A method for testing the impact resistance of building materials

Abstract

The present invention discloses a method for testing the impact resistance of building materials, which relates to the technical field of intelligent detection and includes the following steps: calculating a critical impact force and a first weight, constructing a first impact force equation, and fusing the various first impact force equations to obtain a comprehensive impact force equation. Through step-by-step control and image analysis, the present invention can accurately determine the critical impact velocity and impact force of a material, improve detection accuracy, adapt to various test conditions (such as different impact angles, contact areas, etc.), and comprehensively evaluate the impact resistance of a material. By fusing multiple impact force equations to obtain a comprehensive impact force equation, the method can more comprehensively reflect the impact resistance of the material in actual applications. Compared with traditional methods, this method reduces human error and improves detection efficiency through automated control and image analysis.

Description

Technical Field

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

[0002] In recent years, with the continuous emergence of new building materials, detection technology will be closely integrated 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 dynamic compression, dynamic splitting tension, dynamic flexural test methods, it also combines microstructure analysis, acoustic emission monitoring and other technologies to comprehensively evaluate the impact resistance of building materials from different angles.

[0003] At present, a Chinese invention patent with publication number CN119151918A discloses a method and system for testing the performance of building materials. This method provides a reference basis for reselecting a second sampling area when the concrete to be tested is unqualified through the first or second performance test data, and corrects the selection of the second sampling area instead of re-randomly selecting. By correcting the first or second performance test data, the data detected by the reselected sampling area can better reflect the current condition of the concrete. However, the related art does not construct a comprehensive impact force detection equation based on the properties of the material itself and the properties of the external force impact, lacks a comprehensive grasp of the parameters, does not simplify the operation process based on the control variable method, is not conducive to intuitive analysis of the impact force brought to the material by the parameters of the heavy hammer, and is prone to cause factor analysis errors or inaccuracies, and has certain limitations. Summary of the Invention

[0004] The technical problem solved by the present invention is that the related technology does not construct a comprehensive impact force detection equation based on the properties of the material itself and the properties of the external force impact, lacks a comprehensive grasp of the parameters, does not simplify the operation process based on the control variable method, is not conducive to intuitive analysis of the impact force brought to the material by the parameters of the heavy hammer, and easily causes factor analysis errors or inaccuracies, and has certain limitations.

[0005] To solve the above technical problems, the present invention provides the following technical solution: a method for testing the impact resistance of building materials, comprising the following steps:

[0006] Step S100, performing a first impact test according to preset parameters, sending a first adjustment signal based on the material image after the first test, performing a first adjustment on the preset parameters based on the first adjustment signal, and obtaining a critical impact velocity based on the material image corresponding to the preset parameters after the first adjustment, wherein the adjustment is performed under the premise that the first adjustment is represented as a control variable;

[0007] Step S200, calculating a critical impact force according to a critical impact velocity, calculating a first weight according to a material parameter, and constructing a first impact force equation according to the first weight, a first adjusted preset parameter, and the critical impact force;

[0008] Step S300: merging the first impact force equations to obtain a comprehensive impact force equation.

[0009] As a preferred embodiment of the method for testing the impact resistance of building materials described in the present invention, the preset parameters include the weight of the hammer, the distance between the hammer and the material, and the initial speed of the hammer;

[0010] Extracting a knowledge graph of the crane based on a pre-determined model of the crane to be operated, and obtaining an operator request instruction, wherein the operator request instruction includes a first instruction, a second instruction, and a third instruction;

[0011] 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;

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

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

[0014] As a preferred solution of the method for testing the impact resistance of building materials described in the present invention, the knowledge spectrum of the crane is represented as follows:

[0015] When executing the first instruction, the first value is used as a gradient, the first weight is used as the initial weight, the first weight is cyclically increased by the first value as the intermediate weight, the distance between the weight and the material is set to the first distance, the initial speed of the weight is set to the first speed, the weight is released, and the first instruction is stopped until the critical impact force is reached;

[0016] When executing the second instruction, the second value is used as a gradient, the first distance is used as the initial distance, the first distance is cyclically increased by the second value to form an intermediate distance, the weight of the hammer is set to the first weight, the initial speed of the hammer is set to the first speed, the hammer is released, and the second instruction is stopped when the critical impact force is reached;

[0017] When executing the third instruction, take the third value as the gradient, take the first speed as the initial speed, use the first speed cycle to cumulatively increase the speed of the third value as the intermediate speed, set the weight of the weight to the first weight, set the distance between the weight and the material to the first distance, release the weight, and stop the third instruction until the critical impact force is reached.

[0018] As a preferred solution of the method for detecting the impact resistance of building materials described in the present invention, the method comprises: selecting initial parameters and intermediate parameters under any instruction, obtaining material surface images under the initial parameters and intermediate parameters respectively, extracting the first feature quantity of each material surface image, wherein the first feature quantity is expressed as a shape feature quantity, extracting the second feature quantity corresponding to the slight crack image, wherein the second feature quantity is expressed as a shape feature quantity.

[0019] As a preferred solution of the method for detecting the impact resistance of building materials described in the present invention, the fourth value is set as the similarity threshold by calculating the similarity between the first feature quantity and the second feature quantity corresponding to the initial parameter of the cosine similarity calculation formula, and the similarity is compared 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, and set the corresponding intermediate parameter as the target parameter, that is, the preset parameter after adjustment. When the similarity corresponding to the initial parameter is greater than the fourth value, the first adjustment is not performed.

[0020] As a preferred embodiment of the method for testing the impact resistance of building materials described in the present invention, the calculation expression of the critical impact force is:

[0021] ;

[0022] Among them, F is the critical impact force, m is the weight of the hammer, v is the initial velocity of the hammer, and d is the distance between the hammer and the material.

[0023] As a preferred embodiment of the method for testing the impact resistance of building materials described in the present invention, 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] The critical impact force of the material of each material parameter under any instruction is obtained, and a multiple regression analysis is performed with the critical impact force as the dependent variable and the material parameter as the independent variable, and the coefficient of the material parameter under the multiple regression analysis is set as the corresponding first weight.

[0026] As a preferred solution of the method for testing the impact resistance of building materials described in the present invention, the first impact force equation is expressed as:

[0027] ;

[0028] 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~c4 are the first weights corresponding to density, elastic modulus, Poisson's ratio and thickness respectively.

[0029] As a preferred solution of the method for testing the impact resistance of building materials described in the present invention, 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, and then divide both sides of the added equation by 3 to obtain a comprehensive impact force equation.

[0031] As a preferred solution of the method for testing the impact resistance of building materials described in the present invention, the calculation expression of the comprehensive impact force equation is:

[0032] ;

[0033] Among them, F(i,j) represents the comprehensive impact force, i represents the material parameter, and j represents the preset parameter after adjustment. It is the comprehensive expression of the fused first impact force equations.

[0034] The beneficial effects of the present invention are as follows: through step-by-step control and image analysis, the critical impact velocity and impact force of the material can be accurately determined, the accuracy of detection can be improved, and a variety of test conditions (such as different impact angles, contact areas, etc.) can be adapted to comprehensively evaluate 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. Compared with traditional methods, this method reduces human errors and improves detection efficiency through automated control and image analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 A schematic diagram of the basic flow of a method for testing the impact resistance of building materials provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0036] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0037] Example, see Figure 1, as one embodiment of the present invention, provides a method for testing the impact resistance of building materials, comprising the following steps:

[0038] Step S100, performing a first impact test according to preset parameters, sending a first adjustment signal based on the material image after the first test, performing a first adjustment on the preset parameters based on the first adjustment signal, and obtaining a critical impact velocity based on the material image corresponding to the preset parameters after the first adjustment, wherein the adjustment is performed under the premise that the first adjustment is represented as a control variable;

[0039] Step S200, calculating a critical impact force according to a critical impact velocity, calculating a first weight according to a material parameter, and constructing a first impact force equation according to the first weight, a first adjusted preset parameter, and the critical impact force;

[0040] Step S300: merging the first impact force equations to obtain a comprehensive impact force equation.

[0041] Through step-by-step control and image analysis, the present invention can accurately determine the critical impact velocity and impact force of the material, improve detection accuracy, adapt to various test conditions (such as different impact angles, contact areas, etc.), and can comprehensively evaluate 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. Compared with traditional methods, this method reduces human errors and improves detection efficiency through automated control and image analysis.

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

[0043] Extracting a knowledge graph of the crane based on a pre-determined model of the crane to be operated, and obtaining an operator request instruction, wherein the operator request instruction includes a first instruction, a second instruction, and a third instruction;

[0044] 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;

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

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

[0047] In specific implementation, by gradually adjusting the weight, distance and initial speed of the hammer, the critical impact force of the material under different conditions can be accurately determined. The combination of test logic and knowledge spectrum ensures the scientific nature and repeatability of the test, can adapt to a variety of test conditions, and comprehensively evaluate 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 application. It 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 follows:

[0049] When executing the first instruction, the first value is used as a gradient, the first weight is used as the initial weight, the first weight is cyclically increased by the first value as the intermediate weight, the distance between the weight and the material is set to the first distance, the initial speed of the weight is set to the first speed, the weight is released, and the first instruction is stopped until the critical impact force is reached;

[0050] When executing the second instruction, the second value is used as a gradient, the first distance is used as the initial distance, the first distance is cyclically increased by the second value to form an intermediate distance, the weight of the hammer is set to the first weight, the initial speed of the hammer is set to the first speed, the hammer is released, and the second instruction is stopped when the critical impact force is reached;

[0051] When executing the third instruction, take the third value as the gradient, take the first speed as the initial speed, use the first speed cycle to cumulatively increase the speed of the third value as the intermediate speed, set the weight of the weight to the first weight, set the distance between the weight and the material to the first distance, release the weight, and stop the third instruction until the critical impact force is reached.

[0052] In specific implementation, the weight, distance and speed of the 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, obtain the material surface images under the initial parameters and intermediate parameters respectively, extract the first feature quantity 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 slight crack image, the second feature quantity is expressed as a shape feature quantity.

[0054] The similarity between the first feature quantity and the second feature quantity corresponding to the initial parameter of the cosine similarity calculation formula is calculated, and the fourth value is set as the similarity threshold. The similarity is compared 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. The corresponding intermediate parameter is set as the target parameter, that is, the preset parameter after adjustment. When the similarity corresponding to the initial parameter is greater than the fourth value, the first adjustment is not performed.

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

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

[0057] ;

[0058] Among them, F is the critical impact force, m is the weight of the hammer, v is the initial velocity of the hammer, and d is the distance between the 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] The critical impact force of the material of each material parameter under any instruction is obtained, and a multiple regression analysis is performed with the critical impact force as the dependent variable and the material parameter as the independent variable, and the coefficient of the material parameter under the multiple regression analysis is set as the corresponding first weight.

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

[0063]

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

[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~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, and then divide both sides of the added equation by 3 to obtain a comprehensive impact force equation.

[0070] Through averaging processing, the impact force effects under different instructions are combined. By integrating the impact force equations under multiple instructions, the influence of different parameters (such as hammer weight, speed, and distance) on the impact force is comprehensively considered, making the results more representative. The impact force equations under different instructions are efficiently integrated to provide a comprehensive and reliable tool for the impact resistance performance evaluation 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 material parameter, and j represents the preset parameter after adjustment. It is the comprehensive expression of the fused first impact force equations.

[0074] Through step-by-step control and image analysis, the present invention can accurately determine the critical impact velocity and impact force of the material, improve detection accuracy, adapt to various test conditions (such as different impact angles, contact areas, etc.), and can comprehensively evaluate 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. Compared with traditional methods, this method reduces human errors and improves detection efficiency through automated control and image analysis.

[0075] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code. The storage medium may be 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 storage, flash memory, magnetic disk, or optical disk. These computer program instructions may 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 an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

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

Claims

1. A method for testing the impact resistance of building materials, characterized in that: The following steps are involved: Step S100, performing a first impact test according to preset parameters, sending a first adjustment signal based on the material image after the first test, performing a first adjustment on the preset parameters based on the first adjustment signal, and obtaining a critical impact velocity based on the material image corresponding to the preset parameters after the first adjustment, wherein the adjustment is performed under the premise that the first adjustment is represented as a control variable; Step S200, calculating a critical impact force according to a critical impact velocity, calculating a first weight according to a material parameter, and constructing a first impact force equation according to the first weight, a first adjusted preset parameter, and the critical impact force; Step S300, fusing the first impact force equations to obtain a comprehensive impact force equation; The preset parameters include the weight of the hammer, the distance between the hammer and the material, and the initial speed of the hammer; Extracting a knowledge graph of the crane based on a pre-determined model of the crane to be operated, and obtaining an operator request instruction, wherein the operator request instruction includes a first instruction, a second instruction, and a 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 of the crane; The first test includes a first instruction test, a second instruction test and a third instruction test, and the test logics correspond to the knowledge spectrum of the crane respectively.

2. A method for testing the impact resistance of building materials according to claim 1, characterized in that: The knowledge spectrum of the crane is represented as follows: When executing the first instruction, the first value is used as a gradient, the first weight is used as the initial weight, the first weight is cyclically increased by the first value as the intermediate weight, the distance between the weight and the material is set to the first distance, the initial speed of the weight is set to the first speed, the weight is released, and the first instruction is stopped until the critical impact force is reached; When executing the second instruction, the second value is used as a gradient, the first distance is used as the initial distance, the first distance is cyclically increased by the second value to form an intermediate distance, the weight of the hammer is set to the first weight, the initial speed of the hammer is set to the first speed, the hammer is released, and the second instruction is stopped when the critical impact force is reached; When executing the third instruction, take the third value as the gradient, take the first speed as the initial speed, use the first speed cycle to cumulatively increase the speed of the third value as the intermediate speed, set the weight of the weight to the first weight, set the distance between the weight and the material to the first distance, release the weight, and stop the third instruction until the critical impact force is reached.

3. A method for testing the impact resistance of building materials according to claim 1, characterized in that: Select the initial parameters and intermediate parameters under any instruction, obtain the material surface images under the initial parameters and intermediate parameters respectively, extract the first feature quantity 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 slight crack image, the second feature quantity is expressed as a shape feature quantity.

4. A method for testing the impact resistance of building materials according to claim 3, characterized in that: The similarity between the first feature quantity and the second feature quantity corresponding to the initial parameter of the cosine similarity calculation formula is calculated, and the fourth value is set as the similarity threshold. The similarity is compared 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. The corresponding intermediate parameter is set as the target parameter, that is, the preset parameter after adjustment. When the similarity corresponding to the initial parameter is greater than the fourth value, the first adjustment is not performed.

5. A method for testing the impact resistance of building materials according to claim 1, characterized in that: The calculation expression of critical impact force is: ； Among them, F is the critical impact force, m is the weight of the hammer, v is the initial velocity of the hammer, and d is the distance between the hammer and the material.

6. A method for testing the impact resistance of building materials 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: The critical impact force of the material of each material parameter under any instruction is obtained, and a multiple regression analysis is performed with the critical impact force as the dependent variable and the material parameter as the independent variable, and the coefficient of the material parameter under the multiple regression analysis is set as the corresponding first weight.

7. A method for testing the impact resistance of building materials 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~c4 are the first weights corresponding to density, elastic modulus, Poisson's ratio and thickness respectively.

8. A method for testing the impact resistance of building materials according to claim 1, characterized in that: 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, and then divide both sides of the added equation by 3 to obtain a comprehensive impact force equation.

9. A method for testing the impact resistance of building materials according to claim 8, 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 material parameter, and j represents the preset parameter after adjustment. It is the comprehensive expression of the fused first impact force equations.

Images