First-order dominant frequency estimation method and device of building, electronic equipment and medium

Abstract

The embodiment of the invention provides a first-order dominant frequency estimation method and device of a building, electronic equipment and a medium, and the method comprises the steps: arranging the vibration data of the building and the structure data of the building, carrying out the modal recognition of the collected data of each building through a mass data processing technology and a verified modal recognition technology, and obtaining a first-order dominant frequency of the building; obtaining a first-order dominant frequency of each building; on the basis of an existing first-order dominant frequency empirical formula, data points of the first-order dominant frequency empirical formula are supplemented according to the obtained first-order dominant frequency and statistical related parameter values, regression analysis is conducted again, and the first-order dominant frequency empirical formula revised by a building is obtained; and estimating the building first-order dominant frequency based on the revised first-order dominant frequency empirical formula. According to the method, the accuracy of first-order dominant frequency calculation of super high-rise buildings in China can be improved.

Description

Technical Field

[0001] This document relates to the field of computer technology, and in particular to a method, device, electronic equipment and medium for estimating the first-order main frequency of a building. Background Art

[0002] The first-order main frequency of a building structure (i.e., the first-order main frequency) is one of the important parameters required for building structure design, and the periodic empirical formula is one of the important ways to obtain the first-order main frequency of a structure. Most of the seismic design codes in the world recommend the first-order main frequency calculation formula. Due to differences in building codes, structural types, building materials, construction techniques, etc., different countries have different empirical formulas for the first-order main frequency of structures.

[0003] There are two main methods for the empirical formula of the first-order main frequency. One is to obtain it through regression fitting of the measured first-order main frequency, and the other is to obtain it based on theoretical methods, such as the Rayleigh method, the Dunkley method, etc. However, due to differences in standards, structural types, building materials, construction processes, etc. in various countries, it is difficult to obtain a unified empirical formula for the first-order main frequency. Summary of the invention

[0004] The object of the present invention is to provide a method, device, electronic equipment and medium for estimating the first-order main frequency of a building, aiming to solve the above-mentioned problems in the prior art.

[0005] The present invention provides a method for estimating the first-order main frequency of a building, comprising:

[0006] Organize the vibration data and building structure data of the building, use the massive data processing technology and the verified modal identification technology to perform modal identification on the collected data of each building, and obtain the first-order main frequency of each building;

[0007] Based on the existing first-order main frequency empirical formula, according to the obtained first-order main frequency, statistically related parameter values ​​are obtained, the data points of the first-order main frequency empirical formula are supplemented, and a re-regression analysis is performed to obtain the revised first-order main frequency empirical formula of the building;

[0008] Based on the revised first-order main frequency empirical formula, the first-order main frequency of the building is estimated.

[0009] The present invention provides a first-order main frequency estimation device for a building, comprising:

[0010] The processing module is used to organize the vibration data and building structure data of the building, and use the massive data processing technology and the verified modal identification technology to perform modal identification on the collected data of each building to obtain the first-order main frequency of each building;

[0011] An analysis module is used to, based on the existing first-order main frequency empirical formula, calculate relevant parameter values ​​according to the obtained first-order main frequency, supplement the data points of the first-order main frequency empirical formula, and perform a re-regression analysis to obtain a revised first-order main frequency empirical formula for the building;

[0012] The estimation module is used to estimate the first-order main frequency of the building based on the revised first-order main frequency empirical formula.

[0013] An embodiment of the present invention further provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program implements the steps of the first-order main frequency estimation method of the above-mentioned building when executed by the processor.

[0014] An embodiment of the present invention further provides a computer-readable storage medium, on which a program for implementing information transmission is stored. When the program is executed by a processor, the steps of the first-order main frequency estimation method of the above-mentioned building are implemented.

[0015] By adopting the embodiment of the present invention, a more accurate empirical formula for the first-order main frequency of super high-rise buildings in my country is proposed, which can improve the accuracy of the calculation of the first-order main frequency of super high-rise buildings in my country. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate one or more embodiments of this specification or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0017] Figure 1 is a flow chart of a method for estimating the first-order dominant frequency of a building according to an embodiment of the present invention;

[0018] Figure 2 is a schematic diagram of a first-order main frequency estimation device for a building according to an embodiment of the present invention;

[0019] Figure 3 is a schematic diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to enable those skilled in the art to better understand the technical solutions in one or more embodiments of this specification, the following will be combined with the drawings in one or more embodiments of this specification to clearly and completely describe the technical solutions in one or more embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on one or more embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this document.

[0021] Method Embodiment

[0022] According to an embodiment of the present invention, a method for estimating the first-order main frequency of a building is provided. Figure 1 is a flow chart of a method for estimating the first-order main frequency of a building according to an embodiment of the present invention. Figure 1 As shown, the first-order main frequency estimation method of a building according to an embodiment of the present invention specifically includes:

[0023] Step S101, collating the vibration data and building structure data of the building, using the massive data processing technology and the verified modal identification technology to perform modal identification on the collected data of each building, and obtaining the first-order main frequency of each building; specifically including:

[0024] Organize the building's vibration data and the building's height, aspect ratio, structural material, lateral load resistance factor, and vibration amplitude;

[0025] Clean and preprocess the collected data to exclude outliers and data that do not meet the requirements;

[0026] The modal identification of the collected data of each building is performed using massive data processing technology and verified modal identification technology to obtain the first-order dominant frequency of each building.

[0027] Step S102, based on the existing first-order main frequency empirical formula, statistically analyzing relevant parameter values ​​according to the obtained first-order main frequency, supplementing the data points of the first-order main frequency empirical formula, and performing a re-regression analysis to obtain a revised first-order main frequency empirical formula for the building; specifically includes:

[0028] The following parameters were collected for each building: height H, aspect ratio L / W, structural material, lateral load resistance coefficient C, and vibration amplitude A;

[0029] Based on the existing first-order dominant frequency empirical formula, according to the obtained first-order dominant frequency, SPSS software was used to perform Pearson correlation analysis to determine the correlation between each parameter and the first-order dominant frequency, the data points of the first-order dominant frequency empirical formula were supplemented, and a multivariate linear regression model was constructed to analyze the influence of the parameters on the first-order dominant frequency;

[0030] According to the regression analysis results, the first-order dominant frequency empirical formula of the building revision as described in Formula 1 is constructed:

[0031] T1=a·H b (L / W) c ·C d ·e fA Formula 1;

[0032] Among them, T1 represents the first-order main frequency, a, b, c, d, and f are unknown coefficients, a=0.1, b=0.5, c=-0.2, d=0.3, and f=0.1.

[0033] Step S103, estimating the first-order main frequency of the building based on the revised first-order main frequency empirical formula.

[0034] Further including:

[0035] Based on the revised first-order main frequency empirical formula, relevant literature and measured data points are collected, the applicability and usability of the revised first-order main frequency empirical formula are analyzed, and the revised first-order main frequency empirical formula is verified through the data of the newly built building structure array.

[0036] The above technical solution of the embodiment of the present invention is described in detail below.

[0037] Step 1: Use the first-order period empirical formula based on time domain and frequency domain to obtain the first-order natural vibration period of the building based on the existing measured data. First, collect the existing measured data of the dynamic performance of high-rise buildings, which usually include the vibration response records of the building. Secondly, use the method of patent 1 to obtain the identified first-order natural vibration period. Specifically:

[0038] (1) Data collection and preprocessing

[0039] Target buildings: 50 super high-rise buildings located in Shanghai were selected as research objects.

[0040] Measured data: Collect measured data on the dynamic performance of these buildings, including vibration response records, architectural drawings, and related design documents.

[0041] Data preprocessing: Clean and preprocess the collected data to exclude outliers and data that does not meet the requirements.

[0042] (2) Time domain and frequency domain analysis

[0043] Determine the first-order natural frequency.

[0044] Step 2: Count the building's height, aspect ratio, structural material, lateral load resistance coefficient, and vibration amplitude, and analyze their relationship with the building's first-order natural vibration period. Sort out the collected building's relevant parameters, including height, aspect ratio, structural material type, lateral load resistance coefficient, and vibration amplitude. Use statistical software (such as SPSS, R, etc.) to analyze the relationship between these parameters and the first-order natural vibration period. You can use correlation analysis, regression analysis, and other methods. Analyze the degree of influence of each parameter on the first-order natural vibration period and determine which parameters are the main influencing factors. Specifically include:

[0045] (1) Parameter collection: Collect the following parameters for each building:

[0046] Height (H)

[0047] Aspect ratio (L / W)

[0048] Structural materials (such as steel structures, reinforced concrete structures, etc.)

[0049] Transverse load resistance coefficient (C)

[0050] Vibration amplitude (A)

[0051] (2) Data analysis:

[0052] Statistical analysis was performed using SPSS software.

[0053] Pearson correlation analysis was performed to determine the correlation between each parameter and the first-order natural oscillation period (T1).

[0054] A multiple linear regression model was constructed to analyze the effects of parameters on T1.

[0055] (3) Formula construction:

[0056] According to the regression analysis results, an empirical formula is constructed:

[0057] T1=α·H b (L / W) c ·C d ·e fA

[0058] Among them, a, b, c, d, and f are unknown coefficients.

[0059] The coefficients obtained by least squares fitting are: a=0.1, b=0.5, c=-0.2, d=0.3, f=0.1.

[0060] Step 3. Based on the analysis in step 2, an empirical formula for the first-order natural vibration period of super high-rise buildings is proposed. Based on the results of statistical analysis, the main factors affecting the first-order natural vibration period are determined and an empirical formula is constructed. The empirical formula is verified using a portion of data that is not involved in the construction of the formula to evaluate its accuracy and applicability. The formula is adjusted and optimized as necessary based on the verification results. Specifically, the measured data of another 10 super high-rise buildings are substituted into the empirical formula. Compare the calculated T1 with the measured T1, and calculate the average error and standard deviation.

[0061] Empirical formula: T1 = 0.1·H 0.5 (L / W) -0.2 ·C 0.3 ·e 0.1.A

[0062] Verification results: the average error is 5.2% and the standard deviation is 2.1%, indicating that the empirical formula has high accuracy and reliability.

[0063] In summary, the embodiment of the present invention successfully constructs an empirical formula for the first-order natural vibration period of super high-rise buildings through systematic data collection, analysis and verification. This formula can provide structural engineers with a tool for quickly estimating the first-order natural vibration period during the design stage of super high-rise buildings, thereby optimizing the structural design and improving the seismic performance of the building.

[0064] Device Example 1

[0065] According to an embodiment of the present invention, a device for estimating the first-order main frequency of a building is provided. Figure 2 Schematic diagram of a first-order main frequency estimation device for a building according to an embodiment of the present invention. Figure 2 As shown, the first-order main frequency estimation device of a building according to an embodiment of the present invention specifically includes:

[0066] The processing module 20 is used to sort out the vibration data and building structure data of the building, and use the massive data processing technology and the verified modal identification technology to perform modal identification on the collected data of each building to obtain the first-order main frequency of each building; specifically used for:

[0067] Organize the building's vibration data and the building's height, aspect ratio, structural material, lateral load resistance factor, and vibration amplitude;

[0068] Clean and preprocess the collected data to exclude outliers and data that do not meet the requirements;

[0069] The modal identification of the collected data of each building is performed using massive data processing technology and verified modal identification technology to obtain the first-order dominant frequency of each building.

[0070] The analysis module 22 is used to supplement the data points of the first-order main frequency empirical formula based on the existing first-order main frequency empirical formula, and perform a re-regression analysis to obtain the revised first-order main frequency empirical formula of the building; specifically used for:

[0071] The following parameters were collected for each building: height H, aspect ratio L / W, structural material, lateral load resistance coefficient C, and vibration amplitude A;

[0072] Based on the existing first-order dominant frequency empirical formula, according to the obtained first-order dominant frequency, SPSS software was used to perform Pearson correlation analysis to determine the correlation between each parameter and the first-order dominant frequency, the data points of the first-order dominant frequency empirical formula were supplemented, and a multivariate linear regression model was constructed to analyze the influence of the parameters on the first-order dominant frequency;

[0073] According to the regression analysis results, the first-order dominant frequency empirical formula of the building revision as described in Formula 1 is constructed:

[0074] T1=α·H b (L / W) c ·C d ·e fA Formula 1;

[0075] Among them, T1 represents the first-order main frequency, a, b, c, d, and f are unknown coefficients, a=0.1, b=0.5, c=-0.2, d=0.3, and f=0.1.

[0076] The estimation module 24 is used to estimate the first-order main frequency of the building based on the revised first-order main frequency empirical formula.

[0077] The device further comprises:

[0078] The verification module is used to collect relevant literature and measured data points based on the revised first-order main frequency empirical formula, analyze the applicability and usability of the revised first-order main frequency empirical formula, and verify the revised first-order main frequency empirical formula through the data of the newly built building structure array.

[0079] The embodiment of the present invention is a device embodiment corresponding to the above method embodiment. The specific operations of each module can be understood by referring to the description of the method embodiment, which will not be repeated here.

[0080] Device Example 2

[0081] An embodiment of the present invention provides an electronic device, such as Figure 3As shown, it includes: a memory 30, a processor 32, and a computer program stored in the memory 30 and executable on the processor 32. When the computer program is executed by the processor 32, the steps described in the method embodiment are implemented.

[0082] Device Example 3

[0083] An embodiment of the present invention provides a computer-readable storage medium, on which a program for implementing information transmission is stored. When the program is executed by the processor 32, the steps described in the method embodiment are implemented.

[0084] The computer-readable storage medium in this embodiment includes, but is not limited to, ROM, RAM, magnetic disk or optical disk, etc.

[0085] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for estimating the first-order main frequency of a building, characterized in that: include: Organize the vibration data and building structure data of the building, use the massive data processing technology and the verified modal identification technology to perform modal identification on the collected data of each building, and obtain the first-order main frequency of each building; Based on the existing first-order main frequency empirical formula, according to the obtained first-order main frequency, statistically related parameter values ​​are obtained, the data points of the first-order main frequency empirical formula are supplemented, and a re-regression analysis is performed to obtain the revised first-order main frequency empirical formula of the building; Based on the revised first-order main frequency empirical formula, the first-order main frequency of the building is estimated.

2. The method according to claim 1, characterized in that The method further comprises: Based on the revised first-order main frequency empirical formula, relevant literature and measured data points are collected, the applicability and usability of the revised first-order main frequency empirical formula are analyzed, and the revised first-order main frequency empirical formula is verified through the data of the newly built building structure array.

3. The method according to claim 1, characterized in that The vibration data and building structure data of the building are sorted out, and the modal identification of each building data collected is performed using massive data processing technology and verified modal identification technology to obtain the first-order main frequency of each building, which specifically includes: Organize the building's vibration data and the building's height, aspect ratio, structural material, lateral load resistance factor, and vibration amplitude; Clean and preprocess the collected data to exclude outliers and data that do not meet the requirements; The massive data processing technology and verified modal identification technology are used to perform modal identification on the collected data of each building, and the first-order dominant frequency, i.e., the first-order dominant frequency, of each building is obtained.

4. The method according to claim 1, characterized in that: Based on the existing first-order dominant frequency empirical formula, the relevant parameter values ​​are statistically analyzed according to the first-order dominant frequency obtained, and a re-regression analysis is performed to obtain the revised first-order dominant frequency empirical formula of the building, which specifically includes: The following parameters were collected for each building: height H, aspect ratio L / W, structural material, lateral load resistance coefficient C, and vibration amplitude A; Based on the existing first-order dominant frequency empirical formula, according to the obtained first-order dominant frequency, SPSS software was used to perform Pearson correlation analysis to determine the correlation between each parameter and the first-order dominant frequency, the data points of the first-order dominant frequency empirical formula were supplemented, and a multivariate linear regression model was constructed to analyze the influence of the parameters on the first-order dominant frequency; According to the regression analysis results, the first-order dominant frequency empirical formula of the building revision as described in Formula 1 is constructed: T1=α·H b (L / W) c .C d ·e fA Formula 1; Among them, T1 represents the first-order main frequency, a, b, c, d, and f are unknown coefficients, a=0.1, b=0.5, c=-0.2, d=0.3, and f=0.

1.

5. A first-order main frequency estimation device for a building, characterized in that: include: The processing module is used to organize the vibration data and building structure data of the building, and use the massive data processing technology and the verified modal identification technology to perform modal identification on the collected data of each building to obtain the first-order main frequency of each building; An analysis module is used to, based on the existing first-order main frequency empirical formula, calculate relevant parameter values ​​according to the obtained first-order main frequency, supplement the data points of the first-order main frequency empirical formula, and perform a re-regression analysis to obtain a revised first-order main frequency empirical formula for the building; The estimation module is used to estimate the first-order main frequency of the building based on the revised first-order main frequency empirical formula.

6. The device according to claim 5, characterized in that The device further comprises: The verification module is used to collect relevant literature and measured data points based on the revised first-order main frequency empirical formula, analyze the applicability and usability of the revised first-order main frequency empirical formula, and verify the revised first-order main frequency empirical formula through the data of the newly built building structure array.

7. The device according to claim 5, characterized in that The processing module is specifically used for: Organize the building's vibration data and the building's height, aspect ratio, structural material, lateral load resistance factor, and vibration amplitude; Clean and preprocess the collected data to exclude outliers and data that do not meet the requirements; The massive data processing technology and verified modal identification technology are used to perform modal identification on the collected data of each building, and the first-order dominant frequency, i.e., the first-order dominant frequency, of each building is obtained.

8. The device according to claim 5, characterized in that The analysis module is specifically used for: The following parameters were collected for each building: height H, aspect ratio L / W, structural material, lateral load resistance coefficient C, and vibration amplitude A; Based on the existing first-order dominant frequency empirical formula, according to the obtained first-order dominant frequency, SPSS software was used to perform Pearson correlation analysis to determine the correlation between each parameter and the first-order dominant frequency, the data points of the first-order dominant frequency empirical formula were supplemented, and a multivariate linear regression model was constructed to analyze the influence of the parameters on the first-order dominant frequency; According to the regression analysis results, the first-order dominant frequency empirical formula of the building revision as described in Formula 1 is constructed: T1=αH b (L / W) c .C d ·e fA Formula 1; Among them, T1 represents the first-order main frequency, a, b, c, d, and f are unknown coefficients, a=0.1, b=0.5, c=-0.2, d=0.3, and f=0.

1.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the steps of the first-order main frequency estimation method of a building as described in any one of claims 1 to 4 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an implementation program for information transmission, and when the program is executed by a processor, the steps of the first-order main frequency estimation method for a building as described in any one of claims 1 to 4 are implemented.

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