Design response spectrum calibration method for shock resistance evaluation of electrical equipment in frozen earth region

Abstract

The invention relates to a design response spectrum calibration method for shock resistance evaluation of electrical equipment in a frozen earth region. The method comprises the following steps: acquiring seismic record waves of a non-frozen soil area and seismic record waves of a frozen soil area, and extracting a seismic average response spectrum of the non-frozen soil area and a seismic average response spectrum of the frozen soil area; according to the distance between the seismic fault and the site of the power transmission station and an anti-seismic standard, determining and based on the value range of the platform value and the characteristic period in the seismic average response spectrum of the non-frozen soil region, and determining the initial value range of the platform value and the characteristic period in the seismic average response spectrum of the frozen soil region; determining an amplification coefficient spectrum corresponding to the earthquake average response spectrum of the frozen soil region; refining the value range of the steps by adopting a differential evolution algorithm; and according to the refined initial value range and the amplification coefficient spectrum, determining a design response spectrum for shock resistance evaluation of the electrical equipment in the frozen earth region. The method can realize shock resistance evaluation of the electrical equipment in the frozen earth region.

Description

Technical Field

[0001] The present application relates to the technical field of earthquake-resistant design, and in particular to a design response spectrum calibration method for earthquake-resistant evaluation of electrical equipment in frozen soil areas. Background Art

[0002] With the development of the power system, plateau areas are expected to become important AC and DC ultra-high voltage power transmission bases due to their huge hydropower resources, including the construction of multiple substations and converter stations located in high-altitude areas.

[0003] However, the complex geological conditions in this area, such as the distribution of earthquake faults and the presence of seasonal frozen soil, have brought challenges to the construction and operation of power facilities. In particular, in terms of seismic design, due to the lack of a specific design response spectrum suitable for high-altitude frozen soil areas, there are many technical difficulties in the construction of power transmission and transformation projects in plateau frozen soil areas. Summary of the invention

[0004] Based on this, it is necessary to provide a design response spectrum calibration method for seismic resistance assessment of electrical equipment in frozen soil areas to address the above technical issues.

[0005] In a first aspect, the present application provides a design response spectrum calibration method for seismic resistance assessment of electrical equipment in frozen areas, the method comprising:

[0006] Collect earthquake recorded waves in non-frozen soil areas and earthquake recorded waves in frozen soil areas, and extract the average earthquake response spectrum in non-frozen soil areas and the average earthquake response spectrum in frozen soil areas;

[0007] According to the distance between the earthquake fault and the transmission station site and the seismic code, the value range of the platform value and characteristic period in the earthquake average response spectrum in the non-frozen soil area is determined;

[0008] Based on the value ranges of platform values ​​and characteristic periods in the earthquake average response spectrum in non-frozen soil areas, determine the preliminary value ranges of platform values ​​and characteristic periods in the earthquake average response spectrum in frozen soil areas, and determine the amplification factor spectrum corresponding to the earthquake average response spectrum in frozen soil areas;

[0009] Based on the amplification coefficient spectrum, the differential evolution algorithm is used to refine the preliminary value range of the platform value and characteristic period in the earthquake average response spectrum in the frozen soil area.

[0010] According to the preliminary value range and amplification factor spectrum of the platform value and characteristic period in the refined earthquake average response spectrum of the frozen soil area, the design response spectrum for seismic resistance assessment of electrical equipment in frozen soil areas is determined.

[0011] In one embodiment, before the step of using a differential evolution algorithm to refine the preliminary value range of the platform value and characteristic period in the earthquake average response spectrum of the frozen soil area based on the amplification coefficient spectrum, the method includes:

[0012] Collect the shear wave velocity and rock cover thickness of the transmission station site to determine the site category of the transmission station site;

[0013] According to the site category and seismic code, determine the seismic safety constraint range of the platform value and characteristic period in the earthquake average response spectrum of the frozen soil area;

[0014] When the preliminary value ranges of the platform values ​​and characteristic periods in the average earthquake response spectrum in the frozen soil area are within the seismic safety constraint range, the differential evolution algorithm is used to refine the preliminary value ranges of the platform values ​​and characteristic periods in the average earthquake response spectrum in the frozen soil area.

[0015] In one embodiment, a differential evolution algorithm is used to refine the preliminary value range of the platform value and characteristic period in the earthquake average response spectrum of the frozen soil area, including:

[0016] Extract several values ​​from the preliminary value range;

[0017] The first parameter in the average earthquake response spectrum of the frozen soil area is set to several values ​​in turn, and the differential evolution algorithm is used to calibrate it to obtain the value range of the second parameter that makes the objective function optimal.

[0018] The first parameter is a platform value or a characteristic period, the second parameter is a characteristic period or a platform value, and the parameter types of the first parameter and the second parameter are different.

[0019] In one embodiment, calibration is performed using a differential evolution algorithm, including:

[0020] According to the preset calibration formula and the preset objective function, the differential evolution algorithm is used for calibration, where the preset calibration formula is:

[0021]

[0022] Among them, β(T) represents the amplification factor spectrum, β max Represents the maximum value of the dynamic amplification factor, where β max= α max / k,α max is the platform value, indicating the earthquake influence coefficient, k is the earthquake coefficient, T 0 Indicates the first inflection point period, T g represents the characteristic period, T m represents the cut-off period, γ is the attenuation index of the descending section of the curve, where the parameter T 0 , T g, β max and γ are determined according to the principle of least squares method;

[0023] Among them, the preset objective function is:

[0024]

[0025] in, (T) represents the normalized earthquake response spectrum actually calculated, (T) is the calibrated earthquake response spectrum.

[0026] In one embodiment, collecting earthquake recorded waves in a non-frozen soil region and earthquake recorded waves in a frozen soil region, and extracting an average earthquake response spectrum in the non-frozen soil region and an average earthquake response spectrum in the frozen soil region, comprises:

[0027] Collect multiple groups of earthquake record waves in non-frozen soil areas and frozen soil areas, and determine the actual acceleration response spectrum corresponding to each group of earthquake record waves;

[0028] Based on the preset mathematical model, each actual acceleration response spectrum is fitted and analyzed, and the characteristic parameter B is determined by the least square method. 1,i , B 2,i and γ i ;

[0029] Among them, the preset mathematical model is:

[0030]

[0031] Among them, i=1, 2, ..., n, represents the number of fitted spectrum curves, characteristic period ;

[0032] Determine the weight of each actual acceleration response spectrum corresponding to the characteristic parameter;

[0033] According to the weight of each actual acceleration response spectrum, multiple actual acceleration response spectra are weighted to obtain the average earthquake response spectrum in the non-frozen soil area and the average earthquake response spectrum in the frozen soil area.

[0034] In one embodiment, according to the site category and seismic code, the seismic safety constraint range of the platform value and the characteristic period in the earthquake average response spectrum of the frozen soil area is determined, including:

[0035] Based on the pre-established numerical analysis model and amplification coefficient spectrum, the amplification effect of the frozen soil layer on the seismic wave is calculated, and based on the calculation results of the amplification effect, the seismic safety constraint range of the platform value and the characteristic period in the average earthquake response spectrum of the frozen soil area is determined.

[0036] In a second aspect, the present application also provides a design response spectrum calibration device for seismic resistance assessment of electrical equipment in frozen areas, the device comprising:

[0037] An acquisition module is used to acquire earthquake recorded waves in non-frozen soil areas and earthquake recorded waves in frozen soil areas, and extract earthquake average response spectra in non-frozen soil areas and earthquake average response spectra in frozen soil areas;

[0038] A first value range determination module is used to determine the value range of the platform value and the characteristic period in the earthquake average response spectrum of the non-frozen soil area according to the distance between the earthquake fault and the transmission station site and the seismic code;

[0039] The second value range determination module is used to determine the preliminary value range of the platform value and the characteristic period in the average earthquake response spectrum of the frozen soil area based on the value range of the platform value and the characteristic period in the average earthquake response spectrum of the non-frozen soil area, and determine the amplification factor spectrum corresponding to the average earthquake response spectrum of the frozen soil area;

[0040] The value range refinement module is used to refine the preliminary value range of the platform value and characteristic period in the earthquake average response spectrum of the frozen soil area based on the amplification coefficient spectrum using the differential evolution algorithm;

[0041] The design response spectrum determination module is used to determine the design response spectrum used for seismic resistance assessment of electrical equipment in frozen soil areas based on the preliminary value range and amplification factor spectrum of the platform value and characteristic period in the refined earthquake average response spectrum of the frozen soil area.

[0042] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method in the above embodiment when executing the computer program.

[0043] In a fourth aspect, the present application further provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method in the above embodiment are implemented.

[0044] In a fifth aspect, the present application also provides a computer program product, including a computer program, which implements the steps of the method in the above embodiment when the computer program is executed by a processor.

[0045] The above-mentioned design response spectrum calibration method for seismic resistance assessment of electrical equipment in frozen soil areas has at least the following beneficial effects:

[0046] By collecting and analyzing earthquake recorded waves in non-frozen areas and frozen areas, and combining the distance between the earthquake fault and the transmission station site and the seismic specifications, the seismic performance indicators of electrical equipment in frozen soil environments can be determined more accurately, thereby effectively improving the safety and reliability of electrical equipment in frozen soil areas when facing earthquakes. This method not only fills the technical gap in the calibration of seismic design response spectra in frozen soil areas, but also provides a scientific basis for the construction of power facilities at high altitudes and under complex geological conditions, helping to reduce potential losses caused by earthquakes. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0048] FIG1 is a schematic flow chart of a design response spectrum calibration method for seismic resistance assessment of electrical equipment in frozen soil regions according to an embodiment;

[0049] FIG2 is a structural block diagram of a design response spectrum calibration device for seismic resistance assessment of electrical equipment in frozen soil areas according to an embodiment;

[0050] FIG. 3 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0052] In an exemplary embodiment, as shown in FIG1 , a design response spectrum calibration method for seismic performance evaluation of electrical equipment in frozen regions is provided, comprising the following steps S102 to S110. In which:

[0053] S102, collecting earthquake recorded waves in the non-frozen soil area and the earthquake recorded waves in the frozen soil area, and extracting the earthquake average response spectrum in the non-frozen soil area and the earthquake average response spectrum in the frozen soil area.

[0054] Among them, non-frozen areas refer to those geographical areas that are not affected by seasonal or permafrost. Frozen areas refer to areas where the soil or other geological materials freeze in winter and partially or completely melt in summer, or in some cases, areas where the soil remains frozen for a long time. Earthquake recording waves are seismic wave data recorded by seismographs when an earthquake occurs. These data can be used to analyze the characteristics of earthquakes. The average earthquake response spectrum is a response spectrum of an average level calculated based on multiple groups of seismic recording waves, which is used to characterize the spectral characteristics of seismic motion at a specific location or under certain conditions. It should be noted that the earthquake recording wave data for frozen soil areas are mainly recorded data of earthquakes when there is frozen soil underground in the area. For permafrost areas, they can be collected. For seasonal frozen soil and biennial frozen soil areas, it is necessary to determine whether the earthquake records were recorded when the area was frozen.

[0055] For example, historical earthquake record data of non-frozen soil areas and frozen soil areas can be recorded by seismographs and stored in a database. By processing and analyzing these earthquake record waves, the respective earthquake average response spectra are extracted. In this process, multiple earthquake record wave data can be averaged to eliminate the randomness in a single earthquake record, thereby obtaining an average response spectrum that can represent the seismic characteristics of non-frozen soil areas and frozen soil areas. These earthquake average response spectra will serve as an important basis for determining the basic data of the design response spectrum in subsequent steps.

[0056] S104, determining the range of the platform value and the characteristic period in the earthquake average response spectrum in the non-frozen soil area according to the distance between the earthquake fault and the transmission station site and the seismic code.

[0057] Among them, earthquake fault refers to the fracture zone on the surface of the earth caused by plate movement. These fracture zones are usually the source of earthquake activities. Earthquake fault can refer to the earthquake record wave corresponding to the above earthquake record wave. The transmission station site refers to the location of the substation or converter station in the power transmission system. The distance between the earthquake fault and the transmission station site refers to the distance from the source of the earthquake activity (i.e., the fault) to the substation or converter station whose seismic performance needs to be evaluated. Seismic code: refers to the technical standards and guidelines formulated to ensure that buildings or other structures can remain stable and safe during expected earthquake activities. For example, it can refer to the "Code for Seismic Design of Buildings". In the earthquake response spectrum, the platform value refers to the acceleration value corresponding to the horizontal part of the response spectrum curve within a specific frequency range. The characteristic period refers to the most influential vibration period in the earthquake motion, which is usually determined by factors such as the earthquake source characteristics and site conditions. The range of platform values ​​and characteristic periods refers to the reasonable range of platform values ​​and characteristic periods determined according to the seismic code and the conditions of a specific location.

[0058] For example, by collecting the distance information between the earthquake fault and the transmission station site, according to the equivalent magnitude, equivalent epicentral distance and site conditions given in the results of the earthquake safety evaluation of the project site, and corresponding to the relevant requirements in the "Code for Seismic Design of Buildings", the value range of the response spectrum platform value and characteristic period corresponding to the transmission station site is determined. If the distance between the earthquake fault and the station site cannot be accurately collected, the epicentral distance can be used as the distance value.

[0059] S106, based on the value ranges of the platform values ​​and characteristic periods in the earthquake average response spectrum in the non-frozen soil area, determine the preliminary value ranges of the platform values ​​and characteristic periods in the earthquake average response spectrum in the frozen soil area, and determine the amplification factor spectrum corresponding to the earthquake average response spectrum in the frozen soil area.

[0060] Exemplarily, by comparing and analyzing the difference between the average earthquake response spectrum in non-frozen soil areas and the average earthquake response spectrum in frozen soil areas, the selection range of platform values ​​and characteristic periods in the average earthquake response spectrum in frozen soil areas can be obtained, so that the value range of platform values ​​and characteristic periods in the average earthquake response spectrum in frozen soil areas includes the value range of the average earthquake response spectrum in non-frozen soil areas. At the same time, the response spectrum with a damping ratio of 5% is calculated for the average earthquake response spectrum in the frozen soil area, and the calculation period of the response spectrum is set to 10s to obtain the amplification factor spectrum corresponding to the average earthquake response spectrum in the frozen soil area.

[0061] S108, based on the amplification coefficient spectrum, a differential evolution algorithm is used to refine the preliminary value range of the platform value and characteristic period in the earthquake average response spectrum of the frozen soil area.

[0062] Among them, the differential evolution algorithm is an optimization algorithm used to find the global optimal solution. In this application, it is used to refine the parameter values ​​in the earthquake response spectrum.

[0063] S110, determining a design response spectrum for seismic resistance assessment of electrical equipment in frozen soil areas according to preliminary value ranges and amplification factor spectra of platform values ​​and characteristic periods in the refined earthquake average response spectrum of the frozen soil area.

[0064] Among them, the design response spectrum used for seismic resistance assessment of electrical equipment in frozen areas refers to the earthquake response spectrum designed for electrical equipment in frozen areas, which is used to evaluate the seismic performance of these equipment when encountering earthquakes and ensure their reliability and safety in earthquakes.

[0065] Exemplarily, based on the preliminary value range of the platform value and characteristic period in the refined average earthquake response spectrum of the frozen soil area obtained in the previous step, combined with the amplification factor spectrum, a comprehensive analysis is conducted on the influence of these parameters on the seismic motion, and the design response spectrum suitable for the seismic resistance assessment of electrical equipment in the frozen soil area is determined, so as to guide the seismic design of electrical equipment in the transmission station.

[0066] The above-mentioned design response spectrum calibration method for seismic resistance assessment of electrical equipment in frozen soil areas can more accurately determine the seismic performance indicators of electrical equipment in frozen soil environments by collecting and analyzing earthquake recorded waves in non-frozen soil areas and frozen soil areas, and combining the distance between the earthquake fault and the transmission station site and the seismic resistance specifications, thereby effectively improving the safety and reliability of electrical equipment in frozen soil areas when facing earthquakes. This method not only fills the technical gap in the calibration of seismic design response spectra in frozen soil areas, but also provides a scientific basis for the construction of power facilities at high altitudes and under complex geological conditions, which helps to reduce potential losses caused by earthquakes.

[0067] In an exemplary embodiment, before the step of using a differential evolution algorithm to refine the preliminary value range of the platform value and characteristic period in the earthquake average response spectrum of the frozen soil area based on the amplification coefficient spectrum, the method includes:

[0068] Collect the shear wave velocity and rock cover thickness of the transmission station site to determine the site category of the transmission station site;

[0069] According to the site category and seismic code, determine the seismic safety constraint range of the platform value and characteristic period in the earthquake average response spectrum of the frozen soil area;

[0070] When the preliminary value ranges of the platform values ​​and characteristic periods in the average earthquake response spectrum in the frozen soil area are within the seismic safety constraint range, the differential evolution algorithm is used to refine the preliminary value ranges of the platform values ​​and characteristic periods in the average earthquake response spectrum in the frozen soil area.

[0071] Among them, the shear wave velocity refers to the speed at which seismic shear waves (S waves) propagate in soil or rock, and is commonly used to evaluate the rigidity and stability of geological materials. The shear wave velocity is an important parameter for judging the geological conditions of the site and is crucial for evaluating the impact of seismic motion. The thickness of the rock cover refers to the thickness of the loose sediments or weak rock layers covering the hard bedrock. The thickness of the rock cover will affect the propagation characteristics of seismic waves, and thus affect the intensity and duration of ground motion. According to the shear wave velocity and the thickness of the rock cover, the site where the transmission station is located can be divided into different categories. These categories are usually related to the geological conditions of the site. The response characteristics of different categories of sites in earthquakes will be different, which is crucial for determining the design response spectrum. The seismic safety constraint range is an allowable range determined according to the site category and seismic code, which aims to ensure the structural safety of the transmission station site when encountering an earthquake. This range defines the value range of the platform value and the characteristic period to ensure that the design response spectrum is within a reasonable range, thereby ensuring the seismic performance of electrical equipment under earthquake action.

[0072] Exemplarily, shear waves are used to measure the shear wave velocity of underground rocks and the thickness of rock cover in the area of ​​the transmission station site, and the corresponding site category is found according to the "Code for Seismic Design of Buildings". The test method can select a single-hole method, a cross-hole method or a surface wave method according to the specific conditions of the site. Based on the site category, the "Code for Seismic Design of Buildings" is used to determine the seismic safety constraint range of the platform value and the characteristic period in the average earthquake response spectrum in the frozen soil area by looking up the table, and then by comparing the seismic safety constraint range with the preliminary value range, it is verified whether the preliminary value range is within the seismic safety constraint range. If the preliminary value range meets the seismic safety constraint, the differential evolution algorithm is further used to optimize these parameters, so as to obtain a more accurate and reliable platform value and characteristic period value range in the average earthquake response spectrum in the frozen soil area, so as to ensure that the seismic design of electrical equipment is more scientific and reasonable.

[0073] In this embodiment, the site category is determined by collecting the shear wave velocity and rock cover thickness of the transmission station site, and the seismic safety constraint range is set in combination with the seismic code to ensure that the platform value and characteristic period of the design response spectrum fall within a reasonable range, thereby improving the safety and reliability of electrical equipment in earthquakes. This not only enhances the scientificity and accuracy of the design, but also provides solid technical support for the construction of power facilities in frozen soil areas, reducing the impact of earthquake disasters on the power system.

[0074] In an exemplary embodiment, the differential evolution algorithm is used to refine the preliminary value range of the platform value and characteristic period in the earthquake average response spectrum of the frozen soil area, including:

[0075] Extract several values ​​from the preliminary value range;

[0076] The first parameter in the average earthquake response spectrum of the frozen soil area is set to several values ​​in turn, and the differential evolution algorithm is used to calibrate it to obtain the value range of the second parameter that makes the objective function optimal.

[0077] The first parameter is a platform value or a characteristic period, the second parameter is a characteristic period or a platform value, and the parameter types of the first parameter and the second parameter are different.

[0078] For example, according to the preliminary value range of the platform value in the average earthquake response spectrum in the frozen soil area, the value range is refined, several values ​​covering the value range are taken, the platform value is fixed, and the platform value is successively set equal to the several values ​​in the value range, and the differential evolution algorithm is used for calibration, thereby obtaining the value range of other calibration parameters (such as characteristic period). It is also possible to refine the value range of the characteristic period in the average earthquake response spectrum in the frozen soil area, take several values ​​covering the value range, fix the characteristic period value, and successively set the characteristic period equal to the several values ​​in the value range, and use the differential evolution method for calibration, thereby obtaining the value range of other calibration parameters (such as platform value).

[0079] In this embodiment, a differential evolution algorithm is used to refine the preliminary value ranges of the platform values ​​and characteristic periods in the average earthquake response spectrum in the frozen soil area, thereby ensuring the accuracy and rationality of these key parameters in the optimization process, thereby improving the accuracy and reliability of the seismic design of electrical equipment. It can not only effectively find the parameter combination that optimizes the objective function, but also adapt to the special geological conditions of the frozen soil area, provide a scientific basis for the seismic performance evaluation of electrical equipment, and enhance the safety and stability of power facilities in a seismic environment.

[0080] In an exemplary embodiment, calibration is performed using a differential evolution algorithm, including:

[0081] According to the preset calibration formula and the preset objective function, the differential evolution algorithm is used for calibration, where the preset calibration formula is:

[0082]

[0083] Among them, β(T) represents the amplification factor spectrum, β max Represents the maximum value of the dynamic amplification factor, where β max= α max / k,α max is the platform value, indicating the earthquake influence coefficient, k is the earthquake coefficient, T 0 Indicates the first inflection point period, T g represents the characteristic period, T m represents the cut-off period, γ is the attenuation index of the descending section of the curve, where the parameter T 0 , T g , β max and γ are determined according to the principle of least squares method;

[0084] Among them, the preset objective function is:

[0085]

[0086] in, (T) represents the normalized earthquake response spectrum actually calculated, (T) is the calibrated earthquake response spectrum.

[0087] For example, the calibration process of the differential evolution algorithm for response spectrum calibration can be expressed as follows: Step 1: Input the response spectrum to be calibrated (T), set the initial range of characteristic parameters; Step 2, randomly generate S groups of t-generation characteristic parameters, denoted as vector x; Step 3, determine whether the objective function has reached the maximum evolutionary generation or whether the objective function has reached the set value, if so, obtain the optimal solution for the calibration parameters, otherwise proceed to the next step. Step 4, mutate the S group vector x to obtain new characteristic parameters, denoted as vector v. Step 5, cross the S group vectors x and v to obtain new characteristic parameters, denoted as vector u; Step 6, select and calculate the S group vectors x and u to obtain a new vector ,Depend on Assign the value of x; Step seven, go to step three until the conditions are met and output the optimal fitting solution.

[0088] In this embodiment, by optimizing the calibration formula using a differential evolution algorithm, key parameters in the earthquake response spectrum (such as platform value, characteristic period, etc.) can be effectively determined, and the accuracy of the calibration result can be evaluated through a preset objective function, which not only improves the accuracy and efficiency of the earthquake response spectrum calibration, but also ensures that the obtained design response spectrum can better reflect the actual seismic motion characteristics of frozen areas, thereby providing a more scientific and reliable basis for the seismic design of electrical equipment and enhancing the safety and stability of power facilities in a seismic environment.

[0089] In an exemplary embodiment, collecting earthquake recorded waves in a non-frozen soil region and earthquake recorded waves in a frozen soil region, and extracting an average earthquake response spectrum in the non-frozen soil region and an average earthquake response spectrum in the frozen soil region include:

[0090] Collect multiple groups of earthquake record waves in non-frozen soil areas and frozen soil areas, and determine the actual acceleration response spectrum corresponding to each group of earthquake record waves;

[0091] Based on the preset mathematical model, each actual acceleration response spectrum is fitted and analyzed, and the characteristic parameter B is determined by the least square method. 1,i , B 2,i and γ i ;

[0092] Among them, the preset mathematical model is:

[0093]

[0094] Among them, i=1, 2, ..., n, represents the number of fitted spectrum curves, characteristic period ;

[0095] Determine the weight of each actual acceleration response spectrum corresponding to the characteristic parameter;

[0096] According to the weight of each actual acceleration response spectrum, multiple actual acceleration response spectra are weighted to obtain the average earthquake response spectrum in the non-frozen soil area and the average earthquake response spectrum in the frozen soil area.

[0097] For example, based on the collected multiple sets of seismic waves in non-frozen soil areas and frozen soil areas, the seismic waves are converted into peak acceleration values ​​at different periods to form a series of response spectrum curves, so as to extract the actual acceleration response spectrum data that can be used for subsequent analysis from the seismic waves, laying the foundation for subsequent fitting analysis and characteristic parameter determination. Then, referring to the "Code for Seismic Design of Buildings", let T 1 =0.1s, and when fitting, 50 inflection point periods T are set within the range of 0.1<T<3.0s 2 , and use the least squares method to determine the characteristic parameters B 1,i , B 2,i and γ i Next, the weight of each actual acceleration response spectrum is determined based on the quality, relevance and other factors of the data (such as the intensity of the earthquake, the distance from the site, etc.), and then each actual acceleration response spectrum is weighted according to its weight, that is, each response spectrum is summed up according to its weight, so as to obtain the average earthquake response spectrum in non-frozen soil areas and frozen soil areas.

[0098] In this embodiment, by systematically collecting and analyzing earthquake recorded waves in non-frozen areas and frozen areas, and using a preset mathematical model and the least squares method to determine characteristic parameters, and then obtaining an average earthquake response spectrum through weighted processing, it is ensured that the obtained average earthquake response spectrum can more accurately reflect the characteristics of seismic motion under different geological conditions, thereby providing a more scientific and reliable basis for the seismic design of electrical equipment and enhancing the safety and stability of power facilities in a seismic environment.

[0099] In an exemplary embodiment, according to the site category and seismic code, the seismic safety constraint range of the platform value and the characteristic period value range in the earthquake average response spectrum of the frozen soil area is determined, including:

[0100] Based on the pre-established numerical analysis model and amplification coefficient spectrum, the amplification effect of the frozen soil layer on the seismic wave is calculated, and based on the calculation results of the amplification effect, the seismic safety constraint range of the platform value and the characteristic period in the average earthquake response spectrum of the frozen soil area is determined.

[0101] Exemplarily, after the site category is determined, based on the calculation method of the amplification effect corresponding to the site category, the physical property parameters related to the frozen soil in the area where the transmission station is located, as well as the geological stratification of the area where the transmission station is located are collected. The physical property parameters require geotechnical tests at different temperatures to obtain the mechanical properties of frozen soil at different times. The mechanical properties of frozen soil include the shear modulus and damping ratio of frozen soil under different dynamic load frequencies, confining pressures, temperatures and freeze-thaw cycles. A "frozen soil-bedrock" research object is established, a numerical analysis model is established, the amplification effect of the frozen soil layer on seismic waves is calculated, and based on the calculation results of the amplification effect, the seismic safety constraint range of the platform value and the characteristic period in the average earthquake response spectrum of the frozen soil area is determined.

[0102] In this embodiment, by collecting the physical property parameters of the frozen soil body and establishing a "frozen soil-bedrock" numerical analysis model, the amplification effect of the frozen soil layer on the seismic wave is calculated, so as to accurately determine the platform value in the average earthquake response spectrum of the frozen soil area and the seismic safety constraint range of the characteristic period, thereby ensuring the scientificity and reliability of the seismic design of electrical equipment and effectively improving the safety and stability of power facilities in a seismic environment.

[0103] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0104] Based on the same inventive concept, the embodiment of the present application also provides a design response spectrum calibration device for seismic resistance evaluation of electrical equipment in frozen soil areas, which is used to implement the design response spectrum calibration method for seismic resistance evaluation of electrical equipment in frozen soil areas involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations of one or more embodiments of the design response spectrum calibration device for seismic resistance evaluation of electrical equipment in frozen soil areas provided below can be referred to the limitations of the design response spectrum calibration method for seismic resistance evaluation of electrical equipment in frozen soil areas above, and will not be repeated here.

[0105] In an exemplary embodiment, as shown in FIG2 , a design response spectrum calibration device for seismic resistance assessment of electrical equipment in frozen areas is provided, comprising:

[0106] The acquisition module 202 is used to acquire the earthquake recorded waves in the non-frozen soil area and the earthquake recorded waves in the frozen soil area, and extract the earthquake average response spectrum in the non-frozen soil area and the earthquake average response spectrum in the frozen soil area;

[0107] A first value range determination module 204 is used to determine the value range of the platform value and the characteristic period in the earthquake average response spectrum of the non-frozen soil area according to the distance between the earthquake fault and the transmission station site and the seismic code;

[0108] The second value range determination module 206 is used to determine the preliminary value range of the platform value and the characteristic period in the average earthquake response spectrum of the frozen soil area based on the value range of the platform value and the characteristic period in the average earthquake response spectrum of the non-frozen soil area, and determine the amplification factor spectrum corresponding to the average earthquake response spectrum of the frozen soil area;

[0109] A value range refinement module 208 is used to refine the preliminary value range of the platform value and characteristic period in the earthquake average response spectrum of the frozen soil area by using a differential evolution algorithm based on the amplification coefficient spectrum;

[0110] The design response spectrum determination module 210 is used to determine the design response spectrum for seismic resistance assessment of electrical equipment in frozen soil areas according to the preliminary value range and amplification factor spectrum of the platform value and characteristic period in the refined earthquake average response spectrum of the frozen soil area.

[0111] In an exemplary embodiment, the design response spectrum calibration device for seismic resistance assessment of electrical equipment in frozen areas further includes:

[0112] The site category determination module is used to collect the shear wave velocity and rock cover thickness of the transmission station site to determine the site category of the transmission station site;

[0113] A module for determining the seismic safety constraint range, which is used to determine the seismic safety constraint range of the platform value and the characteristic period in the earthquake average response spectrum in the frozen soil area according to the site category and seismic code;

[0114] The value range comparison module is used to refine the preliminary value range of the platform value and the characteristic period in the earthquake average response spectrum in the frozen soil area by using the differential evolution algorithm when the preliminary value range of the platform value and the characteristic period in the earthquake average response spectrum in the frozen soil area is within the seismic safety constraint range.

[0115] In an exemplary embodiment, the value range refinement module 208 includes:

[0116] A value taking unit, used to extract a number of values ​​from a preliminary value range;

[0117] A value range determination unit is used to sequentially set the first parameter in the earthquake average response spectrum of the frozen soil area to be equal to a plurality of values, and calibrate it using a differential evolution algorithm to obtain a value range of the second parameter that optimizes the objective function;

[0118] The first parameter is a platform value or a characteristic period, the second parameter is a characteristic period or a platform value, and the parameter types of the first parameter and the second parameter are different.

[0119] In an exemplary embodiment, the value range determining unit includes:

[0120] The calibration unit is used to calibrate using a differential evolution algorithm according to a preset calibration formula and a preset objective function, wherein the preset calibration formula is:

[0121]

[0122] Among them, β(T) represents the amplification factor spectrum, β max Represents the maximum value of the dynamic amplification factor, where β max= α max / k,α max is the platform value, indicating the earthquake influence coefficient, k is the earthquake coefficient, T 0 Indicates the first inflection point period, T g represents the characteristic period, T m represents the cut-off period, γ is the attenuation index of the descending section of the curve, where the parameter T 0 , T g , β max and γ are determined according to the principle of least squares method;

[0123] Among them, the preset objective function is:

[0124]

[0125] in, (T) represents the normalized earthquake response spectrum actually calculated, (T) is the calibrated earthquake response spectrum.

[0126] In an exemplary embodiment, the acquisition module 202 includes:

[0127] An actual acceleration response spectrum determination unit is used to collect multiple groups of earthquake record waves in non-frozen soil areas and frozen soil areas, and determine the actual acceleration response spectrum corresponding to each group of earthquake record waves;

[0128] The characteristic parameter determination unit is used to perform fitting analysis on each actual acceleration response spectrum based on a preset mathematical model and determine the characteristic parameter B using the least squares method. 1,i , B 2,i and γ i ;

[0129] Among them, the preset mathematical model is:

[0130]

[0131] Among them, i=1, 2, ..., n, represents the number of fitted spectrum curves, characteristic period ;

[0132] A weight determination unit, used to determine the weight of each actual acceleration response spectrum corresponding to the characteristic parameter;

[0133] The earthquake average response spectrum determination unit is used to weight multiple actual acceleration response spectra according to the weight of each actual acceleration response spectrum to obtain the earthquake average response spectrum of the non-frozen soil area and the earthquake average response spectrum of the frozen soil area.

[0134] In an exemplary embodiment, the seismic safety constraint range determination unit includes:

[0135] Based on the pre-established numerical analysis model and amplification coefficient spectrum, the amplification effect of the frozen soil layer on the seismic wave is calculated, and based on the calculation results of the amplification effect, the seismic safety constraint range of the platform value and the characteristic period in the average earthquake response spectrum of the frozen soil area is determined.

[0136] Each module in the above-mentioned design response spectrum calibration device for seismic resistance assessment of electrical equipment in frozen soil areas can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0137] In an exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be shown in FIG3. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, the memory, and the input / output interface are connected via a system bus, and the communication interface, the display unit, and the input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a design response spectrum calibration method for seismic resistance evaluation of electrical equipment in frozen areas is implemented. The display unit of the computer device is used to form a visually visible picture, and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a key, trackball, or touchpad provided on the computer device housing, or an external keyboard, touchpad, or mouse, etc.

[0138] Those skilled in the art will understand that the structure shown in FIG. 3 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0139] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0140] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0141] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0142] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0143] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0144] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A design response spectrum calibration method for seismic performance evaluation of electrical equipment in frozen areas, characterized in that: The method comprises: Collecting earthquake recorded waves in a non-frozen soil area and earthquake recorded waves in a frozen soil area, and extracting an average earthquake response spectrum in the non-frozen soil area and an average earthquake response spectrum in the frozen soil area; Determine the range of the platform value and the characteristic period in the earthquake average response spectrum of the non-frozen soil area according to the distance between the earthquake fault and the transmission station site and the seismic code; Based on the value ranges of the platform values ​​and characteristic periods in the earthquake average response spectrum of the non-frozen soil area, determine the preliminary value ranges of the platform values ​​and characteristic periods in the earthquake average response spectrum of the frozen soil area, and determine the amplification factor spectrum corresponding to the earthquake average response spectrum of the frozen soil area; Based on the amplification coefficient spectrum, a differential evolution algorithm is used to refine the preliminary value range of the platform value and characteristic period in the earthquake average response spectrum of the frozen soil area; According to the preliminary value range of the platform value and the characteristic period in the refined earthquake average response spectrum of the frozen soil area and the amplification factor spectrum, a design response spectrum for seismic resistance assessment of electrical equipment in frozen soil areas is determined.

2. The design response spectrum calibration method for seismic resistance assessment of electrical equipment in frozen soil areas according to claim 1 is characterized in that: Before the step of using a differential evolution algorithm to refine the preliminary value range of the platform value and characteristic period in the earthquake average response spectrum of the frozen soil region based on the amplification coefficient spectrum, the method includes: Collecting the shear wave velocity and rock cover thickness of the transmission station site to determine the site category of the transmission station site; Determining the seismic safety constraint range of the platform value and the characteristic period in the earthquake average response spectrum of the frozen soil area according to the site category and the seismic code; When the preliminary value ranges of the platform values ​​and characteristic periods in the earthquake average response spectrum of the frozen soil area are within the seismic safety constraint range, a differential evolution algorithm is used to refine the preliminary value ranges of the platform values ​​and characteristic periods in the earthquake average response spectrum of the frozen soil area.

3. The design response spectrum calibration method for seismic resistance assessment of electrical equipment in frozen soil areas according to claim 1 is characterized in that: The differential evolution algorithm is used to refine the preliminary value range of the platform value and characteristic period in the earthquake average response spectrum of the frozen soil area, including: Extracting a number of values ​​from the preliminary value range; Sequentially setting the first parameter in the earthquake average response spectrum of the frozen soil region equal to the plurality of values, and calibrating using a differential evolution algorithm to obtain a value range of the second parameter that optimizes the objective function; The first parameter is a platform value or a characteristic period, the second parameter is a characteristic period or a platform value, and the first parameter and the second parameter are of different parameter types.

4. The design response spectrum calibration method for seismic resistance assessment of electrical equipment in frozen soil areas according to claim 3 is characterized in that: The calibration using the differential evolution algorithm includes: According to the preset calibration formula and the preset objective function, the differential evolution algorithm is used for calibration, where the preset calibration formula is: Among them, β(T) represents the amplification factor spectrum, β max Represents the maximum value of the dynamic amplification factor, where β max= α max / k,α max is the platform value, represents the earthquake influence coefficient, k is the earthquake coefficient, T0 represents the first inflection point period, T g represents the characteristic period, T m represents the cut-off period, γ is the attenuation index of the descending section of the curve, where the parameters T0, T g , β max and γ are determined according to the principle of least squares method; Among them, the preset objective function is: in, (T) represents the normalized earthquake response spectrum actually calculated, (T) is the calibrated earthquake response spectrum.

5. The design response spectrum calibration method for seismic resistance assessment of electrical equipment in frozen soil areas according to claim 1 is characterized in that: The collecting of earthquake recorded waves in the non-frozen soil area and the earthquake recorded waves in the frozen soil area, and extracting the earthquake average response spectrum in the non-frozen soil area and the earthquake average response spectrum in the frozen soil area, comprises: Collect multiple groups of earthquake record waves in non-frozen soil areas and frozen soil areas, and determine the actual acceleration response spectrum corresponding to each group of earthquake record waves; Based on the preset mathematical model, each actual acceleration response spectrum is fitted and analyzed, and the characteristic parameter B is determined by the least square method. 1,i , B 2,i and γ i ; Among them, the preset mathematical model is: Among them, i=1, 2, ..., n, represents the number of fitted spectrum curves, characteristic period ; Determining the weight of each actual acceleration response spectrum corresponding to the characteristic parameter; The plurality of actual acceleration response spectra are weighted according to the weight of each actual acceleration response spectrum to obtain an average earthquake response spectrum of the non-frozen soil region and an average earthquake response spectrum of the frozen soil region.

6. The design response spectrum calibration method for seismic resistance assessment of electrical equipment in frozen soil areas according to claim 2 is characterized in that: The determining, according to the site category and the seismic code, the seismic safety constraint range of the platform value and the characteristic period in the earthquake average response spectrum of the frozen soil area includes: Based on the pre-established numerical analysis model and the amplification coefficient spectrum, the amplification effect of the frozen soil layer on the seismic wave is calculated, and based on the calculation result of the amplification effect, the seismic safety constraint range of the platform value and the characteristic period in the earthquake average response spectrum of the frozen soil area is determined.

7. A design response spectrum calibration device for seismic performance evaluation of electrical equipment in frozen areas, characterized in that: The device comprises: An acquisition module, used for acquiring earthquake recorded waves in non-frozen soil areas and earthquake recorded waves in frozen soil areas, and extracting the earthquake average response spectrum in the non-frozen soil areas and the earthquake average response spectrum in the frozen soil areas; A first value range determination module is used to determine the value range of the platform value and the characteristic period in the earthquake average response spectrum of the non-frozen soil area according to the distance between the earthquake fault and the transmission station site and the seismic code; A second value range determination module is used to determine the preliminary value range of the platform value and the characteristic period in the average earthquake response spectrum of the frozen soil area based on the value range of the platform value and the characteristic period in the average earthquake response spectrum of the non-frozen soil area, and determine the amplification factor spectrum corresponding to the average earthquake response spectrum of the frozen soil area; A value range refinement module, used to refine the preliminary value range of the platform value and characteristic period in the earthquake average response spectrum of the frozen soil area by using a differential evolution algorithm based on the amplification coefficient spectrum; The design response spectrum determination module is used to determine the design response spectrum for seismic resistance assessment of electrical equipment in frozen soil areas based on the platform value and the preliminary value range of the characteristic period in the refined earthquake average response spectrum of the frozen soil area and the amplification factor spectrum.

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

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

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

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