Method for detecting impact resistance of building material

Abstract

The invention discloses a building material impact resistance detection method, and relates to the technical field of intelligent detection, and the method comprises the following steps: calculating a critical impact force and a first weight, constructing first impact force equations, and fusing the first impact force equations to obtain a comprehensive impact force equation. Through step-by-step regulation and image analysis, the critical impact speed and the impact force of the material can be accurately determined, the detection accuracy is improved, the device adapts to various test conditions (such as different impact angles and contact areas), the impact resistance of the material can be comprehensively evaluated, a comprehensive impact force equation is obtained by fusing multiple impact force equations, and the impact resistance of the material is improved. According to the method, the impact resistance of the material in practical application can be more comprehensively reflected, and compared with a traditional method, the method reduces personal errors and improves the detection efficiency through automatic regulation and control and image analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent detection, and particularly to a method for detecting the impact resistance performance of building materials. Background Art

[0002] In recent years, with the continuous emergence of new building materials, the detection technology will be closely combined with the research and development of new materials to provide technical support for the performance evaluation and application of new materials. In addition to traditional test methods such as dynamic compression, dynamic splitting tension, and dynamic flexure, technologies such as microstructure analysis and acoustic emission monitoring are also combined to comprehensively evaluate the impact resistance performance of building materials from different angles.

[0003] Currently, in the Chinese invention patent with the publication number of CN119151918A, a method and system for detecting the performance of building materials are disclosed. When the first or second performance test data indicates that the concrete to be detected is unqualified and a second sampling area needs to be reselected, a reference basis is provided, and the selection of the second sampling area is corrected, rather than randomly reselecting. Through the correction of the first or second performance test data, the data detected from the reselected sampling area can better reflect the current situation of the concrete. However, in the related technology, a comprehensive impact force detection equation is not constructed based on the properties of the material itself and the nature of the external force impact, lacking a comprehensive grasp of parameters, not simplifying the operation process according to the control variable method, which is not conducive to intuitively analyzing the impact force of the parameters of the heavy hammer on the material, and is prone to cause incorrect or inaccurate factor analysis, having certain limitations. Summary of the Invention

[0004] The technical problem solved by the present invention is that in the related technology, a comprehensive impact force detection equation is not constructed based on the properties of the material itself and the nature of the external force impact, lacking a comprehensive grasp of parameters, not simplifying the operation process according to the control variable method, which is not conducive to intuitively analyzing the impact force of the parameters of the heavy hammer on the material, and is prone to cause incorrect or inaccurate factor analysis, having certain limitations.

[0005] To solve the above technical problem, the present invention provides the following technical solution: A method for detecting the impact resistance performance of building materials, comprising the following steps:

[0006] Step S100, conduct a first impact test according to preset parameters, send a first adjustment signal according to the material image after the first test, perform a first regulation on the preset parameters according to the first adjustment signal, and obtain the critical impact speed according to the material image corresponding to the preset parameters after the first regulation, where the first regulation is performed under the premise of controlling variables;

[0007] Step S200: Calculate the critical impact force based on the critical impact velocity, calculate the first weight based on the material parameters, and construct the first impact force equation based on the first weight, the first adjusted preset parameters, and the critical impact force;

[0008] Step S300: Integrate each first impact force equation to obtain the comprehensive impact force equation.

[0009] As a preferred solution of a method for detecting the impact resistance performance of a building material according to the present invention, wherein: the preset parameters include the weight of the heavy hammer, the distance between the heavy hammer and the material, and the initial velocity of the heavy hammer;

[0010] Extract the knowledge spectrum diagram of the crane based on the pre-lifted model of the crane to be operated, and obtain the operator's request instructions, where the operator's request instructions include the first instruction, the second instruction, and the third instruction;

[0011] The first instruction is used to change the weight of the heavy hammer and keep the distance between the heavy hammer and the material and the initial velocity of the heavy hammer unchanged. The second instruction is used to change the distance between the heavy hammer and the material, and keep the weight of the heavy hammer and the initial velocity of the heavy hammer unchanged. The third instruction is used to change the initial velocity of the heavy hammer and keep the weight of the heavy hammer and the distance between the heavy hammer and the material unchanged;

[0012] Execute the first instruction, the second instruction, and the third instruction according to the knowledge spectrum diagram of the crane;

[0013] The first test includes the first instruction test, the second instruction test, and the third instruction test, and the test logics respectively correspond to the knowledge spectrum diagram of the crane.

[0014] As a preferred solution of a method for detecting the impact resistance performance of a building material according to the present invention, wherein: the knowledge spectrum diagram of the crane is expressed as:

[0015] When executing the first instruction, taking the first value as the gradient, with the first weight as the initial weight, the weight obtained by circularly and cumulatively increasing the first value based on the first weight as the intermediate weight, setting the distance between the heavy hammer and the material as the first distance, setting the initial velocity of the heavy hammer as the first velocity, releasing the heavy hammer, and stopping the first instruction until the critical impact force is reached;

[0016] When executing the second instruction, taking the second value as the gradient, with the first distance as the initial distance, the distance obtained by circularly and cumulatively increasing the second value based on the first distance as the intermediate distance, setting the weight of the heavy hammer as the first weight, setting the initial velocity of the heavy hammer as the first velocity, releasing the heavy hammer, and stopping the second instruction until the critical impact force is reached;

[0017] When the third instruction is executed, using the third value as the gradient, with the first speed as the initial speed, the speed obtained by circularly and cumulatively increasing the third value to the first speed is the intermediate speed, setting the weight of the heavy hammer to the first weight, setting the distance between the heavy hammer and the material to the first distance, releasing the heavy hammer, and stopping the third instruction until the critical impact force is reached.

[0018] As a preferred solution of a method for detecting the impact resistance of building materials according to the present invention, wherein: select the initial parameters and intermediate parameters under any instruction, respectively obtain the surface images of the material under the initial parameters and intermediate parameters, extract the first feature quantity of each material surface image, the first feature quantity is expressed as a shape feature quantity, extract the second feature quantity corresponding to the slightly cracked image, and the second feature quantity is expressed as a shape feature quantity.

[0019] As a preferred solution of a method for detecting the impact resistance of building materials according to the present invention, wherein: calculate the similarity between the first feature quantity and the second feature quantity corresponding to the initial parameters through the cosine similarity calculation formula, set the fourth value as the similarity threshold, compare the similarity with the fourth value, when the similarity is less than or equal to the fourth value, jump to the first feature quantity corresponding to the next intermediate parameter, until the similarity is greater than the fourth value, set the corresponding intermediate parameter as the target parameter, that is, the preset parameter after regulation, when the similarity corresponding to the initial parameter is greater than the fourth value, no first regulation is performed.

[0020] As a preferred solution of a method for detecting the impact resistance of building materials according to the present invention, wherein: the calculation expression of the critical impact force is:

[0021] ;

[0022] Wherein, F is the critical impact force, m is the weight of the heavy hammer, v is the initial speed of the heavy hammer, and d is the distance between the heavy hammer and the material.

[0023] As a preferred solution of a method for detecting the impact resistance of building materials according to the present invention, wherein: the material parameters include density, elastic modulus, Poisson's ratio and thickness;

[0024] The method for calculating the first weight according to the material parameters includes:

[0025] Obtain the critical impact force of the material with each material parameter under any instruction, use the critical impact force as the dependent variable and the material parameter as the independent variable for multiple regression analysis, and set the coefficient of the material parameter under the multiple regression analysis as the corresponding first weight.

[0026] As a preferred solution of a method for detecting the impact resistance of building materials according to the present invention, wherein: the first impact force equation is expressed as:

[0027] ;

[0028] Wherein, F1 is the first impact force under the first instruction, , E, and H are density, elastic modulus, Poisson's ratio and thickness respectively, and c1 to c4 are the first weights corresponding to density, elastic modulus, Poisson's ratio and thickness respectively.

[0029] As a preferred solution of a method for detecting the impact resistance of a building material according to the present invention, wherein: the fusion method of the comprehensive impact force equation includes:

[0030] Obtain the first impact force equations under the first instruction, the second instruction and the third instruction, add the two ends of each first impact force equation respectively, and then divide both sides of the added equation by 3 to obtain the comprehensive impact force equation.

[0031] As a preferred solution of a method for detecting the impact resistance of a building material according to the present invention, wherein: the calculation expression of the comprehensive impact force equation is:

[0032] ;

[0033] Wherein, F(i,j) represents the comprehensive impact force, i represents the i material parameter, and j represents the adjusted preset parameter, is the comprehensive expression of each first impact force equation after fusion.

[0034] The beneficial effects of the present invention: Through step-by-step regulation and image analysis, the critical impact speed and impact force of the material can be accurately determined, the accuracy of detection can be improved, and it can adapt to various test conditions (such as different impact angles, contact areas, etc.). It can comprehensively evaluate the impact resistance of the material. By fusing multiple impact force equations to obtain the comprehensive impact force equation, the impact resistance of the material in actual applications can be more comprehensively reflected. Compared with the traditional method, this method reduces human error and improves the detection efficiency through automatic regulation and image analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 is a schematic diagram of the basic process of a method for detecting the impact resistance of a building material provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0036] In order to make the above objects, features and advantages of the present invention more obvious and understandable, the following detailed description of the specific embodiments of the present invention will be given with reference to the accompanying drawings of the specification. Obviously, the described embodiments are some but not all of the embodiments of the present invention.

[0037] Embodiment, referring to Figure 1, which is an embodiment of the present invention, provides a method for detecting the impact resistance performance of building materials, including the following steps:

[0038] Step S100, conduct the first impact test according to preset parameters, send the first adjustment signal based on the material image after the first test, perform the first regulation on the preset parameters according to the first adjustment signal, and obtain the critical impact speed based on the material image corresponding to the preset parameters after the first regulation. The first regulation is expressed as an adjustment under the premise of controlling variables;

[0039] Step S200, calculate the critical impact force according to the critical impact speed, calculate the first weight according to the material parameters, and construct the first impact force equation based on the first weight, the preset parameters after the first regulation, and the critical impact force;

[0040] Step S300, fuse each first impact force equation to obtain the comprehensive impact force equation.

[0041] Through step-by-step regulation and image analysis, the present invention can accurately determine the critical impact speed and impact force of the material, improve the accuracy of detection, adapt to various test conditions (such as different impact angles, contact areas, etc.), and can comprehensively evaluate the impact resistance performance of the material. By fusing multiple impact force equations to obtain the comprehensive impact force equation, it can more comprehensively reflect the impact resistance performance of the material in actual applications. Compared with traditional methods, this method reduces human errors through automated regulation and image analysis and improves the detection efficiency.

[0042] The preset parameters include the weight of the heavy hammer, the distance between the heavy hammer and the material, and the initial speed of the heavy hammer;

[0043] Extract the knowledge spectrum diagram of the crane based on the pre-lifted model of the crane to be operated, and obtain the operator's request instructions. The operator's request instructions include the first instruction, the second instruction, and the third instruction;

[0044] The first instruction is used to change the weight of the heavy hammer while keeping the distance between the heavy hammer and the material and the initial speed of the heavy hammer unchanged. The second instruction is used to change the distance between the heavy hammer and the material while keeping the weight of the heavy hammer and the initial speed of the heavy hammer unchanged. The third instruction is used to change the initial speed of the heavy hammer while keeping the weight of the heavy hammer and the distance between the heavy hammer and the material unchanged;

[0045] Execute the first instruction, the second instruction, and the third instruction according to the knowledge spectrum diagram of the crane;

[0046] The first test includes the first instruction test, the second instruction test, and the third instruction test, and the test logics respectively correspond to the knowledge spectrum diagram of the crane.

[0047] In specific implementation, by gradually adjusting the weight, distance, and initial velocity of the heavy hammer, the critical impact force of the material under different conditions can be accurately determined. The combination of the test logic and the knowledge spectrum ensures the scientific nature and repeatability of the test, enables adaptation to various test conditions, comprehensively evaluates the impact resistance of the material. By integrating multiple impact force equations, a comprehensive impact force equation is obtained, which can more comprehensively reflect the impact resistance of the material in actual applications, is particularly suitable for the design, selection, and quality control of building materials, and can provide a scientific basis for the evaluation of the impact resistance of building materials.

[0048] The knowledge spectrum of the crane is represented as:

[0049] When the first instruction is executed, with the first value as the gradient, taking the first weight as the initial weight, the weight obtained by cyclically and cumulatively increasing the first value by the first weight is the intermediate weight. Set the distance between the heavy hammer and the material to the first distance, set the initial velocity of the heavy hammer to the first velocity, release the heavy hammer, and stop the first instruction until the critical impact force is reached.

[0050] When the second instruction is executed, with the second value as the gradient, taking the first distance as the initial distance, the distance obtained by cyclically and cumulatively increasing the second value by the first distance is the intermediate distance. Set the weight of the heavy hammer to the first weight, set the initial velocity of the heavy hammer to the first velocity, release the heavy hammer, and stop the second instruction until the critical impact force is reached.

[0051] When the third instruction is executed, with the third value as the gradient, taking the first velocity as the initial velocity, the velocity obtained by cyclically and cumulatively increasing the third value by the first velocity is the intermediate velocity. Set the weight of the heavy hammer to the first weight, set the distance between the heavy hammer and the material to the first distance, release the heavy hammer, and stop the third instruction until the critical impact force is reached.

[0052] In specific implementation, the weight, distance, and velocity of the heavy hammer are adjusted in a gradient manner to more accurately find the critical impact force of the material.

[0053] Select the initial parameters and intermediate parameters under any instruction, respectively obtain the surface images of the material under the initial parameters and intermediate parameters, extract the first feature quantity of each material surface image, the first feature quantity is represented as a shape feature quantity, extract the second feature quantity corresponding to the slightly cracked image, and the second feature quantity is represented as a shape feature quantity.

[0054] Calculate the similarity between the first feature quantity and the second feature quantity corresponding to the initial parameters through the cosine similarity calculation formula, set the fourth value as the similarity threshold, compare the similarity with the fourth value, and when the similarity is less than or equal to the fourth value, jump to the first feature quantity corresponding to the next intermediate parameter until the similarity is greater than the fourth value, then set the corresponding intermediate parameter as the target parameter, that is, the preset parameter after regulation. When the similarity corresponding to the initial parameter is greater than the fourth value, no first regulation is performed.

[0055] In specific implementation, through calculate the similarity, where A and B are the first feature quantity and the second feature quantity respectively, and the similarity threshold is set to 0.8. By comparing the cosine similarity with the threshold, the direction and degree of parameter adjustment can be accurately determined. Based on the similarity evaluation of the feature quantity, the scientificity and reliability of the test results are ensured.

[0056] The calculation expression of the critical impact force is:

[0057] ;

[0058] where F is the critical impact force, m is the weight of the heavy hammer, v is the initial velocity of the heavy hammer, and d is the distance between the heavy hammer and the material.

[0059] The material parameters include density, elastic modulus, Poisson's ratio and thickness;

[0060] The method for calculating the first weight according to the material parameters includes:

[0061] Obtain the critical impact force of the material with each material parameter under any instruction, use the critical impact force as the dependent variable and the material parameters as the independent variables for multiple regression analysis, and set the coefficients of the material parameters under the multiple regression analysis as the corresponding first weights.

[0062] In specific implementation, the measured test data is shown in the following table:

[0063]

[0064] Through multiple regression analysis, the obtained regression coefficients are: 100, 0.2 (weight of density), 1.5 (weight of elastic modulus), -50 (weight of Poisson's ratio), 10 (weight of thickness). Determining the weights through multiple regression analysis avoids the uncertainty of subjective weight assignment, makes the weights more scientific and objective. The regression model can accurately predict the critical impact force according to the material parameters, providing strong support for material design and selection. Based on the regression analysis of experimental data, the reliability and practicability of weight setting are ensured.

[0065] The first impact force equation is expressed as:

[0066] ;

[0067] Among them, F1 is the first impact force under the first instruction, , E, and H are density, elastic modulus, Poisson's ratio and thickness respectively, and c1 to c4 are the first weights corresponding to density, elastic modulus, Poisson's ratio and thickness respectively.

[0068] The fusion method of the comprehensive impact force equation includes:

[0069] Obtain the first impact force equations under the first instruction, the second instruction and the third instruction, add the two ends of each first impact force equation respectively, and then divide both sides of the added equation by 3 to obtain the comprehensive impact force equation.

[0070] Through the averaging process, the impact force effects under different instructions are integrated. By fusing the impact force equations under multiple instructions, the impacts of different parameters (such as the weight, speed, and distance of the heavy hammer) on the impact force are comprehensively considered, making the result more representative. The impact force equations under different instructions are efficiently fused, providing a comprehensive and reliable tool for the evaluation of the impact resistance performance of building materials.

[0071] The calculation expression of the comprehensive impact force equation is:

[0072] ;

[0073] Among them, F(i,j) represents the comprehensive impact force, i represents the i material parameter, and j represents the adjusted preset parameter, is the comprehensive expression of each first impact force equation after fusion.

[0074] Through step-by-step regulation and image analysis, the present invention can accurately determine the critical impact speed and impact force of materials, improve the accuracy of detection, adapt to various test conditions (such as different impact angles, contact areas, etc.), can comprehensively evaluate the impact resistance performance of materials, and by fusing multiple impact force equations to obtain a comprehensive impact force equation, can more comprehensively reflect the impact resistance performance of materials in actual applications. Compared with traditional methods, this method reduces human errors and improves detection efficiency through automated regulation and image analysis.

[0075] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code. Among them, the storage medium is implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disc. These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured article including an instruction device, and the instruction device implements the process Figure 1 in one process or multiple processes and / or blocks Figure 1 specified functions in one block or multiple blocks.

[0076] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that modifications or equivalent replacements can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. A method for detecting the impact resistance of building materials, characterized in that It includes the following steps: Step S100: Conduct the first impact test according to preset parameters, send a first adjustment signal based on the material image after the first test, conduct a first regulation on the preset parameters according to the first adjustment signal, and obtain the critical impact speed based on the material image corresponding to the preset parameters after the first regulation. The first regulation means adjustment under the premise of controlling variables; Step S200: Calculate the critical impact force according to the critical impact speed, calculate the first weight according to the material parameters, and construct the first impact force equation based on the first weight, the preset parameters after the first regulation, and the critical impact force; Step S300: Integrate each first impact force equation to obtain the comprehensive impact force equation.

2. The method for detecting the impact resistance performance of building materials according to claim 1, wherein: The preset parameters include the weight of the hammer, the distance between the hammer and the material, and the initial speed of the hammer; Extract the knowledge spectrum diagram of the crane based on the pre-lifted model of the crane to be operated, and obtain the operator's request instructions. The operator's request instructions include the first instruction, the second instruction, and the third instruction; The first instruction is used to change the weight of the hammer while keeping the distance between the hammer and the material and the initial speed of the hammer unchanged. The second instruction is used to change the distance between the hammer and the material while keeping the weight of the hammer and the initial speed of the hammer unchanged. The third instruction is used to change the initial speed of the hammer while keeping the weight of the hammer and the distance between the hammer and the material unchanged; Execute the first instruction, the second instruction, and the third instruction according to the knowledge spectrum diagram of the crane; The first test includes the first instruction test, the second instruction test, and the third instruction test, and the test logics respectively correspond to the knowledge spectrum diagram of the crane.

3. The method for detecting the impact resistance of a building material according to claim 2, characterized in that: The knowledge spectrum diagram of the crane is expressed as: When executing the first instruction, with the first value as the gradient, taking the first weight as the initial weight, the weight obtained by circularly accumulating the first value to the first weight as the intermediate weight, setting the distance between the hammer and the material as the first distance, setting the initial speed of the hammer as the first speed, releasing the hammer, and stopping the first instruction until the critical impact force is reached; When executing the second instruction, with the second value as the gradient, taking the first distance as the initial distance, the distance obtained by circularly accumulating the second value to the first distance as the intermediate distance, setting the weight of the hammer as the first weight, setting the initial speed of the hammer as the first speed, releasing the hammer, and stopping the second instruction until the critical impact force is reached; When executing the third instruction, with the third value as the gradient, taking the first speed as the initial speed, the speed obtained by circularly accumulating the third value to the first speed as the intermediate speed, setting the weight of the hammer as the first weight, setting the distance between the hammer and the material as the first distance, releasing the hammer, and stopping the third instruction until the critical impact force is reached.

4. The method for testing the impact resistance of a building material as described in claim 1 is characterized in that: Select the initial parameters and intermediate parameters under any instruction, respectively obtain the material surface images under the initial parameters and intermediate parameters, extract the first feature quantities of each material surface image, the first feature quantity is expressed as a shape feature quantity, and extract the second feature quantity corresponding to the slightly cracked image, the second feature quantity is expressed as a shape feature quantity.

5. The method for detecting the impact resistance of a building material according to claim 4, wherein: Calculate the similarity between the first feature quantity and the second feature quantity corresponding to the initial parameters through the cosine similarity calculation formula, set the fourth value as the similarity threshold, compare the similarity with the fourth value. When the similarity is less than or equal to the fourth value, jump to the first feature quantity corresponding to the next intermediate parameter until the similarity is greater than the fourth value, then set the corresponding intermediate parameter as the target parameter, that is, the preset parameter after regulation. When the similarity corresponding to the initial parameter is greater than the fourth value, no first regulation is performed.

6. The method for detecting the impact resistance of a building material according to claim 1, characterized in that: The calculation expression of the critical impact force is: ； Where, F is the critical impact force, m is the weight of the heavy hammer, v is the initial velocity of the heavy hammer, and d is the distance between the heavy hammer and the material.

7. The method for detecting the impact resistance of a building material according to claim 1, characterized in that: The material parameters include density, elastic modulus, Poisson's ratio, and thickness; The method for calculating the first weight according to the material parameters includes: Obtain the critical impact force of the material of each material parameter under any instruction. Taking the critical impact force as the dependent variable and the material parameters as the independent variables, perform multiple regression analysis, and set the coefficients of the material parameters under the multiple regression analysis as the corresponding first weights.

8. The method for detecting the impact resistance of a building material according to claim 1, characterized in that: The first impact force equation is expressed as: ； Among them, F1 is the first impact force under the first instruction, , E, and H are density, elastic modulus, Poisson's ratio and thickness respectively, and c1 to c4 are the first weights corresponding to density, elastic modulus, Poisson's ratio and thickness respectively.

9. The method for detecting the impact resistance of a building material according to claim 1, wherein: The fusion method of the comprehensive impact force equation includes: Obtain the first impact force equations under the first instruction, the second instruction, and the third instruction, add the two ends of each first impact force equation respectively, and then divide both sides of the added equation by 3 to obtain the comprehensive impact force equation.

10. A method for detecting the impact resistance of building materials according to claim 9, characterized in that: The calculation expression of the comprehensive impact force equation is: ； Among them, F(i, j) represents the comprehensive impact force, i represents the i material parameter, and j represents the preset parameter after regulation. It is the comprehensive expression of each first impact force equation after fusion.

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