Waste steel member reuse performance evaluation method based on mechanical property quantification

Abstract

The invention relates to the field of sustainable design of building steel structures, and particularly discloses a waste steel component reusability evaluation method based on mechanical property quantification, which comprises the following steps: S1, developing a target component reusability evaluation system based on actually measured performance parameters; after the development of the evaluation system is completed, an operator can obtain performance parameters by testing a target component, and finally, the reusability evaluation of the component is completed by using the developed system, and the method comprises the following specific steps: S2, obtaining the geometric configuration of the to-be-evaluated target component by using three-dimensional scanning equipment; s3, measuring the vibration response of the to-be-evaluated component under specific excitation by using a modal test device; s4, acquiring strength information of the to-be-evaluated steel member by using a material property detection technology; and S5, the developed system evaluates the reusability grade of the waste steel member by integrating the actually-measured performance parameters, wherein the actually-measured performance parameters comprise geometric defects, natural vibration characteristics, damage factors and material strength.

Description

Technical Field

[0001] The present invention relates to the field of sustainable design of building steel structures, and more specifically, to a method for evaluating the reuse performance of waste steel components based on the quantification of mechanical properties. Background Art

[0002] The study of the disassembly and reusability of long-term service steel structures is of great significance. The reuse of steel can effectively solve the problem of air pollution and reduce carbon emissions, and at the same time bring significant economic benefits to engineering project management.

[0003] However, there is a lack of reliable and practical conventional methods for evaluating the reusability of disassembled steel components. Disassembled steel components have significant geometric defects, complex material properties, and unknown initial stress states. These factors make it often unreliable to evaluate their reusability through a single method, and it is necessary to rely on a comprehensive analysis method to give the reusability of the component. In addition, the performance evaluation method is implemented by engineering management personnel, and the feasibility and applicability of the method are also important challenges. Therefore, integrating multiple detection and data analysis technologies to propose a comprehensive evaluation method that can accurately evaluate and quantify the reusability of scrap steel components and simplify the actual operation of project managers is of great significance to the sustainability and economy of construction projects.

[0004] In view of this, the present invention provides a method for evaluating the reuse performance of scrap steel components based on the quantification of mechanical properties to solve the above problems. Summary of the invention

[0005] In order to overcome the problems in the prior art, the present invention proposes a method for evaluating the reuse performance of scrap steel components based on the quantification of mechanical properties. Multi-technology integration is used as the method framework to quantify the performance parameters of the evaluated components from the perspectives of geometric defects, vibration response and steel performance parameters, and the reusability evaluation of the components is achieved according to a predefined grading guide.

[0006] In a first aspect, the present invention provides a method for evaluating the reuse performance of scrap steel components based on the quantification of mechanical properties, comprising the following steps:

[0007] S1: Develop a target component reusability evaluation system based on measured performance parameters;

[0008] After the development of the evaluation system is completed, the operator can obtain performance parameters by testing the target component, and finally use the developed system to complete the reusability evaluation of the component. The specific steps are as follows:

[0009] S2: Acquire the geometric configuration of the target component to be evaluated using a three-dimensional scanning device;

[0010] S3: Use a modal test device to measure the vibration response of the component to be evaluated under a specific excitation;

[0011] S4: Use material property testing technology to obtain the strength information of the steel component to be evaluated;

[0012] S5: The developed system evaluates the reusability classification of scrap steel components based on measured performance parameters, including geometric defects, self-vibration characteristics and damage factors, and material strength.

[0013] As a preferred technical solution of the first aspect of the present invention, the evaluation system development needs and the corresponding process include the following steps:

[0014] Step S11: creating a geometric defect extraction module for quantifying configuration deviation based on three-dimensional reconstruction technology;

[0015] Step S12: creating a function module for identifying self-vibration characteristics and damage factors based on vibration response signal analysis;

[0016] Step S13: creating a steel strength quantification module for analyzing material nondestructive testing test results;

[0017] Step S14: Create a reusability rating module based on sensitivity analysis and comprehensive evaluation methods.

[0018] As a preferred technical solution of the first aspect of the present invention, when developing a geometric defect extraction module, the cross-sectional deviation [Δx, Δy, Δz, θ] of the steel member is used as the defect index to be extracted, where Δx, Δy, Δz represent the coordinate offset of the centroid of the cross-sectional area, and θ represents the cross-sectional torsion angle, which is the torsion angle of each cross-sectional area of ​​the member along the length of the beam relative to the end.

[0019] As a preferred technical solution of the first aspect of the present invention, the evaluation logic of the geometric defects of the target component is:

[0020] Perform high-precision 3D point cloud scanning on the target component to be evaluated to obtain its precise geometric shape;

[0021] The scanned geometry is input into the component reusability evaluation system.

[0022] Automatically call the system function of the geometric defect extraction module to complete the quantification of geometric defect indicators

[0023] The random sampling consistency algorithm of the geometric defect extraction module is used to reduce the noise of the scanning results, and the Poisson surface reconstruction algorithm is used to achieve geometric reconstruction of the point cloud;

[0024] The geometric configuration comparison algorithm of the module is used to generate the geometric deviation distribution of the component, and the geometric defect index of the component is further calculated through the nearest neighbor search algorithm;

[0025] The area of ​​the closed shape composed of each sub-section point cloud is automatically calculated, compared with the standard section area, and the section reduction factor of the component is calculated.

[0026] As a preferred technical solution of the first aspect of the present invention, the analysis logic of the vibration response signal is:

[0027] Fix the steel component with a fixture, determine the location of the acceleration measurement point according to the component size, install the acceleration sensor at the corresponding measurement point, perform the modal test and record the vibration response;

[0028] The measured vibration response is input into the evaluation system, and the system functions of the self-vibration characteristics and damage factor identification modules are automatically called to obtain performance indicators.

[0029] The modal parameters of the measured signal are identified by the modal analysis algorithm, and the fundamental period and frequency response function of the component are further determined by the self-vibration characteristic analysis algorithm;

[0030] The measured vibration response and frequency response function are jointly input into the damage identification recurrent neural network of this module to determine the damage factors of the component that cannot be directly observed.

[0031] As a preferred technical solution of the first aspect of the present invention, the steel strength quantification module includes a strength test result processing algorithm;

[0032] The yield strength of steel is determined by the indentation method, and the ultimate strength of steel is determined by the Leeb hardness method;

[0033] Select a suitable indenter according to the size of the component, and use a load-recording indenter to press the indenter into the specified position of the component. After unloading, measure the indentation depth, repeat the above test steps and record the measured data. Import the measured data into the evaluation system, and automatically call the analysis algorithm of the steel strength quantification module to determine the steel yield strength.

[0034] Calibrate the Leeb hardness tester, place the impact device vertically on the steel surface to be tested, ensure that the impact head is in full contact with the surface, activate the impact device to perform the impact, read the impact velocity and rebound velocity of the impact head, repeat the above experimental steps and record the measured data; import the measured data into the evaluation system, and the system will automatically call the analysis algorithm of the steel strength quantification module to determine the ultimate strength of the steel.

[0035] As a preferred technical solution of the first aspect of the present invention, the processing and analysis of the measured performance parameters are completed by evaluating the preset system functions in the system:

[0036] The geometric defect extraction module is used to obtain the values ​​of the defect indicators [Δx, Δy, Δz, θ] of the component from the three-dimensional scanning configuration; the signal processing algorithm is used to obtain the modal parameters from the measured vibration response and analyze the self-vibration characteristics and damage factors of the target component; the steel strength quantification module is used to convert the measured parameters into the yield strength and ultimate strength of the steel;

[0037] All measured performance parameters are summarized and input into the system's reusability rating module. The system automatically evaluates the reusability level of steel components using a grading guide. Based on the evaluated reusability level, the system terminal automatically determines whether the scrap steel component is reusable and generates corresponding instructions.

[0038] In a second aspect, the present invention provides a waste steel component reuse performance evaluation system based on mechanical property quantification. Based on the implementation of the first aspect, the evaluation system includes a geometric defect extraction module, a self-vibration characteristic and damage factor identification module, a steel strength quantification module and a reusability rating module;

[0039] A geometric defect extraction module determines the geometric defects of a target component by analyzing the geometric component information of the target component through an algorithm for quantifying geometric defects;

[0040] The self-vibration characteristic and damage factor identification module extracts the self-vibration characteristic information and damage factor to be identified based on the measured vibration response signal;

[0041] Steel strength quantification module, which analyzes the material strength of target components based on the material property-oriented non-destructive testing test results;

[0042] The reusability rating module builds a damage rating guide based on the target component performance analysis database, takes geometric defects, natural vibration characteristics and damage factors and material strength as measured performance parameters, and determines the component reusability rating through analysis of the measured performance parameters using the damage rating guide.

[0043] In a third aspect, the present invention provides a test device for evaluating the reuse performance of scrap steel components, based on the implementation of the first aspect, comprising a clamping device, a modal test device and a data processing terminal;

[0044] The clamping and fixing device comprises an upper clamping plate and a lower clamping plate, wherein a top pad and an upper clamping plate slideway are arranged at the bottom of the upper clamping plate, and a bottom pad and a lower clamping plate slideway are arranged at the bottom of the lower clamping plate, and a target component is clamped and fixed between the upper clamping plate slideway and the lower clamping plate slideway;

[0045] The modal test device includes an acceleration sensor set on the target component, where the acceleration sensor collects the vibration response signal through the vibration response signal collector, and sends out the excitation signal through the signal generator, signal amplifier and exciter. In the state, the target component is subjected to three-dimensional scanning and material property testing;

[0046] The detected measured performance parameters are used for component reusability rating analysis through the data processing terminal.

[0047] In a fourth aspect, the present invention provides an electronic device, comprising:

[0048] at least one processor; and,

[0049] A memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor so that the at least one processor can execute the second aspect.

[0050] The specific advantages of the present invention are as follows:

[0051] 1. The present invention has more reliable evaluation conclusions based on multiple measured performance parameters, and can provide a strong basis and reliable service for the recycling of components of existing steel structures;

[0052] 2. The target component reusability evaluation system has the characteristics of highly integrated functions and versatility. The operator can apply the method proposed in the present invention by only performing geometric scanning, modal testing and material property testing on the component to be evaluated according to the method description;

[0053] 3. All tests on target components are non-destructive tests, which will not affect their mechanical properties and improve the recovery rate of components;

[0054] 4. The reuse of target components is achieved through reusable performance evaluation, which not only meets the sustainability requirements of building structure design, but also provides new ideas for the demolition and reconstruction of existing steel structures. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 A system architecture diagram of a target component reusable performance evaluation system provided by an embodiment of the present invention;

[0056] Figure 2 A flowchart of the development and application of a reusable performance service for scrap steel components provided by an embodiment of the present invention;

[0057] Figure 3 A flowchart of a reusable performance evaluation system for a development target component provided by an embodiment of the present invention;

[0058] Figure 4 A flowchart of the practice of evaluating the reusability of scrap steel components based on measured performance parameters according to an embodiment of the present invention;

[0059] Figure 5 Schematic diagram of a test device and components for carrying out geometric scanning, modal testing and material property testing according to an embodiment of the present invention. DETAILED DESCRIPTION

[0060] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] Example 1: Please refer to Figure 1-4 The present invention provides a technical solution: a method for evaluating the reuse performance of scrap steel components based on the quantification of mechanical properties, comprising the following steps:

[0062] S1: Develop a target component reusability evaluation system based on measured performance parameters;

[0063] Specifically, the evaluation system includes the development of an integrated system with geometric defect quantification, self-vibration characteristics and damage identification, steel strength determination and component reusability rating. According to the development needs of the evaluation system and its corresponding process, the following steps are included:

[0064] Step S11: creating a geometric defect extraction module for quantifying configuration deviation based on three-dimensional reconstruction technology;

[0065] The geometric defect extraction module includes scanning point cloud denoising, point cloud geometry reconstruction, geometric deviation identification and defect quantification;

[0066] Choose to implement random sampling consistency algorithm to process scan data to achieve noise reduction function;

[0067] Perform point cloud geometry reconstruction of scanned point clouds by implementing a Poisson surface reconstruction algorithm;

[0068] Implementing a geometry comparison algorithm to automatically generate an ideal component geometry and compare it with the reconstructed geometry to determine the deviation distribution;

[0069] The geometric defect index [Δx, Δy, Δz, θ] is calculated by traversing the deviation distribution through the nearest neighbor search algorithm, where Δx, Δy, Δz represent the coordinate offset of the cross-section centroid and θ represents the cross-section torsion angle, which is the torsion angle of each cross section relative to the end of the component along the length of the beam. At the same time, an analysis algorithm for automatically calculating the cross-sectional area reduction rate of the component is added to the geometric defect extraction module.

[0070] Step S12: creating a function module for identifying self-vibration characteristics and damage factors based on vibration response signal analysis;

[0071] The self-vibration characteristics and damage factor identification module includes modal analysis algorithm, self-vibration characteristics analysis algorithm and damage identification network based on vibration response;

[0072] The modal analysis algorithm is the variational modal decomposition method, which automatically processes the vibration response signal into the fundamental frequency and its corresponding eigenmode;

[0073] The self-vibration characteristic analysis algorithm extracts the fundamental period from the decomposed mode and obtains the frequency response function using the excitation signal and the vibration response;

[0074] The implemented damage identification network is a recurrent neural network with the measured vibration response signal and frequency response function as joint input and the damage category / degree as output.

[0075] Step S13: creating a steel strength quantification module for analyzing material nondestructive testing test results;

[0076] Specifically, the steel strength quantification module includes a strength test result processing algorithm;

[0077] The yield strength of steel is determined by the indentation method, and the ultimate strength of steel is determined by the Leeb hardness method.

[0078] More specifically, for the test results of the indentation method, the developed algorithm uses Formula 1 to automatically convert the test results to the yield strength; for the test results of the Leeb hardness method, the developed algorithm uses Formula

[0079] Formula 2 realizes the automatic conversion of test results to ultimate strength.

[0080]

[0081]

[0082] R is the radius of the indenter in the indentation test, h is the indentation depth, a is the contact radius of the indenter, C is the conversion coefficient taken as 3.0, P is the indentation load, σ y is the yield strength of steel.

[0083]

[0084] σ u =k×HL(2b)

[0085] v r is the rebound velocity of the impact head in the impact test, v i is the impact velocity of the impact head, HL is the Leeb hardness value, k is the material coefficient, which is 0.35 for carbon steel, σ u The ultimate strength of steel.

[0086] It should be noted that according to the Steel Structure Design Regulations, when formulating the mechanical properties of steel materials, the yield strength and ultimate strength of steel after long-term service are selected as mechanical properties indicators.

[0087] Step S14: Creating a reusability rating module based on sensitivity analysis and comprehensive evaluation methods;

[0088] The reusability rating module includes the development of a target component performance analysis database, the quantification of the impact of each indicator on the component reusability performance, and the generation of a rating guide, including:

[0089] Analysis database development refers to collecting target component performance test cases and establishing corresponding finite element models.

[0090] The process of generating a target component performance analysis database containing a large number of samples through parameter analysis;

[0091] The database is evaluated based on the sensitivity analysis method and the impact of each key indicator on the reusability of components is quantified. Based on the analysis results, a rating guide for comparison with the measured performance parameters is formed by cluster analysis.

[0092] It should be noted that: target component performance test cases are collected in the target component performance analysis database, simulation experiments are carried out on the target component performance test cases, and the test data after the simulation experiment is used as analysis samples. Based on the analysis samples, a priori database is constructed to determine the impact of each measured performance indicator on the reusability of the component through sensitivity analysis.

[0093] After the development of the evaluation system is completed, the operator can obtain performance parameters by testing the target component and input the measured information into the developed system to complete the component reusability evaluation, including the following steps:

[0094] S2: Acquire the geometric configuration of the target component to be evaluated using a three-dimensional scanning device;

[0095] Perform high-precision 3D point cloud scanning on the target component to be evaluated to obtain its precise geometric shape;

[0096] The scanned geometry is input into the component reusability evaluation system.

[0097] Automatically call the system function of the geometric defect extraction module to complete the quantification of geometric defect indicators

[0098] The random sampling consistency algorithm of the geometric defect extraction module is used to reduce the noise of the scanning results, and the Poisson surface reconstruction algorithm is used to achieve geometric reconstruction of the point cloud;

[0099] The geometric configuration comparison algorithm of the module is used to generate the geometric deviation distribution of the component, and the geometric defect index of the component is further calculated through the nearest neighbor search algorithm;

[0100] The area of ​​the closed shape composed of each sub-section point cloud is automatically calculated, compared with the standard section area, and the section reduction factor of the component is calculated.

[0101] S3: Using a modal test device to measure the vibration response signal of the component to be evaluated under a specific excitation;

[0102] Specifically, the steel component is fixed by a fixture, the position of the acceleration measurement point is determined according to the component size, the acceleration sensor is installed at the corresponding measurement point, the modal test is performed and the vibration response is recorded;

[0103] The measured vibration response is input into the evaluation system, and the system functions of the self-vibration characteristics and damage factor identification modules are automatically called to obtain performance indicators.

[0104] The modal parameters of the measured signal are identified by the modal analysis algorithm, and the fundamental period and frequency response function of the component are further determined by the self-vibration characteristic analysis algorithm;

[0105] The measured vibration response and frequency response function are jointly input into the damage identification recurrent neural network of this module to determine the damage factors of the component that cannot be directly observed.

[0106] S4: obtaining strength information of the steel component to be evaluated by material property testing technology, wherein the strength information of the steel component includes the yield strength and ultimate strength of the steel;

[0107] Specifically, a suitable indenter is selected according to the size of the component, and a pressing device that can record the load is used to press the indenter into the specified position of the component. After unloading, the pressing depth is measured, and the above test steps are repeated and the measured data is recorded. The measured data is imported into the evaluation system, and the analysis algorithm of the steel strength quantification module is automatically called to determine the yield strength of the steel.

[0108] Calibrate the Leeb hardness tester, place the impact device vertically on the steel surface to be tested, ensure that the impact head is in full contact with the surface, activate the impact device to perform the impact, read the impact velocity and rebound velocity of the impact head, repeat the above experimental steps and record the measured data; import the measured data into the evaluation system, and the system will automatically call the analysis algorithm of the steel strength quantification module to determine the ultimate strength of the steel.

[0109] S5: The developed system evaluates the reusability classification of scrap steel components based on measured performance parameters, including geometric defects, self-vibration characteristics and damage factors, and material strength;

[0110] Specifically, the processing and analysis of the measured performance parameters are completed by evaluating the system functions preset in the system:

[0111] The geometric defect extraction module is used to obtain the values ​​of the defect indicators [Δx, Δy, Δz, θ] of the component from the three-dimensional scanning configuration; the signal processing algorithm is used to obtain the modal parameters from the measured vibration response and analyze the self-vibration characteristics and damage factors of the target component; the steel strength quantification module is used to convert the measured parameters into the yield strength and ultimate strength of the steel;

[0112] All measured performance parameters are summarized and input into the system's reusability rating module. The system automatically evaluates the reusability level of steel components using a grading guide. Based on the evaluated reusability level, the system terminal automatically determines whether the scrap steel component is reusable and generates corresponding instructions.

[0113] Embodiment 2, as Figure 3 As shown, the part not described in detail in this embodiment is as shown in Example 1. This embodiment provides a waste steel component reuse performance evaluation system based on mechanical property quantification, and the evaluation system includes a geometric defect extraction module, a self-vibration characteristic and damage factor identification module, a steel strength quantification module and a reusability rating module;

[0114] The geometric defect extraction module determines the geometric defects of the target component by analyzing the geometric component information of the target component through an algorithm for quantifying geometric defects.

[0115] Specifically, the geometric component information of the target component is extracted based on the 3D scanning technology, and the pre-set geometric defect extraction algorithm determines the quantitative index of the deviation of the target component from the ideal design shape; the geometric component information of the target component is compared with the ideal geometric configuration of the component to determine the geometric defects;

[0116] The self-vibration characteristic and damage factor identification module extracts the self-vibration characteristic information and damage factor to be identified based on the measured vibration response signal;

[0117] It should be noted that the self-vibration characteristic information includes the self-vibration period and the frequency response function, and the dynamic inherent characteristics of the target component are characterized based on the self-vibration characteristic information; the damage factor is used to quantify the damage index of the target component that cannot be directly observed;

[0118] Steel strength quantification module, which analyzes the material strength of target components based on the material property-oriented non-destructive testing test results;

[0119] The reusability rating module builds a damage rating guide based on the target component performance analysis database, takes geometric defects, natural vibration characteristics and damage factors and material strength as measured performance parameters, and determines the component reusability rating through analysis of the measured performance parameters using the damage rating guide.

[0120] It should be noted that: geometric defects are quantified by performing three-dimensional scanning on the components and relying on the defect extraction module of the evaluation system, the vibration response is obtained by performing modal tests on the components, and the material property changes are the changes in the mechanical properties of steel after long-term service determined by non-destructive testing technology; determining the reusability of the target component refers to the process in which the evaluation system determines the reusability level of the component from the rating guide based on the measured performance parameters and forms an availability decision for the component.

[0121] Example 3: Figure 5As shown, the part not described in detail in this embodiment is as shown in Example 1. This embodiment provides a test device for evaluating the reuse performance of scrap steel components, including a clamping device, a modal test device and a data processing terminal 13;

[0122] The clamping and fixing device comprises an upper clamping plate 1 and a lower clamping plate 3, wherein a top pad 2 and an upper clamping plate slideway 5 are arranged at the bottom of the upper clamping plate 1, a bottom pad 4 and a lower clamping plate slideway 6 are arranged at the bottom of the lower clamping plate 3, and a target component 8 is clamped and fixed between the upper clamping plate slideway 5 and the lower clamping plate slideway 6;

[0123] The modal test device includes an acceleration sensor 7 arranged on a target component 8, wherein the acceleration sensor 7 collects a vibration response signal through a vibration response signal collector 12, and sends an excitation signal through a signal generator 9, a signal amplifier 10 and an exciter 11. In the state, the target component 8 is subjected to three-dimensional scanning and material property detection.

[0124] The detected actual performance parameters are subjected to component reusability rating analysis through the data processing terminal 13, which specifically includes the following steps:

[0125] First, a reusability evaluation system is developed for the target component 8 at the data processing terminal 13, as follows;

[0126] S1: Develop an evaluation system based on measured performance parameters, using the measured performance parameters as input factors of the evaluation system and the reusability classification data as output factors;

[0127] Specifically, the measured performance parameters include geometric defect data, vibration response signals and steel performance parameters; the evaluation system is used to evaluate the reusability of the target component, and the target component is a scrap steel component;

[0128] Geometric defect data is obtained by performing a three-dimensional scan of the target component and extracting quantitative data based on the defects of the evaluation system.

[0129] The vibration response signal is obtained by performing modal tests on the components.

[0130] Steel performance parameters are the changes in mechanical properties of steel after long-term service determined by non-destructive testing technology;

[0131] The target component reusability refers to the process of evaluating the system, determining the reusability level of the component from the rating guide according to the measured performance parameters, and forming an availability decision for the component.

[0132] After the development of the evaluation system is completed, operators can obtain performance parameters by testing the target components, and finally use the developed system to comprehensively measure the performance parameters to give the reusability grade of the scrap steel components.

[0133] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

[0134] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for evaluating the reuse performance of scrap steel components based on the quantification of mechanical properties, characterized in that: The following steps are involved: S1: Develop a target component reusability evaluation system based on measured performance parameters; S2: Acquire the geometric configuration of the target component to be evaluated using a three-dimensional scanning device; S3: Use a modal test device to measure the vibration response of the component to be evaluated under a specific excitation; S4: Use material property testing technology to obtain the strength information of the steel component to be evaluated; S5: The developed system evaluates the reusability classification of scrap steel components based on measured performance parameters, including geometric defects, self-vibration characteristics and damage factors, and material strength.

2. The method for evaluating the reuse performance of scrap steel components based on mechanical property quantification according to claim 1 is characterized in that: Evaluate system development needs and their corresponding processes, including the following steps: Step S11: creating a geometric defect extraction module for quantifying configuration deviation based on three-dimensional reconstruction technology; Step S12: creating a function module for identifying self-vibration characteristics and damage factors based on vibration response signal analysis; Step S13: creating a steel strength quantification module for analyzing material nondestructive testing test results; Step S14: Create a reusability rating module based on sensitivity analysis and comprehensive evaluation methods.

3. The method for evaluating the reuse performance of scrap steel components based on mechanical property quantification according to claim 2 is characterized in that: When the geometric defect extraction module is developed, the cross-sectional deviation [Δx, Δy, Δz, θ] of the steel component is used as the defect index to be extracted, where Δx, Δy, Δz represent the coordinate offset of the centroid of the cross section, and θ represents the cross-sectional torsion angle, which is the torsion angle of each cross section of the component along the length of the beam relative to the end.

4. The method for evaluating the reuse performance of scrap steel components based on mechanical property quantification according to claim 3 is characterized in that: Evaluation logic of geometric defects of target components: Perform high-precision 3D point cloud scanning on the target component to be evaluated to obtain its precise geometric shape; The scanned geometry is input into the component reusability evaluation system. Automatically call the system function of the geometric defect extraction module to complete the quantification of geometric defect indicators The random sampling consistency algorithm of the geometric defect extraction module is used to reduce the noise of the scanning results, and the Poisson surface reconstruction algorithm is used to achieve geometric reconstruction of the point cloud; The geometric configuration comparison algorithm of the module is used to generate the geometric deviation distribution of the component, and the geometric defect index of the component is further calculated through the nearest neighbor search algorithm; The area of ​​the closed shape composed of each sub-section point cloud is automatically calculated, compared with the standard section area, and the section reduction factor of the component is calculated.

5. The method for evaluating the reuse performance of scrap steel components based on mechanical property quantification according to claim 4 is characterized in that: Analysis logic of vibration response signal: Fix the steel component with a fixture, determine the location of the acceleration measurement point according to the component size, install the acceleration sensor at the corresponding measurement point, perform the modal test and record the vibration response; The measured vibration response is input into the evaluation system, and the system functions of the self-vibration characteristics and damage factor identification modules are automatically called to obtain performance indicators. The modal parameters of the measured signal are identified by the modal analysis algorithm, and the fundamental period and frequency response function of the component are further determined by the self-vibration characteristic analysis algorithm; The measured vibration response and frequency response function are jointly input into the damage identification recurrent neural network of this module to determine the damage factors of the component that cannot be directly observed.

6. The method for evaluating the reuse performance of scrap steel components based on mechanical property quantification according to claim 5 is characterized in that: The steel strength quantification module includes strength test result processing algorithms; The yield strength of steel is determined by the indentation method, and the ultimate strength of steel is determined by the Leeb hardness method; Select a suitable indenter according to the size of the component, and use a load-recording indenter to press the indenter into the specified position of the component. After unloading, measure the indentation depth, repeat the above test steps and record the measured data. Import the measured data into the evaluation system, and automatically call the analysis algorithm of the steel strength quantification module to determine the steel yield strength. Calibrate the Leeb hardness tester, place the impact device vertically on the steel surface to be tested, ensure that the impact head is in full contact with the surface, activate the impact device to perform the impact, read the impact velocity and rebound velocity of the impact head, repeat the above experimental steps and record the measured data; import the measured data into the evaluation system, and the system will automatically call the analysis algorithm of the steel strength quantification module to determine the ultimate strength of the steel.

7. The method for evaluating the reuse performance of scrap steel components based on mechanical property quantification according to claim 6 is characterized in that: The processing and analysis of the measured performance parameters are completed by evaluating the system functions preset in the system: The geometric defect extraction module is used to obtain the values ​​of the defect indicators [Δx, Δy, Δz, θ] of the component from the three-dimensional scanning configuration; the signal processing algorithm is used to obtain the modal parameters from the measured vibration response and analyze the self-vibration characteristics and damage factors of the target component; the steel strength quantification module is used to convert the measured parameters into the yield strength and ultimate strength of the steel; All measured performance parameters are summarized and input into the system's reusability rating module. The system automatically evaluates the reusability level of steel components using a grading guide. Based on the evaluated reusability level, the system terminal automatically determines whether the scrap steel component is reusable and generates corresponding instructions.

8. A system for evaluating the reuse performance of scrap steel components based on mechanical property quantification, based on the implementation of a method for evaluating the reuse performance of scrap steel components based on mechanical property quantification according to any one of claims 1 to 7, characterized in that: The evaluation system includes a geometric defect extraction module, a self-vibration characteristic and damage factor identification module, a steel strength quantification module and a reusability rating module; A geometric defect extraction module determines the geometric defects of a target component by analyzing the geometric component information of the target component through an algorithm for quantifying geometric defects; The self-vibration characteristic and damage factor identification module extracts the self-vibration characteristic information and damage factor to be identified based on the measured vibration response signal; Steel strength quantification module, which analyzes the material strength of target components based on the material property-oriented non-destructive testing test results; The reusability rating module builds a damage rating guide based on the target component performance analysis database, takes geometric defects, natural vibration characteristics and damage factors and material strength as measured performance parameters, and determines the component reusability rating through analysis of the measured performance parameters using the damage rating guide.

9. A test device for evaluating the reuse performance of scrap steel components, based on the implementation of a method for evaluating the reuse performance of scrap steel components based on mechanical property quantification according to any one of claims 1 to 7, characterized in that: It includes a clamping device, a modal test device and a data processing terminal (13); A clamping and fixing device comprises an upper clamping plate (1) and a lower clamping plate (3); a top-layer pad (2) and an upper clamping plate slideway (5) are arranged at the bottom of the upper clamping plate (1); a bottom-layer pad (4) and a lower clamping plate slideway (6) are arranged at the bottom of the lower clamping plate (3); a target component (8) is clamped and fixed between the upper clamping plate slideway (5) and the lower clamping plate slideway (6); The modal test device comprises an acceleration sensor (7) arranged on a target component (8), wherein the acceleration sensor (7) collects a vibration response signal through a vibration response signal collector (12), and sends an excitation signal through a signal generator (9), a signal amplifier (10) and an exciter (11), and in this state, the target component (8) is subjected to three-dimensional scanning and material property detection; The detected actual performance parameters are used for component reusability rating analysis via a data processing terminal (13).

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