Proxy model dynamic response optimization method and device based on frequency response function driving

Abstract

The invention provides a proxy model dynamic response optimization method and equipment based on frequency response function driving, and aims to solve the problems of large iterative optimization calculation amount, inaccurate modal parameter identification, poor model correction precision, complex operation and the like of the existing finite element model correction method. According to the invention, a frequency response function is adopted to replace a dynamic test to obtain more accurate dynamic responses such as modal frequency and vibration mode; an agent model is adopted to replace an original finite element model for iterative optimization, a theoretical frequency response function is established based on the iterative optimization, and finite element model correction which is high in efficiency, high in precision and easy and convenient to operate is achieved.

Description

Technical Field

[0001] The invention relates to a method and a device for optimizing the dynamic response of an agent model based on frequency response function drive. Background Art

[0002] At present, in the process of finite element model correction, according to the original finite element model correction method, the method of obtaining modal parameters through modal tests and directly iterating and optimizing based on the original finite element model is still adopted. There will be certain errors when obtaining modal parameters through modal tests, and direct iterating and optimizing based on the original finite element model will generate a lot of calculations. This traditional method has many problems such as slow optimization rate and inaccurate correction accuracy, making it difficult to quickly and accurately complete the finite element model correction. Summary of the invention

[0003] The object of the present invention is to provide a method and device for optimizing the dynamic response of an agent model based on frequency response function drive.

[0004] In order to solve the above problems, the present invention provides a method for optimizing the dynamic response of an agent model based on frequency response function drive, comprising:

[0005] Step S1, establishing an initial finite element model of the building structure according to the architectural drawings, and determining a target response value to be corrected of the initial finite element model;

[0006] Step S2, selecting structural parameters whose correlation with the target response value to be corrected is greater than a preset threshold as parameters to be corrected;

[0007] Step S3, selecting a group of sample points of the parameters to be corrected of representative building structures within the value range of the parameters to be corrected, and performing finite element calculations at the group of sample points to obtain finite element response values ​​at the group of sample points;

[0008] Step S4, establishing a proxy model of the structural finite element model based on the group of sample points and the calculated finite element response values;

[0009] Step S5, determining the accuracy of the proxy model by calculating relevant parameters of the proxy model;

[0010] Step S6, if the accuracy of the proxy model meets the requirement, iterative optimization of the proxy model is performed;

[0011] Step S7: If the accuracy of the proxy model does not meet the requirement, add sample points and go back to step S3 for execution.

[0012] Furthermore, in the above method, the target response value includes: dynamic parameters of modal frequency and vibration shape.

[0013] Furthermore, in the above method, step S2, screening out structural parameters whose correlation with the target response value to be corrected is greater than a preset threshold as parameters to be corrected, includes:

[0014] Through sensitivity analysis, structural parameters whose correlation with the target response value to be corrected is greater than a preset threshold are selected as parameters to be corrected.

[0015] Furthermore, in the above method, the parameters to be corrected may include: material properties, geometric dimensions and cross-sectional properties, etc.; the material properties include: elastic modulus and yield strength, etc.

[0016] Furthermore, in the above method, step S3, within the value range of the parameter to be corrected, a group of sample points of the parameter to be corrected of a representative building structure are selected, and finite element calculation is performed under the group of sample points to obtain finite element response values ​​under the group of sample points, including:

[0017] Through uniform test design, a group of sample points of the parameters to be corrected of representative building structures are selected within the value range of the parameters to be corrected, and finite element calculation is performed under the group of sample points to obtain the finite element response values ​​under the group of sample points.

[0018] Furthermore, in the above method, step S4, based on the set of sample points and the calculated finite element response values, establishing a proxy model of the structural finite element model includes:

[0019] Based on the set of sample points and the calculated finite element response values, a proxy model of the structural finite element model is established using a kriging model or a radial basis function.

[0020] Furthermore, in the above method, in step S6, if the accuracy of the proxy model meets the requirement, iterative optimization of the proxy model is performed, including:

[0021] Step S61, collecting data such as acceleration and displacement of the building structure within a period of time through environmental excitation, and preprocessing the data to obtain preprocessed data to improve data quality;

[0022] Step S62, calculating the actual frequency response function of the building structure based on the preprocessed data; obtaining the theoretical frequency response function of the structure by performing finite element analysis on the proxy model;

[0023] Step S63, taking minimization of the modal parameter difference between the theoretical frequency response function and the actual frequency response function as the objective function, based on the objective function and taking the variation range of the parameter to be corrected as the constraint condition, performing iterative optimization in the proxy model to obtain a corrected finite element model, re-establishing the theoretical frequency response function based on the corrected finite element model, and recalculating the modal parameter difference between the theoretical frequency response function and the actual frequency response function until the modal parameter difference between the theoretical frequency response function and the actual frequency response function meets the preset requirements, thereby completing the model correction.

[0024] Furthermore, in the above method, the frequency response function data includes: acceleration and displacement of the building structure, etc.

[0025] According to another aspect of the present invention, there is further provided a computer-readable storage medium having computer-executable instructions stored thereon, wherein when the computer-executable instructions are executed by a processor, the processor is caused to: execute any of the methods described above.

[0026] According to another aspect of the present invention, there is also provided a computer device, comprising:

[0027] Processor; and

[0028] A memory arranged to store computer executable instructions, which when executed cause the processor to: perform any of the methods described above.

[0029] In view of the many problems existing in the current finite element model correction methods, such as large iterative optimization calculation amount, inaccurate modal parameter identification, poor model correction accuracy, and complex operation, the present invention adopts a frequency response function instead of a dynamic test to obtain more accurate modal frequency, vibration type and other dynamic responses; adopts a proxy model to replace the original finite element model for iterative optimization, and establishes a theoretical frequency response function based on this to achieve high-efficiency, high-precision, and easy-to-operate finite element model correction.

[0030] Compared with the traditional finite element model correction method, the beneficial effects of the present invention are mainly as follows:

[0031] (1) High model correction accuracy. By establishing the frequency response function of the structure, accurate modal parameters can be directly calculated, avoiding the errors caused by modal tests, making the objective function more accurate, and ultimately achieving higher model correction accuracy;

[0032] (2) The optimization rate is fast. Using a proxy model instead of the original finite element model for iterative correction can greatly save the amount of calculation, avoid repeated and redundant data iterative calculations, and improve the calculation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1It is a flow chart of a method for optimizing the dynamic response of an agent model based on frequency response function driving according to an embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0035] like Figure 1 As shown, the present invention provides a method for optimizing the dynamic response of an agent model based on frequency response function driving, comprising:

[0036] Step S1, establishing an initial finite element model of the building structure according to the architectural drawings, and determining a target response value to be corrected of the initial finite element model;

[0037] Preferably, the target response value may include: dynamic parameters such as modal frequency and vibration shape;

[0038] Step S2, selecting structural parameters whose correlation with the target response value to be corrected is greater than a preset threshold as parameters to be corrected;

[0039] Preferably, some structural parameters whose correlation with the target response value to be corrected is greater than a preset threshold can be screened out as parameters to be corrected through sensitivity analysis, and the target response value to be corrected of the finite element model can be effectively changed by adjusting the parameters to be corrected.

[0040] Preferably, the parameters to be corrected may include: material properties (such as elastic modulus, yield strength, etc.), geometric dimensions and cross-sectional properties, etc. The idea of ​​finite element model correction is to adjust these input parameters to be corrected so that the output parameters of the finite element model are closer to the actual response values ​​of the structure.

[0041] Step S3, selecting a group of sample points of the parameters to be corrected of representative building structures within the value range of the parameters to be corrected, and performing finite element calculations at the group of sample points to obtain finite element response values ​​at the group of sample points;

[0042] Preferably, through uniform test design, a group of sample points of the parameters to be corrected of representative building structures are selected within the value range of the parameters to be corrected, and finite element calculations are performed under the group of sample points to obtain finite element response values ​​under the group of sample points.

[0043] Step S4, establishing a proxy model of the structural finite element model based on the group of sample points and the calculated finite element response values;

[0044] Preferably, based on the group of sample points and the calculated finite element response values, a proxy model of the structural finite element model is established in the form of a kriging model or a radial basis function.

[0045] Step S5, determining the accuracy of the proxy model by calculating relevant parameters of the proxy model;

[0046] Step S6, if the accuracy of the proxy model meets the requirement, iterative optimization of the proxy model is performed;

[0047] Step S7: If the accuracy of the proxy model does not meet the requirement, add sample points and go back to step S3 for execution.

[0048] Here, after the proxy model is established, the accuracy of the proxy model can be determined by calculating the relevant parameters of the proxy model. If the accuracy meets the requirements, the subsequent optimization will continue. If the accuracy does not meet the requirements, the uniform test design will be re-performed to increase the sample points and improve the accuracy of the proxy model. In the case of a large number of iterative calculations, direct finite element analysis will cause a large amount of calculations and is very time-consuming. The use of proxy models can greatly reduce the amount of calculations and save time for iterative optimization.

[0049] Preferably, in step S6, if the accuracy of the proxy model meets the requirement, iterative optimization of the proxy model is performed, including:

[0050] Step S61, collecting frequency response function data of acceleration and displacement of the building structure within a period of time through environmental excitation, and preprocessing the frequency response function data to obtain preprocessed data to improve data quality;

[0051] Preferably, the frequency response function data includes: acceleration and displacement of the building structure;

[0052] Step S62, calculating the actual frequency response function of the building structure based on the preprocessed data; obtaining the theoretical frequency response function of the structure by performing finite element analysis on the proxy model;

[0053] Step S63, taking minimization of the modal parameter difference between the theoretical frequency response function and the actual frequency response function as the objective function, based on the objective function and taking the variation range of the parameter to be corrected as the constraint condition, performing iterative optimization in the proxy model to obtain a corrected finite element model, re-establishing the theoretical frequency response function based on the corrected finite element model, and recalculating the modal parameter difference between the theoretical frequency response function and the actual frequency response function until the modal parameter difference between the theoretical frequency response function and the actual frequency response function meets the preset requirements, thereby completing the model correction.

[0054] According to another aspect of the present invention, there is further provided a computer-readable storage medium having computer-executable instructions stored thereon, wherein when the computer-executable instructions are executed by a processor, the processor is caused to: execute any of the methods described above.

[0055] According to another aspect of the present invention, there is also provided a computer device, comprising:

[0056] Processor; and

[0057] A memory arranged to store computer executable instructions, which when executed cause the processor to: perform any of the methods described above.

[0058] In summary, the present invention aims to solve the problems of the current finite element model correction method, such as large iterative optimization calculation amount, inaccurate modal parameter identification, poor model correction accuracy, and complex operation. The present invention adopts a frequency response function instead of a dynamic test to obtain more accurate modal frequency, vibration type and other dynamic responses; adopts a proxy model to replace the original finite element model for iterative optimization, and establishes a theoretical frequency response function based on the proxy model to achieve high-efficiency, high-precision, and easy-to-operate finite element model correction.

[0059] Compared with the traditional finite element model correction method, the beneficial effects of the present invention are mainly as follows:

[0060] (1) High model correction accuracy. By establishing the frequency response function of the structure, accurate modal parameters can be directly calculated, avoiding the errors caused by modal tests, making the objective function more accurate, and ultimately achieving higher model correction accuracy;

[0061] (2) The optimization rate is fast. Using a proxy model instead of the original finite element model for iterative correction can greatly save the amount of calculation, avoid repeated and redundant data iterative calculations, and improve the calculation efficiency.

[0062] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0063] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0064] Obviously, those skilled in the art can make various changes and modifications to the invention without departing from the spirit and scope of the invention. Thus, if these modifications and variations of the invention fall within the scope of the claims of the invention and their equivalents, the invention is also intended to include these modifications and variations.

Claims

1. A dynamic response optimization method of a proxy model based on frequency response function drive, characterized in that: include: Step S1, establishing an initial finite element model of the building structure according to the architectural drawings, and determining a target response value to be corrected of the initial finite element model; Step S2, selecting structural parameters whose correlation with the target response value to be corrected is greater than a preset threshold as parameters to be corrected; Step S3, selecting a group of sample points of the parameters to be corrected of representative building structures within the value range of the parameters to be corrected, and performing finite element calculations at the group of sample points to obtain finite element response values ​​at the group of sample points; Step S4, establishing a proxy model of the structural finite element model based on the group of sample points and the calculated finite element response values; Step S5, determining the accuracy of the proxy model by calculating relevant parameters of the proxy model; Step S6, if the accuracy of the proxy model meets the requirement, iterative optimization of the proxy model is performed; Step S7: If the accuracy of the proxy model does not meet the requirement, add sample points and go back to step S3 for execution.

2. The method for optimizing the dynamic response of a proxy model based on frequency response function drive according to claim 1, characterized in that: The target response value includes: modal frequency and dynamic parameters of vibration shape.

3. The method for optimizing the dynamic response of a proxy model based on frequency response function drive according to claim 1, characterized in that: Step S2, screening out structural parameters whose correlation with the target response value to be corrected is greater than a preset threshold as parameters to be corrected, including: Through sensitivity analysis, structural parameters whose correlation with the target response value to be corrected is greater than a preset threshold are selected as parameters to be corrected.

4. The method for optimizing the dynamic response of a proxy model based on frequency response function drive according to claim 1, characterized in that: The parameters to be corrected may include: material properties, geometric dimensions and cross-sectional properties; the material properties include: elastic modulus and yield strength.

5. The method for optimizing the dynamic response of a proxy model based on frequency response function drive according to claim 1, characterized in that: Step S3, within the value range of the parameter to be corrected, a group of sample points of the parameter to be corrected of a representative building structure are selected, and finite element calculation is performed under the group of sample points to obtain finite element response values ​​under the group of sample points, including: Through uniform test design, a group of sample points of the parameters to be corrected of representative building structures are selected within the value range of the parameters to be corrected, and finite element calculation is performed under the group of sample points to obtain the finite element response values ​​under the group of sample points.

6. The method for optimizing the dynamic response of a proxy model based on frequency response function drive according to claim 1, characterized in that: Step S4, establishing a proxy model of the structural finite element model based on the group of sample points and the calculated finite element response values, including: Based on the set of sample points and the calculated finite element response values, a proxy model of the structural finite element model is established by using a proxy model method of a kriging model or a radial basis function.

7. The method for optimizing the dynamic response of a proxy model based on frequency response function drive according to claim 1, characterized in that: Step S6: if the accuracy of the proxy model meets the requirement, iterative optimization of the proxy model is performed, including: Step S61, collecting frequency response function data of acceleration and displacement of the building structure within a period of time through environmental excitation, and preprocessing the frequency response function data to obtain preprocessed data to improve data quality; Step S62, calculating the actual frequency response function of the building structure based on the preprocessed data; obtaining the theoretical frequency response function of the structure by performing finite element analysis on the proxy model; Step S63, taking minimization of the modal parameter difference between the theoretical frequency response function and the actual frequency response function as the objective function, based on the objective function and taking the variation range of the parameter to be corrected as the constraint condition, performing iterative optimization in the proxy model to obtain a corrected finite element model, re-establishing the theoretical frequency response function based on the corrected finite element model, and recalculating the modal parameter difference between the theoretical frequency response function and the actual frequency response function until the modal parameter difference between the theoretical frequency response function and the actual frequency response function meets the preset requirements, thereby completing the model correction.

8. The method for optimizing the dynamic response of a proxy model based on frequency response function drive according to claim 7, characterized in that: The frequency response function data include: acceleration and displacement data of the building structure.

9. A computer-readable storage medium having computer-executable instructions stored thereon, wherein: When the computer executable instructions are executed by a processor, the processor is caused to: perform the method according to any one of claims 1 to 8.

10. A computer device, wherein: include: processor; as well as A memory arranged to store computer executable instructions which, when executed, cause the processor to: perform a method as claimed in any one of claims 1 to 8.

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