Stress analysis method for coupling structure of ground derrick and power tower

Abstract

The invention discloses a ground derrick and power tower coupling structure stress analysis method, and relates to the technical field of electric power engineering analys.The method comprises the steps that a load transformation matrix is constructed, dynamic loads are accurately decomposed in combination with the derrick installation inclination angle, and complex space load vectors collected by a sensor can be converted into complex space load vectors through the matrix; the method comprises the following steps of: converting into components with definite mechanical significance in axial direction, torsion and bending, clearly defining action forms of loads in all directions on a structure, and dynamically adjusting the weight of each load component based on a contribution degree quantization function and working condition self-adaptive weighting by taking stress response of a key part as a basis, the contribution degree function quantifies the component influence through the stress proportion, weighted calculation is carried out on related working condition parameters, the weighted stress of each component reflects the essential characteristics of the load and adapts to the real-time working condition, accurate and dynamic basic data are provided for subsequent stress analysis, and the complex stress of the coupling structure under multiple working conditions is accurately analyzed.

Description

Technical Field

[0001] This invention relates to the field of power engineering analysis technology, specifically a stress analysis method for a coupled structure of a ground-mounted gantry and a power tower. Background Technology

[0002] In power engineering construction, the ground-mounted gantry and power tower coupling structure is widely used in operations such as the erection of transmission line towers. In actual operation, this coupling structure will be subjected to dynamic loads under multiple working conditions, such as wind load, hoisting load, and self-weight. These loads are coupled with each other, making the stress state of the structure complex. Accurately analyzing its stress distribution is of great significance for ensuring structural safety, preventing failure accidents, and optimizing structural design. It is a technical problem that needs to be solved in the field of power engineering.

[0003] However, existing technologies have significant shortcomings in handling stress analysis of coupled structures. On the one hand, existing methods are often not accurate enough in decomposing dynamic loads under multiple conditions, failing to fully consider the coupling effect between loads and the dynamic changes of each load component under different conditions. This results in the axial, torsional, and bending components being decomposed failing to accurately reflect the actual stress situation. On the other hand, in the stress calculation and synthesis stage, the characteristics of high-frequency and low-frequency loads are not reasonably distinguished. The use of a single analysis method makes it difficult to take into account the differences in the impact of different frequency loads on structural stress, resulting in deviations between the stress distribution calculation results and the actual situation. This makes it impossible to provide a reliable basis for structural safety assessment and optimization design.

[0004] In summary, existing stress analysis methods for coupled structures of ground-mounted gantry poles and power towers have shortcomings in terms of load decomposition accuracy and load characteristic differentiation, and cannot meet the engineering requirements for accurate analysis of structural mechanical performance. Therefore, there is an urgent need for a new stress analysis method to improve the accuracy and reliability of stress analysis of coupled structures and ensure the safety of power engineering construction and operation. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of existing technologies and provide a stress analysis method for coupled structures of ground-mounted gantry poles and power towers. This method can accurately decompose dynamic loads into axial, torsional, and bending components by constructing a load transformation matrix and combining it with the parameters of the gantry pole's installation inclination angle. Simultaneously, based on a contribution quantification function and adaptive weighted calculation under operating conditions, it considers the actual contribution of each load component to the coupled structure and the dynamic changes in operating conditions, making the weighted stress more closely reflect the actual stress. This process makes the basic data for subsequent stress analysis more accurate, effectively improving the analytical capability for complex stress states of coupled structures and providing a reliable basis for structural safety assessment.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a stress analysis method for a coupled structure of a ground-mounted scaffold pole and a power tower, wherein the specific steps of the method are as follows: S100, acquire the multi-working condition dynamic load data of the seat ground holding pole and power tower coupling structure in the actual working process, the multi-working condition dynamic load includes but is not limited to wind load, hoisting load, self weight; S200, decompose the acquired dynamic load into axial, torsional and bending components 、 、 , and calculate the contribution degree of each component to the coupling structure by establishing a contribution quantification function , based on the contribution degree, perform working condition adaptive weighting calculation to obtain the weighted stress corresponding to each component ; S300, judge the frequency characteristics of each load in the decomposed axial, torsional and bending components, determine the load with a frequency higher than a set threshold as a high frequency load , and determine the load with a frequency lower than a set threshold as a low frequency load ; S400, for the high frequency load , use the frequency domain power spectrum analysis method, combined with the corresponding weighted stress , calculate the stress distribution in the frequency domain , for the low frequency load , use time history integration, combined with the corresponding weighted stress , calculate the stress distribution in the time domain ; S500, by establishing a coupling equation, combine the frequency domain stress distribution of the high frequency load and the time domain stress distribution of the low frequency load to obtain the final stress distribution of the seat ground holding pole and power tower coupling structure.

[0007] Further, the S100 is installed at the stress part of the seat ground holding pole and power tower coupling structure, including the top of the holding pole, the connection between the holding pole and the power tower, and the position of the key node of the power tower. Force sensors, acceleration sensors and wind speed and direction sensors are respectively installed; The force sensor is used to measure the force generated by the hoisting load and the self weight of the structure; The acceleration sensor is used to monitor the vibration of the structure under the action of dynamic load to assist in analyzing the load characteristics; The wind speed and direction sensor is used to acquire wind load data; Each sensor collects data in real time, and transmits the data to a data processing terminal for storage through a wireless transmission method; The data processing terminal filters the data to remove noise interference and obtains the multi-working condition dynamic load data.

[0008] Further, the specific steps of the S200 are as follows: S201, define the sensor coordinate system of the stress part of the tower and the coupling structure of the tower, establish the conversion relationship between the sensor coordinate system and the mechanical analysis coordinate system of the tower, and measure the actual installation inclination of the tower , for constructing the transformation matrix ; S202, represent the obtained dynamic load data in multiple working conditions as a dynamic load vector in the sensor coordinate system , where represents time, and the dynamic load vector is decomposed into components corresponding to each mode, i.e. , where represents the axial load component, along the axis direction of the tower, represents the torsional load component, which twists the tower around the axis, represents the bending load component, which is perpendicular to the axis of the tower; S203, the contribution quantification function determines the contribution by calculating the ratio of the stress response caused by each component to the total stress response ; S204, dynamically adjust the weight coefficient of each component according to the real-time working condition parameters , the weight coefficient is proportional to the contribution and inversely proportional to the structural safety margin, and finally the weighted stress corresponding to each component is obtained.

[0009] Further, the contribution quantification function in S203 is: , where represents the contribution of the th load component at time , represents the axial direction, represents the torsion, represents the bending, represents the stress value caused by the th load component in the coupling structure, represents the sum of the stress values caused by the axial, torsional and bending load components; The weight coefficient in S204 is: , where represents the weight coefficient of the th load component at time , is the contribution of the th load component at time , is the safety margin of the structure at time When the actual force of the structure is less than its ultimate bearing capacity, the structure is in a safe state, when When the actual force of the structure reaches its ultimate bearing capacity, the structure is in a critical state, when When the actual force of the structure exceeds its ultimate bearing capacity, the structure is in an unsafe state, and the weight coefficient is used to weight each load component to obtain the weighted stress corresponding to each component , wherein, represents the weighted stress of the th load component at time , is determined as high-frequency weighted stress for time-domain weighted stress ,

[0010] Further, the specific steps of the S300 are: S301, performing short-time Fourier transform (STFT) on the axial, torsional and bending components obtained by decomposition, , , to convert the time-domain load signal into a time-frequency domain representation and obtain the frequency distribution of each load component at different time points; S302, for each load component, extract its main frequency component and its corresponding energy intensity in the frequency distribution; , , represents the th frequency component, and the significance of each frequency component is determined by calculating the energy proportion ; S303, for the significant frequency components, classify them into high-frequency loads and low-frequency loads according to the frequency threshold , and decompose each load component into the superposition of high-frequency load components and low-frequency load components.

[0011] Further, the energy proportion in the S302 is: , wherein, represents the energy proportion of the th frequency component of the load component at time , is the energy intensity, which is used to measure the energy size of different frequency components in the load component , is the th frequency component, represents the load component In time First The energy intensity of each frequency component For this component In time The sum of the energy of all frequency components at a given point, when When determining the frequency component If a frequency component is significant, it is considered an interference frequency and discarded directly. S303 for each significant frequency component Make a judgment: when Then the load component corresponding to that frequency component is determined as the high-frequency load component. ,when Then the load component corresponding to that frequency component is determined as the low-frequency load component. , to divide each load component Decomposed into high-frequency load components and low-frequency load components The superposition form, that is ,in, , .

[0012] Furthermore, the S400 addresses the high-frequency load components. Combined with its corresponding weighted stress Frequency domain power spectrum analysis method is used to analyze the weighted stress. Perform a Fourier transform to obtain the frequency domain expression. ,in For frequency, Using the imaginary unit, construct the power spectral density function. , for The conjugate of the power spectral density function It is used to reflect the energy distribution of high-frequency weighted stress in the frequency domain, based on the power spectral density function, combined with the modal participation factor of the high-frequency load components. Calculate the stress distribution of high-frequency loads in the frequency domain. The frequency domain stress distribution of the overall high-frequency load is obtained by summing up the various high-frequency components. ; For low-frequency load components Combined with its corresponding weighted stress Using time history integration, from weighted stress Separate the low-frequency part ,right The time-domain stress is obtained by directly performing time history integration. ,in, At the initial moment of load application, For the current calculation time, is the integral variable, and the low-frequency components are summarized to obtain the time-domain stress distribution of the overall low-frequency load .

[0013] Further, the coupling equation of S500 is: wherein, is the final stress distribution of the coupling structure of the seat ground grab pole and the power tower at the spatial position , time , is an inverse Fourier transform, used to convert the frequency-domain stress of the high-frequency load back to the time domain, is a frequency-domain weight function, determined according to the energy proportion of the high-frequency load corresponding to the structure mode, and satisfies , is a time-domain correction coefficient, with a value range of [0.8, 1.2], used to correct the time-domain response of the low-frequency stress.

[0014] Compared with the prior art, the seat ground grab pole and power tower coupling structure stress analysis method has the following beneficial effects: The present application constructs a load transformation matrix, combines the installation inclination angle of the grab pole to accurately decompose the dynamic load, and uses the matrix to convert the complex spatial load vector collected by the sensor into axial, torsional and bending components with clear mechanical significance, clearly defines the action form of the load in each direction on the structure, and dynamically adjusts the weight of each load component based on the contribution quantification function and the working condition adaptive weighting, and the stress response of the key part is used as the basis. In this process, the contribution function quantifies the influence of the component by the stress proportion, and the working condition parameters are calculated by weighting, so that the weighted stress of each component not only reflects the essential characteristics of the load, but also adapts to the real-time working condition, providing accurate and dynamic basic data for subsequent stress analysis, so that the complex stress of the coupling structure under multiple working conditions can be accurately analyzed, and the potential stress concentration risk can be identified.

[0015] The present application adopts a frequency band analysis strategy according to the differences in high-frequency and low-frequency load characteristics, analyzes the high-frequency load by using frequency-domain power spectrum analysis combined with weighted stress, accurately captures the energy distribution and structure resonance characteristics in the frequency domain through Fourier transform, power spectrum construction and modal factor coupling, and clearly defines the dynamic excitation effect of the high-frequency load on the structure. The low-frequency load is analyzed by using time history analysis combined with weighted stress, and the frequency-domain and time-domain stress distributions are integrated through the coupling equation, so that the final stress distribution completely covers the action mechanism of the load of different frequencies, and provides accurate mechanical basis for the safety check, life prediction and optimization design of the coupling structure.

[0016] Additional advantages, objects, and features of the application will be apparent to those skilled in the art upon examination of the following detailed description, it being understood that each of the foregoing general statements are true of the particular embodiments thereof described below and of some, but not necessarily all, of the specific embodiments within the scope of the application. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the drawings required to be used in the embodiments or prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creative labor.

[0018] Figure 1 An operation flowchart of a stress analysis method for a seat ground holding pole and power tower coupling structure; Figure 2 An operation step diagram of a stress analysis method for a seat ground holding pole and power tower coupling structure. DETAILED DESCRIPTION

[0019] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined application purposes, the specific embodiments, structures, features and effects according to the present application will be described in detail below in combination with the drawings and preferred embodiments.

[0020] Embodiment one This embodiment provides the working principle of the overall steps of a stress analysis method for a seat ground holding pole and power tower coupling structure, as shown in Figure 2 The method realizes accurate analysis of the stress of the seat ground holding pole and power tower coupling structure through acquisition, decomposition, frequency characteristic judgment, stress distribution calculation and final synthesis of multi-working condition dynamic load data, and can effectively improve the analysis ability of the complex stress state of the coupling structure, providing reliable basis for structural safety evaluation.

[0021] Firstly, enter the multi-condition dynamic load data acquisition stage (S100), install force sensors, acceleration sensors and wind speed and direction sensors at the stress parts of the seat-ground holding pole and power tower coupling structure, the force sensors are used for measuring the hoisting load and the force generated by the structure dead weight, in the power engineering construction, the hoisting load and the structure dead weight are the main force sources directly acting on the coupling structure, the size and direction of which will directly affect the stress distribution of the structure, the acceleration sensors are used for monitoring the vibration of the structure under the action of dynamic load, the vibration can reflect the dynamic characteristics of the load, through the analysis of the vibration, the change frequency, amplitude and other information of the load can be understood, so that the load characteristics can be more comprehensively mastered, the wind speed and direction sensors are used for acquiring wind load data, the sensors collect data in real time, and the data is transmitted to the data processing terminal for storage through wireless transmission, the wireless transmission can ensure the real-time and reliability of data transmission, and avoid the wiring difficulty and fault problem caused by wired transmission, the data is filtered by the data processing terminal to remove noise interference, and multi-condition dynamic load data is obtained, the filtering is to eliminate the noise introduced in the data collection process of the sensor, the noise will interfere with the analysis of the real load data, and the filtering can improve the quality and accuracy of the data, and provide a reliable basis for subsequent analysis.

[0022] Then, enter the dynamic load decomposition and weighted calculation stage (S200), define the sensor self-coordinate system of the stress part of the seat-ground holding pole and power tower coupling structure, establish the conversion relationship between the sensor coordinate system and the holding pole structure mechanics analysis coordinate system, and measure the actual installation inclination angle of the holding pole , which is used for constructing the transformation matrix , the sensor self-coordinate system is determined according to the installation position and direction of the sensor, and the holding pole structure mechanics analysis coordinate system is established for mechanics analysis, since the installation position and direction of the sensor are inconsistent with the holding pole structure mechanics analysis coordinate system, the conversion relationship between the two is established, the actual installation inclination angle of the holding pole is measured, the transformation matrix can be more accurately constructed, so as to realize the conversion of the load data between the same coordinate systems, and the obtained multi-condition dynamic load data is expressed as the dynamic load vector in the sensor coordinate , wherein represents time, the dynamic load vector is decomposed into components corresponding to each mode, i.e. , wherein, represents the axial load component, along the axis direction of the holding pole, represents the torsional load component, which twists the holding pole around the axis, Indicates the bending load component, perpendicular to the boom axis, through this decomposition, the complex dynamic load is decomposed into axial, torsional, bending three basic components, which is convenient for subsequent individual analysis of each component, and calculation of the contribution of each component to the coupled structure The contribution quantification function is determined by calculating the ratio of the stress response caused by each component to the total stress response, specifically , wherein represents the contribution of the first load component at time , represents axial, represents torsion, represents bending, represents the stress value caused by the first load component in the coupled structure, represents the sum of the stress values caused by the axial, torsional and bending load components, by calculating the contribution, the contribution of each load component to the stress of the coupled structure at different time points can be understood, then, the weight coefficient of each component is dynamically adjusted according to the real-time working condition parameters The weight coefficient is proportional to the contribution and inversely proportional to the structure safety margin, specifically , wherein represents the weight coefficient of the first load component at time , is the contribution of the first load component at time , is the safety margin of the structure at time , which is used to measure the safety reserve degree of the structure under the current working condition, and is determined by the ratio between the ultimate bearing capacity of the structure and the actual stress, when >1, it means that the actual stress of the structure is less than its ultimate bearing capacity, and the structure is in a safe state; when =1, it means that the actual stress of the structure reaches its ultimate bearing capacity, and the structure is in a critical state; when <1, it means that the actual stress of the structure exceeds its ultimate bearing capacity, and the structure is in an unsafe state, by weighting each load component through the weight coefficient The corresponding weighted stress of each component is finally obtained , wherein represents the weighted stress of the first load component at time , this weighted calculation method can adjust the weight of each load component in real time according to the dynamic change of the working condition, so that the weighted stress is more consistent with the actual stress.

[0023] Secondly, entering the load frequency characteristic judgment stage (S300), the axial, torsion, bending components decomposed , , are subjected to short-time Fourier transform (STFT) to convert the time-domain load signals into time-frequency domain representation to obtain the frequency distribution of each load component at different time points, the short-time Fourier transform is used to convert the time-domain signal into time and frequency domain representation so that the frequency components of the signal at different time points can be analyzed, for each load component , the main frequency components in the frequency distribution and the corresponding energy intensity , are extracted , the energy proportion is calculated to judge the significance of each frequency component, the calculation formula of the energy proportion is , wherein, represents the energy proportion of the th frequency component of the load component at time , , is the energy intensity, which is used to measure the energy size of different frequency components in the load component , and , is the th frequency component, represents the energy intensity of the th frequency component of the load component at time , , is the energy sum of all frequency components of the component at time , , when , it is determined that the frequency component is a significant frequency component, otherwise it is considered as an interference frequency and is directly discarded, by calculating the energy proportion, it can be determined which frequency components are main and which are interference frequencies, thereby improving the accuracy of subsequent analysis, for each significant frequency component , judgment is made: when , the load part corresponding to the frequency component is determined as a high-frequency load component , when , the load part corresponding to the frequency component is determined as a low-frequency load component , each load component is decomposed into the superposition form of high-frequency load component and low-frequency load component , that is , wherein, By using this frequency characteristic judgment and decomposition method, the load components can be divided into high-frequency and low-frequency parts, so that different methods can be used to calculate the stress distribution.

[0024] Next, in the transition phase (S400), for the high-frequency load components... Combined with its corresponding weighted stress Frequency domain power spectrum analysis method is used to analyze the weighted stress. Perform a Fourier transform to obtain the frequency domain expression. ,in For frequency, Using the imaginary unit, construct the power spectral density function. , for The conjugate of the power spectral density function It is used to reflect the energy distribution of high-frequency weighted stress in the frequency domain, based on the power spectral density function, combined with the modal participation factor of the high-frequency load components. Calculate the stress distribution of high-frequency loads in the frequency domain. The frequency domain stress distribution of the overall high-frequency load is obtained by summing up the various high-frequency components. The frequency domain power spectrum analysis method effectively analyzes the energy distribution characteristics of high-frequency loads, thereby obtaining accurate frequency domain stress distribution; for low-frequency load components... Combined with its corresponding weighted stress Using time history integration, from weighted stress Separate the low-frequency part ,right The time-domain stress is obtained by directly performing time history integration. ,in, At the initial moment of load application, For the current calculation time, Using the integral variable, the time-domain stress distribution of the overall low-frequency load is obtained by summing up all low-frequency components. The time history integration method can accurately calculate the stress distribution of low-frequency loads in the time domain, taking into account the change of load over time.

[0025] Finally, the stress distribution synthesis stage (S500) is entered. By establishing coupling equations, the frequency domain stress distribution of the high-frequency load and the time domain stress distribution of the low-frequency load are synthesized to obtain the final stress distribution of the coupled structure of the ground-mounted scaffold and the power tower. The coupling equations are as follows: ,in, To synthesize the final stress distribution of the coupled structure between the rear-mounted ground-mounted mast and the power tower at spatial location y and time t, The inverse Fourier transform is used to convert the frequency domain stress of high-frequency loads back to the time domain. f) is a frequency domain weight function determined according to the energy proportion of high frequency load corresponding to the modal of the structure, and satisfies , and a(t) is a time domain correction coefficient, the value range of which is [0.8, 1, 2], used for correcting the time domain response of low frequency stress, and through the synthesis, the stress distribution of high frequency and low frequency load is reasonably synthesized, and the final stress distribution is obtained, so that the stress state of the seat ground holding pole and the power tower coupled structure in the actual working process is comprehensively and accurately reflected.

[0026] In summary, the seat ground holding pole and power tower coupled structure stress analysis method provided in the embodiment fully considers the coupling effect between loads and the dynamic change of each load component under different working conditions, can accurately analyze the stress distribution of the seat ground holding pole and the power tower coupled structure, effectively improves the accuracy and reliability of the stress analysis of the coupled structure, and meets the demand of the engineering on the accurate analysis of the mechanical properties of the structure.

[0027] Embodiment Two As shown in Figure 1 , the embodiment provides a working process of a seat ground holding pole and power tower coupled structure stress analysis method in seat ground holding pole and power tower coupled structure stress detection and analysis, and the specific steps of the process are as follows: Install force sensors, acceleration sensors and wind speed and direction sensors at the stress parts of the seat ground holding pole and the power tower coupled structure; The force sensors measure the force generated by the hoisting load and the self weight of the structure; The acceleration sensors monitor the vibration of the structure under the action of dynamic load to assist in analyzing the load characteristics; The wind speed and direction sensors obtain wind load data; Each sensor collects data in real time, and transmits the data to a data processing terminal for storage through a wireless transmission mode; The data processing terminal filters the data to remove noise interference, and obtains multi-working condition dynamic load data; Define the sensor coordinate system of the stress part, establish the conversion relationship between the sensor coordinate system and the pole structure mechanical analysis coordinate system, and measure the actual installation inclination angle of the pole, which is used to construct the transformation matrix; The obtained multi-working condition dynamic load data is expressed as a dynamic load vector in the sensor coordinate system, and then the dynamic load vector is decomposed into axial, torsional and bending components; The contribution degree of each component to the coupled structure is determined by calculating the ratio of the stress response caused by each component to the total stress response; The weight coefficients of each component are dynamically adjusted according to real-time working condition parameters, the weight coefficients are proportional to the contribution degrees and inversely proportional to the structural safety margin, and finally the corresponding weighted stresses of each component are obtained; The axial, torsional and bending components obtained by decomposition are subjected to short-time Fourier transform, so that the time-domain load signals are converted into time-frequency domain representation, and the frequency distribution of each load component at different time points is obtained; For each load component, the main frequency component and the corresponding energy intensity thereof are extracted in the frequency distribution, and the significance of each frequency component is judged by calculating the energy proportion; For the significant frequency component, it is classified into high-frequency load and low-frequency load according to the frequency threshold, and each load component is decomposed into the superposition form of high-frequency load component and low-frequency load component; For the high-frequency load component, in combination with the corresponding weighted stress, the stress distribution in the frequency domain is calculated by using the frequency domain power spectrum analysis method; For the low-frequency load component, in combination with the corresponding weighted stress, the stress distribution in the time domain is calculated by using time history integration; By establishing coupling equations, the frequency domain stress distribution of the high-frequency load and the time domain stress distribution of the low-frequency load are synthesized to obtain the final stress distribution of the seat-ground holding rod and the power tower coupled structure.

[0028] The above is only a preferred embodiment of the present application, and does not limit the present application in any form. Although the present application has been disclosed as above, it is not intended to limit the present application. Any person skilled in the art can make some changes or modifications to the above disclosed technical content to obtain equivalent embodiments with equivalent changes, without departing from the scope of the technical solution of the present application. Any modification, equivalent change and modification of the above embodiments made according to the technical essence of the present application, as long as it does not deviate from the technical solution of the present application, still belongs to the scope of the technical solution of the present application.

Claims

1. A method for analyzing stress of a structure coupling a seat-ground holding pole and a power tower, characterized by, Specific steps of the method are: S100, acquire multi-working condition dynamic load data of the seat ground holding pole and the power tower coupling structure in actual working process; S200, decompose the acquired dynamic load into axial, torsional and bending complex components , , , and calculate the contribution of each component to the coupling structure by establishing a contribution quantification function , based on the contribution degree, the working condition is adaptively weighted to obtain the corresponding weighted stress of each component , the specific steps of S200 are: S201, define the sensor self-coordinate system of the stress part of the tower and electric power tower coupling structure, establish the conversion relationship between the sensor coordinate system and the tower structure mechanical analysis coordinate system, and measure the actual installation inclination angle of the tower , for constructing the transformation matrix ; S202, representing the obtained multi-working-condition dynamic load data as a dynamic load vector in a sensor coordinate system wherein denotes time, decomposing the dynamic load vector into components corresponding to each mode, i.e. wherein, denotes an axial load component, along the axis direction of the pipe clamp, denotes a torsional load component, twisting the pipe clamp around the axis, denotes a bending load component, perpendicular to the axis of the pipe clamp; S203, the contribution quantification function determines the contribution degree by calculating the ratio of the stress response caused by each component to the total stress response ; S204、According to the real-time working condition parameters, dynamically adjust the weight coefficients of each component The weight coefficient is proportional to the contribution degree and inversely proportional to the structural safety margin, and finally the weighted stress corresponding to each component is obtained. S300, judge the frequency characteristic of each load in the decomposed axial, torsional, bending components, and determine the load with frequency higher than the set threshold as high-frequency load determine the load with frequency lower than the set threshold as low-frequency load ; S400、for high frequency load , using frequency domain power spectrum analysis method, combined with the corresponding said weighted stress , calculate its stress distribution in the frequency domain , for low frequency load , using time history integration, combined with the corresponding said weighted stress , calculate its stress distribution in the time domain ; S500, through establishing coupling equation, synthesize the frequency domain stress distribution of high frequency load and the time domain stress distribution of low frequency load, to obtain the final stress distribution of the seat ground holding pole and the power tower coupling structure.

2. The method according to claim 1, wherein, The S100 installs force sensor, acceleration sensor and wind speed and direction sensor respectively at stress parts of the seat ground holding pole and the power tower coupling structure; The force sensor is used for measuring force generated by hoisting load and structure dead weight; The acceleration sensor is used for monitoring vibration of the structure under dynamic load to assist in analyzing load characteristics; The wind speed and direction sensor is used for acquiring wind load data; Each sensor collects data in real time, and transmits the data to a data processing terminal for storage through wireless transmission mode; The data processing terminal filters and processes the data to remove noise interference, to obtain the multi-working condition dynamic load data.

3. The method of claim 1, wherein, The contribution metric function in S203 is: ,in, Indicates the first The load components in time Contribution Represents the axial direction. Represents a reversal, Represents bending, Indicates the first The stress values ​​caused by the various load components in the coupled structure It represents the sum of stress values ​​caused by the three load components: axial, torsional, and bending. The weight coefficient in S204 wherein, denotes the weight coefficient of the th load component at time , is the calculated contribution degree of the th load component at time , is the safety margin of the structure at time , used to measure the safety reserve degree of the structure under the current working condition, and each load component is weighted by the weight coefficient to finally obtain the weighted stress corresponding to each component wherein, denotes the weighted stress of the th load component at time , is determined as high-frequency weighted stress , otherwise as low-frequency weighted stress .

4. The method according to claim 1, wherein, Specific steps of the S300 are: S301. Analyze the axial, torsional, and bending components obtained from the decomposition. , , Perform a short-time Fourier transform (STFT) to convert the time-domain load signal into a time-frequency domain representation, and obtain the frequency distribution of each load component at different time points; S302, For each load component Extracting its main frequency components from the frequency distribution and its corresponding energy intensity , Indicates the first Each frequency component is calculated by determining its energy percentage. Determine the significance of each frequency component; S303, for significant frequency components by a frequency threshold are classified into high frequency loads and low frequency loads, and each load component is decomposed into a superposition form of a high frequency load component and a low frequency load component.

5. The method according to claim 4, wherein, Energy percentage in S302 ,in, Represents load components In time First The energy percentage of each frequency component Energy intensity, used to measure load components The energy magnitude of different frequency components and , It is the first Each frequency component Represents load components In time First The energy intensity of each frequency component For this component In time The sum of the energy of all frequency components at a given point, when When determining the frequency component If a frequency component is significant, it is considered an interference frequency and discarded directly. S303 determines whether the frequency component is a high frequency component or a low frequency component If yes, then the load part corresponding to the frequency component is determined as a high frequency load component If no, then the load part corresponding to the frequency component is determined as a low frequency load component If yes, then the load part corresponding to the frequency component is determined as a high frequency load component If no, then the load part corresponding to the frequency component is determined as a low frequency load component The load components are decomposed into a superposition of high frequency load components and low frequency load components wherein, , .​​​ 6. The method of claim 1, wherein, The S400 is for high frequency load component , combined with its corresponding weighted stress , using the frequency domain power spectrum analysis method, the weighted stress Fourier transform, get the frequency domain expression , wherein is the frequency, is the imaginary unit, the power spectrum density function , is The conjugate of, the power spectrum density function For reflecting the energy distribution of high frequency weighted stress in the frequency domain, based on the power spectrum density function, combined with the modal participation factor of high frequency load component , the stress distribution of high frequency load in the frequency domain is calculated , the frequency domain stress distribution of the overall high frequency load is obtained by summarizing each high frequency component ; For low-frequency load components Combined with its corresponding weighted stress Using time history integration, from weighted stress Separate the low-frequency part ,right The time-domain stress is obtained by directly performing time history integration. ,in, At the initial moment of load application, For the current calculation time, Using the integral variable, the time-domain stress distribution of the overall low-frequency load is obtained by summing up all low-frequency components. .

7. The method of claim 1, wherein, The coupling equation of the S500 is: wherein, is the final stress distribution of the coupling structure of the post-synthetic back-holding pole and the power tower at the spatial position , time , is an inverse Fourier transform for converting the frequency domain stress of the high frequency load back to the time domain, is a frequency domain weight function, is a time domain correction coefficient, with a value range of [0.8, 1.2], for correcting the time domain response of the low frequency stress.

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