Method and device for evaluating structural vulnerability based on ground motion spectrum and site condition

Abstract

This invention provides a method and apparatus for structural vulnerability assessment based on seismic motion spectrum and site conditions, relating to the field of seismic risk assessment technology. The method includes: determining the site category of a corresponding strong-motion observation station based on the site shear wave velocity data; dividing multiple seismic motion records into different spectral feature groups; combining the site category and spectral feature groups to obtain several operational conditions; performing incremental dynamic analysis on each seismic motion record for each operational condition to generate corresponding seismic response data; fitting the seismic response data for each operational condition to obtain corresponding vulnerability curves; acquiring the site category and corresponding spectral feature group of the target site to match the corresponding vulnerability curves; and using the vulnerability curves to assess the structural vulnerability of the target site. This invention utilizes the vulnerability curves obtained by matching the site category and spectral feature groups of the target site to assess structural vulnerability, significantly improving the efficiency and accuracy of seismic risk quantification assessment.

Description

Technical Field

[0001] This invention relates to the field of earthquake risk assessment technology, and more specifically, to a method and apparatus for assessing structural vulnerability based on seismic motion spectrum and site conditions. Background Technology

[0002] Currently, in structural seismic vulnerability analysis, the selection of ground motions mainly relies on the matching degree between peak ground acceleration and the target design response spectrum, with little consideration for the influence of site type. This method has significant drawbacks: First, it cannot effectively distinguish the different degrees of damage to structures caused by ground motions with the same peak ground acceleration but different spectral components, especially underestimating the potential destructive power of ground motions rich in low-frequency components; second, it lacks systematic wave selection guidance on how different site conditions change ground motion characteristics and affect structural response, leading to deviations between vulnerability assessment results and actual conditions. Summary of the Invention

[0003] The purpose of this invention is to provide a method and apparatus for assessing structural vulnerability based on seismic motion spectrum and site conditions, thereby addressing the aforementioned problems. To achieve this objective, the technical solution adopted by this invention is as follows: Firstly, this application provides a structural vulnerability assessment method based on seismic motion spectrum and site conditions, including: Acquire site shear wave velocity data from multiple strong earthquake observation stations, and determine the site category of the corresponding strong earthquake observation station based on the site shear wave velocity data. Multiple ground motion records were acquired from each strong-motion observation station, and these records were divided into different spectral feature groups. The site category of each strong earthquake observation station and the spectral characteristic groups of the corresponding multiple ground motion records are combined to obtain several working conditions; Incremental dynamic analysis is performed on each ground motion record for each working condition to generate corresponding seismic response data; the seismic response data for each working condition are fitted to obtain the corresponding vulnerability curves, and a vulnerability model library is constructed from the vulnerability curves for each working condition. Obtain the site category and corresponding spectral feature group of the target site, match the corresponding vulnerability curve from the vulnerability model library, and use the vulnerability curve to evaluate the structural vulnerability of the target site.

[0004] Secondly, this application also provides a structural vulnerability assessment device based on seismic motion spectrum and site conditions, comprising: The site classification module is used to acquire site shear wave velocity data from multiple strong earthquake observation stations and determine the site category of the corresponding strong earthquake observation station based on the site shear wave velocity data. The spectrum grouping module is used to acquire multiple ground motion records from each strong earthquake observation station and divide the multiple ground motion records into different spectrum feature groups; The working condition combination module is used to combine the site category of each strong earthquake observation station with the spectral feature groups of the corresponding multiple ground motion records to obtain several working conditions. The model library construction module is used to perform incremental dynamic analysis on each ground motion record for each working condition to generate corresponding seismic response data, fit the seismic response data of each working condition to obtain the corresponding vulnerability curve, and construct a vulnerability model library from the vulnerability curves of each working condition. The evaluation module is used to obtain the site category and corresponding spectral feature group of the target site, match the corresponding vulnerability curve from the vulnerability model library, and evaluate the structural vulnerability of the target site using the matched vulnerability curve.

[0005] Thirdly, this application also provides a structural vulnerability assessment device based on seismic motion spectrum and site conditions, comprising: Memory, used to store computer programs; A processor is used to implement the steps of the structural vulnerability assessment method based on seismic motion spectrum and site conditions when executing the computer program.

[0006] Fourthly, this application also provides a readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described structural vulnerability assessment method based on seismic motion spectrum and site conditions.

[0007] The beneficial effects of this invention are as follows: 1. This invention uses the ratio of peak displacement to peak acceleration as a quantitative index to classify seismic motion spectral characteristic groups, overcoming the limitations of traditional methods that rely solely on peak acceleration, and can more accurately reflect the spectral characteristics of seismic motion. Secondly, by combining the site category determined based on shear wave velocity with the spectral characteristic groups to form working conditions, the problem of the disconnect between seismic motion input and site conditions is solved. Finally, by performing incremental dynamic analysis on multiple records under each working condition and fitting them to generate vulnerability curves, a systematic vulnerability model library is constructed, significantly improving the reliability and consistency of the analysis results.

[0008] 2. This invention matches vulnerability curves from a vulnerability model library based on the site category and spectral characteristic group of the target site, and uses the vulnerability curves to assess structural vulnerability, which greatly improves the efficiency and accuracy of earthquake risk quantification assessment.

[0009] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing embodiments of the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings. Attached Figure Description

[0010] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 This is a schematic diagram of the structural vulnerability assessment method based on seismic motion spectrum and site conditions described in this embodiment of the invention. Figure 2 This is a schematic diagram of the structural vulnerability assessment device based on seismic motion spectrum and site conditions described in this embodiment of the invention. Figure 3 This is a schematic diagram of the structural vulnerability assessment device based on seismic frequency spectrum and site conditions described in this embodiment of the invention.

[0012] Marked in the image: 800. Structural vulnerability assessment equipment based on seismic motion spectrum and site conditions; 801. Processor; 802. Memory; 803. Multimedia component; 804. I / O interface; 805. Communication component. Detailed Implementation

[0013] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0014] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this invention, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0015] Example 1: This embodiment provides a structural vulnerability assessment method based on seismic motion spectrum and site conditions.

[0016] See Figure 1 The figure shows that this method includes: S1. Obtain site shear wave velocity data from multiple strong earthquake observation stations, and determine the site category of the corresponding strong earthquake observation station based on the site shear wave velocity data; In this embodiment, the data used comes from the Japanese KIK-net strong earthquake observation network, and site shear wave velocity data from 643 Japanese KIK-net strong earthquake observation stations are collected. The site shear wave velocity data includes shear wave velocity values ​​from the surface to different depths underground.

[0017] Specifically, step S1 includes: S11. Calculate the average shear wave velocity of the strong earthquake observation station site within a depth range of 30 meters based on the aforementioned site shear wave velocity data. : ; In the formula, For the first The thickness of the soil layers, and satisfying , For the first Shear wave velocity of soil layers This represents the total number of soil layers within a depth range of 30 meters.

[0018] S12. Compare the average shear wave velocity with a preset site classification standard; Specifically, the site classification standard is the American Standard for Site Classification (ASCE) 7, as shown in Table 1: Table 1

[0019] As shown in Table 1, according to The sites are classified into four categories: rock and soil, hard soil, medium-hard soil, and soft soil, which are the site category labels for strong earthquake observation stations. .

[0020] S13. Based on the comparison results, determine the site category of the strong earthquake observation station.

[0021] Based on the above embodiments, this method further includes: S2. Acquire multiple ground motion records from each strong-motion observation station and divide the multiple ground motion records into different spectral feature groups; In this embodiment, 1594 measured ground motion records from the Japanese KIK-net strong-motion observation network are collected, and the 1594 ground motion records are selected from historical earthquake events recorded by 643 KIK-net strong-motion observation stations.

[0022] Specifically, step S2 includes: S21. Calculate the ratio of peak displacement (PGD) to peak acceleration (PGA) for each ground motion record; To effectively incorporate the spectral characteristics of ground motion into vulnerability analysis, this embodiment proposes using the peak displacement ratio. As a quantitative indicator, the specific calculation method is as follows: ; In this embodiment, The larger the value, the richer the low-frequency components in the seismic motion record; The smaller the value, the more dominant the high-frequency component is.

[0023] S22. Compare the ratio with multiple preset ratio ranges to determine the ratio range to which each ground motion record belongs; This embodiment is based on the 1594 measured ground motion records. Statistical analysis was conducted to establish grouping criteria for classifying them into five groups with significant spectral differences, as shown in Table 2: Table 2

[0024] S23. Based on the ratio range, the ground motion records are divided into corresponding spectral feature groups, i.e., the spectral feature group labels of the ground motion records. .

[0025] Based on the above embodiments, this method further includes: S3. Combine the site category of each strong earthquake observation station with the spectral characteristic groups of the corresponding multiple ground motion records to obtain several working conditions; Specifically, the site category of strong earthquake observation stations and the spectral characteristics of ground motion records are combined to obtain... ,in, Indicates the first Site categories of strong earthquake observation stations Indicates the first A set of spectral characteristics of ground motion records.

[0026] Subsequently, all ground motion records with the same combination are combined into an independent working condition. For example, all ground motion records with site category C and spectral characteristic group III constitute the “Category C-III” working condition.

[0027] In this embodiment, up to 20 different operating condition types can be formed.

[0028] Based on the above embodiments, this method further includes: S4. Perform incremental dynamic analysis on each ground motion record for each working condition to generate corresponding seismic response data; fit the seismic response data for each working condition to obtain the corresponding vulnerability curve, and construct a vulnerability model library from the vulnerability curves for each working condition. Specifically, step S4 includes: S41. A seismic motion record is gradually amplitude-modulated using an increasing seismic intensity index to generate multiple amplitude-modulated seismic motion time histories; Specifically, the seismic intensity index is the peak ground acceleration (PGA), and an incremental intensity index sequence is defined. Calculate the scaling factor of each intensity index value in the sequence relative to the ground motion record, multiply the ground motion record by the scaling factor, and generate an amplitude-modulated acceleration time history. For the intensity index sequence Repeat the above operation for each intensity index to generate amplitude-modulated ground motion time histories.

[0029] S42. Input each ground motion time history into the preset structural finite element model in sequence, perform nonlinear dynamic time history calculation, and obtain the maximum inter-story drift angle of the structural finite element model under each ground motion time history. In this embodiment, the preset structural finite element model is a two-span, six-story reinforced concrete space frame model built in OpenSees.

[0030] Nonlinear dynamic time history analysis was performed on the reinforced concrete space frame model using the r-th acceleration time history to extract the maximum inter-story drift angle of the model during the entire seismic motion process. ; Nonlinear dynamic time history analysis was performed on each acceleration time history sequentially, ultimately yielding the maximum inter-story drift angle sequence corresponding to different intensity levels of the original seismic ground motion records. ,in, This refers to the number of intensity levels.

[0031] S43. Obtain the intensity index value for each ground motion time history, and associate the maximum inter-story drift angle with the corresponding intensity index value to form a set of associated data pairs; S44. All associated data pairs from the same ground motion record constitute the seismic response data of the ground motion record.

[0032] S45. Summarize the seismic response data corresponding to all ground motion records for a certain working condition to form a seismic response dataset for the working condition; S46. For multiple preset structural failure limit states, perform probabilistic statistical analysis based on the seismic response dataset to fit the corresponding probability distribution function; Specifically, based on the performance requirements for reinforced concrete frame structures in China's "Code for Seismic Design of Buildings" (GB50011-2010), four consecutive failure limit states are defined. ,in, Each failure limit state is determined by the maximum inter-story drift angle. Limit The specific criteria are shown in Table 3: Table 3

[0033] For the The ground motion records were used to determine when the maximum inter-story drift angle first reached [a certain value]. The critical intensity sample value corresponding to the time ; Perform the above operation on all ground motion records under a given working condition to obtain a set of records corresponding to the failure limit state. Critical intensity sample value ; For the destruction limit state Below Statistical analysis was performed, and the median value was obtained by fitting the data. and logarithmic standard deviation According to the median value and logarithmic standard deviation The destruction limit state was determined. The probability distribution function under the given conditions.

[0034] Specifically, the probability distribution function is: ; In the formula, This is a structural damage indicator, specifically the maximum inter-story drift angle. Indicates the intensity of a given earthquake motion. Below, the structural damage index exceeds the failure limit. The probability of; This is the cumulative distribution function of the standard normal distribution.

[0035] S47. Based on the probability distribution function, generate a vulnerability curve characterizing the seismic vulnerability of the structure under the aforementioned working condition: Calculate each using the probability distribution function Corresponding exceedance probability ,by The x-axis is... Plot a curve on the ordinate. Ultimately, four vulnerability curves are plotted for each operating condition, corresponding to four failure limit states.

[0036] S48. Collect vulnerability curves for all operating conditions and establish a mapping relationship between each vulnerability curve and the site category and spectral characteristic group of the operating condition to which it belongs. Specifically, each vulnerability curve needs to establish detailed attribute records, including site category, spectral characteristic group, failure limit state, median value of probability distribution function and log standard deviation.

[0037] S49. Based on the mapping relationship, construct a searchable vulnerability model library from all vulnerability curves.

[0038] Based on the above embodiments, this method further includes: S5. Obtain the site category and corresponding spectral feature group of the target site, match the corresponding vulnerability curve from the vulnerability model library, and use the vulnerability curve to evaluate the structural vulnerability of the target site.

[0039] Specifically, step S5 includes: S51. Obtain the average shear wave velocity of the target site through engineering geological exploration methods. The site category of the target site is determined according to the ASCE 7 specification.

[0040] S52. Collect and analyze seismic tectonic data for the target site area, including potential source distribution, active fault characteristics, historical seismic activity, and regional ground motion attenuation relationships. Based on the seismic tectonic data, determine the dominant spectral characteristics of potential future ground motions that the target site may experience.

[0041] S53. The site category and the corresponding spectral feature group are used as combined query conditions and input into the vulnerability model library to match four vulnerability curves, which represent four damage limit states: minor damage, moderate damage, severe damage, and collapse.

[0042] S54. Obtain the predicted values ​​of seismic intensity indices for the target site under future earthquake action. Based on each failure limit state, the corresponding vulnerability function parameters are found from the matched vulnerability curves; S55. Predicted values ​​of seismic intensity index Substituting the parameters into the vulnerability function constructed from the vulnerability function parameters, the following is calculated: The probability of exceeding the aforementioned destructive limit state .

[0043] S56. Based on the calculated probability To assess whether the seismic performance of the structures on the target site meets the predetermined safety objectives or performance requirements. If the height is too high, reinforcement measures need to be taken in the design, or performance-based seismic design and seismic damage risk quantification should be carried out.

[0044] This embodiment utilizes a dual matching mechanism of site category and spectral feature group to apply the vulnerability model library to the seismic risk assessment of specific target sites, significantly improving the assessment efficiency and scientific rigor.

[0045] Example 2: like Figure 2 As shown, this embodiment provides a structural vulnerability assessment device based on seismic motion spectrum and site conditions. The device includes: The site classification module is used to acquire site shear wave velocity data from multiple strong earthquake observation stations and determine the site category of the corresponding strong earthquake observation station based on the site shear wave velocity data. The spectrum grouping module is used to acquire multiple ground motion records from each strong earthquake observation station and divide the multiple ground motion records into different spectrum feature groups; The working condition combination module is used to combine the site category of each strong earthquake observation station with the spectral feature groups of the corresponding multiple ground motion records to obtain several working conditions. The model library construction module is used to perform incremental dynamic analysis on each ground motion record for each working condition to generate corresponding seismic response data, fit the seismic response data of each working condition to obtain the corresponding vulnerability curve, and construct a vulnerability model library from the vulnerability curves of each working condition. The evaluation module is used to obtain the site category and corresponding spectral feature group of the target site, match the corresponding vulnerability curve from the vulnerability model library, and evaluate the structural vulnerability of the target site using the matched vulnerability curve.

[0046] Based on the above embodiments, the site classification module includes: The wave velocity calculation unit is used to calculate the average shear wave velocity of the strong earthquake observation station site within a preset depth range based on the site shear wave velocity data. A standard comparison unit is used to compare the average shear wave velocity with a preset site classification standard. The category determination unit is used to determine the site category of strong earthquake observation stations based on the comparison results.

[0047] Based on the above embodiments, the spectrum grouping module includes: The ratio calculation unit is used to calculate the ratio of peak displacement to peak acceleration for each ground motion record; A range matching unit is used to compare the ratio with multiple preset ratio ranges to determine the ratio range to which each ground motion record belongs; A grouping unit is used to divide the ground motion records into corresponding spectral feature groups according to the ratio range.

[0048] Based on the above embodiments, the part of the model library construction module used for incremental dynamic analysis and generating seismic response data includes: The time-history amplitude modulation unit is used to gradually modulate the amplitude of a ground motion record using an increasing ground motion intensity index, generating multiple ground motion time histories after amplitude modulation. The dynamic analysis unit is used to sequentially input each ground motion time history into a preset structural finite element model, perform nonlinear dynamic time history calculations, and obtain the maximum inter-story drift angle of the structural finite element model under each ground motion time history. The data association unit is used to obtain the intensity index value of each ground motion time history and associate the maximum inter-story drift angle with the corresponding intensity index value to form a set of associated data pairs. A data composition unit is used to form the seismic response data of the same ground motion record from all associated data pairs of the same ground motion record.

[0049] Based on the above embodiments, the part of the model library construction module used to fit the vulnerability curve includes: The dataset aggregation unit is used to aggregate the seismic response data corresponding to all ground motion records for each working condition to form the seismic response dataset for that working condition. The distribution fitting unit is used to perform probabilistic statistical analysis based on the seismic response dataset for multiple preset structural failure limit states, and to fit the corresponding probability distribution function. The curve generation unit is used to generate a vulnerability curve characterizing the seismic vulnerability of the structure under the working condition, based on the probability distribution function.

[0050] Based on the above embodiments, the part of the model library construction module used to construct the vulnerability model library includes: The curve aggregation unit is used to aggregate the vulnerability curves for all operating conditions. The mapping establishment unit is used to establish a mapping relationship between each vulnerability curve and the site category and spectral characteristic group of the corresponding working condition; The library generation unit is used to construct a searchable vulnerability model library from all vulnerability curves based on the mapping relationship.

[0051] It should be noted that the specific manner in which each module performs its operation in the apparatus described in the above embodiments has been described in detail in the embodiments of the method, and will not be elaborated here.

[0052] Example 3: Corresponding to the above method embodiments, this embodiment also provides a structural vulnerability assessment device based on ground motion spectrum and site conditions. The structural vulnerability assessment device based on ground motion spectrum and site conditions described below and the structural vulnerability assessment method based on ground motion spectrum and site conditions described above can be referred to each other.

[0053] Figure 3 This is a block diagram illustrating a structural vulnerability assessment device 800 based on seismic motion spectrum and site conditions, according to an exemplary embodiment. Figure 3 As shown, the structural vulnerability assessment device 800 based on seismic motion spectrum and site conditions may include: a processor 801 and a memory 802. The structural vulnerability assessment device 800 may also include one or more of the following: a multimedia component 803, an I / O interface 804, and a communication component 805.

[0054] The processor 801 controls the overall operation of the structural vulnerability assessment device 800 based on seismic motion spectrum and site conditions to complete all or part of the steps in the aforementioned structural vulnerability assessment method based on seismic motion spectrum and site conditions. The memory 802 stores various types of data to support the operation of the structural vulnerability assessment device 800 based on seismic motion spectrum and site conditions. This data may include, for example, instructions for any application or method operating on the structural vulnerability assessment device 800 based on seismic motion spectrum and site conditions, as well as application-related data, such as contact data, sent and received messages, images, audio, video, etc. The memory 802 can be implemented using any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The multimedia component 803 may include a screen and an audio component. The screen may be, for example, a touchscreen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the memory 802 or transmitted via the communication component 805. The audio component also includes at least one speaker for outputting audio signals. I / O interface 804 provides an interface between processor 801 and other interface modules, such as keyboards, mice, and buttons. These buttons can be virtual or physical. Communication component 805 is used for wired or wireless communication between the seismic spectrum and site condition-based structural vulnerability assessment device 800 and other devices. Wireless communication includes, for example, Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination thereof. Therefore, the corresponding communication component 805 may include a Wi-Fi module, a Bluetooth module, or an NFC module.

[0055] In an exemplary embodiment, the structural vulnerability assessment device 800 based on seismic motion spectrum and site conditions may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above-described structural vulnerability assessment method based on seismic motion spectrum and site conditions.

[0056] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided. When executed by a processor, these program instructions implement the steps of the structural vulnerability assessment method based on seismic motion spectrum and site conditions described above. For example, the computer-readable storage medium may be the memory 802 including the program instructions described above. These program instructions may be executed by the processor 801 of the structural vulnerability assessment device 800 based on seismic motion spectrum and site conditions to complete the structural vulnerability assessment method based on seismic motion spectrum and site conditions described above.

[0057] Example 4: Corresponding to the above method embodiments, this embodiment also provides a readable storage medium. The readable storage medium described below can be referred to in conjunction with the structural vulnerability assessment method based on seismic motion spectrum and site conditions described above.

[0058] A readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the structural vulnerability assessment method based on seismic motion spectrum and site conditions described in the above method embodiments.

[0059] Specifically, the readable storage medium can be a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, or any other readable storage medium capable of storing program code.

[0060] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0061] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A structural vulnerability assessment method based on seismic motion spectrum and site conditions, characterized in that, include: Acquire site shear wave velocity data from multiple strong earthquake observation stations, and determine the site category of the corresponding strong earthquake observation station based on the site shear wave velocity data. Multiple ground motion records were acquired from each strong-motion observation station, and these records were divided into different spectral feature groups. The site category of each strong earthquake observation station and the spectral characteristic groups of the corresponding multiple ground motion records are combined to obtain several working conditions; Incremental dynamic analysis is performed on each ground motion record for each working condition to generate corresponding seismic response data; the seismic response data for each working condition are fitted to obtain the corresponding vulnerability curves, and a vulnerability model library is constructed from the vulnerability curves for each working condition. Obtain the site category and corresponding spectral feature group of the target site, match the corresponding vulnerability curve from the vulnerability model library, and use the vulnerability curve to evaluate the structural vulnerability of the target site.

2. The structural vulnerability assessment method based on seismic motion spectrum and site conditions according to claim 1, characterized in that, The site category of the corresponding strong earthquake observation station is determined based on the site shear wave velocity data, including: The average shear wave velocity of the strong earthquake observation station site within a preset depth range is calculated based on the site shear wave velocity data. The average shear wave velocity is compared with a preset site classification standard. Based on the comparison results, the site category of the strong earthquake observation station was determined.

3. The structural vulnerability assessment method based on seismic motion spectrum and site conditions according to claim 1, characterized in that, Multiple ground motion records were divided into different spectral feature groups, including: Calculate the ratio of peak displacement to peak acceleration for each ground motion record; The ratio is compared with multiple preset ratio ranges to determine the ratio range to which each ground motion record belongs; Based on the range of ratios, the ground motion records are divided into corresponding spectral feature groups.

4. The structural vulnerability assessment method based on seismic motion spectrum and site conditions according to claim 1, characterized in that, Incremental dynamic analysis was performed on each ground motion record to generate corresponding seismic response data, including: An incremental seismic intensity index is used to progressively modulate the amplitude of a seismic ground motion record, generating multiple time histories of the ground motion after amplitude modulation. Each ground motion time history is sequentially input into a preset structural finite element model, and nonlinear dynamic time history calculations are performed to obtain the maximum inter-story drift angle of the structural finite element model under each ground motion time history. The intensity index value of each ground motion time history is obtained, and the maximum inter-story drift angle is correlated with the corresponding intensity index value to form a set of correlated data pairs. The seismic response data of the same ground motion record is composed of all associated data pairs.

5. The structural vulnerability assessment method based on seismic motion spectrum and site conditions according to claim 4, characterized in that, The seismic response data for each working condition are fitted to obtain the corresponding vulnerability curves, including: The seismic response data corresponding to all ground motion records for a certain working condition are summarized to form the seismic response dataset for that working condition. For multiple preset structural failure limit states, probabilistic statistical analysis is performed based on the earthquake response dataset to obtain the corresponding probability distribution function; Based on the probability distribution function, a vulnerability curve characterizing the seismic vulnerability of the structure under the stated working condition is generated.

6. A structural vulnerability assessment device based on seismic motion spectrum and site conditions, characterized in that, include: The site classification module is used to acquire site shear wave velocity data from multiple strong earthquake observation stations and determine the site category of the corresponding strong earthquake observation station based on the site shear wave velocity data. The spectrum grouping module is used to acquire multiple ground motion records from each strong earthquake observation station and divide the multiple ground motion records into different spectrum feature groups; The working condition combination module is used to combine the site category of each strong earthquake observation station with the spectral feature groups of the corresponding multiple ground motion records to obtain several working conditions. The model library construction module is used to perform incremental dynamic analysis on each ground motion record for each working condition to generate corresponding seismic response data, fit the seismic response data of each working condition to obtain the corresponding vulnerability curve, and construct a vulnerability model library from the vulnerability curves of each working condition. The evaluation module is used to obtain the site category and corresponding spectral feature group of the target site, match the corresponding vulnerability curve from the vulnerability model library, and evaluate the structural vulnerability of the target site using the matched vulnerability curve.

7. The structural vulnerability assessment device based on seismic motion spectrum and site conditions according to claim 6, characterized in that, The site classification module includes: The wave velocity calculation unit is used to calculate the average shear wave velocity of the strong earthquake observation station site within a preset depth range based on the site shear wave velocity data. A standard comparison unit is used to compare the average shear wave velocity with a preset site classification standard. The category determination unit is used to determine the site category of strong earthquake observation stations based on the comparison results.

8. The structural vulnerability assessment device based on seismic motion spectrum and site conditions according to claim 6, characterized in that, The spectrum grouping module includes: The ratio calculation unit is used to calculate the ratio of peak displacement to peak acceleration for each ground motion record; A range matching unit is used to compare the ratio with multiple preset ratio ranges to determine the ratio range to which each ground motion record belongs; A grouping unit is used to divide the ground motion records into corresponding spectral feature groups according to the ratio range.

9. The structural vulnerability assessment device based on seismic motion spectrum and site conditions according to claim 6, characterized in that, The model library construction module includes: The time-history amplitude modulation unit is used to gradually modulate the amplitude of a ground motion record using an increasing ground motion intensity index, generating multiple ground motion time histories after amplitude modulation. The dynamic analysis unit is used to sequentially input each ground motion time history into a preset structural finite element model, perform nonlinear dynamic time history calculations, and obtain the maximum inter-story drift angle of the structural finite element model under each ground motion time history. The data association unit is used to obtain the intensity index value of each ground motion time history and associate the maximum inter-story drift angle with the corresponding intensity index value to form a set of associated data pairs. A data composition unit is used to form the seismic response data of the same ground motion record from all associated data pairs of the same ground motion record.

10. The structural vulnerability assessment device based on seismic motion spectrum and site conditions according to claim 9, characterized in that, The model library construction module includes: The dataset aggregation unit is used to aggregate the seismic response data corresponding to all ground motion records for each working condition to form the seismic response dataset for that working condition. The distribution fitting unit is used to perform probabilistic statistical analysis based on the seismic response dataset for multiple preset structural failure limit states, and to fit the corresponding probability distribution function. The curve generation unit is used to generate a vulnerability curve characterizing the seismic vulnerability of the structure under the working condition, based on the probability distribution function.

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