Physical modeling method for verifying steel shell concrete void detection mapping model

Abstract

The invention relates to a physical modeling method for verifying a steel shell concrete void detection mapping model, which comprises the following steps: determining a model style of a steel shell concrete void test piece, and adopting a steel plate as a lining surface of other side surfaces and a bottom surface except a top surface for concrete pouring; a cavity is formed in the side face steel shell, and a metal plate is welded to the position where the cavity is formed to form a cavity cavity; pouring concrete on the top surface of the steel shell; collecting detection data by using detection equipment; calculating the detection data according to a pre-established mapping model; analyzing a void detection result and void parameters of the steel shell concrete void test piece, and counting analysis indexes of the parameters; and acquiring a comprehensive evaluation value by using a comprehensive evaluation model based on the analysis index. According to the method, time-consuming and labor-consuming links such as uncovering a steel plate and accurately measuring the void volume are omitted, so that the whole verification process is more efficient, the time required for verification is greatly shortened, meanwhile, the model can be used for repeated and multiple verification tests, and the model utilization rate is improved.

Description

Technical Field

[0001] The invention relates to the technical field of steel shell concrete void detection, and in particular to a physical modeling method for verifying a steel shell concrete void detection mapping model. Background Art

[0002] Since the steel shell concrete structure is wrapped with a steel plate several millimeters to several centimeters thick, it is impossible to measure the voids through direct measurement methods. Therefore, it is necessary to use some measurement media that can penetrate the steel plate and interact with different media such as air, water, concrete, etc. to produce different response indicators, and the response indicators are observable. At present, the media used in the non-destructive detection method of steel shell concrete voids include elastic waves, electromagnetic waves (gamma rays, X-rays, infrared rays), neutron rays, etc. For example, fast neutrons can penetrate steel plates and interact with different media such as air, water, concrete, etc. to produce different numbers of thermal neutrons, and thermal neutrons can be measured by thermal neutron detectors. In short, this type of detection method belongs to indirect measurement, and it is necessary to establish a one-to-one mapping relationship between voids and response indicators, that is, for each degree of voids, it has a unique value corresponding in the response domain. In actual operation, this mapping model is generally constructed through calibration experiments.

[0003] Building a mapping model is only the first step in applying detection technology and equipment to practice. Successful application practice also requires verification of the reliability and accuracy of the mapping model. The more conventional method in the prior art is to use a 1:1 physical model for verification. This verification method is more objective and realistic, and has a high success rate, but the verification process is more complicated. It is necessary to uncover the steel plate after the test, and the amount of air voids in the physical model must be accurately measured before comparison. This verification method is not only challenging in measurement, time-consuming, labor-intensive, and low in precision, but also large-scale projects require a large amount of raw materials such as steel and concrete, but can only be verified once, generating a large amount of waste after verification, which is not economical or environmentally friendly.

[0004] Therefore, there is an urgent need to provide a verification method for a steel shell concrete void detection mapping model to overcome the above-mentioned defects in the prior art. Summary of the invention

[0005] To this end, the technical problem to be solved by the present invention is to overcome the technical defects existing in the prior art, and propose a physical modeling method for verifying the steel shell concrete void detection mapping model, which eliminates the time-consuming and laborious steps of uncovering the steel plate and accurately measuring the void amount, making the entire verification process more efficient. Not only can the model be used for repeated and multiple verification tests, but it also greatly shortens the time required for verification and improves the verification efficiency. It can effectively ensure the effective verification of the steel shell concrete void detection mapping model, and effectively guarantee the reliability and accuracy of the model.

[0006] In order to solve the above technical problems, the present invention creatively provides a physical modeling method for verifying a steel shell concrete void detection mapping model, comprising the following steps:

[0007] S1: Determine the model style of the steel shell concrete void test specimen, and use steel plates of equal thickness as the lining of the side and bottom surfaces except the top surface for concrete pouring;

[0008] S2: a hollow space is set in the middle of the side steel shell, and a metal plate is welded at the hollow space to form a hollow space, and steel bars are welded in the hollow space with a larger area as support;

[0009] S3: pouring concrete on the top surface of the steel shell according to the selected concrete material and pouring process;

[0010] S4: Place the testing equipment close to the center of the outer side of the steel shell, so that the testing center point coincides with the hollowing center point, collect the testing data, and record the collected testing data and the hollowing conditions one by one to form a record table;

[0011] S5: Analyze and calculate the collected detection data according to the mapping model established in advance through the calibration experiment to obtain the air gap detection result;

[0012] S6: According to the corresponding principle, the void detection result is compared and analyzed with the void parameters of the steel shell concrete void test piece, and the analysis indexes of various parameters are statistically calculated;

[0013] S7: Based on the analysis indicators of various parameters, a comprehensive evaluation value is obtained by using a comprehensive evaluation model, and the accuracy of the mapping model is reflected by the comprehensive evaluation value.

[0014] In one of the embodiments, in S1, the model style is a cube, a cuboid or a cylinder, and its length, width, height or diameter is not less than 60 cm; the thickness of the steel shell is 4-60 mm.

[0015] In one of the embodiments, in S2, a hollow space is provided in the middle of the inner part of the side steel shell. If it is a cylindrical model, it is provided in the middle of the 1 / 4 sector of the side.

[0016] In one of the embodiments, in S2, the hollow cavity appears as a columnar body perpendicular to the plane of the steel shell, and the shape of the columnar body projected onto the plane of the steel shell has various shapes, including regular shapes and irregular polygons; while on the concrete surface, the hollow cavity appears as a plane or a jagged surface parallel to the steel shell surface.

[0017] In one of the embodiments, in S4, the detection equipment is placed close to the middle of the outer side of the steel shell to collect detection data, and at least two tests are required for a single void.

[0018] In one embodiment, in S5, the method for obtaining the air gap detection result includes:

[0019] The collected detection data is analyzed and calculated according to the mapping model to obtain the air gap detection result R (h, S, V), where the expression of the mapping model is:

[0020] R(h,S,V)=f(D,N);

[0021] In the formula, h represents the void depth, S represents the void area, V represents the void volume, D represents the steel shell thickness, and N represents the parameters related to the detection data.

[0022] In one embodiment, in S6, the analysis indicators include absolute error, relative error, standard deviation and confidence interval.

[0023] In one embodiment, in S7, the method of obtaining the comprehensive evaluation value by using the comprehensive evaluation model includes:

[0024] Using comprehensive evaluation model to obtain comprehensive evaluation value Among them, the expression of the comprehensive evaluation model is:

[0025]

[0026] Where Δ(h) represents the absolute error of the void depth, E represents the relative error, S(h) represents the standard deviation of the void depth, and P represents the confidence interval.

[0027] Furthermore, the present invention also provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned method when executing the program.

[0028] Furthermore, the present invention further provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the above-mentioned method are implemented.

[0029] The above technical solution of the present invention has the following advantages compared with the prior art:

[0030] In the process of prefabricating steel shell concrete voiding test pieces, the method of the present invention makes a detailed plan for voiding settings, fully considering various situations such as combinations of various shapes, areas and depths, so as to comprehensively simulate possible voiding situations; at the same time, when performing voiding detection, the detection equipment is placed close to the middle of the outer side of the steel shell, so that the detection center point coincides with the voiding center point to collect detection data. Through precise settings, the detection data corresponding to the voiding situation can be accurately obtained from the outer side of the steel shell while the steel plate remains intact, and there is no need to uncover the steel plate to contact the inner area of ​​the voiding for detection. Compared with the existing complex verification process, the method of the present invention omits the time-consuming and laborious steps of uncovering the steel plate and accurately measuring the voiding amount, making the entire verification process more efficient. Not only can the model be used for repeated and multiple verification tests, but it also greatly shortens the time required for verification, improves verification efficiency, and can effectively ensure the effective verification of the steel shell concrete voiding detection mapping model, which effectively guarantees the reliability and accuracy of the model. This provides solid and powerful support for the subsequent development and practical application of steel shell concrete voiding detection technology, making it have important practical value and good application prospects. The method of the present invention does not require the construction of a large-scale 1:1 physical model, thus saving a large amount of raw materials, reducing resource waste and avoiding waste generation. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a flow chart of a physical modeling method for verifying a steel shell concrete void detection mapping model proposed by the present invention.

[0032] Figure 2 It is a model diagram of the prefabricated steel shell concrete hollow test piece of the present invention.

[0033] The reference numerals are described as follows: 1. steel shell; 2. hollow cavity. DETAILED DESCRIPTION

[0034] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments so that those skilled in the art can better understand the present invention and implement it, but the embodiments are not intended to limit the present invention.

[0035] Reference Figure 1 and Figure 2 As shown, an embodiment of the present invention provides a physical modeling method for verifying a steel shell concrete void detection mapping model, comprising the following steps:

[0036] S1: Determine the model style of the steel shell concrete void test specimen, and use steel plates of equal thickness as the lining of the side and bottom surfaces except the top surface for concrete pouring;

[0037] S2: a hollow space is set in the middle of the side steel shell 1, and a metal plate is welded at the hollow space to form a hollow cavity 2, and steel bars are welded in the hollow cavity with a larger area as support;

[0038] S3: pouring concrete on the top surface of the steel shell according to the selected concrete material and pouring process;

[0039] S4: Place the detection device close to the center of the outer side of the steel shell 1, so that the detection center point coincides with the center point of the hollow cavity 2, collect detection data, and record the collected detection data and the hollowing situation one by one to form a record table;

[0040] S5: Analyze and calculate the collected detection data according to the mapping model established in advance through the calibration experiment to obtain the air gap detection result;

[0041] S6: According to the corresponding principle, the void detection results are compared and analyzed with the void parameters of the steel shell concrete void specimen, and the analysis indicators of various parameters are statistically analyzed;

[0042] S7: Based on the analysis indicators of various parameters, a comprehensive evaluation value is obtained by using a comprehensive evaluation model, and the accuracy of the mapping model is reflected by the comprehensive evaluation value.

[0043] In the process of prefabricating steel shell concrete voiding test pieces, the method of the present invention makes a detailed plan for voiding settings, fully considering various situations such as combinations of various shapes, areas and depths, so as to comprehensively simulate possible voiding situations; at the same time, when performing voiding detection, the detection equipment is placed close to the middle of the outer side of the steel shell 1, so that the detection center point coincides with the center point of the voiding cavity 2 to collect detection data. Through precise settings, the detection data corresponding to the voiding situation can be accurately obtained from the outer side of the steel shell 1 while the steel plate remains intact, and there is no need to uncover the steel plate to contact the inner area of ​​the voiding for detection. Compared with the existing complex verification process, the method of the present invention omits the time-consuming and laborious links of uncovering the steel plate and accurately measuring the voiding amount, making the entire verification process more efficient. Not only can the model be used for repeated and multiple verification tests, but also the time required for verification is greatly shortened, the verification efficiency is improved, and the effective verification of the steel shell concrete voiding detection mapping model can be effectively ensured, and the reliability and accuracy of the model are effectively guaranteed. This provides solid and powerful support for the subsequent development and practical application of steel shell concrete voiding detection technology, making it have important practical value and good application prospects. The method of the present invention does not require the construction of a large-scale 1:1 physical model, thus saving a large amount of raw materials, reducing resource waste and avoiding waste generation.

[0044] Among them, in step S1, the model style is a cube, a cuboid or a cylinder, and its length, width, height or diameter is not less than 60cm. Except for the top surface used for concrete pouring, the other sides and bottom surfaces are all lined with smooth steel plates of equal thickness, which is called steel shell 1. The thickness of steel shell 1 can be determined by the actual steel plate model, and the thickness is generally 4 to 60mm. In this step, by selecting model styles of various shapes and setting a size specification of not less than 60cm, the prefabricated steel shell concrete de-hollowing test piece can better simulate the steel shell concrete structure in the actual project in shape and size. Whether it is an immersed tube tunnel, a high head difference water delivery pipeline, a turbine room, a volute, a tailwater pipe of a hydropower station generator set, a nuclear power unit containment, a column in a building, a foundation pedestal, or a pile foundation, an arch rib, a cable tower and other structural components in a bridge, a corresponding simulation model can be found, thereby providing a more realistic simulation environment for studying the de-hollowing problem in these actual structures, making the research results based on the test piece more practical and valuable. In addition, a smooth steel plate of equal thickness is used as a lining to form the steel shell 1, and the appropriate thickness of the steel shell 1 can be selected according to the actual steel plate model, which further enhances the equivalence between the specimen and the actual engineering structure. The lining characteristics of the smooth steel plate and the flexibly selectable thickness of the steel shell 1 make the specimen similar to the steel shell concrete structure in the actual engineering in terms of the physical properties of the steel shell 1, the restraining effect on the concrete, and the characteristics related to the void detection, thereby improving the accuracy and reliability of the simulation, and facilitating a more accurate study and analysis of the void situation in the actual engineering. In summary, step S1 achieves an effective simulation of the actual steel shell concrete structure through the careful design of the model style, size specifications, and steel shell structure in the method design, and achieves the purpose of truly simulating the actual engineering structure and improving the accuracy of detection and analysis in terms of effect, laying a solid foundation for the verification process of the entire steel shell concrete void detection mapping model.

[0045] In step S2, a hollow is set in the middle of the inner part of the side steel shell 1. For the cylindrical model, a hollow is set in the middle of the 1 / 4 sector of the side. The setting of the hollow should consider a combination of various shapes, areas and depths. The hollow cavity 2 is a columnar body perpendicular to the plane of the steel shell 1. The shape of the hollow cavity 2 projected onto the plane of the steel shell 1 includes a regular shape or an irregular polygon such as a rectangle, square, circle, trapezoid or rhombus. The shape on the concrete surface is a plane parallel to the steel shell surface or a serrated ("V" type or "W" type) curved surface. The hollow depth ranges from 0 (no hollow) to ) to several millimeters, several centimeters, for irregular polygonal hollowing, the area parameters during design should be known in order to calculate the hollowing amount, and the hollowing amount is calculated by the hollowing area and depth parameters; 3mm aluminum plate or steel plate is used to weld at the hollowing position to form a hollowing cavity 2, for the hollowing cavity 2 with a larger area, 4mm steel bars can be welded in the hollowing cavity 2 as support, the number of steel bars can be adjusted according to the size of the hollowing area, and the cutting, welding and other manufacturing processes of the prefabricated metal plate need to reach millimeter-level accuracy to strictly control the errors of parameters such as the depth, area and hollowing amount of the hollowing. In this step, through the careful design of the hollowing position, shape, area, depth and cavity geometric characteristics, step S2 can fully simulate various hollowing situations that may occur in actual engineering, whether it is hollowing of different shapes and positions, or hollowing from slight to severe, it can be reflected in the prefabricated specimen, which makes the detection research results based on the specimen more practical and valuable, and can better guide the hollowing detection work of the actual steel shell concrete structure. Diversified void settings help improve the versatility of the void detection mapping model. In summary, step S2 achieves the goal of fully simulating the actual void situation and accurately quantifying the void degree in terms of effect by diversifying and refining the void-related parameters in the method design, providing rich and accurate simulated void conditions for the verification of the steel shell concrete void detection mapping model.

[0046] Among them, in step S3, any concrete material that meets the national standard (Concrete Structure Design Standard GB / T 50010-2010) adopted by a certain project is selected as the model prefabrication material; the casting process is determined, and the casting process can be a wide range of casting methods or a specific casting method adopted by a certain project; according to the selected concrete material and casting process, concrete is cast on the top surface of the steel shell 1, and the casting quality is strictly controlled, including the selection of raw materials (cement, coarse and fine aggregates, admixtures, water) of the concrete, the determination of the mix ratio, the mixing operation, and the control of the casting and vibration.

[0047] Among them, in step S4, a detection device with a detection device (such as a detector, a thermal neutron detector, etc.) is prepared, and the detection device is placed close to the middle of the outer side of the steel shell 1, so that the detection center point coincides with the center point of the hollow cavity 2, and the detection data (such as reflection waveform, thermal neutron count rate, etc.) are collected, and the collected detection data and the hollow situation are recorded one by one to form a record table, as shown in Table 1 and Table 2, and a single hollow needs to be tested multiple times (twice or more). In this step, the requirement of multiple tests effectively reduces the impact of accidental factors on the detection data and improves the stability and reliability of the data. The average value or statistical results obtained by multiple tests can better represent the actual hollow situation, reduce the risk of misjudgment due to a single measurement error, make the detection data more convincing, and help to more accurately analyze the accuracy of the hollow detection mapping model. Through multiple sets of data obtained by multiple tests and corresponding records with the hollow situation, the performance of the detection method under different conditions can be comprehensively evaluated. Then the accuracy and applicability of the hollow detection mapping model in various actual hollow scenarios are comprehensively verified and improved. In summary, step S4 achieves the goal of improving the quality of detection data and facilitating data analysis and model verification in terms of method design through careful selection of detection equipment, accurate positioning, comprehensive data collection and recording, and multiple tests, providing a strong guarantee for the accurate verification of the steel shell concrete void detection mapping model.

[0048] Table 1 Elastic wave method detection data record table

[0049]

[0050]

[0051] Table 2 Neutron method detection data record table

[0052]

[0053] Among them, in step S5, the method for obtaining the void detection result includes: analyzing and calculating the collected detection data according to the mapping model to obtain the void detection result R(h, S, V), wherein the expression of the mapping model is R(h, S, V) = f(D, N); wherein h represents the void depth, S represents the void area, V represents the void volume, D represents the thickness of the steel shell 1, and N represents the parameters related to the detection data. In this step, the conversion from the detection data to the void characteristic parameters is realized through the analysis and calculation method based on the mapping model, the parameter meaning and calculation process are clarified in the method design, and the void characteristics are accurately obtained in terms of the effect, which provides a basis for model verification and is of great significance to the verification and application of the steel shell concrete void detection mapping model.

[0054] Among them, in step S6, according to the corresponding principle, the void detection result is compared and analyzed with the void parameters of the actual specimen, and the absolute or relative error, standard deviation and confidence interval of each parameter (taking the void depth as an example) are statistically analyzed, wherein:

[0055] (1) Absolute error: Δ(h) = R(h) - R t (h), where R(h) represents the void depth detection result calculated by the mapping model, and R t (h) indicates the void depth parameter of the actual specimen. The absolute error directly reflects the absolute difference between the test value and the actual value, which can clearly understand the degree to which the test result deviates from the actual value. If the absolute error is small, it means that the test result is closer to the actual situation; otherwise, it means that there is a large deviation in the test result.

[0056] (2) Relative error: It is the ratio of absolute error to actual value. Relative error can better reflect the relative deviation of the test result, especially when the actual value is larger or smaller, relative error can better measure the accuracy of the test result. For example, when the absolute error is the same, the relative error is smaller when the actual value is larger, which means that the test result is closer to the actual situation in a relative sense.

[0057] (3) Standard deviation: In the formula, h i represents the void depth value of the i-th detection, It represents the average value of the hollow depths detected multiple times, n represents the number of tests, and the standard deviation reflects the degree of dispersion of a set of test data. If the standard deviation is small, it means that the test results are relatively stable and the data volatility is small; otherwise, it means that the test results are more volatile and there may be greater uncertainty.

[0058] (4) Confidence interval: In the formula, It represents a statistic determined according to the confidence level and degrees of freedom, μ represents the overall mean, and the confidence interval gives the possible range of the true value under a certain confidence level. By calculating the confidence interval, we can understand the reliability and uncertainty range of the test results, which provides an important basis for evaluating the accuracy and reliability of the test method.

[0059] In this step, by calculating analysis indicators such as absolute error, relative error, standard deviation and confidence interval, the accuracy and reliability of the void detection results can be comprehensively evaluated from different angles. Based on these analysis indicators, the accuracy and reliability of the mapping model can be judged. If the error is large or the confidence interval is wide, it means that there may be problems with the mapping model and further adjustment and improvement are needed. In summary, step S6 provides a means for comprehensively evaluating the detection results in method design by following the corresponding principle for comparative analysis and calculating various analysis indicators. In terms of effect, it achieves the goals of multi-angle error analysis, guiding model improvement and enhancing the credibility of detection results, and provides important support for the verification and practical engineering application of the steel shell concrete void detection mapping model.

[0060] Among them, in step S7, the method of using the comprehensive evaluation model to obtain the comprehensive evaluation value includes: using the comprehensive evaluation model to obtain the comprehensive evaluation value Among them, the expression of the comprehensive evaluation model is: In the formula, Δ(h) represents the absolute error of the void depth, E represents the relative error, S(h) represents the standard deviation of the void depth, and P represents the confidence interval. In this step, the expression of the comprehensive evaluation model is to comprehensively consider multiple analysis indicators related to the void detection results to obtain a comprehensive evaluation value that can fully reflect the accuracy of the mapping model. By incorporating these different indicators into the same model for comprehensive analysis, the one-sidedness caused by evaluating the accuracy of the mapping model based on only a single indicator is avoided. j is the weight coefficient, which corresponds to each analysis indicator Different analysis indicators may have different importance in evaluating the accuracy of the mapping model. By setting a suitable weight coefficient for each indicator, the importance of each indicator can be adjusted according to the actual situation. The reasonable setting of the weight coefficient can make the comprehensive evaluation model more suitable for specific application scenarios and evaluation needs.

[0061] The detection media used in the method of the present invention, such as elastic waves, electromagnetic waves (gamma rays, X-rays, infrared rays), neutron rays, etc., have the property of being able to penetrate steel plates, and their interaction with different media such as air, water, concrete, etc. will produce different observable response indicators. For example, fast neutrons can penetrate steel plates and interact with different media to produce different numbers of thermal neutrons, which can be measured by thermal neutron detectors. This means that without uncovering the steel plates, these detection media can be used to obtain information related to the void through the steel plates, thereby providing a data basis for subsequent verification work, without having to uncover the steel plates and directly observe the void locations to obtain information.

[0062] When prefabricating steel shell concrete void test pieces, the method of the present invention carefully plans the setting of voids, taking into account a variety of combinations of different shapes, areas and depths. At the same time, when performing void detection, a detection device with a detection device (such as a detector, a thermal neutron detector, etc.) is placed in close proximity to the middle of the outer side of the steel shell, so that the detection center point coincides with the void center point to collect detection data. Through such a precise setting, it is possible to accurately obtain detection data corresponding to the void situation from the outer side of the steel shell while the steel plate remains intact, without having to uncover the steel plate to contact the inner area of ​​the void for detection, and then carry out subsequent verification processes based on these externally collected data.

[0063] The method of the present invention establishes a complete process system from detection data collection, result calculation to data analysis and comprehensive evaluation. First, based on the above-mentioned detection data collected without uncovering the steel plate, the result calculation is performed according to the mapping model established in advance through the calibration experiment to obtain the void detection results, including void depth, area, void volume and other specific parameters. Then, according to the corresponding principle, these test results are compared and analyzed with the preset void parameters of the actual specimen, and the absolute or relative error, standard deviation and confidence interval of each parameter and other analysis indicators are statistically analyzed. The comprehensive evaluation model is used to obtain a comprehensive evaluation value to reflect the accuracy of the mapping model, and finally the mapping model is verified. The entire process relies entirely on the data collected from the outside of the steel shell and reasonable data analysis and verification logic. There is no need to uncover the steel plate to obtain additional information to complete the verification process.

[0064] The method of the present invention can be reflected in multiple links such as specimen prefabrication design, void setting and simulation, and detection and verification process, that the method of the present invention does not need to construct a large-scale 1:1 physical model. The main reason is that through scientific and reasonable design and methods, the actual void situation can be effectively simulated on a relatively small-sized and non-proportional specimen, and the void detection mapping model can be verified by using appropriate detection means and analysis systems.

[0065] Corresponding to the above method embodiment, an embodiment of the present invention further provides a computer device, including:

[0066] A memory for storing computer programs;

[0067] A processor is used to implement the steps of the above-mentioned method for detecting voids in heterogeneous space under a steel plate based on a joint detection model when executing a computer program.

[0068] In the embodiment of the present invention, the processor may be a central processing unit (CPU), an application specific integrated circuit, a digital signal processor, a field programmable gate array or other programmable logic devices.

[0069] The processor can call the program stored in the memory. Specifically, the processor can execute the operations in the embodiment of the above-mentioned method for detecting voids in heterogeneous space under steel plates based on the joint detection model.

[0070] The memory is used to store one or more programs, which may include program codes, and the program codes include computer operating instructions.

[0071] In addition, the memory may include a high-speed random access memory and may also include a non-volatile memory, such as at least one disk storage device or other volatile solid-state storage device.

[0072] Corresponding to the above method embodiments, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for detecting voids in heterogeneous spaces under steel plates based on a joint detection model are implemented.

[0073] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0074] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0075] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0076] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0077] Obviously, the above embodiments are merely examples for clear explanation and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived from these are still within the protection scope of the invention.

Claims

1. A physical modeling method for verifying a steel shell concrete void detection mapping model, characterized in that: The following steps are involved: S1: Determine the model style of the steel shell concrete void test specimen, and use steel plates of equal thickness as the lining of the side and bottom surfaces except the top surface for concrete pouring; S2: a hollow space is set in the middle of the side steel shell, and a metal plate is welded at the hollow space to form a hollow space, and steel bars are welded in the hollow space with a larger area as support; S3: pouring concrete on the top surface of the steel shell according to the selected concrete material and pouring process; S4: Place the testing equipment close to the center of the outer side of the steel shell, so that the testing center point coincides with the hollowing center point, collect the testing data, and record the collected testing data and the hollowing conditions one by one to form a record table; S5: Analyze and calculate the collected detection data according to the mapping model established in advance through the calibration experiment to obtain the air gap detection result; S6: According to the corresponding principle, the void detection result is compared and analyzed with the void parameters of the steel shell concrete void test piece, and the analysis indexes of various parameters are statistically calculated; S7: Based on the analysis indicators of various parameters, a comprehensive evaluation value is obtained by using a comprehensive evaluation model, and the accuracy of the mapping model is reflected by the comprehensive evaluation value.

2. The physical modeling method for verifying the steel shell concrete void detection mapping model according to claim 1 is characterized in that: In S1, the model style is a cube, a cuboid or a cylinder, and its length, width, height or diameter is not less than 60 cm; the thickness of the steel shell is 4-60 mm.

3. The physical modeling method for verifying the steel shell concrete void detection mapping model according to claim 2 is characterized in that: In S2, a hollow space is set in the middle of the inner side steel shell. If it is a cylindrical model, it is set in the middle of the 1 / 4 sector of its side.

4. The physical modeling method for verifying the steel shell concrete void detection mapping model according to any one of claims 1 to 3, characterized in that: In S2, the hollow cavity appears as a column perpendicular to the plane of the steel shell. The shape of the column projected onto the plane of the steel shell has various shapes, including regular shapes and irregular polygons. On the concrete surface, the hollow cavity appears as a plane or a jagged surface parallel to the steel shell surface.

5. The physical modeling method for verifying the steel shell concrete void detection mapping model according to claim 4 is characterized in that: In S4, the detection equipment is placed close to the middle of the outer side of the steel shell to collect detection data, and a single void requires at least two tests.

6. The physical modeling method for verifying the steel shell concrete void detection mapping model according to claim 5 is characterized in that: In S5, the method for obtaining the air gap detection result includes: The collected detection data is analyzed and calculated according to the mapping model to obtain the air gap detection result R (h, S, V), where the expression of the mapping model is: R(h,S,V)=f(D,N); In the formula, h represents the void depth, S represents the void area, V represents the void volume, D represents the steel shell thickness, and N represents the parameters related to the detection data.

7. The physical modeling method for verifying the steel shell concrete void detection mapping model according to claim 6 is characterized in that: In S6, the analysis indicators include absolute error, relative error, standard deviation and confidence interval.

8. The physical modeling method for verifying the steel shell concrete void detection mapping model according to claim 7 is characterized in that: In S7, the method of obtaining the comprehensive evaluation value by using the comprehensive evaluation model includes: Using comprehensive evaluation model to obtain comprehensive evaluation value Among them, the expression of the comprehensive evaluation model is: Where Δ(h) represents the absolute error of the void depth, E represents the relative error, S(h) represents the standard deviation of the void depth, and P represents the confidence interval.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the method according to any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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