Tunnel buried pipeline anti-seismic analysis method, device, equipment and storage medium

Abstract

The application discloses a tunnel buried pipeline anti-seismic analysis method, device, equipment and storage medium. The method comprises the following steps: acquiring buried pipeline associated data, constructing a buried pipeline finite element model based on the buried pipeline associated data, applying a preset displacement and a preset load to the buried pipeline in the buried pipeline finite element model to obtain a relationship curve of pipeline displacement and soil resistance; extracting soil spring model parameters from the relationship curve based on a data fitting technology, acquiring pipeline placement parameters, seismic associated parameters and seismic load parameters, and constructing a pipeline anti-seismic model based on the soil spring model parameters, the pipeline placement parameters and the seismic associated parameters; applying seismic load to the pipeline anti-seismic model based on the seismic load parameters to determine the tensile strain and the compressive strain of the pipeline axial direction, and determining the anti-seismic analysis result corresponding to the buried pipeline based on the tensile strain and the compressive strain. The accuracy and reliability of the pipeline anti-seismic evaluation under the special working condition of the tunnel can be significantly improved.

Description

Technical Field

[0001] This invention relates to the field of seismic analysis technology for pipelines, and in particular to a method, apparatus, equipment, and storage medium for seismic analysis of buried pipelines in tunnels. Background Technology

[0002] When a pipeline crosses an active fault zone, the interaction between the pipeline and the surrounding soil is a key issue in seismic analysis.

[0003] Existing technologies typically use beam elements to simulate pipelines and nonlinear soil springs in three directions to simulate the interaction between the soil and the pipeline. However, current soil spring models are mainly applicable to earthwork sections. For pipelines laid inside tunnels, due to the constraints of tunnel space and lining structures, conventional buried pipe-soil interaction models are not entirely suitable. Therefore, existing soil spring models have low accuracy in seismic analysis. Summary of the Invention

[0004] This invention provides a method, apparatus, and storage medium for seismic analysis of buried pipelines in tunnels, in order to solve the problem of low accuracy of existing soil spring models in seismic analysis.

[0005] According to one aspect of the present invention, a seismic analysis method for buried pipelines in tunnels is provided, the method comprising:

[0006] Obtain the associated data of the buried pipeline, construct a finite element model of the buried pipeline based on the associated data, and apply a preset displacement and a preset load to the buried pipeline in the finite element model of the buried pipeline to obtain the relationship curve between pipeline displacement and soil resistance.

[0007] Based on data fitting technology, soil spring model parameters are extracted from the relationship curve to obtain pipeline placement parameters, seismic correlation parameters and seismic load parameters. Based on the soil spring model parameters, pipeline placement parameters and seismic correlation parameters, a seismic resistance model for the pipeline is constructed.

[0008] Seismic loads are applied to the seismic model of the pipeline based on the seismic load parameters to determine the tensile strain and compressive strain in the pipeline axis. Based on the tensile strain and the compressive strain, the seismic analysis results corresponding to the buried pipeline are determined.

[0009] According to another aspect of the present invention, a seismic analysis device for buried pipelines in tunnels is provided, the device comprising:

[0010] The relationship curve acquisition module is used to acquire buried pipeline association data, construct a buried pipeline finite element model based on the buried pipeline association data, and apply preset displacement and preset load to the buried pipeline in the buried pipeline finite element model to obtain the relationship curve between pipeline displacement and soil resistance.

[0011] The seismic model construction module is used to extract soil spring model parameters from the relationship curve based on data fitting technology, obtain pipeline placement parameters, seismic correlation parameters and seismic load parameters, and construct a pipeline seismic model based on the soil spring model parameters, the pipeline placement parameters and the seismic correlation parameters;

[0012] The seismic analysis module is used to apply seismic loads to the seismic model of the pipeline based on the seismic load parameters, so as to determine the tensile strain and compressive strain in the pipeline axis, and to determine the seismic analysis results corresponding to the buried pipeline based on the tensile strain and the compressive strain.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] At least one processor; and

[0015] A memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the seismic analysis method for buried pipelines in tunnels according to any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions, the computer instructions being configured to cause a processor to execute and implement the seismic analysis method for buried pipelines in tunnels according to any embodiment of the present invention.

[0018] The technical solution of this invention involves acquiring buried pipeline correlation data, constructing a finite element model of the buried pipeline based on this data, applying preset displacements and loads to the buried pipeline in the finite element model to obtain the relationship curve between pipeline displacement and soil resistance; accurately simulating the mechanical behavior of the pipeline; then, using data fitting technology, extracting soil spring model parameters from the relationship curve to obtain pipeline placement parameters, seismic correlation parameters, and seismic load parameters; and constructing a seismic-resistant pipeline model based on these parameters; this facilitates a more realistic simulation of the pipeline's response during earthquakes. Seismic loads are applied to the seismic-resistant pipeline model based on the seismic load parameters to determine the axial tensile and compressive strains of the pipeline; and the seismic analysis results corresponding to the buried pipeline are determined based on the tensile and compressive strains. By refining the simulation of soil-pipe interaction, a method for determining soil spring parameters of buried pipelines in tunnels is provided, which can significantly improve the accuracy and reliability of seismic assessment of pipelines under special tunnel conditions.

[0019] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0020] 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.

[0021] Figure 1 This is a flowchart of a seismic analysis method for buried pipelines in tunnels according to Embodiment 1 of the present invention;

[0022] Figure 2a This is a flowchart of a seismic analysis method for buried pipelines in tunnels according to Embodiment 2 of the present invention;

[0023] Figure 2b This is a schematic diagram of a model of an optional example of a seismic analysis method for buried pipelines in tunnels provided in Embodiment 2 of the present invention;

[0024] Figure 2c This is a schematic diagram of the relationship curve between pipeline displacement and soil resistance, representing an optional example of a seismic analysis method for buried pipelines in tunnels according to Embodiment 2 of the present invention.

[0025] Figure 2d This is a schematic diagram of the sample lateral soil spring parameter results of an optional example of a seismic analysis method for buried pipelines in tunnels provided in Embodiment 2 of the present invention.

[0026] Figure 2e This is a schematic diagram of the vertical soil spring parameter results of an optional example of a seismic analysis method for buried pipelines in tunnels provided in Embodiment 2 of the present invention.

[0027] Figure 3 This is a structural schematic diagram of a seismic analysis device for buried pipelines in tunnels according to Embodiment 3 of the present invention;

[0028] Figure 4 This is a schematic diagram of the structure of an electronic device for implementing the seismic analysis method for buried pipelines in tunnels according to embodiments of the present invention. Detailed Implementation

[0029] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0030] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0031] Example 1

[0032] Figure 1 This invention provides a flowchart of a seismic analysis method for buried pipelines in tunnels, as shown in Embodiment 1. This embodiment is applicable to seismic analysis of buried pipelines in tunnels. The method can be executed by a seismic analysis device for buried pipelines in tunnels, which can be implemented in hardware and / or software and can be configured in an electronic device. For example... Figure 1 As shown, the method includes:

[0033] S110. Obtain buried pipeline association data, construct a buried pipeline finite element model based on the buried pipeline association data, apply preset displacement and preset load to the buried pipeline in the buried pipeline finite element model to obtain the relationship curve between pipeline displacement and soil resistance.

[0034] The associated data for buried pipelines can be understood as various parameters associated with the buried pipeline, such as the pipe diameter. The finite element model of a buried pipeline can be understood as a numerical model used to simulate and analyze the stress and deformation of buried pipelines under specific conditions (such as earthquakes, soil pressure, etc.). It discretizes the continuous pipeline and soil structure into a finite number of simple geometric elements, connecting these elements through nodes to approximate the physical behavior of the solid. The relationship curve between pipeline displacement and soil resistance can be understood as a soil resistance-displacement curve, reflecting the relationship between the soil's reaction force (resistance) and the displacement when the pipeline undergoes lateral displacement.

[0035] Specifically, data related to buried pipelines can be acquired, such as pipeline geometry, material properties, elastic modulus of the pipeline material, soil parameters, internal friction angle, and cohesion. Based on the acquired geometric data, a geometric model of the pipeline and the surrounding soil is established in finite element software. Material properties, including elastic modulus, Poisson's ratio, and density, are defined for both the pipeline and soil. The pipeline and soil models are then meshed to generate a finite element mesh. The mesh density is ensured to be high enough to capture stress-strain changes in critical areas. Boundary conditions for the pipeline (e.g., fixed end, free end) are set according to actual conditions, and preset displacements and loads are applied to the pipeline. A contact relationship is defined between the pipeline and the soil to simulate their interaction. Specifically, the finite element model is submitted for analysis, calculating the pipeline's response under preset displacements and loads. Displacement and soil resistance data are extracted from the analysis results, including the displacement at various points on the pipeline and the soil's reaction force on the pipeline. The extracted displacement and soil resistance data are then compiled into tables or charts, and a curve showing the relationship between pipeline displacement and soil resistance is plotted. The preset displacement and preset load can be preset based on experience, and this embodiment does not limit them.

[0036] Optionally, the buried pipeline association data includes pipeline association data and soil association data; the pipeline association data includes at least one of pipeline pressure data, pipeline wall thickness data, pipeline diameter data, pipeline type data, and pipe top burial depth data; the soil association data includes at least one of backfill soil type data, soil cohesion data, internal friction angle data, soil density data, soil pressure data, and Poisson's ratio data.

[0037] Among these, pipeline pressure data can be understood as the pressure value of the medium inside the pipeline. Pipeline wall thickness data can be understood as the thickness of the pipeline wall. Pipeline diameter data can be understood as the inner or outer diameter of the pipeline. Pipeline type data can be understood as the material type of the pipeline (e.g., steel pipe and plastic pipe). Pipeline top burial depth data can be understood as the vertical distance from the top of the pipeline to the ground. Backfill soil type data can be understood as the type of soil used for backfilling after pipeline installation (e.g., sand, clay, and gravel). Soil cohesion data can be understood as the bonding force between soil particles. Internal friction angle data can be understood as the frictional characteristic parameter between soil particles. Soil density data can be understood as the mass of soil per unit volume. Soil pressure data can be understood as the lateral or vertical pressure exerted by the soil on the pipeline. Poisson's ratio data can be understood as the ratio of the lateral strain to the longitudinal strain of the soil under stress.

[0038] Optionally, the step of constructing a finite element model of the buried pipeline based on the buried pipeline association data includes: determining shell elements and / or beam elements based on the buried pipeline association data, and constructing pipeline elements by discretizing the shell elements and / or beam elements; constructing soil elements using the buried pipeline association data, the Mohr-Coulomb mechanical model, and the nonlinear constitutive relation of the soil; simulating friction and separation effects using the buried pipeline association data and a contact algorithm, and constructing a pipe-soil interface based on the friction and separation effects; and constructing the finite element model of the buried pipeline based on the pipeline elements, the soil elements, and the pipe-soil interface.

[0039] Among them, shell elements can be understood as a type of element used to simulate thin-walled structures (such as pipes, pressure vessels, shell structures, etc.). Beam elements can be understood as a basic type of element used to simulate the behavior of beams or similar slender structures. Soil elements can be understood as a basic type of element used to simulate the behavior of soil. The pipe-soil interface can be understood as the contact surface between the buried pipe and the surrounding soil.

[0040] Specifically, based on the buried pipeline's associated data (such as pipeline diameter, wall thickness, length, etc.), the pipeline is discretized into a finite number of shell elements or beam elements. The connection and continuity between elements are ensured to accurately simulate the overall behavior of the pipeline. A nonlinear constitutive relation for the soil is used to describe the stress-strain behavior of the soil under load. The constitutive parameters of the soil are determined based on the buried pipeline's associated data (such as soil type, deformation modulus, Poisson's ratio, etc.). The soil is discretized into a finite number of solid elements, such as three-dimensional eight-node hexahedral elements. Based on the buried pipeline's associated data and contact algorithms, a pipe-soil interface is constructed between the pipeline elements and the soil elements. The interface is ensured to accurately transmit the forces and displacements between the pipeline and the soil. The constructed pipeline elements, soil elements, and pipe-soil interface are integrated to form a complete finite element model of the buried pipeline. S120: Based on data fitting technology, soil spring model parameters are extracted from the relationship curves to obtain pipeline placement parameters, seismic associated parameters, and seismic load parameters. A seismic-resistant model of the pipeline is constructed based on the soil spring model parameters, the pipeline placement parameters, and the seismic associated parameters.

[0041] Among these parameters, the soil spring model parameters can be understood as key values ​​describing the interaction characteristics between the buried pipeline and the surrounding soil. Pipeline placement parameters can be understood as parameters describing the pipeline's position, orientation, spacing, and relative relationship with other pipelines, structures, or equipment in space. Seismic correlation parameters can include earthquake magnitude, seismic wave direction, and earthquake location. Seismic load parameters can be understood as the load parameters generated by actual earthquakes. The pipeline seismic resistance model can be understood as a three-dimensional finite element model.

[0042] Specifically, select an appropriate data fitting method, such as least squares or nonlinear regression, to fit the relationship curve. Through the fitting process, determine the parameters of the soil spring model, such as the spring stiffness coefficient and damping coefficient. Based on the pipe placement parameters, establish a three-dimensional geometric model of the pipe in the finite element software. Consider the actual size, shape, and connection relationships of the pipe to ensure the accuracy of the model. Define appropriate material properties for the pipe and soil, including elastic modulus, Poisson's ratio, and density. For the soil, define its nonlinear mechanical behavior according to the soil spring model parameters. Mesh the geometric model to generate finite element elements. Select an appropriate mesh density and element type based on the required analysis accuracy and computational resources. Set the input method for seismic loads, such as acceleration time history or displacement time history, based on seismic correlation parameters. Consider the constraint effect of the soil and set the connection relationship between the pipe and the soil using the soil spring model parameters.

[0043] Optionally, the extraction of soil spring model parameters from the relationship curve based on data fitting technology includes: performing piecewise fitting on the relationship curve to obtain a corrected fitted relationship curve; extracting the elastic stage stiffness coefficient and ultimate displacement value based on the fitted relationship curve, and determining the soil yield parameter based on the ultimate displacement value; determining the initial soil spring model parameters based on the seismic technical specifications for oil and gas pipeline engineering; wherein the initial soil spring model parameters include a first initial parameter for the vertically downward soil spring model and a second initial parameter for the lateral soil spring model; and correcting the first and second initial parameters based on the elastic stage stiffness coefficient and the soil yield parameter to obtain the vertically downward soil spring model parameters and the lateral soil spring model parameters.

[0044] The first initial parameter can be understood as the vertically downward soil-elastic model parameter to be corrected. The second initial parameter can be understood as the lateral soil-spring model parameter to be corrected.

[0045] Specifically, considering the space constraints of the tunnel and the constraint effect of the lining structure, the lateral soil spring parameters are calculated using the finite element analysis method; in the vertical downward direction, considering the thin soil layer below the bottom of the pipeline and the influence of the rigid constraint of the lining, the vertical downward soil spring parameters are calculated using the finite element analysis method.

[0046] Specifically, the original relationship curve is segmented, typically based on its characteristics (e.g., linear or nonlinear segments) or physical meaning (e.g., elastic or plastic stages). Each segment is fitted separately using a suitable fitting function (e.g., linear, polynomial, or exponential functions) to obtain the fitted relationship curve for each segment. These fitted relationship curves are then combined to form a corrected overall fitted relationship curve. The slope of the elastic stage, i.e., the elastic stage stiffness coefficient, is extracted from the corrected fitted relationship curve. This coefficient reflects the constraint stiffness of the soil on the pipeline in the elastic stage. The displacement value at which the soil begins to enter the plastic stage in the fitted relationship curve is determined, i.e., the ultimate displacement value. This value represents the maximum displacement the soil can withstand in the elastic stage. Based on the ultimate displacement value, combined with the soil's mechanical properties and experimental data, the yield parameter of the soil is determined. The yield parameter is usually related to the soil's strength, deformation characteristics, and stress state. For example, the initial soil spring model parameters can be determined according to relevant standards such as the "Technical Specification for Seismic Resistance of Oil and Gas Pipeline Engineering". The stiffness coefficients in the first and second initial parameters are corrected using the elastic stage stiffness coefficients extracted from the fitted relationship curves. The corrected stiffness coefficients should more accurately reflect the constraint effect of the soil on the pipeline in the elastic stage. Considering the influence of the soil yield parameter on the soil spring model parameters, the first and second initial parameters are further corrected. For example, when the soil enters the plastic stage, its stiffness changes, thus requiring corresponding adjustments to the stiffness coefficients of the soil springs. After correction, the vertically downward soil spring model parameters and the lateral soil spring model parameters are obtained.

[0047] Optional, also includes:

[0048] The parameters of the vertical upward soil spring model and the axial soil spring model are determined based on the seismic technical specifications for oil and gas pipeline engineering.

[0049] Specifically, the axial soil spring parameter model in GB / T 50470-2017 is used, and the axial soil spring parameters are calculated in combination with the soil mechanical properties of the trench backfill soil. The vertical upward direction directly adopts the vertical upward soil spring model in GB / T50470-2017.

[0050] S130. Apply seismic load to the seismic model of the pipeline based on the seismic load parameters to determine the tensile strain and compressive strain in the pipeline axis, and determine the seismic analysis results corresponding to the buried pipeline based on the tensile strain and the compressive strain.

[0051] Tensile strain represents the degree of deformation of a pipe when it is subjected to axial tension, while compressive strain represents the degree of deformation of a pipe when it is subjected to axial compression.

[0052] Specifically, by acquiring the target model parameters and combining them with data such as the pipeline's geometric dimensions, material properties, and boundary conditions, an axial stress analysis model for the pipeline is established. Considering factors such as inertial forces, soil pressure, and the pipeline's self-weight under seismic loading, axial stress analysis is performed on the pipeline. Based on the stress analysis results, Hooke's law (within the elastic range) or constitutive relations (e.g., considering nonlinear behaviors such as plasticity and creep) are used to calculate the axial tensile and compressive strains of the pipeline. Tensile and compressive strains directly reflect the deformation of the pipeline under seismic loading. By analyzing the strain distribution and magnitude, the degree of deformation and possible failure modes of the pipeline during an earthquake can be assessed. Combined with the pipeline's allowable strain limits, the seismic performance of the pipeline under seismic loading is evaluated. If the pipeline's strain exceeds the allowable limits, damage or failure may occur, requiring corresponding seismic reinforcement measures. Based on strain analysis and seismic performance assessment, the seismic analysis results corresponding to the buried pipeline are determined, including the pipeline's deformation, stress distribution, failure mode, and whether seismic reinforcement measures are needed.

[0053] The technical solution of this invention involves acquiring buried pipeline correlation data, constructing a finite element model of the buried pipeline based on this data, applying preset displacements and loads to the buried pipeline in the finite element model to obtain the relationship curve between pipeline displacement and soil resistance; accurately simulating the mechanical behavior of the pipeline; then, using data fitting technology, extracting soil spring model parameters from the relationship curve to obtain pipeline placement parameters, seismic correlation parameters, and seismic load parameters; and constructing a seismic-resistant pipeline model based on these parameters; this facilitates a more realistic simulation of the pipeline's response during earthquakes. Seismic loads are applied to the seismic-resistant pipeline model based on the seismic load parameters to determine the axial tensile and compressive strains of the pipeline; and the seismic analysis results corresponding to the buried pipeline are determined based on the tensile and compressive strains. By refining the simulation of soil-pipe interaction, a method for determining soil spring parameters of buried pipelines in tunnels is provided, which can significantly improve the accuracy and reliability of seismic assessment of pipelines under special tunnel conditions.

[0054] Example 2

[0055] Figure 2aThis is a flowchart of a seismic analysis method for buried pipelines in tunnels, provided in Embodiment 2 of the present invention. This embodiment is a further optimization of how to determine the seismic analysis result corresponding to the buried pipeline based on the tensile strain and the compressive strain in the above embodiments. Optionally, determining the seismic analysis result corresponding to the buried pipeline based on the tensile strain and the compressive strain includes: determining a first analysis result based on the tensile strain and a preset tensile strain threshold; determining a second analysis result based on the compressive strain and a preset compressive strain threshold; and determining the seismic analysis result corresponding to the buried pipeline based on the first analysis result and the second analysis result.

[0056] like Figure 2a As shown, the method includes:

[0057] S210. Obtain buried pipeline association data, construct a buried pipeline finite element model based on the buried pipeline association data, apply preset displacement and preset load to the buried pipeline in the buried pipeline finite element model to obtain the relationship curve between pipeline displacement and soil resistance.

[0058] S220. Based on data fitting technology, extract soil spring model parameters from the relationship curve, obtain pipeline placement parameters, seismic correlation parameters and seismic load parameters, and construct a pipeline seismic resistance model based on the soil spring model parameters, the pipeline placement parameters and the seismic correlation parameters.

[0059] S230. Apply seismic load to the pipeline seismic model based on the seismic load parameters to determine the tensile strain and compressive strain in the pipeline axis. Determine the first analysis result based on the tensile strain and a preset tensile strain threshold, and determine the second analysis result based on the compressive strain and a preset compressive strain threshold.

[0060] The first analysis result can be understood as the tensile strain analysis result, and the second analysis result can be understood as the compressive strain analysis result. The preset tensile strain threshold and preset compressive strain threshold can be preset based on experience, and this embodiment does not impose any restrictions on them.

[0061] Specifically, using target displacement data, the axial elongation or shortening of the pipeline can be calculated. Combined with the original length of the pipeline, the tensile strain or compressive strain is determined by calculating the ratio of the length change to the original length. The calculated tensile strain is compared with a preset tensile strain threshold. If the tensile strain is less than or equal to the preset tensile strain threshold, the pipeline is safe under tension, and the first analysis result is "safe". If the tensile strain is greater than the preset tensile strain threshold, the pipeline may fail or be damaged under tension, and the first analysis result is "unsafe". The calculated compressive strain is then compared with a preset compressive strain threshold. If the compressive strain (absolute value) is less than or equal to the preset compressive strain threshold, the pipeline is safe under compression, and the second analysis result is "safe". If the compressive strain (absolute value) is greater than the preset compressive strain threshold, the pipeline may fail or be damaged under compression, and the second analysis result is "unsafe".

[0062] S240. Based on the first analysis result and the second analysis result, determine the seismic analysis result corresponding to the buried pipeline.

[0063] Specifically, if the tensile strain is less than or equal to a preset threshold, the first analysis result is "safe," indicating that the pipeline can withstand seismic forces without damage under tension. If the tensile strain is greater than the preset threshold, the first analysis result is "unsafe," indicating that the pipeline may be damaged by seismic forces under tension. If the compressive strain (absolute value) is less than or equal to the preset threshold, the second analysis result is "safe," indicating that the pipeline can withstand seismic forces without damage under compression. If the compressive strain (absolute value) is greater than the preset threshold, the second analysis result is "unsafe," indicating that the pipeline may be damaged by seismic forces under compression. If both the first and second analysis results are "safe," it can be considered that the buried pipeline can maintain its integrity under seismic forces, whether under tension or compression, and will not be damaged. Therefore, the seismic analysis result is "the pipeline is safe under seismic forces." If either the first or second analysis result is "unsafe," it indicates that the buried pipeline may be damaged under tension or compression under seismic forces. In this situation, further analysis is needed to determine the causes of the "unsafety," which could include insufficient material properties of the pipeline, unreasonable design, construction defects, or excessive seismic forces. The seismic analysis result is that "the pipeline faces safety risks under seismic forces, requiring reinforcement measures or adjustments to the design scheme."

[0064] When both the first and second analysis results are "safe," the seismic analysis result can be directly concluded as "safe," and regular monitoring and maintenance of the pipeline are recommended to ensure its long-term safety. When either the first or second analysis result is "unsafe," a detailed analysis of the reasons is required, and corresponding reinforcement measures or design adjustments should be proposed. Reinforcement measures may include increasing the pipeline wall thickness, improving the pipeline material properties, and installing seismic supports or dampers.

[0065] The technical solution of this invention, based on the first and second analysis results, can comprehensively assess the safety of buried pipelines under seismic loading. If the seismic analysis result is "safe," it is recommended to continue monitoring and maintenance of the pipeline. If the seismic analysis result is "unsafe," immediate measures need to be taken to reinforce the pipeline or adjust the design to ensure its safety under seismic loading.

[0066] The technical solution of this invention determines a first analysis result based on the tensile strain and a preset tensile strain threshold, and a second analysis result based on the compressive strain and a preset compressive strain threshold; based on the first and second analysis results, a seismic analysis result corresponding to the buried pipeline is determined. This provides an accurate and comprehensive assessment of the pipeline's seismic performance. It helps decision-makers formulate seismic mitigation policies, plans, and measures more scientifically, improving the rationality and effectiveness of decision-making.

[0067] As an optional example of Embodiment 1 of the present invention, the seismic analysis method for buried pipelines in tunnels in this embodiment specifically includes the following steps:

[0068] Step 1. Model Establishment: Based on the actual tunnel laying cross-section and pipeline layout, a coupled model of buried pipeline-soil-lining inside the tunnel is established using finite element software. Figure 2b A schematic model of an optional example of a seismic analysis method for buried pipelines within tunnels is provided. For example... Figure 2b As shown, the model includes the tunnel lining structure, trench backfill soil, surrounding soil and rock media, and the internal buried pipeline system.

[0069] Step 2. Boundary Condition Simulation: Simulate the surface displacement field caused by active fault displacement and apply corresponding boundary conditions. Figure 2c This is a schematic diagram of the relationship curve between pipeline displacement and soil resistance, representing an optional example of a seismic analysis method for buried pipelines in tunnels according to Embodiment 2 of the present invention.

[0070] Step 3. Calculation of axial soil spring parameters: The axial soil spring parameters are calculated by using a preset axial soil spring parameter model, such as the axial soil spring parameter model in GB / T50470-2017, combined with the soil mechanical properties of the trench backfill soil.

[0071] Step 4. Calculation of lateral soil spring parameters: Taking into full account the space constraints of the tunnel and the constraint effect of the lining structure, the lateral soil spring parameters are calculated using the finite element analysis method. Figure 2c A schematic diagram of the sample lateral soil spring parameter results is provided as an optional example of a seismic analysis method for buried pipelines in tunnels. (See attached diagram.) Figure 2c As shown, the calculation results include soil spring parameters for lateral-left and lateral-right directions, respectively.

[0072] Step 5. Calculation of vertical soil spring parameters: For the vertically upward direction, a preset vertically upward soil spring model is directly used, such as the vertically upward soil spring model in GB / T 50470-2017. For the vertically downward direction, considering the thin soil layer below the bottom of the pipeline and the influence of the rigid constraint of the lining, the finite element analysis method is used to calculate the vertically downward soil spring parameters. Figure 2d A schematic diagram of the vertical soil spring parameter results for a sample of an optional example of a seismic analysis method for buried pipelines in tunnels is provided. Figure 2d As shown, the calculation results include soil spring parameters for vertically downward and vertically upward directions, respectively.

[0073] Step 6. Seismic performance assessment: Calculate the axial tensile strain and compressive strain of the pipeline under the action of an active fault, and assess the seismic performance of the pipeline in accordance with the specifications.

[0074] The technical solution of this invention establishes a pipe-soil-lining coupled model and corrects the axial, lateral, and vertical soil spring parameters respectively. The finite element method is then used to calculate the soil spring parameters in the lateral and vertical directions, enabling a more accurate reflection of the influence of the complex environment within the tunnel on the pipe-soil interaction. This method not only improves the reliability of seismic analysis results but also provides a scientific basis for the design of buried pipelines within tunnels, effectively reducing potential safety risks. It promotes the application and development of nonlinear soil spring models in complex environments, possessing significant engineering practical value and broad application prospects.

[0075] Example 3

[0076] Figure 3 This is a structural schematic diagram of a seismic analysis device for buried pipelines in tunnels, provided in Embodiment 3 of the present invention. Figure 3 As shown, the device includes: a relationship curve acquisition module 310, a seismic model construction module 320, and a seismic analysis module 330.

[0077] The module 310 is used to acquire buried pipeline correlation data, construct a buried pipeline finite element model based on the buried pipeline correlation data, and apply preset displacement and preset load to the buried pipeline in the buried pipeline finite element model to obtain the relationship curve between pipeline displacement and soil resistance. The seismic model construction module 320 is used to extract soil spring model parameters from the relationship curve based on data fitting technology, acquire pipeline placement parameters, seismic correlation parameters and seismic load parameters, and construct a pipeline seismic model based on the soil spring model parameters, the pipeline placement parameters and the seismic correlation parameters. The seismic analysis module 330 is used to apply seismic load to the pipeline seismic model based on the seismic load parameters to determine the tensile strain and compressive strain of the pipeline axis, and determine the seismic analysis results corresponding to the buried pipeline based on the tensile strain and the compressive strain.

[0078] The technical solution of this invention involves acquiring buried pipeline correlation data, constructing a finite element model of the buried pipeline based on this data, applying preset displacements and loads to the buried pipeline in the finite element model to obtain the relationship curve between pipeline displacement and soil resistance; accurately simulating the mechanical behavior of the pipeline; then, using data fitting technology, extracting soil spring model parameters from the relationship curve to obtain pipeline placement parameters, seismic correlation parameters, and seismic load parameters; and constructing a seismic-resistant pipeline model based on these parameters; this facilitates a more realistic simulation of the pipeline's response during earthquakes. Seismic loads are applied to the seismic-resistant pipeline model based on the seismic load parameters to determine the axial tensile and compressive strains of the pipeline; and the seismic analysis results corresponding to the buried pipeline are determined based on the tensile and compressive strains. By refining the simulation of soil-pipe interaction, a method for determining soil spring parameters of buried pipelines in tunnels is provided, which can significantly improve the accuracy and reliability of seismic assessment of pipelines under special tunnel conditions.

[0079] Optionally, the relationship curve acquisition module includes:

[0080] The first construction unit is used to determine shell units and / or beam units based on the buried pipeline association data, and to construct pipeline units by discretizing shell units and / or beam units.

[0081] The second building unit is used to construct soil elements using the buried pipeline association data, the Mohr-Coulomb mechanical model, and the nonlinear constitutive relation of the soil.

[0082] The third construction unit is used to simulate friction and separation effects through the buried pipeline association data and contact algorithm, and to construct the pipe-soil interface based on the friction and separation effects;

[0083] The model building unit is used to build the finite element model of the buried pipeline based on the pipeline unit, the soil unit, and the pipe-soil interface.

[0084] Optionally, the relationship curve acquisition module includes:

[0085] A curve correction unit is used to perform piecewise fitting on the relationship curve to obtain a corrected fitted relationship curve.

[0086] The parameter extraction unit is used to extract the elastic stage stiffness coefficient and ultimate displacement value based on the fitted relationship curve, and to determine the soil yield parameter based on the ultimate displacement value.

[0087] The model parameter determination unit is used to determine the initial soil spring model parameters based on the seismic technical specifications for oil and gas pipeline engineering; wherein, the initial soil spring model parameters include the first initial parameters of the vertically downward soil spring model and the second initial parameters of the lateral soil spring model;

[0088] The model parameter correction unit is used to correct the first initial parameter and the second initial parameter based on the elastic stage stiffness coefficient and the soil yield parameter to obtain the vertically downward soil spring model parameter and the lateral soil spring model parameter.

[0089] Optionally, the device further includes:

[0090] The model parameter determination module is used to determine the vertical upward soil spring model parameters and the axial soil spring model parameters based on the seismic technical specifications for oil and gas pipeline engineering.

[0091] Optionally, the buried pipeline association data includes pipeline association data and soil association data; the pipeline association data includes at least one of pipeline pressure data, pipeline wall thickness data, pipeline diameter data, pipeline type data, and pipe top burial depth data; the soil association data includes at least one of backfill soil type data, soil cohesion data, internal friction angle data, soil density data, soil pressure data, and Poisson's ratio data.

[0092] Optionally, the seismic analysis module includes:

[0093] The seismic analysis unit is used to determine a first analysis result based on the tensile strain and a preset tensile strain threshold, and to determine a second analysis result based on the compressive strain and a preset compressive strain threshold.

[0094] The analysis result determination unit is used to determine the seismic analysis result corresponding to the buried pipeline based on the first analysis result and the second analysis result.

[0095] The seismic analysis device for buried pipelines in tunnels provided in this embodiment of the invention can execute the seismic analysis method for buried pipelines in tunnels provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0096] Example 4

[0097] Figure 4 A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0098] like Figure 4 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0099] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0100] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, central processing unit (CPU), graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the method of seismic analysis of buried pipelines in tunnels.

[0101] In some embodiments, the method for seismic analysis of buried pipelines within a tunnel can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the method for seismic analysis of buried pipelines within a tunnel described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform the method for seismic analysis of buried pipelines within a tunnel by any other suitable means (e.g., by means of firmware).

[0102] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0103] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0104] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0105] To provide interaction with a service recipient, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the service recipient; and a keyboard and pointing device (e.g., a mouse or trackball) through which the service recipient can provide input to the electronic device. Other types of devices can also be used to provide interaction with the service recipient; for example, feedback provided to the service recipient can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the service recipient can be received in any form (including voice input, speech input, or tactile input).

[0106] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., service-seeking computers with a graphical service-seeking interface or a web browser through which the service-seeking party can interact with the implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0107] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0108] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0109] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A seismic analysis method for buried pipelines in tunnels, characterized in that, include: Obtain the associated data of the buried pipeline, construct a finite element model of the buried pipeline based on the associated data, and apply a preset displacement and a preset load to the buried pipeline in the finite element model of the buried pipeline to obtain the relationship curve between pipeline displacement and soil resistance. Based on data fitting technology, soil spring model parameters are extracted from the relationship curve to obtain pipeline placement parameters, seismic correlation parameters and seismic load parameters. Based on the soil spring model parameters, pipeline placement parameters and seismic correlation parameters, a seismic resistance model for the pipeline is constructed. Seismic loads are applied to the seismic model of the pipeline based on the seismic load parameters to determine the tensile strain and compressive strain in the pipeline axis. Based on the tensile strain and the compressive strain, the seismic analysis results corresponding to the buried pipeline are determined.

2. The method according to claim 1, characterized in that, The construction of the finite element model of the buried pipeline based on the associated data of the buried pipeline includes: Based on the buried pipeline association data, shell units and / or beam units are determined, and pipeline units are constructed by discretizing the shell units and / or beam units. Soil elements are constructed using the buried pipeline correlation data, the Mohr-Coulomb mechanical model, and the nonlinear constitutive relation of the soil. Friction and separation effects are simulated using the associated data of the buried pipeline and the contact algorithm, and a pipe-soil interface is constructed based on the friction and separation effects. The buried pipeline finite element model is constructed based on the pipeline unit, the soil unit, and the pipe-soil interface.

3. The method according to claim 1, characterized in that, The extraction of soil spring model parameters from the relationship curve based on data fitting technology includes: The relationship curve is piecewise fitted to obtain a corrected fitted relationship curve; Based on the fitted relationship curve, the elastic stage stiffness coefficient and ultimate displacement value are extracted, and the soil yield parameter is determined based on the ultimate displacement value. The initial soil spring model parameters are determined based on the seismic resistance technical specifications for oil and gas pipeline engineering; wherein, the initial soil spring model parameters include the first initial parameters of the vertically downward soil spring model and the second initial parameters of the lateral soil spring model. The first and second initial parameters are corrected based on the elastic stage stiffness coefficient and the soil yield parameter to obtain the vertically downward soil spring model parameters and the lateral soil spring model parameters.

4. The method according to claim 3, characterized in that, Also includes: The parameters of the vertical upward soil spring model and the axial soil spring model are determined based on the seismic technical specifications for oil and gas pipeline engineering.

5. The method according to claim 1, characterized in that, The buried pipeline association data includes pipeline association data and soil association data; the pipeline association data includes at least one of pipeline pressure data, pipeline wall thickness data, pipeline diameter data, pipeline type data, and pipe top burial depth data; the soil association data includes at least one of backfill soil type data, soil cohesion data, internal friction angle data, soil density data, soil pressure data, and Poisson's ratio data.

6. The method according to claim 1, characterized in that, The determination of the seismic analysis results corresponding to the buried pipeline based on the tensile strain and the compressive strain includes: A first analysis result is determined based on the tensile strain and a preset tensile strain threshold, and a second analysis result is determined based on the compressive strain and a preset compressive strain threshold. Based on the first analysis result and the second analysis result, the seismic analysis result corresponding to the buried pipeline is determined.

7. A seismic analysis device for buried pipelines in tunnels, characterized in that, include: The relationship curve acquisition module is used to acquire buried pipeline association data, construct a buried pipeline finite element model based on the buried pipeline association data, and apply preset displacement and preset load to the buried pipeline in the buried pipeline finite element model to obtain the relationship curve between pipeline displacement and soil resistance. The seismic model construction module is used to extract soil spring model parameters from the relationship curve based on data fitting technology, obtain pipeline placement parameters, seismic correlation parameters and seismic load parameters, and construct a pipeline seismic model based on the soil spring model parameters, the pipeline placement parameters and the seismic correlation parameters; The seismic analysis module is used to apply seismic loads to the seismic model of the pipeline based on the seismic load parameters, so as to determine the tensile strain and compressive strain in the pipeline axis, and to determine the seismic analysis results corresponding to the buried pipeline based on the tensile strain and the compressive strain.

8. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the seismic analysis method for buried pipelines in tunnels as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the seismic analysis method for buried pipelines in tunnels as described in any one of claims 1-6.

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