Site-metro tunnel network-building earthquake damage analysis method and device

Abstract

The application provides a site-metro tunnel network-building earthquake damage analysis method and device, and relates to the technical field of civil engineering structure earthquake resistance. The method comprises the following steps: selecting a typical metro tunnel form of a target city, establishing a fine site-metro tunnel model of a local scale; establishing simplified site-metro tunnel dynamic models of different simplified forms; calculating the transfer functions of the fine site-metro tunnel model and the simplified site-metro tunnel dynamic models, determining the simplified site-metro tunnel dynamic model with the highest matching degree and the corresponding parameter determination method; determining a non-uniform grid division mode according to the metro tunnel position and the precision requirement, and completing the construction of the earthquake source-site-metro tunnel-building group model of the site and the building in the target city according to the non-uniform grid division mode and the parameter determination method. The application can realize reliable analysis of the three-dimensional coupling of the metro tunnel network-soil-building group on a kilometer scale.

Description

Technical Field

[0001] This invention relates to the field of seismic resistance technology for civil engineering structures, and in particular to a method and apparatus for analyzing seismic damage to sites, subway tunnel networks, and buildings. Background Technology

[0002] With the rapid expansion of my country's urban subway tunnel network, its wide coverage, shallow burial depth, and spatially interwoven characteristics have significantly altered the original seismic wave field. Multiple major earthquakes both domestically and internationally have shown that the presence of tunnels can amplify the seismic response of adjacent buildings by more than 30%. However, when analyzing detailed models of subway tunnel-soil-building complexes within a local site, traditional methods typically only provide the equivalent seismic wave input field under free-site conditions, primarily relying on two-dimensional plane strain analysis, making it difficult to consider the impact of the three-dimensional response of the tunnel network outside the analysis area. Therefore, to scientifically and rationally analyze the mechanism of action of the subway tunnel network-soil-building complex coupled system, it is necessary to first clarify the three-dimensional seismic wave input of the site of interest at a larger scale ("source-site-subway tunnel network" scale), and further use this information for nonlinear dynamic analysis of the three-dimensional "source-site-subway tunnel network-building" model. However, relevant model construction methods are currently lacking. Summary of the Invention

[0003] To address the technical problem that existing methods typically only provide equivalent seismic wave input fields under free-field conditions and primarily rely on two-dimensional plane strain analysis, making it difficult to consider the impact of the three-dimensional response of the tunnel network outside the analysis area, this invention provides a method and apparatus for analyzing seismic damage to a site-subway tunnel network-building. The technical solution is as follows:

[0004] On the one hand, a site-subway tunnel network-building seismic damage analysis method is provided, which is implemented by a site-subway tunnel network-building seismic damage analysis device, and includes:

[0005] S1. Select typical subway tunnel types in the target city and establish a detailed site-subway tunnel model at a local scale.

[0006] S2. Set multiple simplification forms, simplify the fine site-subway tunnel model according to the multiple simplification forms, and establish simplified site-subway tunnel dynamic models with different simplification forms.

[0007] S3. Calculate the transfer functions of the refined site-subway tunnel model and the simplified site-subway tunnel dynamics model respectively, and determine the simplified site-subway tunnel dynamics model with the highest matching degree and the corresponding parameter determination method.

[0008] S4. Determine the non-uniform mesh division method based on the location and accuracy requirements of the subway tunnel, and complete the construction of the source-site-subway tunnel-building complex model of the target city's site and buildings based on the non-uniform mesh division method and parameter determination method.

[0009] Optionally, in S1, a typical subway tunnel form of the target city is selected to establish a detailed site-subway tunnel model at a local scale, including:

[0010] S11. Classify the subway tunnels of the target city according to their typical characteristics, and select the typical subway tunnel types of the target city based on the classification results.

[0011] S12. Establish a fine-grained site-subway tunnel model with a mesh size at the decimeter level for typical subway tunnel forms in the target city. The fine-grained site-subway tunnel model includes the structural form, burial depth, surrounding site characteristics, structural material properties, type, local soil layer distribution, and wave velocity, damping, and nonlinear characteristics of each soil layer of the typical subway tunnel.

[0012] Optionally, S2 defines multiple simplification forms. Based on these simplification forms, the detailed site-subway tunnel model is simplified, and simplified site-subway tunnel dynamic models with different simplification forms are established, including:

[0013] S21. Several simplified forms are set according to the characteristic parameters of typical subway tunnel types.

[0014] S22. Using finite element software, simplified site-subway tunnel dynamic models with different simplification forms are established based on multiple simplification forms; among them, the mesh size of the simplified site-subway tunnel dynamic model is at the 10m level.

[0015] Alternatively, several simplified forms are available, including:

[0016] Ignoring the internal holes of the subway tunnel, the subway tunnel is simplified as a solid circular body with a uniform cross-section.

[0017] The internal openings of the subway tunnel are preserved, and the segments and bolt structure are equivalent to a continuous circular thin wall.

[0018] The subway tunnel is simplified into a rectangular solid body.

[0019] The internal openings of the subway tunnel are preserved, and the support structure is simplified to a rectangular thin wall.

[0020] Optionally, in S3, the transfer functions of the refined site-subway tunnel model and the simplified site-subway tunnel dynamics model are calculated separately to determine the simplified site-subway tunnel dynamics model with the highest matching degree and the corresponding parameter determination method, including:

[0021] The same excitation was applied to both the fine-scale site-subway tunnel model and the simplified site-subway tunnel dynamics model to obtain monitoring data. Based on the monitoring data, the dynamic response transfer function from the ground surface to the bottom of the tunnel for both the fine-scale site-subway tunnel model and the simplified site-subway tunnel dynamics model was calculated.

[0022] Based on the dynamic response transfer function of the refined site-subway tunnel model, the matching degree between the simplified site-subway tunnel dynamic model and the refined site-subway tunnel model is quantified by mean square error. The matching accuracy is optimized by adjusting the core material parameters, and the simplified site-subway tunnel dynamic model with the highest matching degree and the corresponding parameter determination method are selected.

[0023] Optionally, in S4, the non-uniform mesh generation method is determined based on the location and accuracy requirements of the subway tunnel. Based on the non-uniform mesh generation method and parameter determination method, the source-site-subway tunnel-building complex model of the target city is constructed, including:

[0024] S41. Determine the non-uniform mesh division method based on the location and accuracy requirements of the subway tunnel, and perform mesh division on the source-site-subway tunnel-building complex model to be established according to the non-uniform mesh division method.

[0025] S42. Based on the predefined grid and parameter determination method, assign material and dynamic behavior attributes to the site, seismic source, subway tunnel, and building complex in sequence to complete the construction of the seismic source-site-subway tunnel-building complex model of the target city's site and buildings.

[0026] On the other hand, a site-subway tunnel network-building seismic damage analysis device is provided, which is applied to the site-subway tunnel network-building seismic damage analysis method. The device includes:

[0027] The fine model building module is used to select typical subway tunnel forms in the target city and build a fine site-subway tunnel model at a local scale.

[0028] The simplified model building module is used to set multiple simplification forms, simplify the fine site-subway tunnel model according to the multiple simplification forms, and establish simplified site-subway tunnel dynamic models with different simplification forms.

[0029] The parameter determination module is used to calculate the transfer functions of the fine site-subway tunnel model and the simplified site-subway tunnel dynamics model respectively, and to determine the simplified site-subway tunnel dynamics model with the highest matching degree and the corresponding parameter determination method.

[0030] The output module is used to determine the non-uniform mesh division method based on the location and accuracy requirements of the subway tunnel, and to complete the construction of the source-site-subway tunnel-building complex model of the target city's site and buildings based on the non-uniform mesh division method and parameter determination method.

[0031] Optionally, the fine model building module is further used for:

[0032] S11. Classify the subway tunnels of the target city according to their typical characteristics, and select the typical subway tunnel types of the target city based on the classification results.

[0033] S12. Establish a fine-grained site-subway tunnel model with a mesh size at the decimeter level for typical subway tunnel forms in the target city. The fine-grained site-subway tunnel model includes the structural form, burial depth, surrounding site characteristics, structural material properties, type, local soil layer distribution, and wave velocity, damping, and nonlinear characteristics of each soil layer of the typical subway tunnel.

[0034] Optionally, the simplified model building module is further used for:

[0035] S21. Several simplified forms are set according to the characteristic parameters of typical subway tunnel types.

[0036] S22. Using finite element software, simplified site-subway tunnel dynamic models with different simplification forms are established based on multiple simplification forms; among them, the mesh size of the simplified site-subway tunnel dynamic model is at the 10m level.

[0037] Alternatively, several simplified forms are included:

[0038] Ignoring the internal holes of the subway tunnel, the subway tunnel is simplified as a solid circular body with a uniform cross-section.

[0039] The internal openings of the subway tunnel are preserved, and the segments and bolt structure are equivalent to a continuous circular thin wall.

[0040] The subway tunnel is simplified into a rectangular solid body.

[0041] The internal openings of the subway tunnel are preserved, and the support structure is simplified to a rectangular thin wall.

[0042] Optionally, the parameter determination module is further used for:

[0043] The same excitation was applied to both the fine-scale site-subway tunnel model and the simplified site-subway tunnel dynamics model to obtain monitoring data. Based on the monitoring data, the dynamic response transfer function from the ground surface to the bottom of the tunnel for both the fine-scale site-subway tunnel model and the simplified site-subway tunnel dynamics model was calculated.

[0044] Based on the dynamic response transfer function of the refined site-subway tunnel model, the matching degree between the simplified site-subway tunnel dynamic model and the refined site-subway tunnel model is quantified by mean square error. The matching accuracy is optimized by adjusting the core material parameters, and the simplified site-subway tunnel dynamic model with the highest matching degree and the corresponding parameter determination method are selected.

[0045] Optionally, the output module is further used for:

[0046] S41. Determine the non-uniform mesh division method based on the location and accuracy requirements of the subway tunnel, and perform mesh division on the source-site-subway tunnel-building complex model to be established according to the non-uniform mesh division method.

[0047] S42. Based on the predefined grid and parameter determination method, assign material and dynamic behavior attributes to the site, seismic source, subway tunnel, and building complex in sequence to complete the construction of the seismic source-site-subway tunnel-building complex model of the target city's site and buildings.

[0048] On the other hand, a site-subway tunnel network-building seismic damage analysis device is provided, the site-subway tunnel network-building seismic damage analysis device comprising: a processor; a memory, the memory storing computer-readable instructions, which, when executed by the processor, implement any of the methods described above for site-subway tunnel network-building seismic damage analysis.

[0049] On the other hand, a computer-readable storage medium is provided, wherein at least one instruction is stored therein, the at least one instruction being loaded and executed by a processor to implement any of the above-described site-subway tunnel network-building seismic damage analysis methods.

[0050] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following:

[0051] In this invention, a simplified three-dimensional dynamic model of a subway tunnel network for urban-scale analysis is used, coupled with models of the seismic source, site, subway tunnel network, and building complex. Relying on high-performance computing, the model's accuracy advantage can be fully utilized to achieve efficient and reliable analysis of the three-dimensional coupling effect of the subway tunnel network, soil, and building complex, significantly improving the reliability and scientific nature of urban seismic risk assessment. Attached Figure Description

[0052] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0053] Figure 1 This is a flowchart of a site-subway tunnel network-building seismic damage analysis method provided by an embodiment of the present invention;

[0054] Figure 2 This is a block diagram of a site-subway tunnel network-building seismic damage analysis device provided in an embodiment of the present invention;

[0055] Figure 3 This is a schematic diagram of the structure of a site-subway tunnel network-building seismic damage analysis device provided in an embodiment of the present invention. Detailed Implementation

[0056] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0057] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0058] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, their intended meanings are consistent. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, their intended meanings are consistent.

[0059] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0060] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0061] This invention provides a method for analyzing seismic damage to buildings within a site-subway tunnel network. This method can be implemented using a site-subway tunnel network-building seismic damage analysis device, which can be a terminal or a server. Figure 1 The flowchart shown illustrates the site-subway tunnel network-building seismic damage analysis method. This method's processing flow may include the following steps:

[0062] S1. Select typical subway tunnel types in the target city and establish a detailed site-subway tunnel model at a local scale.

[0063] Optionally, step S1 above may include the following steps S11-S12:

[0064] S11. Classify the subway tunnels of the target city according to their typical characteristics, and select the typical subway tunnel types of the target city based on the classification results.

[0065] S12. Establish a fine-grained site-subway tunnel model with a mesh size at the decimeter level for typical subway tunnel forms in the target city. The fine-grained site-subway tunnel model includes the structural form, burial depth, surrounding site characteristics, structural material properties, type, local soil layer distribution, and wave velocity, damping, and nonlinear characteristics of each soil layer of the typical subway tunnel.

[0066] In one feasible implementation, urban subway tunnels are categorized according to typical characteristics, and representative models are selected to establish a detailed model of the subway tunnel. This detailed model includes: typical subway tunnel structural forms, burial depths, and surrounding site characteristics, including tunnel material properties, tunnel type, local soil layer distribution, and wave velocity, damping, and nonlinear characteristics of each soil layer. The model mesh size is at the decimeter level.

[0067] Specifically, to select typical subway tunnel types in the target city, it is necessary to determine the selection criteria for typical representatives of the site-subway tunnel network-building seismic damage analysis (such as typical subway tunnel types), classify urban subway tunnels according to typical characteristics such as structural form and burial depth, and select typical representatives that can represent the overall characteristics of tunnels in the region.

[0068] To establish a detailed site-subway tunnel model at a local scale, it is necessary to define the dimensions of the model construction: geometric parameters should match the actual dimensions of a typical tunnel, material properties should include tunnel structural parameters such as concrete strength and elastic modulus, and the coupling relationship between the tunnel and the surrounding site (such as contact interface characteristics) should be defined. It is also necessary to collect local soil layer distribution data, determine the wave velocity, damping, and nonlinear characteristic parameters of each soil layer, divide the model according to the decimeter-level grid size, and finally form a complete and detailed model including the tunnel and the site, providing basic data support for subsequent site-subway tunnel network-building seismic damage analysis.

[0069] S2. Set multiple simplification forms, simplify the fine site-subway tunnel model according to the multiple simplification forms, and establish simplified site-subway tunnel dynamic models with different simplification forms.

[0070] Optionally, step S2 above may include the following steps S21-S22:

[0071] S21. Several simplified forms are set according to the characteristic parameters of typical subway tunnel types.

[0072] S22. Using finite element software, simplified site-subway tunnel dynamic models with different simplification forms are established based on multiple simplification forms; among them, the mesh size of the simplified site-subway tunnel dynamic model is at the 10m level.

[0073] In one feasible implementation, the simplified site-subway tunnel dynamics model is a simplified numerical model used to balance computational efficiency and local accuracy, and adapted to the analysis of seismic damage to urban-level site-subway tunnel networks and buildings. By integrating typical tunnel characteristics, site soil properties and grid scale optimization, it quantifies the impact of different simplification dimensions on the dynamic transfer characteristics of tunnel-site, and provides an efficient and accurate local simplification scheme for the construction of the overall model.

[0074] Furthermore, the construction of a simplified site-subway tunnel dynamics model needs to focus on characteristic parameters such as shape, holes, and wall thickness. Different simplification methods can include: simplifying the tunnel according to different shapes, whether to retain holes, whether to build thin walls, etc., and the mesh size of all simplified models is uniformly set to the 10m level.

[0075] Specifically, the core parameters and applicable scenarios for the four simplified forms are as follows:

[0076] Simplified Form 1 (Circular Solid Model Without Holes): Ignoring the holes inside the tunnel, the tunnel is simplified into a circular solid body with a uniform cross-section.

[0077] Simplified Form 2 (Circular Retained Hole Model): The internal holes of the tunnel are retained, and the "segment + bolt" structure is equivalent to a continuous circular thin wall.

[0078] Simplified Form 3 (Rectangular Solid Model Without Holes): The tunnel is simplified into a rectangular solid body.

[0079] Simplified Form 4 (Rectangular Thin-Wall Model with Retained Holes): The internal holes of the tunnel are retained, and the support structure is simplified to a rectangular thin wall.

[0080] S3. Calculate the transfer functions of the refined site-subway tunnel model and the simplified site-subway tunnel dynamics model respectively, and determine the simplified site-subway tunnel dynamics model with the highest matching degree and the corresponding parameter determination method.

[0081] Optionally, step S3 above may include the following steps S31-S32:

[0082] S31. Apply the same excitation to the fine site-subway tunnel model and the simplified site-subway tunnel dynamics model respectively, obtain monitoring data, and calculate the dynamic response transfer function from the ground surface to the bottom of the tunnel for the fine site-subway tunnel model and the simplified site-subway tunnel dynamics model based on the monitoring data.

[0083] S32. Based on the dynamic response transfer function of the refined site-subway tunnel model, the matching degree between the simplified site-subway tunnel dynamic model and the refined site-subway tunnel model is quantified by the mean square error. The matching accuracy is optimized by adjusting the core material parameter (tunnel elastic modulus). The scheme with the smallest mean square error is selected as the optimal parameter determination method for the simplified model.

[0084] In one feasible implementation, a fine site-subway tunnel model and the four simplified models mentioned above are established using finite element software. The same sinusoidal excitation (frequency range 0.1-20Hz) is applied to all models, and the dynamic response transfer function from the ground surface to the bottom of the tunnel is calculated. Based on the transfer function of the fine model, the matching degree of the simplified model is quantified by the mean square error, the elastic modulus of the material is adjusted, and the simplified model with the highest matching degree and the corresponding parameter determination method are selected.

[0085] Specifically, based on the dynamic characteristic data of the fine site-subway tunnel model and the simplified site-subway tunnel model, a fine site-subway tunnel model is established in ABAQUS, and a simplified site-subway tunnel model is established in SPEED. By executing the transfer function calculation and parameter optimization process, the method for determining the parameters of the most suitable simplified model is obtained.

[0086] Among them, ABAQUS is suitable for detailed model analysis at local scales, while SPEED can fully consider the seismic wave propagation process within large-scale urban areas. The transfer function calculation and parameter optimization process refers to the technical path that leverages the technical advantages of various analysis software in dynamic modeling and frequency domain analysis to quantify the dynamic consistency between detailed and simplified models and to select the optimal simplified parameters. Its core is to achieve accurate calculation of the transfer function through unified excitation loading, data monitoring, and frequency domain transformation standards. Then, by iteratively adjusting key parameters, the computational accuracy and efficiency of the simplified model are ultimately balanced, providing a reliable simplification solution for constructing city-level overall models.

[0087] For example, the process could involve applying the same Ricker wavelet excitation to both the refined and simplified models, calculating the "surface-tunnel bottom" acceleration transfer function, quantifying the matching degree using the mean square error, optimizing the matching accuracy by adjusting the core material parameters, and finally determining the parameter selection rules for each simplified model. For instance, if there are four simplified forms for a certain type of tunnel, and calculations show that simplified form 2 has the smallest mean square error and the matching degree is optimal after adjusting the elastic modulus and damping ratio, then "simplified form 2 + specific parameter combination" is determined as the parameter determination method for this type of tunnel.

[0088] It should be noted that by establishing a multi-dimensional simplified model and selecting the optimal solution, we can avoid the accuracy deviation of a single simplified form and significantly reduce the computational load of the city-level model. This lays the foundation for the efficient calculation of the subsequent overall model of "earthquake source-site-subway tunnel network-building complex", and improves the practicality and accuracy of the site-subway tunnel network-building seismic damage analysis.

[0089] By clarifying the applicable scenarios and core parameters of the four simplified forms and combining them with transfer function matching verification, the optimal simplified scheme for different types of tunnels can be accurately determined. This ensures that the local dynamic characteristics are consistent with the actual working conditions, provides an efficient simplified path for the construction of large-scale city-level models, and provides key support for the reliability of subsequent seismic response analysis results.

[0090] By clarifying the calculation standards for transfer functions and focusing on adjusting core parameters, a simplified solution that balances accuracy and efficiency can be quickly selected, providing a clear basis for differentiated simplification of different types of tunnels and further ensuring the accuracy of site-subway tunnel network-building seismic damage analysis.

[0091] S4. Determine the non-uniform mesh division method based on the location and accuracy requirements of the subway tunnel, and complete the construction of the source-site-subway tunnel-building complex model of the target city's site and buildings based on the non-uniform mesh division method and parameter determination method.

[0092] Optionally, step S4 above may include the following steps S41-S42:

[0093] S41. Based on the location of the tunnel network and the accuracy requirements of each module of the model, determine the non-uniform grid division method (e.g., 200m grid in the source area, 50m grid in the core area, and 10m grid around the tunnel / building). Based on the non-uniform grid division method, perform grid division on the source-site-subway tunnel-building complex model to be established.

[0094] S42. Based on the predefined grid and parameter determination method, assign material and dynamic behavior attributes to the site, seismic source, subway tunnel, and building complex in sequence to complete the construction of the seismic source-site-subway tunnel-building complex model of the target city's site and buildings.

[0095] In one feasible implementation, the "source-site-subway tunnel network-building" model includes topographic information within the analysis range, source location, site velocity structure, density and damping, building distribution, building height and foundation material information, the stratum and location of the subway tunnel, and simplified parameters of the subway tunnel.

[0096] The “source-site-subway tunnel network-building complex” model refers to a numerical model that integrates geographical, engineering and source data of the target city in the analysis of site-subway tunnel network-building seismic damage, and realizes the full-chain coupling of “source energy transfer-site filtering and amplification-tunnel structural response-building damage evolution”. Its core is to balance the computational efficiency of the city-level model with the analysis accuracy of key areas through tunnel network location and differentiated grid division, so as to provide a complete carrier for large-scale earthquake risk assessment.

[0097] Specifically, six key types of information are first collected: topography, seismic source, site, buildings, tunnels, and simplified parameters (e.g., 1:5000 DEM data is used for topography, and potential fault parameters are determined for the seismic source). Then, combined with the discontinuous plus Liao-Jin method, the model is divided into "coarse grid for the seismic source, fine grid for the core area, and dense grid around the tunnel / building". Finally, material properties are assigned in sequence to form a fully coupled model.

[0098] It should be noted that by combining the location of the tunnel network with the depth of grid division in this model, the transmission path of seismic waves between "underground-tunnel-above-building" can be accurately reconstructed, and the differences in seismic response in different regions can be quantified, providing a scientific basis for subsequent tunnel structural safety assessment, building damage prediction and urban seismic planning.

[0099] This invention provides a method for constructing a large-scale "source-site-subway tunnel network-building" seismic damage analysis model, breaking through the precision limitations of large-scale analysis at the "source-site-subway tunnel network" scale. Under the premise of ensuring a balance between computational accuracy and efficiency, it establishes a tunnel network dynamic model adapted to broadband seismic wave analysis, providing a more refined and scientific basis for seismic design in cities with high tunnel density.

[0100] In this embodiment of the invention, a simplified three-dimensional dynamic model of a subway tunnel network for urban-scale analysis is used to couple the earthquake source, site, subway tunnel network, and building complex models. By relying on high-performance computing, the model's accuracy advantage can be fully utilized to achieve efficient and reliable analysis of the three-dimensional coupling effect of the subway tunnel network-soil-building complex, significantly improving the reliability and scientific nature of urban area earthquake risk assessment.

[0101] Figure 2This is a block diagram illustrating a site-subway tunnel network-building seismic damage analysis apparatus according to an exemplary embodiment. The apparatus is used in a site-subway tunnel network-building seismic damage analysis method. (Refer to...) Figure 2 The device includes a fine model building module 310, a simplified model building module 320, a parameter determination module 330, and an output module 340. Wherein:

[0102] The fine model building module 310 is used to select typical subway tunnel forms in the target city and build a fine site-subway tunnel model at a local scale.

[0103] The simplified model building module 320 is used to set multiple simplification forms, simplify the fine site-subway tunnel model according to the multiple simplification forms, and establish simplified site-subway tunnel dynamic models with different simplification forms.

[0104] The parameter determination module 330 is used to calculate the transfer functions of the fine site-subway tunnel model and the simplified site-subway tunnel dynamics model respectively, and to determine the simplified site-subway tunnel dynamics model with the highest matching degree and the corresponding parameter determination method.

[0105] Output module 340 is used to determine the non-uniform grid division method according to the location and accuracy requirements of the subway tunnel, and to complete the construction of the source-site-subway tunnel-building complex model of the target city site and buildings according to the non-uniform grid division method and parameter determination method.

[0106] In this embodiment of the invention, a simplified three-dimensional dynamic model of a subway tunnel network for urban-scale analysis is used to couple the earthquake source, site, subway tunnel network, and building complex models. By relying on high-performance computing, the model's accuracy advantage can be fully utilized to achieve efficient and reliable analysis of the three-dimensional coupling effect of the subway tunnel network-soil-building complex, significantly improving the reliability and scientific nature of urban area earthquake risk assessment.

[0107] Figure 3 This is a structural schematic diagram of a site-subway tunnel network-building seismic damage analysis device provided in an embodiment of the present invention, as shown below. Figure 3 As shown, the site-subway tunnel network-building seismic damage analysis equipment may include the above-mentioned... Figure 2 The illustrated site-subway tunnel network-building seismic damage analysis device. Optionally, the site-subway tunnel network-building seismic damage analysis device 410 may include a first processor 2001.

[0108] Optionally, the site-metro tunnel network-building seismic damage analysis device 410 may also include a memory 2002 and a transceiver 2003.

[0109] The first processor 2001, memory 2002, and transceiver 2003 can be connected via a communication bus.

[0110] The following is combined Figure 3 A detailed description of each component of the site-subway tunnel network-building seismic damage analysis equipment 410 is provided below:

[0111] The first processor 2001 is the control center of the site-subway tunnel network-building seismic damage analysis equipment 410. It can be a single processor or a collective term for multiple processing elements. For example, the first processor 2001 can be one or more central processing units (CPUs), application-specific integrated circuits (ASICs), or one or more integrated circuits configured to implement embodiments of the present invention, such as one or more digital signal processors (DSPs), or one or more field-programmable gate arrays (FPGAs).

[0112] Optionally, the first processor 2001 can perform various functions of the site-subway tunnel network-building seismic damage analysis device 410 by running or executing software programs stored in the memory 2002 and calling data stored in the memory 2002.

[0113] In a specific implementation, as one example, the first processor 2001 may include one or more CPUs, for example... Figure 3 CPU0 and CPU1 are shown in the diagram.

[0114] In a specific implementation, as one example, the site-subway tunnel network-building seismic damage analysis device 410 may also include multiple processors, for example... Figure 3 The first processor 2001 and the second processor 2004 are shown in the diagram. Each of these processors can be a single-core processor or a multi-core processor. Here, a processor can refer to one or more devices, circuits, and / or processing cores used to process data (such as computer program instructions).

[0115] The memory 2002 is used to store the software program that executes the present invention, and is controlled by the first processor 2001 to execute it. The specific implementation method can be referred to the above method embodiment, and will not be repeated here.

[0116] Optionally, the memory 2002 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto. The memory 2002 may be integrated with the first processor 2001 or may exist independently, and may be connected via the interface circuit of the site-subway tunnel network-building seismic damage analysis device 410. Figure 3 (Not shown in the image) is coupled to the first processor 2001, and this embodiment of the invention does not specifically limit this.

[0117] The transceiver 2003 is used to communicate with network devices or with terminal devices.

[0118] Alternatively, transceiver 2003 may include a receiver and a transmitter. Figure 3 (Not shown separately). The receiver is used to implement the receiving function, and the transmitter is used to implement the transmitting function.

[0119] Optionally, the transceiver 2003 can be integrated with the first processor 2001 or exist independently, and can be connected via the interface circuit of the site-subway tunnel network-building seismic damage analysis equipment 410. Figure 3 (Not shown in the image) is coupled to the first processor 2001, and this embodiment of the invention does not specifically limit this.

[0120] It should be noted that, Figure 3 The structure of the site-subway tunnel network-building seismic damage analysis device 410 shown in the diagram does not constitute a limitation on the router. Actual knowledge structure identification devices may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0121] Furthermore, the technical effects of the site-subway tunnel network-building seismic damage analysis equipment 410 can be referred to the technical effects of the site-subway tunnel network-building seismic damage analysis method described in the above method embodiments, and will not be repeated here.

[0122] It should be understood that the first processor 2001 in the embodiments of the present invention may be a central processing unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0123] It should also be understood that the memory in the embodiments of the present invention can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced synchronous DRAM (ESDRAM), synchronous linked DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0124] The above embodiments can be implemented, in whole or in part, by software, hardware (such as circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. A semiconductor medium can be a solid-state drive.

[0125] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0126] In this invention, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of a single item or a plurality of items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be a single item or multiple items.

[0127] It should be understood that, in various embodiments of the present invention, the order of the above-mentioned process numbers does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0128] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0129] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the devices, apparatuses, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0130] In the several embodiments provided by this invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0131] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0132] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0133] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0134] 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 method for analyzing seismic damage to buildings within a site-subway tunnel network, characterized in that, The method includes: S1. Select typical subway tunnel types in the target city and establish a detailed site-subway tunnel model at a local scale; S2. Set multiple simplification forms, simplify the fine site-subway tunnel model according to the multiple simplification forms, and establish simplified site-subway tunnel dynamic models with different simplification forms; S3. Calculate the transfer functions of the refined site-subway tunnel model and the simplified site-subway tunnel dynamics model respectively, and determine the simplified site-subway tunnel dynamics model with the highest matching degree and the corresponding parameter determination method. S4. Determine the non-uniform grid division method based on the location and accuracy requirements of the subway tunnel, and complete the construction of the source-site-subway tunnel-building complex model of the target city's site and buildings based on the non-uniform grid division method and parameter determination method. The selection of typical subway tunnel types in the target city in S1, and the establishment of a detailed site-subway tunnel model at a local scale, includes: S11. Classify the subway tunnels of the target city according to their typical characteristics, and select the typical subway tunnel types of the target city based on the classification results; S12. Establish a fine-grained site-subway tunnel model with a mesh size at the decimeter level for typical subway tunnel forms in the target city. The fine-grained site-subway tunnel model includes the structural form, burial depth, surrounding site characteristics, structural material properties, type, local soil layer distribution, and wave velocity, damping, and nonlinear characteristics of each soil layer of the typical subway tunnel. The S2 section defines multiple simplification forms. Based on these simplification forms, the detailed site-subway tunnel model is simplified, and simplified site-subway tunnel dynamic models with different simplification forms are established, including: S21. Several simplified forms are set according to the characteristic parameters of typical subway tunnel types; S22. Using finite element software, simplified site-subway tunnel dynamic models with different simplification forms are established based on multiple simplification forms; the mesh size of the simplified site-subway tunnel dynamic models is on the order of 10m. The transfer functions of the refined site-subway tunnel model and the simplified site-subway tunnel dynamics model, respectively, are calculated in S3 to determine the simplified site-subway tunnel dynamics model with the highest matching degree and the corresponding parameter determination method, including: The same excitation was applied to the fine site-subway tunnel model and the simplified site-subway tunnel dynamic model respectively to obtain monitoring data. Based on the monitoring data, the dynamic response transfer function from the ground surface to the bottom of the tunnel for the fine site-subway tunnel model and the simplified site-subway tunnel dynamic model was calculated. Based on the dynamic response transfer function of the refined site-subway tunnel model, the matching degree between the simplified site-subway tunnel dynamic model and the refined site-subway tunnel model is quantified by mean square error. The matching accuracy is optimized by adjusting the core material parameters, and the simplified site-subway tunnel dynamic model with the highest matching degree and the corresponding parameter determination method are selected.

2. The site-subway tunnel network-building seismic damage analysis method according to claim 1, characterized in that, The multiple simplified forms include: Ignoring the internal openings of the subway tunnel, the subway tunnel is simplified as a solid circular body with a constant cross-section; The internal openings of the subway tunnel are preserved, and the segment and bolt structure are equivalent to a continuous circular thin wall. The subway tunnel is simplified into a solid rectangular shape; The internal openings of the subway tunnel are preserved, and the support structure is simplified to a rectangular thin wall.

3. The site-subway tunnel network-building seismic damage analysis method according to claim 1, characterized in that, S4 involves determining the non-uniform mesh generation method based on the location and accuracy requirements of the subway tunnel, and constructing a source-site-subway tunnel-building complex model of the target city's location and buildings based on the non-uniform mesh generation method and parameter determination method. This includes: S41. Determine the non-uniform mesh division method based on the location and accuracy requirements of the subway tunnel, and perform mesh division on the source-site-subway tunnel-building complex model to be established according to the non-uniform mesh division method. S42. Based on the predefined grid and parameter determination method, assign material and dynamic behavior attributes to the site, seismic source, subway tunnel, and building complex in sequence to complete the construction of the seismic source-site-subway tunnel-building complex model of the target city's site and buildings.

4. A site-subway tunnel network-building seismic damage analysis device, wherein the site-subway tunnel network-building seismic damage analysis device is used to implement the site-subway tunnel network-building seismic damage analysis method as described in any one of claims 1-3, characterized in that, The device includes: The fine model building module is used to select typical subway tunnel forms in the target city and build a fine site-subway tunnel model at a local scale. The simplified model building module is used to set multiple simplification forms, simplify the fine site-subway tunnel model according to the multiple simplification forms, and establish simplified site-subway tunnel dynamic models with different simplification forms; The parameter determination module is used to calculate the transfer functions of the fine site-subway tunnel model and the simplified site-subway tunnel dynamics model respectively, and to determine the simplified site-subway tunnel dynamics model with the highest matching degree and the corresponding parameter determination method. The output module is used to determine the non-uniform mesh division method based on the location and accuracy requirements of the subway tunnel, and to complete the construction of the source-site-subway tunnel-building complex model of the target city's site and buildings based on the non-uniform mesh division method and parameter determination method.

5. The site-subway tunnel network-building seismic damage analysis device according to claim 4, characterized in that, The process involves determining a non-uniform mesh generation method based on the location and accuracy requirements of the subway tunnel, and then constructing a source-site-subway tunnel-building complex model of the target city's location and buildings based on the non-uniform mesh generation method and parameter determination method. This includes: S41. Determine the non-uniform mesh division method based on the location and accuracy requirements of the subway tunnel, and perform mesh division on the source-site-subway tunnel-building complex model to be established according to the non-uniform mesh division method. S42. Based on the predefined grid and parameter determination method, assign material and dynamic behavior attributes to the site, seismic source, subway tunnel, and building complex in sequence to complete the construction of the seismic source-site-subway tunnel-building complex model of the target city's site and buildings.

6. A site-subway tunnel network-building seismic damage analysis device, characterized in that, The site-subway tunnel network-building seismic damage analysis equipment includes: processor; A memory storing computer-readable instructions that, when executed by the processor, implement the method as described in any one of claims 1 to 3.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium contains program code that can be invoked by a processor to execute the method as described in any one of claims 1 to 3.

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