Method for monitoring fibers inside concrete, system, medium, and product

Abstract

The present invention relates to the technical field of concrete material monitoring. Disclosed are a method for monitoring fibers inside concrete, a system, a medium, and a product. The method comprises: acquiring concrete to be monitored; using a capacitance sensor to measure a capacitance value of the concrete to be monitored; inputting the capacitance value of the concrete to be monitored into a dielectric constant calculation formula to obtain a dielectric constant of the concrete to be monitored; acquiring a dielectric constant of target concrete and a dielectric constant of fiber-free concrete; and inputting the dielectric constant of the concrete to be monitored, the dielectric constant of the target concrete and the dielectric constant of the fiber-free concrete into a prediction model to obtain a measurement fiber orientation efficiency coefficient of the concrete to be monitored, and using the measurement fiber orientation efficiency coefficient as a monitoring result of the concrete to be monitored. The present invention can achieve accurate, rapid, and quantitative monitoring of fibers inside concrete.

Description

Concrete internal fiber monitoring method, system, medium and product

[0001] This application claims priority to the Chinese patent application filed with the China Patent Office on March 18, 2024, with application number 202410304564.8 and invention name “Concrete Internal Fiber Monitoring Method, System, Medium and Product”, the entire contents of which are incorporated by reference into this application. Technical Field

[0002] The present invention relates to the technical field of concrete material monitoring, and in particular to a method, system, medium and product for monitoring concrete internal fibers. Background Art

[0003] Fiber-reinforced concrete (FRC) is gaining widespread application in modern civil engineering due to its remarkable properties, including enhanced toughness, slowed crack propagation, and improved seismic resistance. However, the uniformity, orientation, and density of fiber distribution within concrete crucially influence its performance. Uneven fiber distribution can lead to subpar performance and even premature structural damage. Therefore, accurate, rapid, and real-time monitoring and analysis of the fiber distribution within concrete is crucial to ensure that the concrete achieves its expected performance and provides reliable long-term service.

[0004] Capacitive sensors sense the presence, location, and other properties of objects based on changes in capacitance. The signal variation in a capacitive sensor depends on the spacing between the electrodes, the electrode area, and the medium in the measurement field. Therefore, commonly used capacitive sensors are categorized as variable spacing, variable area, and variable dielectric constant. Capacitive sensors are widely used in industrial, medical, and meteorological monitoring fields due to their non-contact nature, high sensitivity, fast response, wide applicability, and versatility.

[0005] Currently, the common technique for determining fiber distribution is to evaluate the fiber arrangement effect by measuring the change in the internal resistance of concrete using the resistance method. However, the resistance method has some limitations, such as sensitivity to humidity and temperature, which may affect the measurement accuracy. In addition, the resistance method usually requires contact with the test piece, which cannot achieve non-destructive monitoring. In comparison, the capacitance method shows obvious advantages in detecting fibers. First, the capacitance method is non-invasive and can be measured without contacting or destroying the concrete structure, which is crucial for protecting the integrity of the structure. Second, the capacitance method is less sensitive to environmental factors such as humidity and temperature, and therefore can provide more stable and reliable measurement results. In addition, the capacitance method can provide a faster response time, which is particularly important for real-time monitoring. Therefore, the development of fiber distribution monitoring technology based on the capacitance method can overcome the limitations of the resistance method and provide a more accurate and efficient monitoring method.

[0006] In the capacitance method, by measuring the capacitance of a medium, certain properties or states of the medium can be inferred. The capacitance method is applicable in a variety of fields, such as metallurgy, electricity, chemicals, medicine, and energy, for monitoring material properties, mixing processes, diffusion processes, and more. In the application of fiber-reinforced concrete materials, the capacitance method can detect the distribution and arrangement of internal fibers by measuring changes in capacitance within the concrete. The non-invasive and rapid response characteristics of this technology enable real-time monitoring of changes within concrete, providing important information in the fields of construction and engineering. Its advantages include non-invasiveness, rapid response, wide applicability, low cost, and no need to worry about radiation. Precisely because of these advantages, the capacitance method shows great potential for detecting the internal fiber arrangement of fiber-reinforced concrete. In particular, its non-invasiveness and rapid response give it significant advantages in real-time monitoring and detection of fiber distribution within concrete.

[0007] In recent years, with the continuous advancement of technology, capacitance methods have been widely used in various fields, but their application in the research of fiber-reinforced concrete remains relatively limited. Therefore, developing a method that can accurately, quickly, and in real time provide quantitative data on the internal fiber distribution of fiber-reinforced concrete can not only optimize the production and construction of the material, but also provide strong support for its engineering application.

[0008] Summary of the Invention

[0009] The purpose of the present invention is to provide a method, system, medium and product for monitoring fibers inside concrete, which can realize accurate, rapid and quantitative monitoring of fibers inside concrete.

[0010] To achieve the above object, the present invention provides the following technical solutions:

[0011] A method for monitoring fibers inside concrete includes:

[0012] Obtaining the concrete to be tested;

[0013] A capacitance sensor is used to measure the capacitance value of the concrete to be tested;

[0014] Input the capacitance value of the concrete to be tested into the dielectric constant calculation formula to obtain the dielectric constant of the concrete to be tested;

[0015] Obtaining the dielectric constant of the target concrete and the dielectric constant of the fiber-free concrete;

[0016] The dielectric constant of the concrete to be tested, the dielectric constant of the target concrete and the dielectric constant of the fiber-free concrete are input into the prediction model to obtain the measured fiber direction effective coefficient of the concrete to be tested as the monitoring result of the concrete to be tested.

[0017] Optionally, the dielectric constant calculation formula is: ε measured=Cd / S;

[0018] Where d represents the distance between the two electrodes of the capacitance sensor; S represents the area of ​​the two electrodes of the capacitance sensor; C represents the capacitance value of the concrete to be measured; ε measured Indicates the dielectric constant of the concrete to be tested.

[0019] Optionally, the prediction model is: Δε=ε measured -ε1; K1=Δε / (ε2-ε1);

[0020] Among them, ε measured represents the dielectric constant of the concrete to be tested; Δε represents the increase in relative dielectric constant caused by fibers; ε1 represents the dielectric constant of concrete without fibers; ε2 represents the dielectric constant of the target concrete; K1 represents the effective coefficient of the measured fiber direction of the concrete to be tested.

[0021] Optionally, the method for monitoring internal fibers of concrete further includes:

[0022] Scan the concrete to be tested to obtain image data of the concrete to be tested;

[0023] Obtaining fiber data of the concrete to be tested based on the image data; the fiber data includes the number of fibers, the fiber length, and the angle between each fiber and the normal line of the fracture surface;

[0024] The fiber data of the concrete to be tested is input into the first fiber effective coefficient relationship model to obtain the scanning fiber direction effective coefficient of the concrete to be tested.

[0025] Optionally, the first fiber effective coefficient relationship model is:

[0026] Among them, K X-CT represents the effective coefficient of the scanning fiber direction of the concrete to be tested; n represents the number of fibers; l represents the fiber length; cosθ i represents the angle between the i-th fiber and the normal of the fracture surface.

[0027] Optionally, the method for monitoring internal fibers of concrete further includes:

[0028] The measured fiber direction effective coefficient of the concrete to be tested is input into the second fiber effective coefficient relationship model to obtain the scanned fiber direction effective coefficient of the concrete to be tested.

[0029] Optionally, the second fiber effective coefficient relationship model is: K1 = a × K X-CT +b;

[0030] Wherein, K1 represents the effective coefficient of the fiber direction of the concrete to be tested; a represents the first fitting parameter; b represents the second fitting parameter; KX-CT It represents the effective coefficient of the scanned fiber direction of the concrete to be tested.

[0031] A computer system includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the computer program to implement the steps of the above-mentioned method for monitoring internal fibers of concrete.

[0032] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for monitoring internal fibers of concrete.

[0033] A computer program product includes a computer program, which implements the steps of the above-mentioned method for monitoring internal fibers of concrete when executed by a processor.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] The present invention discloses a method, system, medium and product for monitoring fibers inside concrete. The method comprises the following steps: obtaining concrete to be tested; measuring the capacitance value of the concrete to be tested by using a capacitance sensor; inputting the capacitance value of the concrete to be tested into a dielectric constant calculation formula to obtain the dielectric constant of the concrete to be tested; obtaining the dielectric constant of a target concrete and the dielectric constant of fiber-free concrete; inputting the dielectric constant of the concrete to be tested, the dielectric constant of the target concrete and the dielectric constant of the fiber-free concrete into a prediction model to obtain a measured fiber directional effective coefficient of the concrete to be tested as a monitoring result of the concrete to be tested. The present invention can realize accurate, rapid and quantitative monitoring of fibers inside concrete.

[0036] Figures in the specification

[0037] The present invention will be further described below in conjunction with the accompanying drawings:

[0038] FIG1 is a schematic flow chart of a method for monitoring internal fibers of concrete provided by the present invention;

[0039] FIG2 is a schematic diagram of fiber preparation and arrangement according to the present invention;

[0040] FIG3 is a schematic diagram of the detection principle of capacitance value according to the present invention;

[0041] FIG4 is a schematic diagram of the operation process flow of the present invention. DETAILED DESCRIPTION

[0042] The following is a detailed description of the technical solutions in the embodiments of the present invention 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; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work shall fall within the scope of protection of the present invention.

[0043] The purpose of the present invention is to provide a method, system, medium and product for monitoring fibers inside concrete, aiming to realize visual quantitative detection of fiber distribution inside fiber concrete, and provide theoretical support for performance optimization and long-term stability of fiber concrete.

[0044] The capacitance sensor involved in the present invention is a variable dielectric constant capacitance sensor. Its detection principle is as follows: concrete and fiber have different dielectric constants. When fibers are added to concrete, the dielectric constant of the mixed medium (fiber concrete) will change, which in turn causes a change in the capacitance value. By collecting the change in the signal from the capacitance sensor, the amount of fiber in the concrete can be obtained. At the same time, the change in the direction of the fibers inside the concrete in the capacitance sensor measurement field will affect the distribution of the electric field, which will also cause a change in the measured capacitance signal. By establishing a quantitative equation to analyze the change in the capacitance signal, the direction information of the fibers in the concrete can be obtained. Since concrete is an insulator and steel is a conductor, there is a significant difference between the two in terms of their ability to store charge. Therefore, the capacitance method is more sensitive to the presence of fibers in concrete and changes in their state, and can effectively provide researchers with quantitative information on the distribution of fibers inside concrete.

[0045] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0046] Example 1

[0047] As shown in FIG1 , a method for monitoring fibers inside concrete in this embodiment includes:

[0048] Step 101: Obtain concrete to be tested.

[0049] Step 102: Using a capacitance sensor to measure the capacitance value of the concrete to be tested.

[0050] Step 103: Input the capacitance value of the concrete to be tested into a dielectric constant calculation formula to obtain the dielectric constant of the concrete to be tested.

[0051] The dielectric constant calculation formula is: ε measured =Cd / S

[0052] Where d represents the distance between the two electrodes of the capacitance sensor; S represents the area of ​​the two electrodes of the capacitance sensor; C represents the capacitance value of the concrete to be measured; ε measured Indicates the dielectric constant of the concrete to be tested.

[0053] Step 104: Obtain the dielectric constant of the target concrete and the dielectric constant of the fiber-free concrete.

[0054] The target concrete was an ideal concrete. The preparation method involved adding some concrete to the bottom of the mold, then laying horizontally arranged fibers on top of this concrete. This was done to test the effect of horizontally arranged fibers on capacitance relative to the ideal state. After pouring, the concrete slurry was thoroughly vibrated to ensure that there were no bubbles in the concrete slurry. After curing for 24 hours, the concrete was gently demolded to obtain the desired shape. To prepare for further experiments, the concrete specimens were placed in a standard curing chamber and cured for another 28 days. After cleaning, the components were dried to a constant weight in preparation for subsequent experiments.

[0055] Step 105: inputting the dielectric constant of the concrete to be tested, the dielectric constant of the target concrete and the dielectric constant of the fiber-free concrete into the prediction model to obtain the measured fiber direction effective coefficient of the concrete to be tested as the monitoring result of the concrete to be tested.

[0056] The prediction model is: Δε=ε measured -ε1 K1=Δε / (ε2-ε1)

[0057] Among them, ε measured represents the dielectric constant of the concrete to be tested; Δε represents the increase in relative dielectric constant caused by fibers; ε1 represents the dielectric constant of concrete without fibers; ε2 represents the dielectric constant of the target concrete; K1 represents the effective coefficient of the measured fiber direction of the concrete to be tested.

[0058] K1 reflects the effectiveness of fiber alignment within concrete. A higher K1 value indicates near-ideal fiber alignment, potentially improving concrete performance. Conversely, a lower K1 value may indicate that fiber alignment needs to be optimized. Statistical analysis of the K1 values ​​calculated for all test specimens quantitatively analyzes the fiber alignment within concrete to optimize its mechanical and durability properties.

[0059] As an embodiment, the method for monitoring fibers inside concrete further includes:

[0060] The concrete to be tested is scanned to obtain image data of the concrete to be tested.

[0061] Fiber data of the concrete to be tested is obtained based on the image data; the fiber data includes the number of fibers, the fiber length, and the angle between each fiber and the normal line of the fracture surface.

[0062] The fiber data of the concrete to be tested is input into the first fiber effective coefficient relationship model to obtain the scanning fiber direction effective coefficient of the concrete to be tested.

[0063] The first fiber effective coefficient relationship model is:

[0064] Among them, K X-CT represents the effective coefficient of the scanning fiber direction of the concrete to be tested; n represents the number of fibers; l represents the fiber length; cosθ i represents the angle between the i-th fiber and the normal of the fracture surface.

[0065] As an embodiment, the method for monitoring fibers inside concrete further includes:

[0066] The measured fiber direction effective coefficient of the concrete to be tested is input into the second fiber effective coefficient relationship model to obtain the scanned fiber direction effective coefficient of the concrete to be tested.

[0067] The second fiber effective coefficient relationship model is: K1 = a × K X-CT +b

[0068] Wherein, K1 represents the effective coefficient of the fiber direction of the concrete to be tested; a represents the first fitting parameter; b represents the second fitting parameter; K X-CT It represents the effective coefficient of the scanned fiber direction of the concrete to be tested.

[0069] The present invention provides an embodiment for demonstrating that the present invention can realize accurate, rapid and quantitative monitoring of fibers inside concrete, taking the monitoring of steel fiber concrete as an example, but is not limited to steel fiber concrete, and can also be used for monitoring other similar building materials that can cause changes in the capacitance value of the test block (such as concrete steel bar corrosion, dielectric transmission, etc.).

[0070] (1) Preparation of concrete test blocks

[0071] To avoid the adverse effects of vibration on the arrangement of steel fibers, an appropriate amount of cement, fine aggregate and water are mixed under a certain water-cement ratio and steel fiber volume content, and self-compacting concrete is prepared according to a standardized ratio. A mold that meets the size requirements is selected, cleaned and oiled to facilitate demoulding of the test block. Two casting methods are used. The first is to add some concrete to the bottom of the mold, and then lay horizontally arranged steel fibers on this basis to test the effect of horizontally arranged steel fibers on capacitance under relatively ideal conditions; the second is to use an L-shaped casting device to induce flow-induced steel fiber orientation to test the change in capacitance value of steel fiber-oriented concrete in actual engineering.

[0072] The first method is used to prepare the target steel fiber concrete test block, that is, the ideal state steel fiber concrete test block, as shown in Figure 2. The second method is used to prepare the sample steel fiber concrete test block, and multiple sample steel fiber concrete test blocks can be prepared.

[0073] Before the concrete initially sets, each test block is numbered, and the steel fiber arrangement angle and laying order are recorded. After pouring, the concrete is covered with plastic wrap or damp linen and placed in a curing box. Maintaining the required temperature and humidity allows the test blocks to cure within 24 hours. After curing, the test blocks are gently removed from the mold and placed in a standard curing room for 28 days before drying to constant weight to minimize moisture-induced errors.

[0074] (2) Determination of dielectric constant

[0075] As shown in Figures 3 and 4, the test environment is first set to ensure that each test block is measured under the same temperature and humidity conditions. Before the test begins, the capacitance measurement equipment (LCR digital bridge can be used) is preheated for about 30 minutes to stabilize its performance. Each test block is numbered before measurement to facilitate subsequent data tracking and analysis. Then, the parallel plate capacitance sensor is connected to the digital bridge through the electrode leads, ensuring that one electrode is connected to the L port, the other electrode is connected to the H port, and the shield device is connected to the ground port.

[0076] The test block is removed from the standard curing room. To calculate the increase in dielectric constant, the dielectric constant value of a non-steel fiber reinforced concrete block is also measured as a baseline. By comparing the dielectric constant values ​​of the steel fiber reinforced concrete block with those of the ideal steel fiber reinforced concrete block, the change in dielectric constant caused by the steel fiber arrangement can be determined. The capacitance value of the non-fiber reinforced concrete block is measured as the baseline value ε1 for the dielectric constant. Subsequently, the ideal steel fiber reinforced concrete block and the sample steel fiber reinforced concrete block are placed in the capacitance sensor in sequence and secured with a clamp to ensure measurement consistency and accuracy. The digital bridge is turned on and the capacitance value of the non-steel fiber reinforced concrete block is recorded as a baseline. Next, the capacitance values ​​of the ideal steel fiber reinforced concrete block and the sample steel fiber reinforced concrete block are measured and carefully recorded. Each test block is tested at least three times to calculate the average capacitance value and reduce the impact of random errors. According to the distance d between the two electrodes of the capacitive sensor and the electrode area S, as well as the measured capacitance value C, the formula ε=Cd / S is used to convert the dielectric constant ε of each test block. By comparing the dielectric constant values ​​of each test block, the specific impact of the fiber arrangement on the dielectric properties can be determined. By comparing the dielectric constant values ​​of the ideal steel fiber concrete test block and the sample steel fiber concrete test block, the change in dielectric constant caused by the steel fiber arrangement can be determined. The capacitance value of the test block without steel fiber concrete is used as the reference value of the dielectric constant ε1, the capacitance value of the ideal steel fiber concrete test block is tested as ε2, and the capacitance value of the test sample steel fiber concrete test block is tested as ε measured .

[0077] (3) Calculation of effective coefficient of steel fiber direction

[0078] To calculate the fiber direction effective coefficient in detail, we first obtain ε2 using the method in (2) and use this to calculate the effect of the steel fibers on the dielectric properties. Based on the Δε of each test piece obtained in (2), we then calculate the fiber direction effective coefficient K1 and define it as the ratio of the change in relative dielectric constant to the capacitance value of the ideal horizontal arrangement of steel fibers: K1 = Δε / (ε2-ε1).

[0079] Based on the obtained dielectric constant, K1 is calculated. Based on the Δε of each test block obtained in (2), K1 is then calculated, where K1 is defined as the ratio of the change in relative dielectric constant to the capacitance value under the ideal horizontal arrangement of fibers, that is, K1 = Δε / (ε2-ε1). By statistically analyzing the K1 values ​​calculated for all test blocks, not only can the arrangement of fibers inside the concrete be quantitatively analyzed, but also, through correlation analysis with concrete mechanics and durability indicators, the influence of different arrangement states on concrete performance can be further understood.

[0080] (4) Construction and calibration of fiber effective coefficient relationship model

[0081] After capacitance measurement, the steel fiber reinforced concrete specimen is scanned with X-CT to provide a high-resolution three-dimensional image of the interior of the steel fiber reinforced concrete specimen, revealing the spatial distribution and orientation of the fibers. The X-CT image data is used to analyze and calculate the spatial position and orientation of each fiber within the specimen. The statistical data includes the number of fibers and the angle θ between each fiber and the cross-section normal. i , according to the formula Calculate K X-CT .

[0082] K1 and K of each test block X-CT Comparative analysis was performed using MATLAB software to compare K1 and K X-CT Perform regression analysis on the data and establish a reliable relationship model K1=a×K X-CT +b (where a and b are regression parameters). Reliable relationship models include but are not limited to linear functions. By calculating and comparing the mean square error of each model, the difference between the model prediction value and the actual observation value is quantified. The smaller the error, the higher the accuracy and reliability of the model. By comparing the mean square error of different models, the model with the smallest error can be selected as the optimal relationship model for evaluating the arrangement of steel fibers in concrete. The established reliable relationship model is used to calibrate and verify the fiber direction effective coefficient obtained by the capacitance method, thereby improving the accuracy of the assessment of steel fiber arrangement in concrete.

[0083] Compared with the prior art, the present invention has the following advantages:

[0084] (1) The present invention utilizes capacitance measurement technology to monitor fiber arrangement. The present invention does not cause any invasive damage to concrete and does not affect the performance and life of the material itself.

[0085] (2) The present invention can monitor the arrangement of fibers inside concrete in real time through changes in the electromagnetic field, provide continuous data, and monitor the dynamic changes of the fiber arrangement inside concrete over time in real time, providing a more convenient method for studying and evaluating the influence of external environments such as different environments and loads on the arrangement of steel fibers inside concrete.

[0086] (3) This invention uses capacitance measurement technology to calculate K1, providing an innovative technical approach for accurately evaluating the fiber arrangement within steel fiber reinforced concrete. By quantifying the effect of steel fibers on the dielectric properties of concrete, the effectiveness of the fiber arrangement can be intuitively determined, allowing for rapid assessment of the concrete's structural performance without damaging the material, thereby improving testing efficiency.

[0087] (4) The present invention combines capacitance measurement technology with X-ray computed tomography technology to achieve a more comprehensive and accurate assessment of steel fiber distribution in concrete. This data fusion not only enhances the accuracy of fiber distribution assessment, but also establishes a relationship model between the two technologies through regression analysis using MATLAB software, enabling effective data calibration. This innovative method not only improves assessment efficiency but also provides a more scientific basis for the design and construction of concrete structures.

[0088] In summary, the present invention uses advanced capacitance measurement technology to monitor and analyze the fiber arrangement in concrete. Compared with traditional monitoring methods such as resistance measurement, capacitance measurement technology can provide real-time fiber distribution data without damaging the concrete structure, greatly enriching the depth and breadth of material testing and evaluation. Based on the change of dielectric constant, a calculation formula for the effective coefficient of fiber direction with dielectric constant as a variable is proposed, and combined with X-ray computed tomography (X-CT) technology, the two methods are compared to obtain the effective coefficient of fiber direction and a relationship model between the parameters obtained by the two technologies is established, thereby providing a comprehensive and accurate perspective for the internal structure evaluation of concrete.

[0089] Example 2

[0090] A computer system includes a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the computer program to implement the steps of the method for monitoring internal fibers of concrete in embodiment 1.

[0091] Example 3

[0092] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for monitoring internal fibers of concrete in embodiment 1.

[0093] Example 4

[0094] A computer program product includes a computer program, which implements the steps of the method for monitoring internal fibers of concrete in embodiment 1 when executed by a processor.

[0095] Example 5

[0096] A computer device, which may be a database. The computer device includes a processor, a memory, an input / output interface (I / O), and a communication interface. The processor, memory, and I / O interface are connected via a system bus, and the communication interface is connected to the system bus via the I / O interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store pending transactions. The I / O interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, the method for monitoring internal concrete fibers in Example 1 is implemented.

[0097] It should be noted that the object information (including but not limited to object device information, object personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in the present invention are all information and data authorized by the object or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions.

[0098] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided by the present invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), data processing logic devices based on quantum computing, and the like.

[0099] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0100] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only intended to help understand the method and core concept of the present invention. At the same time, those skilled in the art will find that the specific implementation methods and application scopes may vary based on the concept of the present invention. In summary, the contents of this specification should not be construed as limiting the present invention.

Claims

1. A method for monitoring fibers inside concrete, characterized in that: The concrete internal fiber monitoring method comprises: Obtaining the concrete to be tested; A capacitance sensor is used to measure the capacitance value of the concrete to be tested; Input the capacitance value of the concrete to be tested into the dielectric constant calculation formula to obtain the dielectric constant of the concrete to be tested; Obtaining the dielectric constant of the target concrete and the dielectric constant of the fiber-free concrete; The dielectric constant of the concrete to be tested, the dielectric constant of the target concrete and the dielectric constant of the fiber-free concrete are input into the prediction model to obtain the measured fiber direction effective coefficient of the concrete to be tested as the monitoring result of the concrete to be tested.

2. The method for monitoring internal fibers of concrete according to claim 1, characterized in that: The dielectric constant calculation formula is: ε measured =Cd / S; Where d represents the distance between the two electrodes of the capacitance sensor; S represents the area of ​​the two electrodes of the capacitance sensor; C represents the capacitance value of the concrete to be measured; ε measured Indicates the dielectric constant of the concrete to be tested.

3. The method for monitoring internal fibers of concrete according to claim 1, characterized in that: The prediction model is: Δε = ε measured - ε1; K1 = Δε / (ε2 - ε1); Among them, ε measured represents the dielectric constant of the concrete to be tested; Δε represents the increase in relative dielectric constant caused by fibers; ε1 represents the dielectric constant of concrete without fibers; ε2 represents the dielectric constant of the target concrete; K1 represents the effective coefficient of the measured fiber direction of the concrete to be tested.

4. The method for monitoring internal fibers of concrete according to claim 1, characterized in that: The concrete internal fiber monitoring method further includes: Scan the concrete to be tested to obtain image data of the concrete to be tested; Obtaining fiber data of the concrete to be tested based on the image data; the fiber data includes the number of fibers, the fiber length, and the angle between each fiber and the normal line of the fracture surface; The fiber data of the concrete to be tested is input into the first fiber effective coefficient relationship model to obtain the scanning fiber direction effective coefficient of the concrete to be tested.

5. The method for monitoring internal fibers of concrete according to claim 4, characterized in that: The first fiber effective coefficient relationship model is: Among them, K X-CT represents the effective coefficient of the scanning fiber direction of the concrete to be tested; n represents the number of fibers; l represents the fiber length; cosθ i represents the angle between the i-th fiber and the normal of the fracture surface.

6. The method for monitoring internal fibers of concrete according to claim 1, characterized in that: The concrete internal fiber monitoring method further includes: The measured fiber direction effective coefficient of the concrete to be tested is input into the second fiber effective coefficient relationship model to obtain the scanned fiber direction effective coefficient of the concrete to be tested.

7. The method for monitoring internal fibers of concrete according to claim 6, characterized in that: The second fiber effective coefficient relationship model is: K1 = a × K X-CT +b; Wherein, K1 represents the effective coefficient of the fiber direction of the concrete to be tested; a represents the first fitting parameter; b represents the second fitting parameter; K X-CT It represents the effective coefficient of the scanned fiber direction of the concrete to be tested.

8. A computer system comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method for monitoring internal fibers of concrete according to any one of claims 1 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for monitoring internal fibers of concrete according to any one of claims 1 to 7 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method for monitoring internal fibers of concrete according to any one of claims 1 to 7 are implemented.

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