Fabricated building structure performance evaluation method and device based on model correction

Abstract

The invention relates to an assembly type building structure performance evaluation method and device based on model correction. The method comprises the steps of obtaining structural layout features and a finite element model of the fabricated building structure, and generating a full-scale experiment scheme of the fabricated building structure based on the structural layout features; vibration signals of the fabricated building structure are collected and subjected to modal parameter recognition processing, and modal parameter information of the fabricated building structure is obtained; and based on the modal parameter information and the finite element model, identifying a mapping relationship between the modal parameter information and the structure service performance parameters of the fabricated building structure, and based on the mapping relationship, adjusting to obtain a response surface model of the fabricated building structure, and performing inversion processing on the response surface model to obtain the structure parameters of the fabricated building structure. And performing performance evaluation processing on the fabricated building structure to obtain structural performance information of the fabricated building structure. By adopting the method, the accuracy of evaluating the performance of the fabricated building structure can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of structural service performance, and in particular to a method and device for evaluating the performance of prefabricated building structures based on model correction. Background Art

[0002] Structural service performance refers to the performance of a structure during its service life, which usually includes the following aspects: strength, durability, stability, safety, comfort, etc. Structural service performance is an important factor that needs to be considered during the design of the structure. At the same time, the service performance of the building structure is also an indicator that needs to be paid attention to in structural health testing. The damage to the structure will also affect the service performance of the building structure. Therefore, how to improve the accuracy of the evaluation of structural service performance is the main research direction for evaluating the performance of prefabricated building structures.

[0003] The traditional method of evaluating the performance of prefabricated building structures is to obtain the material parameters and geometric parameters of the structure through experiments or calculations, and then manually analyze the service performance of the structure based on the material parameters and geometric parameters. However, this method is time-consuming and costly to obtain the material parameters and geometric parameters, and is affected by environmental factors, resulting in low accuracy in the evaluated performance of prefabricated building structures. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for evaluating the performance of prefabricated building structures based on model correction in order to address the above technical problems.

[0005] In a first aspect, the present application provides a method for evaluating the performance of prefabricated building structures based on model correction, comprising:

[0006] Acquire structural layout features of the prefabricated building structure and a finite element model of the prefabricated building structure, and generate a full-scale experimental plan for the prefabricated building structure based on the structural layout features;

[0007] Collecting the vibration signal of the prefabricated building structure obtained based on the full-scale experimental scheme, and performing modal parameter identification processing on the vibration signal to obtain modal parameter information of the prefabricated building structure;

[0008] Based on the modal parameter information and the finite element model, identifying a mapping relationship between the modal parameter information and a structural service performance parameter of the prefabricated building structure, and adjusting the finite element model based on the mapping relationship to obtain a response surface model of the prefabricated building structure;

[0009] The response surface model is subjected to structural performance inversion processing to obtain structural parameters of the prefabricated building structure, and based on the structural parameters and the full-scale experimental scheme, the prefabricated building structure is subjected to performance evaluation processing to obtain structural performance information of the prefabricated building structure.

[0010] Optionally, generating a full-scale experimental plan of the prefabricated building structure based on the structural layout features includes:

[0011] Based on the structural layout characteristics, in the prefabricated building structure, selecting excitation points of the prefabricated building structure, and receiving test results obtained by performing a structural response test at each excitation point;

[0012] Based on the test results corresponding to each of the excitation points, the power sensor data corresponding to each of the excitation points is identified, and based on the power sensor data corresponding to each of the excitation points, the power sensor data distribution processing is performed in the three-dimensional structural model corresponding to the prefabricated building structure to obtain the power sensor distribution information of the prefabricated building structure;

[0013] Based on the power sensor distribution information, each layout point is screened, and based on the power sensor data of each layout point in the power sensor distribution information, a target power sensor corresponding to each layout point and a target excitation mode corresponding to each layout point are screened in an experimental database;

[0014] Based on each deployment point, the target power sensor corresponding to each deployment point, and the target excitation method corresponding to each deployment point, a full-scale experimental plan for the prefabricated building structure is generated.

[0015] Optionally, performing modal parameter identification processing on the vibration signal to obtain modal parameter information of the prefabricated building structure includes:

[0016] Splitting the vibration signal into sub-vibration signals corresponding to each of the deployment points, and identifying the three-dimensional position information of each deployment point in the prefabricated building structure;

[0017] Based on the sub-vibration signals corresponding to each of the layout points and the three-dimensional position information corresponding to each of the layout points, the sub-modal parameter information of each of the layout points is identified through a modal parameter identification algorithm, and the sub-modal parameter information of all the layout points is used as the modal parameter information of the prefabricated building structure.

[0018] Optionally, the identifying, based on the modal parameter information and the finite element model, a mapping relationship between the modal parameter information and a structural service performance parameter of the prefabricated building structure includes:

[0019] Based on the submodal parameter information of each layout point and the finite element model, the structural modal parameter information of the prefabricated building structure is calculated by a dynamic algorithm, and based on the modeling data of the finite element model, the structural service performance parameters of the prefabricated building structure are identified;

[0020] Based on the structural modal parameter information and the structural service performance parameters, a sensitivity analysis process is performed through the finite element model to identify the change response information between each structural modal parameter information and each structural service performance parameter;

[0021] Based on the change response information, a mapping relationship between each structural modal parameter information and each structural service performance parameter is constructed.

[0022] Optionally, adjusting the finite element model based on the mapping relationship to obtain a response surface model of the prefabricated building structure includes:

[0023] Based on the mapping relationship between each structural modal parameter information and each structural service performance parameter, a conversion function between each structural modal parameter information and each structural service performance parameter is generated;

[0024] The response surface model of the prefabricated building structure is constructed by using the conversion function corresponding to each structural modal parameter information and the finite element model.

[0025] Optionally, performing structural performance inversion processing on the response surface model to obtain structural parameters of the prefabricated building structure includes:

[0026] Acquire each measured structural modal parameter information of the prefabricated building structure, and based on each measured structural modal parameter information, identify the measured structural service performance parameter corresponding to each measured structural modal parameter information through a conversion function corresponding to each structural modal parameter information;

[0027] All measured structural service performance parameters are used as structural parameters of the prefabricated building structure.

[0028] Optionally, the performing performance evaluation processing on the prefabricated building structure based on the structural parameters and the full-scale experimental scheme to obtain structural performance information of the prefabricated building structure includes:

[0029] Based on each structural modal parameter information corresponding to the full-scale experimental scheme, identifying the structural service performance parameter corresponding to each structural modal parameter information through a conversion function corresponding to each structural modal parameter information;

[0030] Based on the measured structural service performance parameters of the accessory building structure and the structural service performance parameters of the prefabricated building structure, identifying parameter evaluation information of each structural service performance parameter through a parameter evaluation strategy;

[0031] The parameter evaluation information of all structural service performance parameters is used as the structural performance information of the prefabricated building structure.

[0032] In a second aspect, the present application also provides a device for evaluating the performance of an assembled building structure based on model correction, comprising:

[0033] An acquisition module, used to acquire the structural layout characteristics of the prefabricated building structure and the finite element model of the prefabricated building structure, and generate a full-scale experimental plan of the prefabricated building structure based on the structural layout characteristics;

[0034] an identification module, used to collect the vibration signal of the prefabricated building structure obtained based on the full-scale experimental scheme, and perform modal parameter identification processing on the vibration signal to obtain modal parameter information of the prefabricated building structure;

[0035] An adjustment module is used to identify a mapping relationship between the modal parameter information and a structural service performance parameter of the prefabricated building structure based on the modal parameter information and the finite element model, and adjust the finite element model based on the mapping relationship to obtain a response surface model of the prefabricated building structure;

[0036] An evaluation module is used to perform structural performance inversion processing on the response surface model to obtain structural parameters of the prefabricated building structure, and based on the structural parameters and the full-scale experimental scheme, perform performance evaluation processing on the prefabricated building structure to obtain structural performance information of the prefabricated building structure.

[0037] Optionally, the acquisition module is specifically used to:

[0038] Based on the structural layout characteristics, in the prefabricated building structure, selecting excitation points of the prefabricated building structure, and receiving test results obtained by performing a structural response test at each excitation point;

[0039] Based on the test results corresponding to each of the excitation points, the power sensor data corresponding to each of the excitation points is identified, and based on the power sensor data corresponding to each of the excitation points, the power sensor data distribution processing is performed in the three-dimensional structural model corresponding to the prefabricated building structure to obtain the power sensor distribution information of the prefabricated building structure;

[0040] Based on the power sensor distribution information, each layout point is screened, and based on the power sensor data of each layout point in the power sensor distribution information, a target power sensor corresponding to each layout point and a target excitation mode corresponding to each layout point are screened in an experimental database;

[0041] Based on each deployment point, the target power sensor corresponding to each deployment point, and the target excitation method corresponding to each deployment point, a full-scale experimental plan for the prefabricated building structure is generated.

[0042] Optionally, the identification module is specifically used to:

[0043] Splitting the vibration signal into sub-vibration signals corresponding to each of the deployment points, and identifying the three-dimensional position information of each deployment point in the prefabricated building structure;

[0044] Based on the sub-vibration signals corresponding to each of the layout points and the three-dimensional position information corresponding to each of the layout points, the sub-modal parameter information of each of the layout points is identified through a modal parameter identification algorithm, and the sub-modal parameter information of all the layout points is used as the modal parameter information of the prefabricated building structure.

[0045] Optionally, the adjustment module is specifically used to:

[0046] Based on the submodal parameter information of each layout point and the finite element model, the structural modal parameter information of the prefabricated building structure is calculated by a dynamic algorithm, and based on the modeling data of the finite element model, the structural service performance parameters of the prefabricated building structure are identified;

[0047] Based on the structural modal parameter information and the structural service performance parameters, a sensitivity analysis process is performed through the finite element model to identify the change response information between each structural modal parameter information and each structural service performance parameter;

[0048] Based on the change response information, a mapping relationship between each structural modal parameter information and each structural service performance parameter is constructed.

[0049] Optionally, the adjustment module is specifically used to:

[0050] Based on the mapping relationship between each structural modal parameter information and each structural service performance parameter, a conversion function between each structural modal parameter information and each structural service performance parameter is generated;

[0051] The response surface model of the prefabricated building structure is constructed by using the conversion function corresponding to each structural modal parameter information and the finite element model.

[0052] Optionally, the evaluation module is specifically used to:

[0053] Acquire each measured structural modal parameter information of the prefabricated building structure, and based on each measured structural modal parameter information, identify the measured structural service performance parameter corresponding to each measured structural modal parameter information through a conversion function corresponding to each structural modal parameter information;

[0054] All measured structural service performance parameters are used as structural parameters of the prefabricated building structure.

[0055] Optionally, the evaluation module is specifically used to:

[0056] Based on each structural modal parameter information corresponding to the full-scale experimental scheme, identifying the structural service performance parameter corresponding to each structural modal parameter information through a conversion function corresponding to each structural modal parameter information;

[0057] Based on the measured structural service performance parameters of the accessory building structure and the structural service performance parameters of the prefabricated building structure, identifying parameter evaluation information of each structural service performance parameter through a parameter evaluation strategy;

[0058] The parameter evaluation information of all structural service performance parameters is used as the structural performance information of the prefabricated building structure.

[0059] In a third aspect, the present application provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0060] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0061] In a fifth aspect, the present application provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0062] The above-mentioned method and device for evaluating the performance of prefabricated building structures based on model correction obtains the structural layout characteristics of the prefabricated building structure and the finite element model of the prefabricated building structure, and generates a full-scale experimental scheme for the prefabricated building structure based on the structural layout characteristics; collects the vibration signal of the prefabricated building structure obtained based on the full-scale experimental scheme, and performs modal parameter identification processing on the vibration signal to obtain the modal parameter information of the prefabricated building structure; based on the modal parameter information and the finite element model, identifies the mapping relationship between the modal parameter information and the structural service performance parameters of the prefabricated building structure, and adjusts the finite element model based on the mapping relationship to obtain the response surface model of the prefabricated building structure; performs structural performance inversion processing on the response surface model to obtain the structural parameters of the prefabricated building structure, and performs performance evaluation processing on the prefabricated building structure based on the structural parameters and the full-scale experimental scheme to obtain the structural performance information of the prefabricated building structure. This scheme generates a full-scale experimental scheme for the prefabricated building structure based on the structural layout characteristics of the prefabricated building structure. Then, the vibration signal of the prefabricated building structure is obtained based on this to analyze the modal parameter information of the prefabricated building structure. Thus, while ensuring the accuracy of the acquired modal parameter information, the problem of low timeliness and high cost of acquiring the material parameters and geometric parameters of the structure is avoided. Secondly, this solution constructs a mapping relationship between the modal parameter information and the structural service performance parameters of the prefabricated building structure, thereby identifying the structural service performance parameters corresponding to different modal parameter information, and then identifies the structural performance information of the prefabricated building structure through structural performance inversion, thereby avoiding the inefficiency and low precision of manual analysis, thereby efficiently obtaining parameters and inverting performance evaluation operations, and comprehensively improving the accuracy of the evaluated prefabricated building structure performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0064] Figure 1 It is a schematic diagram of a flow chart of a method for evaluating the performance of an assembled building structure based on model correction in one embodiment;

[0065] Figure 2 A schematic diagram of a flow chart of an example of performance evaluation of a prefabricated building structure based on model correction in one embodiment;

[0066] Figure 3It is a structural block diagram of a prefabricated building structure performance evaluation device based on model correction in one embodiment;

[0067] Figure 4 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0068] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0069] The prefabricated building structure performance evaluation method based on model correction provided in the embodiment of the present application can be applied to the application environment of the prefabricated building structure performance evaluation. Among them, the method can be applied to a terminal, a server, or a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. Among them, the terminal can be, but is not limited to, various personal computers, laptops, etc. Among them, the terminal generates a full-scale experimental scheme for the prefabricated building structure based on the structural layout characteristics of the prefabricated building structure. Then, the vibration signal of the prefabricated building structure is obtained based on this to analyze the modal parameter information of the prefabricated building structure. Thus, while ensuring the accuracy of the acquired modal parameter information, the problem of low timeliness and high cost of acquiring the material parameters and geometric parameters of the structure is avoided. Secondly, this scheme constructs a mapping relationship between the modal parameter information and the structural service performance parameters of the prefabricated building structure, thereby identifying the structural service performance parameters corresponding to different modal parameter information, and then identifying the structural performance information of the prefabricated building structure by means of structural performance inversion, avoiding the inefficiency and low precision of manual analysis, thereby efficiently acquiring parameters, and inverting performance evaluation operations, and comprehensively improving the accuracy of the evaluated prefabricated building structure performance.

[0070] In an exemplary embodiment, Figure 1 As shown, a method for evaluating the performance of assembled building structures based on model correction is provided, and the method is applied to a terminal as an example for explanation, including the following steps S101 to S104. Among them:

[0071] Step S101, obtaining structural layout characteristics of the prefabricated building structure and a finite element model of the prefabricated building structure, and generating a full-scale experimental plan for the prefabricated building structure based on the structural layout characteristics.

[0072] In this embodiment, the terminal obtains the structural layout characteristics of the prefabricated building structure in response to the information upload operation of the staff. The structural layout characteristics include but are not limited to the layout and position characteristics of the floor slabs and shear walls. Then, the terminal obtains the finite element model of the prefabricated building structure that has been constructed. Or by obtaining the three-dimensional structural data of the prefabricated building structure, the finite element model of the prefabricated building structure is constructed through the finite element model construction software. After that, the terminal generates a full-scale experimental plan for the prefabricated building structure based on the structural layout characteristics. Among them, the full-scale experimental plan is an experimental method for identifying the structural vibration response data of the prefabricated building structure by performing a dynamic sensing test at a point where the structural response of the prefabricated building structure is sensitive. The specific process of generating the full-scale experimental plan will be described in detail later. Among them, the point where the structural response is sensitive is the position point where the vibration response of the prefabricated building structure is sensitive when the prefabricated building structure is excited.

[0073] Step S102, collecting vibration signals of the prefabricated building structure obtained based on the full-scale experimental scheme, and performing modal parameter identification processing on the vibration signals to obtain modal parameter information of the prefabricated building structure.

[0074] In this embodiment, the terminal collects the vibration signal of the prefabricated building structure obtained based on the full-scale experimental scheme, and performs modal parameter identification processing on the vibration signal to obtain the modal parameter information of the prefabricated building structure. Among them, the vibration signal is a signal obtained by denoising, filtering, intercepting and other operations on the vibration corresponding data obtained experimentally at points sensitive to each structural response. Among them, the modal parameter information includes but is not limited to modal parameters such as frequency and vibration mode of the prefabricated building structure. The specific identification process will be described in detail later.

[0075] Step S103, based on the modal parameter information and the finite element model, identifying the mapping relationship between the modal parameter information and the structural service performance parameters of the prefabricated building structure, and adjusting the finite element model based on the mapping relationship to obtain a response surface model of the prefabricated building structure.

[0076] In this embodiment, the terminal identifies the mapping relationship between the modal parameter information and the structural service performance parameters of the prefabricated building structure based on the modal parameter information and the finite element model, and adjusts the finite element model based on the mapping relationship to obtain the response surface model of the prefabricated building structure. The mapping relationship is used to convert the modal parameter information of the prefabricated building structure into the structural service performance parameters of the prefabricated building structure. Among them, the structural service performance parameters include but are not limited to the stiffness, mass, and material properties of the prefabricated building structure. The specific mapping relationship identification process will be described in detail later. Afterwards, the terminal adjusts the finite element model based on the mapping relationship to obtain the response surface model of the prefabricated building structure. Among them, the response surface model is a reduced-order model of the finite element model. The specific adjustment process will be described in detail later.

[0077] Step S104, performing structural performance inversion processing on the response surface model to obtain structural parameters of the prefabricated building structure, and based on the structural parameters and the full-scale experimental scheme, performing performance evaluation processing on the prefabricated building structure to obtain structural performance information of the prefabricated building structure.

[0078] In this embodiment, the terminal performs structural performance inversion processing on the response surface model to obtain structural parameters of the prefabricated building structure, and based on the structural parameters and the full-scale experimental scheme, performs performance evaluation processing on the prefabricated building structure to obtain structural performance information of the prefabricated building structure. Among them, the structural performance inversion processing is to perform structural inversion based on the measured modal parameter information actually collected by the response surface model to obtain the inversion processing process of each measured structural service performance parameter. The performance inversion processing process and the performance evaluation processing process will be described in detail later.

[0079] Based on the above scheme, a full-scale experimental scheme for the prefabricated building structure is generated based on the structural layout characteristics of the prefabricated building structure. Then, the vibration signal of the prefabricated building structure is obtained to analyze the modal parameter information of the prefabricated building structure. Thus, while ensuring the accuracy of the acquired modal parameter information, the problem of low timeliness and high cost of acquiring the material parameters and geometric parameters of the structure is avoided. Secondly, this scheme constructs a mapping relationship between the modal parameter information and the structural service performance parameters of the prefabricated building structure, thereby identifying the structural service performance parameters corresponding to different modal parameter information, and then identifies the structural performance information of the prefabricated building structure through structural performance inversion, thereby avoiding the inefficiency and low precision of manual analysis, thereby efficiently obtaining parameters and inversion performance evaluation operations, and comprehensively improving the accuracy of the evaluated prefabricated building structure performance.

[0080] Optionally, based on the structural layout characteristics, a full-scale experimental plan for the prefabricated building structure is generated, including: based on the structural layout characteristics, in the prefabricated building structure, the excitation points of the prefabricated building structure are screened, and the test results obtained by performing structural response tests at each excitation point are received; based on the test results corresponding to each excitation point, the power sensor data corresponding to each excitation point is identified, and based on the power sensor data corresponding to each excitation point, in a three-dimensional structural model corresponding to the prefabricated building structure, power sensor data distribution processing is performed to obtain power sensor distribution information of the prefabricated building structure; based on the power sensor distribution information, each layout point is screened, and based on the power sensor data of each layout point in the power sensor distribution information, in the experimental database, a target power sensor corresponding to each layout point and a target excitation method corresponding to each layout point are screened; based on each layout point, the target power sensor corresponding to each layout point, and the target excitation method corresponding to each layout point, a full-scale experimental plan for the prefabricated building structure is generated.

[0081] In this embodiment, the terminal selects the excitation points of the prefabricated building structure based on the structural layout characteristics, and receives the test results obtained by performing the structural response test at each excitation point. The excitation points are test points preset by the staff in the prefabricated building structure, and then the terminal collects the structural excitation test performed by the staff on each test point to obtain the test results of each excitation point.

[0082] Based on the test results corresponding to each excitation point, the terminal identifies the power sensor data corresponding to each excitation point, and based on the power sensor data corresponding to each excitation point, performs power sensor data distribution processing in the three-dimensional structural model corresponding to the prefabricated building structure to obtain power sensor distribution information of the prefabricated building structure. The power sensor data distribution processing method is to perform spatial data distribution processing by spatial interpolation. The power sensor distribution information is the power sensor response sensitivity of different position points in all areas of the prefabricated building structure. The higher the power sensor response sensitivity at the position point, the more sensitive the position point is to the vibration response, and the more suitable it is as a layout point for vibration response testing; and the lower the power sensor response sensitivity at the position point, the less sensitive the position point is to the vibration response, and the less suitable it is as a layout point for vibration response testing.

[0083] The terminal selects each layout point based on the power sensor distribution information, and based on the power sensor data of each layout point in the power sensor distribution information, selects the target power sensor corresponding to each layout point and the target excitation method corresponding to each layout point in the experimental database. The method of selecting each layout point is to select the position range surrounded by the position points with power sensor response sensitivity greater than the power sensor response sensitivity threshold in the power sensor distribution information, and then identify the number of target position points corresponding to the range size of each position range according to the range size and the number of position point settings preset in the terminal according to the range size of each position range. Then, in each position range, the terminal selects the position point with the maximum power sensor response sensitivity according to the preset interval distance as each layout point.

[0084] Based on each deployment point, the target dynamic sensor corresponding to each deployment point, and the target excitation method corresponding to each deployment point, a full-scale experimental plan for the prefabricated building structure is generated. In the experimental database, dynamic sensors and excitation methods corresponding to different dynamic sensor response sensitivity ranges are stored. Then, the terminal determines the target dynamic sensor corresponding to each deployment point and the target excitation method corresponding to each deployment point by identifying the sensor response sensitivity range to which the dynamic sensor response sensitivity of each deployment point belongs.

[0085] Based on the above scheme, the deployment points are screened through the testing process of each excitation point, avoiding the screening of data from all location points, ensuring the accuracy of data acquisition while greatly reducing the cost of data acquisition.

[0086] Optionally, modal parameter identification processing is performed on the vibration signal to obtain modal parameter information of the prefabricated building structure, including: splitting the vibration signal into sub-vibration signals corresponding to each layout point, and identifying the three-dimensional position information of each layout point in the prefabricated building structure; based on the sub-vibration signals corresponding to each layout point, and the three-dimensional position information corresponding to each layout point, the sub-modal parameter information of each layout point is identified by a modal parameter identification algorithm, and the sub-modal parameter information of all layout points is used as the modal parameter information of the prefabricated building structure.

[0087] In this embodiment, the terminal splits the vibration signal into sub-vibration signals corresponding to each layout point, and identifies the three-dimensional position information of each layout point in the prefabricated building structure. Then, based on the sub-vibration signals corresponding to each layout point and the three-dimensional position information corresponding to each layout point, the terminal identifies the sub-modal parameter information of each layout point through a modal parameter recognition algorithm, and uses the sub-modal parameter information of all layout points as the modal parameter information of the prefabricated building structure. The modal recognition algorithm may be, but is not limited to, a random subspace method, a stability map, or the like.

[0088] Based on the above scheme, the sub-modal parameter information of each layout point is identified through the modal recognition algorithm, so as to obtain the modal parameter information of the prefabricated building structure, thereby improving the comprehensiveness and accuracy of the modal parameter information of the prefabricated building structure.

[0089] Optionally, based on the modal parameter information and the finite element model, a mapping relationship between the modal parameter information and the structural service performance parameters of the prefabricated building structure is identified, including: based on the sub-modal parameter information of each layout point and the finite element model, the structural modal parameter information of the prefabricated building structure is calculated through a dynamic algorithm, and based on the modeling data of the finite element model, the structural service performance parameters of the prefabricated building structure are identified; based on the structural modal parameter information and the structural service performance parameters, a sensitivity analysis is performed through the finite element model to identify the change response information of each structural modal parameter information to each structural service performance parameter; based on the change response information, a mapping relationship between each structural modal parameter information and each structural service performance parameter is constructed.

[0090] In this embodiment, the terminal calculates the structural modal parameter information of the prefabricated building structure through a dynamic algorithm based on the submodal parameter information of each layout point and the finite element model, and identifies the structural service performance parameters of the prefabricated building structure based on the modeling data of the finite element model. The dynamic algorithm includes but is not limited to a vibration frequency algorithm and a vibration mode algorithm. The modeling data in the finite element model includes parameters of various stiffness, mass, and material properties.

[0091] Based on the structural modal parameter information and the structural service performance parameters, the terminal performs sensitivity analysis through a finite element model to identify the change response information of each structural modal parameter information to each structural service performance parameter. The sensitivity analysis is performed by adjusting each structural modal parameter information separately through a single variable method, thereby re-identifying the modal parameter information of the prefabricated building structure. Then, based on the change amount of each modal parameter information when each structural service performance parameter changes, the terminal determines the change response information of each structural modal parameter information to each structural service performance parameter. Finally, based on the change response information, the terminal constructs a mapping relationship between each structural modal parameter information and each structural service performance parameter.

[0092] Based on the above scheme, the service performance parameters of each structure are adjusted through the single variable method to identify the mapping relationship between each structural modal parameter information and each structural service performance parameter, thereby improving the recognition accuracy and efficiency of the mapping relationship.

[0093] Optionally, based on the mapping relationship, the finite element model is adjusted to obtain a response surface model of the prefabricated building structure, including: generating a conversion function between each structural modal parameter information and each structural service performance parameter based on the mapping relationship between each structural modal parameter information and each structural service performance parameter; and constructing a response surface model of the prefabricated building structure using the conversion function corresponding to each structural modal parameter information and the finite element model.

[0094] In this embodiment, the terminal generates a conversion function between each structural modal parameter information and each structural service performance parameter based on the mapping relationship between each structural modal parameter information and each structural service performance parameter. The conversion function is a conversion function that converts the structural modal parameter information into the structural service performance parameter, or converts the structural service performance parameter into the structural modal parameter information.

[0095] Finally, the terminal uses the conversion function corresponding to each structural modal parameter information and the finite element model to construct a response surface model of the prefabricated building structure. The response surface model refers to an approximate function relationship model between the parameters to be corrected and the correction target established by the experimental design method. This approximate function is used to replace the complex finite element model calculation during the optimization process, thereby improving the calculation efficiency and optimizing the objective function.

[0096] Based on the above scheme, through the mapping relationship between each structural modal parameter information and each structural service performance parameter, the conversion function between each structural modal parameter information and each structural service performance parameter is identified, thereby improving the accuracy and comprehensiveness of the identification of the structural service performance parameters.

[0097] Optionally, the response surface model is subjected to structural performance inversion processing to obtain structural parameters of the prefabricated building structure, including: obtaining each measured structural modal parameter information of the prefabricated building structure, and based on each measured structural modal parameter information, identifying the measured structural service performance parameters corresponding to each measured structural modal parameter information through a conversion function corresponding to each structural modal parameter information; all measured structural service performance parameters are used as the structural parameters of the prefabricated building structure.

[0098] In this embodiment, the terminal obtains each measured structural modal parameter information of the prefabricated building structure, and based on each measured structural modal parameter information, identifies the measured structural service performance parameters corresponding to each measured structural modal parameter information through the conversion function corresponding to each structural modal parameter information. Finally, the terminal uses all the measured structural service performance parameters as the structural parameters of the prefabricated building structure.

[0099] Based on the above scheme, the measured structural modal parameter information is used to directly identify the measured structural service performance parameters of the prefabricated building structure through the conversion function corresponding to each structural modal parameter information, thereby improving the recognition efficiency and accuracy of the measured structural service performance parameters.

[0100] Optionally, based on the structural parameters and the full-scale experimental scheme, a performance evaluation is performed on the prefabricated building structure to obtain structural performance information of the prefabricated building structure, including: based on each structural modal parameter information corresponding to the full-scale experimental scheme, identifying the structural service performance parameter corresponding to each structural modal parameter information through a conversion function corresponding to each structural modal parameter information; based on each measured structural service performance parameter of the accessory building structure and each structural service performance parameter of the prefabricated building structure, identifying parameter evaluation information of each structural service performance parameter through a parameter evaluation strategy; and using the parameter evaluation information of all structural service performance parameters as the structural performance information of the prefabricated building structure.

[0101] In this embodiment, the terminal identifies the structural service performance parameters corresponding to each structural modal parameter information based on the structural modal parameter information corresponding to the full-scale experimental scheme through the conversion function corresponding to each structural modal parameter information. Then, based on the measured structural service performance parameters of the accessory building structure and the structural service performance parameters of the prefabricated building structure, the terminal identifies the parameter evaluation information of each structural service performance parameter through the parameter evaluation strategy. Among them, the parameter evaluation strategy includes a sub-evaluation strategy for each structural service performance parameter, and each sub-evaluation strategy includes an evaluation value corresponding to the deviation value range of each parameter. The terminal calculates the deviation value range between each measured structural service performance parameter and each structural service performance parameter, thereby identifying the parameter evaluation value of each structural service performance parameter, and uses the parameter evaluation value of each structural service performance parameter as the parameter evaluation information of each structural service performance parameter. Finally. The terminal uses the parameter evaluation information of all structural service performance parameters as the structural performance information of the prefabricated building structure.

[0102] Based on the above scheme, the service performance of the structure itself is inverted through the change of structural dynamic information, so as to achieve lightweight performance evaluation of prefabricated building structures. While improving the accuracy of identifying structural performance information, the efficiency of identifying structural performance information is also improved.

[0103] This application also provides an example of performance evaluation of prefabricated building structures based on model modification, such as Figure 2 As shown, the specific processing process includes the following steps:

[0104] Step S201, obtaining structural layout characteristics of the prefabricated building structure and a finite element model of the prefabricated building structure.

[0105] Step S202, based on the structural layout characteristics, in the prefabricated building structure, the excitation points of the prefabricated building structure are screened, and the test results obtained by performing a structural response test at each excitation point are received.

[0106] Step S203, based on the test results corresponding to each excitation point, identify the power sensor data corresponding to each excitation point, and based on the power sensor data corresponding to each excitation point, perform power sensor data distribution processing in the three-dimensional structural model corresponding to the prefabricated building structure to obtain power sensor distribution information of the prefabricated building structure.

[0107] Step S204, based on the power sensor distribution information, each deployment point is screened, and based on the power sensor data of each deployment point in the power sensor distribution information, the target power sensor corresponding to each deployment point and the target excitation method corresponding to each deployment point are screened in the experimental database.

[0108] Step S205, generating a full-scale experimental plan for the prefabricated building structure based on each deployment point, the target dynamic sensor corresponding to each deployment point, and the target excitation method corresponding to each deployment point.

[0109] Step S206, collecting vibration signals of the prefabricated building structure obtained based on the full-scale experimental scheme.

[0110] Step S207: split the vibration signal into sub-vibration signals corresponding to each deployment point, and identify the three-dimensional position information of each deployment point in the prefabricated building structure.

[0111] Step S208, based on the sub-vibration signal corresponding to each layout point and the three-dimensional position information corresponding to each layout point, the sub-modal parameter information of each layout point is identified through the modal parameter identification algorithm, and the sub-modal parameter information of all layout points is used as the modal parameter information of the prefabricated building structure.

[0112] Step S209, based on the sub-modal parameter information of each layout point and the finite element model, the structural modal parameter information of the prefabricated building structure is calculated through a dynamic algorithm, and based on the modeling data of the finite element model, the structural service performance parameters of the prefabricated building structure are identified.

[0113] Step S210, based on the structural modal parameter information and the structural service performance parameters, a sensitivity analysis is performed through a finite element model to identify the change response information of each structural modal parameter information to each structural service performance parameter.

[0114] Step S211: constructing a mapping relationship between each structural modal parameter information and each structural service performance parameter based on the change response information.

[0115] Step S212: generating a conversion function between each structural modal parameter information and each structural service performance parameter based on the mapping relationship between each structural modal parameter information and each structural service performance parameter.

[0116] Step S213, constructing a response surface model of the prefabricated building structure using the conversion function corresponding to each structural modal parameter information and the finite element model.

[0117] Step S214, obtaining each measured structural modal parameter information of the prefabricated building structure, and based on each measured structural modal parameter information, identifying the measured structural service performance parameter corresponding to each measured structural modal parameter information through the conversion function corresponding to each structural modal parameter information.

[0118] Step S215, taking all measured structural service performance parameters as structural parameters of the prefabricated building structure.

[0119] Step S216: Based on each structural modal parameter information corresponding to the full-scale experimental scheme, the structural service performance parameter corresponding to each structural modal parameter information is identified through a conversion function corresponding to each structural modal parameter information.

[0120] Step S217, based on the measured structural service performance parameters of the accessory building structure and the structural service performance parameters of the prefabricated building structure, the parameter evaluation information of each structural service performance parameter is identified through a parameter evaluation strategy.

[0121] Step S218: taking parameter evaluation information of all structural service performance parameters as structural performance information of the prefabricated building structure.

[0122] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0123] Based on the same inventive concept, the embodiment of the present application also provides a device for evaluating the performance of prefabricated building structures based on model correction for implementing the method for evaluating the performance of prefabricated building structures based on model correction. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiments of one or more prefabricated building structure performance evaluation devices based on model correction provided below can refer to the limitations of the method for evaluating the performance of prefabricated building structures based on model correction above, and will not be repeated here.

[0124] In an exemplary embodiment, Figure 3 As shown, a prefabricated building structure performance evaluation device based on model correction is provided, comprising: an acquisition module 310, an identification module 320, an adjustment module 330 and an evaluation module 340, wherein:

[0125] An acquisition module 310 is used to acquire the structural layout characteristics of the prefabricated building structure and the finite element model of the prefabricated building structure, and generate a full-scale experimental plan of the prefabricated building structure based on the structural layout characteristics;

[0126] An identification module 320 is used to collect the vibration signal of the prefabricated building structure obtained based on the full-scale experimental scheme, and perform modal parameter identification processing on the vibration signal to obtain modal parameter information of the prefabricated building structure;

[0127] An adjustment module 330 is used to identify a mapping relationship between the modal parameter information and a structural service performance parameter of the prefabricated building structure based on the modal parameter information and the finite element model, and adjust the finite element model based on the mapping relationship to obtain a response surface model of the prefabricated building structure;

[0128] The evaluation module 340 is used to perform structural performance inversion processing on the response surface model to obtain structural parameters of the prefabricated building structure, and based on the structural parameters and the full-scale experimental scheme, perform performance evaluation processing on the prefabricated building structure to obtain structural performance information of the prefabricated building structure.

[0129] Optionally, the acquisition module 310 is specifically configured to:

[0130] Based on the structural layout characteristics, in the prefabricated building structure, selecting excitation points of the prefabricated building structure, and receiving test results obtained by performing a structural response test at each excitation point;

[0131] Based on the test results corresponding to each of the excitation points, the power sensor data corresponding to each of the excitation points is identified, and based on the power sensor data corresponding to each of the excitation points, the power sensor data distribution processing is performed in the three-dimensional structural model corresponding to the prefabricated building structure to obtain the power sensor distribution information of the prefabricated building structure;

[0132] Based on the power sensor distribution information, each layout point is screened, and based on the power sensor data of each layout point in the power sensor distribution information, a target power sensor corresponding to each layout point and a target excitation mode corresponding to each layout point are screened in an experimental database;

[0133] Based on each deployment point, the target power sensor corresponding to each deployment point, and the target excitation method corresponding to each deployment point, a full-scale experimental plan for the prefabricated building structure is generated.

[0134] Optionally, the identification module 320 is specifically configured to:

[0135] Splitting the vibration signal into sub-vibration signals corresponding to each of the deployment points, and identifying the three-dimensional position information of each deployment point in the prefabricated building structure;

[0136] Based on the sub-vibration signals corresponding to each of the layout points and the three-dimensional position information corresponding to each of the layout points, the sub-modal parameter information of each of the layout points is identified through a modal parameter identification algorithm, and the sub-modal parameter information of all the layout points is used as the modal parameter information of the prefabricated building structure.

[0137] Optionally, the adjustment module 330 is specifically configured to:

[0138] Based on the submodal parameter information of each layout point and the finite element model, the structural modal parameter information of the prefabricated building structure is calculated by a dynamic algorithm, and based on the modeling data of the finite element model, the structural service performance parameters of the prefabricated building structure are identified;

[0139] Based on the structural modal parameter information and the structural service performance parameters, a sensitivity analysis process is performed through the finite element model to identify the change response information between each structural modal parameter information and each structural service performance parameter;

[0140] Based on the change response information, a mapping relationship between each structural modal parameter information and each structural service performance parameter is constructed.

[0141] Optionally, the adjustment module 330 is specifically configured to:

[0142] Based on the mapping relationship between each structural modal parameter information and each structural service performance parameter, a conversion function between each structural modal parameter information and each structural service performance parameter is generated;

[0143] The response surface model of the prefabricated building structure is constructed by using the conversion function corresponding to each structural modal parameter information and the finite element model.

[0144] Optionally, the evaluation module 340 is specifically configured to:

[0145] Acquire each measured structural modal parameter information of the prefabricated building structure, and based on each measured structural modal parameter information, identify the measured structural service performance parameter corresponding to each measured structural modal parameter information through a conversion function corresponding to each structural modal parameter information;

[0146] All measured structural service performance parameters are used as structural parameters of the prefabricated building structure.

[0147] Optionally, the evaluation module 340 is specifically configured to:

[0148] Based on each structural modal parameter information corresponding to the full-scale experimental scheme, identifying the structural service performance parameter corresponding to each structural modal parameter information through a conversion function corresponding to each structural modal parameter information;

[0149] Based on the measured structural service performance parameters of the accessory building structure and the structural service performance parameters of the prefabricated building structure, identifying parameter evaluation information of each structural service performance parameter through a parameter evaluation strategy;

[0150] The parameter evaluation information of all structural service performance parameters is used as the structural performance information of the prefabricated building structure.

[0151] Each module in the above-mentioned prefabricated building structure performance evaluation device based on model correction can be implemented in whole or in part by software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0152] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 4As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for evaluating the performance of an assembled building structure based on model correction is realized. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0153] Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0154] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0155] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0156] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the steps of any one of the methods in the first aspect.

[0157] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0158] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0159] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0160] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for evaluating the performance of prefabricated building structures based on model correction, characterized in that: The method comprises: Acquire structural layout features of the prefabricated building structure and a finite element model of the prefabricated building structure, and generate a full-scale experimental plan for the prefabricated building structure based on the structural layout features; Collecting the vibration signal of the prefabricated building structure obtained based on the full-scale experimental scheme, and performing modal parameter identification processing on the vibration signal to obtain modal parameter information of the prefabricated building structure; Based on the modal parameter information and the finite element model, identifying a mapping relationship between the modal parameter information and a structural service performance parameter of the prefabricated building structure, and adjusting the finite element model based on the mapping relationship to obtain a response surface model of the prefabricated building structure; The response surface model is subjected to structural performance inversion processing to obtain structural parameters of the prefabricated building structure, and based on the structural parameters and the full-scale experimental scheme, the prefabricated building structure is subjected to performance evaluation processing to obtain structural performance information of the prefabricated building structure.

2. The method according to claim 1, characterized in that The step of generating a full-scale experimental scheme for the prefabricated building structure based on the structural layout features includes: Based on the structural layout characteristics, in the prefabricated building structure, selecting excitation points of the prefabricated building structure, and receiving test results obtained by performing a structural response test at each excitation point; Based on the test results corresponding to each of the excitation points, the power sensor data corresponding to each of the excitation points is identified, and based on the power sensor data corresponding to each of the excitation points, the power sensor data distribution processing is performed in the three-dimensional structural model corresponding to the prefabricated building structure to obtain the power sensor distribution information of the prefabricated building structure; Based on the power sensor distribution information, each layout point is screened, and based on the power sensor data of each layout point in the power sensor distribution information, a target power sensor corresponding to each layout point and a target excitation mode corresponding to each layout point are screened in an experimental database; Based on each deployment point, the target power sensor corresponding to each deployment point, and the target excitation method corresponding to each deployment point, a full-scale experimental plan for the prefabricated building structure is generated.

3. The method according to claim 2, characterized in that The performing modal parameter identification processing on the vibration signal to obtain modal parameter information of the prefabricated building structure includes: Splitting the vibration signal into sub-vibration signals corresponding to each of the deployment points, and identifying the three-dimensional position information of each deployment point in the prefabricated building structure; Based on the sub-vibration signals corresponding to each of the layout points and the three-dimensional position information corresponding to each of the layout points, the sub-modal parameter information of each of the layout points is identified through a modal parameter identification algorithm, and the sub-modal parameter information of all the layout points is used as the modal parameter information of the prefabricated building structure.

4. The method according to claim 3, characterized in that: The identifying, based on the modal parameter information and the finite element model, a mapping relationship between the modal parameter information and a structural service performance parameter of the prefabricated building structure comprises: Based on the submodal parameter information of each layout point and the finite element model, the structural modal parameter information of the prefabricated building structure is calculated by a dynamic algorithm, and based on the modeling data of the finite element model, the structural service performance parameters of the prefabricated building structure are identified; Based on the structural modal parameter information and the structural service performance parameters, a sensitivity analysis process is performed through the finite element model to identify the change response information between each structural modal parameter information and each structural service performance parameter; Based on the change response information, a mapping relationship between each structural modal parameter information and each structural service performance parameter is constructed.

5. The method according to claim 4, characterized in that The step of adjusting the finite element model based on the mapping relationship to obtain a response surface model of the prefabricated building structure includes: Based on the mapping relationship between each structural modal parameter information and each structural service performance parameter, a conversion function between each structural modal parameter information and each structural service performance parameter is generated; The response surface model of the prefabricated building structure is constructed by using the conversion function corresponding to each structural modal parameter information and the finite element model.

6. The method according to claim 5, characterized in that The step of performing structural performance inversion processing on the response surface model to obtain structural parameters of the prefabricated building structure includes: Acquire each measured structural modal parameter information of the prefabricated building structure, and based on each measured structural modal parameter information, identify the measured structural service performance parameter corresponding to each measured structural modal parameter information through a conversion function corresponding to each structural modal parameter information; All measured structural service performance parameters are used as structural parameters of the prefabricated building structure.

7. The method according to claim 4, characterized in that The method of performing performance evaluation on the prefabricated building structure based on the structural parameters and the full-scale experimental scheme to obtain structural performance information of the prefabricated building structure includes: Based on each structural modal parameter information corresponding to the full-scale experimental scheme, identifying the structural service performance parameter corresponding to each structural modal parameter information through a conversion function corresponding to each structural modal parameter information; Based on the measured structural service performance parameters of the accessory building structure and the structural service performance parameters of the prefabricated building structure, identifying parameter evaluation information of each structural service performance parameter through a parameter evaluation strategy; The parameter evaluation information of all structural service performance parameters is used as the structural performance information of the prefabricated building structure.

8. A device for evaluating the performance of assembled building structures based on model correction, characterized in that: The device comprises: An acquisition module, used to acquire the structural layout characteristics of the prefabricated building structure and the finite element model of the prefabricated building structure, and generate a full-scale experimental plan of the prefabricated building structure based on the structural layout characteristics; an identification module, used to collect the vibration signal of the prefabricated building structure obtained based on the full-scale experimental scheme, and perform modal parameter identification processing on the vibration signal to obtain modal parameter information of the prefabricated building structure; An adjustment module is used to identify a mapping relationship between the modal parameter information and a structural service performance parameter of the prefabricated building structure based on the modal parameter information and the finite element model, and adjust the finite element model based on the mapping relationship to obtain a response surface model of the prefabricated building structure; An evaluation module is used to perform structural performance inversion processing on the response surface model to obtain structural parameters of the prefabricated building structure, and based on the structural parameters and the full-scale experimental scheme, perform performance evaluation processing on the prefabricated building structure to obtain structural performance information of the prefabricated building structure.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

11. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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