in the influence domain by the corresponding spatial weights, add them up, and then divide them by the sum of the weights to obtain the weighted average eigenvalue; The coupling strength quantification unit is used to use the ratio of the original eigenvalue of the current unit to the weighted average eigenvalue as the basic value of the coupling correction coefficient. When the ratio is greater than 1, it indicates that there is a sudden change in material stiffness in the area and stress concentration compensation is required. When the ratio is equal to 1, a neutral correction is maintained. An S-shaped curve transformation is applied to the basic value of the basic coupling coefficient to convert the linear ratio into a correction coefficient with a smooth transition. The inflection point of the transformation curve is determined by the standard deviation of the eigenvalues in the influence domain, and areas with high dispersion adopt a smoother transition characteristic.

6. The ultra-high performance concrete crack resistance testing system according to claim 1, characterized in that: Multi-scale damage evolution tracking module, including: The 3D stress field benchmark construction submodule is used to establish an initial 3D stress field model based on the non-uniform loading path data output by the dynamic stress field simulation feedback module. The unit pressure value of the flexible loading array is used as a node parameter to quantify the internal density difference of the ultra-high performance concrete as a stress field gradient distribution. Nanoscale event capture submodule, which is used to receive elastic wave signals triggered by stress redistribution using a high-resolution acoustic emission network and extract crack propagation characteristic frequencies through time-frequency analysis; feature Frequency components are mapped to the loading array coordinates to form spatial positioning data for nanoscale defects, with timestamps synchronized with dynamic stress field data. The strain mutation trajectory detected by the distributed fiber optic sensing layer is automatically matched to the acoustic emission event in the time-space coordinate system. When the strain growth rate exceeds a preset threshold and is accompanied by a high-frequency acoustic emission signal, it is determined to be an effective crack growth event, triggering the activation of the infrared thermal imaging system. The energy dissipation visualization submodule is used to capture the abnormal thermal radiation area at the crack tip with the infrared thermal imaging system. The heat flux density distribution, acoustic emission signal intensity, and optical fiber strain value form a three-dimensional thermal-mechanical coupling matrix, revealing the energy conversion path during crack propagation and supplementing the dissipation characteristics that cannot be reflected by mechanical parameters. The nanoscale acoustic emission positioning points, millimeter-level strain trajectories, and thermal radiation fields are spatially gridded, and the stress field gradient is used as the weighting coefficient for data fusion. In the fused three-dimensional map, each voxel contains three types of parameters: characteristic frequency, strain increment, and heat flux density, realizing full-scale characterization from dislocation motion to macroscopic cracks.

7. The ultra-high performance concrete crack resistance testing system according to claim 6, characterized in that: Nano-level event capture submodule, including: The elastic wave characteristic decoupling unit is used to extract non-uniform loading path data from the dynamic stress field output, driving the high-density sensor array into active detection mode. When microstructural reorganization occurs within ultra-high performance concrete, elastic waves are released with key characteristics: a fundamental frequency component determined by the dislocation motion rate and a harmonic group modulated by the defect geometry. A joint time-frequency domain analysis is used to extract a set of characteristic frequency bands positively correlated with the local stress gradient from the original waveform. The time-space reference alignment unit is used to input the characteristic frequency set obtained by decoupling into the loading coordinate system converter. Using the pre-calibrated pressure-wave velocity transfer function of the flexible loading array, the time domain signal is converted into a spatial position function. Each detection event is assigned four-dimensional coordinate attributes: the physical position on the X / Y / Z axes is determined by inverting the pressure distribution of the array elements, and the time dimension is synchronized by the dynamic stress field simulation clock. The strain-acoustic emission coupling verification unit is used to perform triple verification of the strain field change rate matrix generated in real time by the distributed optical fiber sensing layer and the spatial coordinates of the acoustic emission events; The cross-scale data fusion unit is used to pass the verified event data stream into the grid processor, using the stress field gradient distribution as the adaptive interpolation weight to unify the discrete acoustic emission positioning points and the continuous strain field trajectory into a standard spatial grid. The three-dimensional coordinates of the nanoscale event are automatically corrected to the position that best matches the millimeter-level strain trajectory, while retaining the original characteristic frequency spectrum as the basis for damage pattern recognition.

8. The ultra-high performance concrete crack resistance testing system according to claim 7, characterized in that: The strain-acoustic emission coupling verification unit undergoes a triple check, including: position coincidence check, which verifies that the spatial deviation between the center point of the strain mutation and the acoustic emission positioning point is less than the preset tolerance; timing correlation check, which confirms that the time difference between the strain start moment and the acoustic emission trigger moment is within the theoretical delay range of stress wave propagation; and energy conservation check, which ensures that the strain energy release and the integrated energy of the acoustic emission signal satisfy the material constitutive relationship.

9. The ultra-high performance concrete crack resistance testing system according to claim 1, wherein: Intelligent healing effectiveness evaluation module, including: The damage path feature extraction submodule is used to extract the three-dimensional geometric features of the preset crack path based on the full-scale evolution map, including the main crack branching angle, the spatial distribution density of micro-defect clusters, and the local stress concentration factor calibrated by the dynamic stress field simulation feedback module; The vibration frequency band matching submodule is used to input the crack path characteristics into the frequency band optimizer to generate a driving spectrum adapted to the rheological characteristics of the repair medium; The gradient driving field construction submodule is used to form a mechanical vibration field with a temporal and spatial gradient inside the concrete after the piezoelectric driver array receives the optimized spectrum.

10. A dynamic monitoring method for the ultra-high performance concrete crack resistance testing system according to any one of claims 1 to 9, characterized in that: The dynamic monitoring method comprises: Dynamic stress field-crack extension collaborative feedback control; Multi-scale damage entropy increase criteria and early warning triggering; Co-optimization of repair medium migration and mechanical properties.

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