Sandwich steel lined underground high pressure gas storage tank and performance simulation analysis method thereof

Abstract

This invention relates to the field of underground high-pressure gas storage structure technology, and particularly to a sandwich-type steel-lined underground high-pressure gas storage tank and its performance simulation analysis method. The gas storage tank includes: a gas storage cavity encased by a composite lining structure; multiple drainage holes surrounding the gas storage cavity; anchor bolts fixed at intervals between each pair of drainage holes; and an inlet / outlet (pipe) at the top of the gas storage cavity, connected to the outside via a traffic / maintenance passage. The method includes collecting gas storage tank parameters to create a three-dimensional geometric model of the gas storage tank; establishing a simulated earthquake database; simulating the effects of earthquakes of different magnitudes on the gas storage tank; and obtaining stress distribution and deformation diagrams of the gas storage tank. The simulation data is compared with the collected data to identify potential problems and adjust the gas storage tank structure. This invention adopts a "sandwich" design, fully utilizing the bearing capacity of the surrounding rock, which can significantly reduce the amount of steel lining used, while simultaneously meeting the goals of withstanding high internal pressure, resisting external pressure, and reducing engineering costs.

Description

Technical Field

[0001] This invention relates to the field of underground high-pressure gas storage structure technology, and in particular to a sandwich steel-lined underground high-pressure gas storage tank and its performance simulation analysis method. Background Technology

[0002] Currently, in industries related to underground high-pressure gas storage (such as compressed air energy storage and compressed natural gas), underground cavern structures used for storing high-pressure gases are generally divided into two types: unlined and lined. Unlined structures are limited in application scenarios due to their typically location in extremely deep underground spaces or the need for high groundwater pressure to achieve pressure balance, and they also have stringent requirements regarding the permeability coefficient of the surrounding rock. Lined structures are the most widely chosen option for underground high-pressure gas storage caverns. They generally use steel plates as the inner lining for sealing, with buffer layers, concrete lining layers, and grouting layers arranged sequentially outwards, forming a multi-layered composite load-bearing structure. This composite load-bearing structure can withstand high internal pressure, but considering the rigidity of the large steel plates themselves and the stability of the steel lining against external pressure during maintenance and venting, a larger thickness is required, resulting in higher costs and issues with resistance to external pressure deformation and stability.

[0003] Existing technology 1, Chinese patent application number 202310268129.X, discloses an underground high-pressure gas storage system, including: an annular chamber, a transverse passage, a vertical shaft, and a duct. The annular chamber is connected end-to-end by ducts to form a gas storage space. The sidewall of the annular chamber includes, from the inside out, a corrugated arch steel lining assembly and a lining structure. One end of the transverse passage is connected to the annular chamber via a duct, and the other end is connected to the bottom of the vertical shaft, the top of the vertical shaft being connected to the ground. The duct is located at the connection between the transverse passage and the annular chamber. Although this reduces the force of gas pressure on the steel lining, significantly reduces the force on the steel lining, greatly reduces the thickness of the steel lining, saves investment, and makes the construction of the steel lining more convenient and efficient, the design of the duct increases the complexity and cost of construction, and makes operation more difficult.

[0004] Prior art two, Chinese patent application number 202410195227.X, discloses a sealing plug structure and construction method for an underground high-pressure gas storage facility. It includes a connecting pipe passing through the sealing plug, a sealing plug located in the excavated area at the end of the gas storage facility, and the sealing plug being a reinforced concrete structure. The outer periphery of the sealing plug is tightly fitted with surrounding rock. A single transmission pipe is located inside the sealing plug, with one end connecting to the inside of the gas storage facility and the other end connecting to the outside, arranged in an L-shape. The end of the transmission pipe located outside the gas storage facility is sequentially connected to a tapered reducer section and a gas filling / draining channel. The transmission pipe is connected to the tapered reducer section via a primary flange, and the tapered reducer section is connected to the gas filling / draining channel via a secondary flange. Although setting up a single transmission pipe inside the concrete sealing plug to handle gas transport and personnel access effectively reduces the internal pipeline space of the sealing plug and lowers the risk of air leakage, resulting in higher safety, it requires a larger thickness, leading to higher costs and issues with resistance to external pressure deformation and stability.

[0005] Prior art three, Chinese patent application number 202410941927.9, discloses a multi-layer sealed cavern wall structure and construction method for an underground high-pressure gas storage facility. It includes an outer layer of surrounding rock, an inner layer of concrete lining for transmitting internal gas pressure to the surrounding rock, an inner layer of elastic transition layer for filling cracks in the concrete lining, and an inner layer of aluminum plate sealing. Adjacent aluminum plate sealing layers are overlapped, with the overlapped areas bonded with sealant and fixed by pre-embedded bolts embedded in the concrete lining. Sealing gaskets are placed between the overlapping areas of the aluminum plate sealing layers and the corresponding elastic transition layers. While separating the sealing layer and the high-pressure bearing layer not only meets the extreme requirements of the gas storage facility's operation, ensuring its reliability and sealing, but also reduces construction time and difficulty, the concrete lining is prone to cracking under high-pressure gas, affecting the durability of the sealing layer.

[0006] Currently, existing technologies 1, 2, and 3 suffer from issues such as the inherent rigidity of large-size steel plates, the need for stable external pressure resistance of the steel lining during maintenance and venting, the required thickness, high cost, and problems with external pressure deformation and stability. Therefore, this invention proposes a sandwich-type steel-lined underground high-pressure gas storage tank and its performance simulation analysis method, which meets the requirements for stability, deformation, and sealing while reducing steel consumption and lowering project costs. Summary of the Invention

[0007] The main objective of this invention is to provide a sandwich steel-lined underground high-pressure gas storage tank and its performance simulation analysis method, so as to solve the problems of rigidity of large-size steel plates, stability of steel lining against external pressure during maintenance and venting, large required thickness, high cost, deformation resistance to external pressure and stability in the existing technology.

[0008] To achieve the above objectives, the present invention provides the following technical solution:

[0009] A performance simulation analysis method for a sandwich-lined underground high-pressure gas storage tank, comprising:

[0010] Real-time parameters of the gas storage tank, such as pressure, temperature, and deformation, are collected and preprocessed. The preprocessed structural data of the gas storage tank is then input into the simulation equipment to create a three-dimensional geometric model of the gas storage tank. The three-dimensional geometric model of the gas storage tank is then discretized into a finite element network.

[0011] Based on historical earthquake data of different magnitudes, a simulated earthquake database of different magnitudes was established and added to the simulation database to simulate the effect of earthquakes of different magnitudes on the gas storage tank, and the stress distribution diagram and deformation diagram of the gas storage tank were obtained.

[0012] By comparing the stress distribution and deformation data obtained from the simulation with the stress distribution and deformation data generated from the real-time parameters of the gas storage tank, potential problems in the underground gas storage tank structure can be identified, and the gas storage tank structure can be adjusted based on these potential problems.

[0013] As a further improvement of the present invention, the process of creating a three-dimensional geometric model of the gas storage tank includes:

[0014] The preprocessed gas storage tank parameters are filtered to obtain the basic geometric element parameters of the gas storage tank; multiple point coordinate pairs are defined for the basic geometric elements, and the boundary of the model is formed by connecting the coordinates.

[0015] By using the boundary blending function, different surfaces can be connected to create a smooth transition at the boundary. The surfaces can be refined by adding new coordinates at each point and calculating their positions to generate a smoother surface.

[0016] The 3D geometric model of the gas storage tank is optimized and rendered, and texture and material attribute parameters are added. After the settings are completed, the model is input into the simulation device.

[0017] As a further improvement of the present invention, the process of discretizing the three-dimensional geometric model of the gas storage tank into a finite element network includes:

[0018] Determine the type, real constants, material properties, and coordinate system of the underground gas storage tank; set a fine mesh density in the area where material properties change; generate a mesh based on the element properties; check the generated mesh; and merge the generated mesh with other parts of the model.

[0019] Based on the material properties of the underground gas storage tank, determine the Young's modulus, Poisson's ratio, and density material parameters of each small unit; based on the construction environment of the underground gas storage tank, define the boundary conditions such as fixed supports and displacement constraints of the model, as well as the applied loads such as gravity, pressure, and temperature.

[0020] Combine the local equations of all small units into a global equation system, and solve the equation system to obtain the model's response. After the solution is completed, plot the corresponding stress distribution diagram and deformation diagram.

[0021] As a further improvement of the present invention, the process of simulating the effect of an earthquake on a gas storage tank includes:

[0022] Collect earthquake records and related parameters of different magnitudes from historical earthquake data, and organize earthquake waveform data; generate corresponding ground motion records according to different magnitudes, organize the generated ground motion records into a database, and apply the ground motion records to the model;

[0023] The dynamic response of underground gas storage tanks under simulated seismic loading was analyzed to determine the stress distribution and deformation of the tanks. The circumferential and vertical stress parameters were obtained. Based on the obtained parameters, the stress distribution and deformation diagrams of the underground gas storage tanks were derived.

[0024] The stress distribution and deformation diagrams of the underground gas storage tanks are obtained and displayed on a visualization device; the calculation results are verified based on historical data, and optimized and adjusted according to the verification results.

[0025] As a further improvement of the present invention, the process of establishing a simulated earthquake database includes:

[0026] Collect data on body wave magnitude, surface wave magnitude, and moment magnitude at different magnitude scales of historical earthquakes, and perform preprocessing such as scanning, image processing, and format conversion on the historical earthquake data;

[0027] A unified earthquake catalog was compiled, containing magnitude and depth information of earthquake events, removing foreshocks and aftershocks, and retaining only mainshock events; earthquake magnitudes were divided into different intervals, and different magnitudes were converted into moment magnitudes;

[0028] Create a distributed database and partitioned tables, and import the processed earthquake data; set up simulated earthquake databases of different magnitudes according to the partitioned intervals, including uncertainty parameters such as focal depth, dip angle, and radiation coefficient.

[0029] As a further improvement of the present invention, the process of analyzing the underground gas storage tank under seismic action includes:

[0030] Based on historical earthquake records, different magnitude ranges of earthquakes in the compiled earthquake catalog were used as input loads and applied to the bottom of the gas storage tank model to simulate the effects of earthquakes of different magnitudes on the underground gas storage tank.

[0031] Modal analysis was used to extract the natural frequencies and mode shapes of the gas storage tank, to evaluate the strain and deformation response of the gas storage tank under earthquakes of different magnitudes, and time history analysis was performed to obtain the detailed stress and deformation response of the gas storage tank.

[0032] Analyze the changes in circumferential stress, axial stress, and radial stress on the gas storage tank, and draw stress distribution diagrams and deformation diagrams of the gas storage tank based on the stress distribution and deformation degree obtained from the simulation.

[0033] As a further improvement of the present invention, the process of drawing the stress distribution diagram and deformation diagram of the gas storage tank includes:

[0034] From the stress distribution and deformation degree on the gas storage tank obtained from the simulation, the stress values ​​and deformation of each part of the gas storage tank are extracted; the extracted data are cleaned and normalized to remove outliers and noise.

[0035] Based on the geometry of the gas storage tank and simulation results, the drawing parameters are determined; a color mapping scheme is selected based on the stress value distribution range; a legend is set to specify the stress value range corresponding to each color; coordinate axes and mesh are set according to the geometry of the gas storage tank; the normalized stress data is mapped onto the geometric model of the gas storage tank to generate a stress distribution cloud map; the 3D geometric model of the gas storage tank is imported into the drawing software, and the normalized stress data is mapped to each node or element in the geometric model, and the stress values ​​are visualized using the color mapping scheme; a stress distribution cloud map is generated through the drawing function.

[0036] The deformation data is processed to calculate the deformation of each part of the gas storage tank; based on the simulation results, the deformation of each part of the gas storage tank, including displacement and strain, is calculated; the deformation data is mapped onto the geometric model of the gas storage tank to generate a deformation cloud map, which shows the deformation of the gas storage tank under different earthquake magnitudes; the normalized deformation data is mapped to each node or element in the geometric model, and the deformation is visualized using a color mapping scheme; the deformation cloud map is generated through the drawing function.

[0037] As a further improvement to the present invention, the process of identifying potential problems with underground gas storage tank structures includes:

[0038] It receives stress distribution maps and deformation maps from simulation models and real-time sensors, extracts key features, stress concentration areas, and deformation patterns from the images, compares the similarities and differences between simulation data and real-time data, and outputs comparison results, including similarity scores, difference area markings, and potential problem identification.

[0039] The system uses a convolutional neural network to extract key features from images, generate feature vectors, and perform dimensionality reduction on the feature vectors. It identifies and matches key points in simulation and real-time data, calculates similarity scores between the two sets of data, and visually displays the differences between simulation and real-time data by marking the differences in regions.

[0040] An autoencoder is used to identify stress concentration areas and deformation anomalies, classify the anomaly areas, and mark potential problem areas.

[0041] To achieve the above objectives, the present invention provides the following technical solution:

[0042] A sandwich-lined underground high-pressure gas storage tank device is provided, which is applied to the performance simulation analysis method of the sandwich-lined underground high-pressure gas storage tank. The sandwich-lined underground high-pressure gas storage tank device is provided with a gas storage cavity; the outside of the gas storage cavity is wrapped by a composite lining structure, and there are multiple drainage holes around the gas storage cavity. Anchor rods are fixed at the intervals between each pair of drainage holes. An inlet / outlet is provided at the top of the gas storage cavity, and the inlet / outlet is connected to the outside through a traffic / maintenance passage; the entire gas storage tank device is surrounded by surrounding rock.

[0043] As a further improvement of the present invention, the composite lining structure includes: an air storage cavity, a drainage hole, an anchor bolt, surrounding rock, a concrete inner shell, a steel lining, a concrete lining outer shell, a drainage pipe, backfill concrete, and shotcrete.

[0044] The structure consists of, from the inside out, a concrete inner shell, a steel lining, a concrete-lined outer shell, a drainage pipe, backfill concrete, shotcrete, and the outermost surrounding rock; the drainage holes are connected to the drainage pipes, and the anchor bolts are connected to the steel lining.

[0045] This invention collects and preprocesses real-time parameters of the gas storage tank, ensuring data accuracy and reliability. The preprocessed data is input into a simulation device to create a three-dimensional geometric model of the gas storage tank, which is then discretized into a finite element network, providing an accurate mathematical model. A simulated earthquake database of different magnitudes is established and added to the simulation database, providing rich data support for simulating the effects of earthquakes of different magnitudes on the gas storage tank. Through simulation, stress distribution and deformation diagrams of the gas storage tank under seismic loading are obtained, providing important basis for assessing the safety of the gas storage tank. Comparing the simulation results with the real-time collected data reveals potential problems in the gas storage tank structure, such as stress concentration and abnormal deformation. Adjusting the gas storage tank structure based on these potential problems can improve its seismic performance and safety. Attached Figure Description

[0046] Figure 1 This is a schematic flowchart of one embodiment of the performance simulation analysis method for sandwich steel-lined underground high-pressure gas storage tank of the present invention.

[0047] Figure 2 This is a schematic diagram of the steps for creating a three-dimensional geometric model of a sandwich steel-lined underground high-pressure gas storage tank according to an embodiment of the performance simulation analysis method for the underground high-pressure gas storage tank of the present invention.

[0048] Figure 3 This is a schematic diagram illustrating the steps of discretizing the three-dimensional geometric model of the gas storage tank into a finite element network, as an embodiment of the performance simulation and analysis method for the sandwich steel-lined underground high-pressure gas storage tank of the present invention.

[0049] Figure 4 This is a schematic flowchart illustrating the steps of simulating the effect of an earthquake on a gas storage tank, according to an embodiment of the performance simulation analysis method for a sandwich steel-lined underground high-pressure gas storage tank of the present invention.

[0050] Figure 5 This is a schematic diagram of the steps for establishing a simulated seismic database in an embodiment of the performance simulation analysis method for sandwich steel-lined underground high-pressure gas storage tank of the present invention.

[0051] Figure 6 This is a schematic diagram of the steps for analyzing the underground gas storage tank under seismic loading, according to an embodiment of the performance simulation analysis method for sandwich steel-lined underground high-pressure gas storage tank of the present invention.

[0052] Figure 7 This is a schematic diagram illustrating the steps of a performance simulation analysis method for a sandwich-lined underground high-pressure gas storage tank according to the present invention to identify potential problems in the underground gas storage tank structure.

[0053] Figure 8 This is a schematic diagram of the connection relationship of one embodiment of the sandwich steel-lined underground high-pressure gas storage tank device of the present invention;

[0054] Figure 9 This is a schematic diagram of the connection relationship of the composite lining structure in one embodiment of the sandwich steel-lined underground high-pressure gas storage tank device of the present invention;

[0055] Figure 10 This is a schematic diagram of the structure of an embodiment of the electronic device of the present invention;

[0056] Figure 11 This is a schematic diagram of the structure of one embodiment of the storage medium of the present invention. Detailed Implementation

[0057] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0058] The terms "first," "second," and "third" used in this invention are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified. All directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of this invention are only used to explain the relative positional relationships and movements between components in a specific orientation (as shown in the figures). If the specific orientation changes, the directional indications also change accordingly. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0059] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0060] like Figure 1 As shown, this embodiment also provides an example of a performance simulation analysis method for a sandwich-lined underground high-pressure gas storage tank. In this embodiment, the performance simulation analysis method for the sandwich-lined underground high-pressure gas storage tank specifically includes the following steps:

[0061] Step S1: Collect real-time parameters of the gas storage tank, such as pressure, temperature, and deformation, and preprocess them; input the preprocessed gas storage tank structural data into the simulation equipment to create a three-dimensional geometric model of the gas storage tank, and discretize the three-dimensional geometric model of the gas storage tank into a finite element network;

[0062] Step S2: Based on historical earthquake data of different magnitudes, establish a simulated earthquake database of different magnitudes, and add the database to the simulation database to simulate the effect of earthquakes of different magnitudes on the gas storage tank, and obtain the stress distribution diagram and deformation diagram of the gas storage tank.

[0063] Step S3: Compare the stress distribution map and deformation map data obtained from the simulation with the stress distribution map and deformation map data generated from the real-time parameters of the gas storage tank to obtain potential problems in the underground gas storage tank structure, and adjust the gas storage tank structure according to the potential problems.

[0064] Preferably, in this embodiment, real-time parameters of the gas storage tank are collected and preprocessed to ensure the accuracy and reliability of the data. The preprocessed data is input into the simulation equipment to create a three-dimensional geometric model of the gas storage tank, which is then discretized into a finite element network, providing an accurate mathematical model. A simulated earthquake database of different magnitudes is established and added to the simulation database, providing rich data support for simulating the effects of earthquakes of different magnitudes on the gas storage tank. Through simulation, stress distribution and deformation diagrams of the gas storage tank under seismic action are obtained, providing an important basis for assessing the safety of the gas storage tank. By comparing the simulation results with the real-time collected data, potential problems in the gas storage tank structure can be identified, such as stress concentration and abnormal deformation. Adjusting the gas storage tank structure according to potential problems can improve its seismic performance and safety.

[0065] In summary, this embodiment achieves an accurate description of the actual operating state of the gas storage tank. The discretization of the finite element network makes the simulation more accurate and can more realistically reflect the behavior of the gas storage tank under seismic action. It also enables the simulation to cover a wider range of seismic scenarios, improving the accuracy and comprehensiveness of the assessment. The generation of stress distribution diagrams and deformation diagrams provides key data for comparative analysis. Through comparative analysis, an effective assessment of the structural safety of the gas storage tank is achieved, providing a scientific basis for structural optimization. The adjusted gas storage tank structure can better adapt to extreme environments such as earthquakes, ensuring the safe operation of the gas storage facility.

[0066] Furthermore, such as Figure 2 As shown, the process of creating the three-dimensional geometric model of the gas storage tank in step S1 specifically includes the following steps:

[0067] Step S11: Filter the preprocessed gas storage tank parameters to obtain the basic geometric element parameters of the gas storage tank; define multiple point coordinate pairs for the basic geometric elements, and form the boundary of the model by connecting the coordinates;

[0068] Step S12: Use the boundary blending function to connect different surfaces and make them transition smoothly at the boundary. Refine the surface by adding new coordinates at each point coordinate and calculating its position to generate a smoother surface.

[0069] Step S13: Optimize and render the 3D geometric model of the gas storage tank, add parameters such as texture and material properties, and input them into the simulation device after setting.

[0070] Preferably, in this embodiment, the preprocessed gas tank parameters are screened to obtain the basic geometric element parameters of the gas tank, and multiple point coordinate pairs are defined to connect and form the boundary of the model; different surfaces are connected using the boundary blending function to make them transition smoothly at the boundary, and a smoother surface is generated by refining the surface; the three-dimensional geometric model of the gas tank is optimized and rendered, and parameters such as texture and material properties are added and input into the simulation device.

[0071] In summary, this embodiment initially outlines the contour of the gas storage tank by selecting parameters and defining coordinate pairs, ensuring the accuracy and realism of the model. Smoothing transitions and refining surfaces can eliminate abruptness and unevenness in the model, making it closer to the appearance of the actual gas storage tank and improving the model's precision and realism. Optimization and rendering make the model more realistic, and adding textures and material properties can simulate the physical properties of the gas storage tank. Inputting the model into a simulation device allows for subsequent simulation analysis and testing.

[0072] Furthermore, such as Figure 3 As shown, the process of discretizing the three-dimensional geometric model of the gas storage tank into a finite element network in step S1 specifically includes the following steps:

[0073] Step S14: Determine the type, real constants, material properties, and coordinate system of the underground gas storage tank; set a fine mesh density in the area where material properties change; generate a mesh based on the element properties; check the mesh after generation; and merge the generated mesh with other parts of the model.

[0074] Step S15: Based on the material properties of the underground gas storage tank, determine the material parameters such as Young's modulus, Poisson's ratio, and density of each small unit; based on the construction environment of the underground gas storage tank, define the boundary conditions such as fixed supports and displacement constraints of the model, as well as the applied loads such as gravity, pressure, and temperature.

[0075] Step S16: Combine the local equations of all small elements into a global equation set, and solve the equation set to obtain the model response. After the solution is completed, plot the corresponding stress distribution diagram and deformation diagram.

[0076] Preferably, in this embodiment, the type, real constants, material properties, and coordinate system of the underground gas storage tank are determined. A fine mesh density is set in areas where material properties change to ensure the accuracy of simulation results in critical areas. Mesh generation is performed based on element properties, and the mesh is checked to ensure its quality and applicability. The generated mesh is merged with other parts of the model to form a complete simulation model. Material parameters are determined based on the properties of the building materials, and the boundary conditions and loads of the model are defined, determining the key inputs and responses of the model. The local equations of all small elements are combined into a global equation set. After solving the equation set, stress distribution diagrams and deformation diagrams are plotted to visually display the simulation results.

[0077] In summary, this embodiment provides an accurate and complete model foundation for simulation analysis, ensuring the reliability of the simulation results. The fine mesh setting improves the simulation accuracy, especially in critical areas where material properties change. It ensures that the simulation analysis accurately reflects the behavior of the underground gas storage tank in the actual environment. Precise material parameters and boundary conditions enhance the accuracy of the simulation results. By solving the overall equation set, the stress distribution and deformation of the underground gas storage tank under specific conditions are obtained. The stress distribution diagram and deformation diagram provide intuitive simulation results, facilitating the analysis and evaluation of the safety and performance of the underground gas storage tank.

[0078] Furthermore, such as Figure 4 As shown, the process of simulating the effect of an earthquake on a gas storage tank in step S2 specifically includes the following steps:

[0079] Step S21: Collect earthquake records and related parameters of different magnitudes from historical earthquake data, and organize earthquake waveform data; generate corresponding ground motion records according to different magnitudes, organize the generated ground motion records into a database, and apply the ground motion records to the model;

[0080] Step S22: Simulate the dynamic response of the underground gas storage tank under seismic loading, analyze the stress distribution and deformation of the underground gas storage tank under seismic loading, and obtain parameters such as circumferential stress and vertical stress; based on the obtained parameters, derive the stress distribution diagram and deformation diagram of the underground gas storage tank.

[0081] Step S23: Obtain the stress distribution diagram and deformation diagram of the underground gas storage tank and display them on the visualization device; verify the calculation results based on historical data, and optimize and adjust them based on the verification results.

[0082] Preferably, this embodiment collects historical earthquake data, organizes earthquake waveform data, generates ground motion records, and applies them to the model, ensuring the accuracy and comprehensiveness of the model input data. By organizing earthquake waveform data and generating ground motion records, the impact of different magnitudes on underground gas storage tanks can be simulated, improving the accuracy and practicality of the simulation. Through simulation, the specific stress distribution and deformation of underground gas storage tanks under earthquake action can be obtained, providing key data for evaluating their seismic performance. Visualization makes the results more intuitive and easy to understand, facilitating decision-makers and engineers to quickly understand the problem. Verification with historical data ensures the accuracy and reliability of the simulation results, while optimization and adjustments further improve the accuracy of the simulation.

[0083] In summary, this embodiment makes the simulation closer to real-world conditions, providing strong data support for the seismic design and safety assessment of underground gas storage tanks; it helps to identify potential structural weaknesses, providing guidance for improving design and strengthening structural safety; it improves the scientific nature and efficiency of decision-making, and provides strong protection for the safe operation of underground gas storage tanks.

[0084] Furthermore, such as Figure 5 As shown, the process of establishing the simulated seismic database in step S21 specifically includes the following steps:

[0085] Step S211: Collect data on different magnitude scales of historical earthquakes, such as body wave magnitude, surface wave magnitude, and moment magnitude; perform preprocessing on the historical earthquake data, including scanning, image processing, and format conversion.

[0086] Step S212: Compile a unified earthquake catalog containing information such as magnitude and depth of earthquake events, remove foreshocks and aftershocks, and retain only mainshock events; divide earthquake magnitudes into different intervals and convert different magnitudes into moment magnitudes;

[0087] Step S213: Create a distributed database and partition table, and import the processed earthquake data; set up simulated earthquake databases of different magnitudes according to the partitioned intervals, including uncertain parameters such as focal depth, dip angle and radiation coefficient.

[0088] Preferably, this embodiment collects and preprocesses historical earthquake data at various magnitude scales. Through scanning, image processing, and format conversion, the data is made more standardized and easier to process. A unified earthquake catalog is compiled, removing foreshocks and aftershocks and retaining only the mainshock event. Earthquake magnitudes are uniformly converted into moment magnitudes to facilitate earthquake data analysis. A distributed database and partitioned tables are created to effectively manage the processed earthquake data. A simulated earthquake database is set up, comprehensively considering uncertain parameters such as focal depth, dip angle, and radiation coefficient.

[0089] In summary, this embodiment provides a reliable data foundation for the analysis and research of the impact of earthquakes on gas storage tanks, ensuring the accuracy and consistency of the data and helping to improve the accuracy and reliability of the simulation of the effects of earthquakes on underground gas storage tanks. By unifying the earthquake catalog and magnitude conversion, the complexity of earthquake data is simplified, making the comparison and analysis of earthquake events more intuitive and accurate, which helps to reveal the laws and characteristics of seismic activity. The management efficiency and utilization rate of earthquake data are improved, making the storage, query and analysis of earthquake data more efficient. The establishment of a simulated earthquake database helps to conduct earthquake disaster risk assessment and emergency plan formulation, improving the efficiency and accuracy of earthquake response.

[0090] Furthermore, such as Figure 6As shown, the process of analyzing the underground gas storage tank under seismic loading in step S22 specifically includes the following steps:

[0091] Step S221: Based on historical earthquake records, different magnitude ranges of earthquakes in the compiled earthquake catalog are used as input loads in sequence and applied to the bottom of the gas storage tank model to simulate the effects of earthquakes of different magnitudes on the underground gas storage tank.

[0092] Step S222: Use modal analysis to extract the natural frequencies and mode shapes of the gas storage tank, evaluate the strain and deformation response of the gas storage tank under earthquakes of different magnitudes, and perform time history analysis to obtain the detailed stress and deformation response of the gas storage tank.

[0093] Step S223: Analyze the changes in circumferential stress, axial stress and radial stress on the gas storage tank, and draw the stress distribution diagram and deformation diagram of the gas storage tank based on the stress distribution and deformation degree obtained from the simulation.

[0094] Preferably, this embodiment can comprehensively evaluate the seismic performance of the gas storage tank under different magnitudes by simulating the effects of earthquakes of different magnitudes; by using seismic loads as input, the dynamic impact of earthquakes on the gas storage tank can be accurately simulated; modal analysis helps to understand the inherent vibration characteristics of the gas storage tank, while time history analysis can accurately simulate the dynamic response of the gas storage tank under seismic action, including strain, deformation, stress, and vibration; by analyzing the stress changes of the gas storage tank in different directions in detail and drawing intuitive stress distribution and deformation diagrams, the stress state and deformation of the gas storage tank under seismic action can be clearly understood.

[0095] In summary, this embodiment provides a scientific basis for the seismic design and safety assessment of gas storage tanks, helps to identify potential structural weaknesses, and provides guidance for design improvement; it provides detailed data support for the seismic performance assessment of gas storage tanks, helps to identify potential problems of the structure under seismic loading, and provides guidance for structural improvement and optimization; it provides intuitive visual support for the safety assessment of gas storage tanks, helps engineers quickly identify and solve potential structural problems, and also provides guidance for the maintenance and upkeep of gas storage tanks.

[0096] Furthermore, the process of drawing the stress distribution diagram and deformation diagram of the gas storage tank in step S223 specifically includes the following steps:

[0097] Step S2231: Extract the stress values ​​and deformation of each part of the gas storage tank from the stress distribution and deformation degree obtained from the simulation; clean and normalize the extracted data to remove outliers and noise.

[0098] Step S2232: Based on the geometry of the gas storage tank and simulation results, determine the drawing parameters; select a color mapping scheme based on the stress value distribution range; set a legend to clarify the stress value range corresponding to each color; set coordinate axes and mesh based on the geometry of the gas storage tank; map the normalized stress data onto the geometric model of the gas storage tank to generate a stress distribution cloud map; import the 3D geometric model of the gas storage tank into the drawing software, associate the normalized stress data with each node or element in the geometric model, and visualize the stress values ​​using the color mapping scheme; generate a stress distribution cloud map through the drawing function.

[0099] Step S2233: Process the deformation data and calculate the deformation of each part of the gas storage tank; calculate the deformation of each part of the gas storage tank, including displacement and strain, based on the simulation results; map the deformation data onto the geometric model of the gas storage tank to generate a deformation cloud map, showing the deformation of the gas storage tank under different earthquake magnitudes; associate the normalized deformation data with each node or element in the geometric model and visualize the deformation using a color mapping scheme; generate a deformation cloud map using the drawing function.

[0100] Preferably, step S2231 of this embodiment, data extraction and preprocessing, accurately extracts stress and deformation data of various parts of the gas storage tank from the simulation results to ensure data integrity and accuracy; removes outliers and noise to ensure data reliability; and normalizes the data to make it comparable, facilitating subsequent analysis and visualization. The significance of this is: ensuring the reliability of the basic data for analysis and avoiding erroneous conclusions due to data problems; normalization allows data from different parts to be compared on the same scale, facilitating a comprehensive evaluation of the gas storage tank's performance. Step S2232, generating the stress distribution map, involves reasonably setting drawing parameters based on the gas storage tank's geometry and simulation results to ensure the accuracy and readability of the graphics; selecting a suitable color mapping scheme so that the distribution of stress values ​​can be intuitively displayed through color changes; and mapping the normalized stress data onto the geometric model of the gas storage tank to generate a stress distribution cloud map, intuitively displaying the stress distribution of various parts of the gas storage tank. Significance Achieved: Through stress distribution cloud maps, engineers can intuitively see the stress concentration areas in various parts of the gas storage tank, facilitating the identification of potential structural weaknesses; it provides an intuitive reference for the design and optimization of the gas storage tank, helping engineers consider the impact of stress distribution during the design phase, thereby improving the safety and reliability of the gas storage tank. Step S2233: Generation of Deformation Diagram. Calculate the deformation of various parts of the gas storage tank, including displacement and strain, ensuring the accuracy of the deformation data; map the deformation data onto the geometric model of the gas storage tank to generate a deformation cloud map, intuitively displaying the deformation of the gas storage tank under different earthquake magnitudes. Significance Achieved: Through deformation cloud maps, engineers can intuitively see the deformation of the gas storage tank under different conditions, assess its seismic performance and structural stability; based on the deformation analysis results, preventive measures can be taken in advance to avoid structural damage or safety accidents caused by excessive deformation.

[0101] In summary, this embodiment not only provides a comprehensive understanding of the stress and deformation of the gas storage tank, but also offers a scientific basis for its design, optimization, and maintenance, ensuring the safety and reliability of the gas storage tank under various operating conditions. This not only improves the efficiency of engineering design but also significantly enhances the practicality and safety of the gas storage tank.

[0102] Furthermore, such as Figure 7 As shown, the process of identifying potential problems with the underground gas storage tank structure in step S3 specifically includes the following steps:

[0103] Step S31: Receive stress distribution map and deformation map data from simulation model and real-time sensor, extract key features from the images, such as stress concentration areas and deformation patterns; compare the similarity and differences between simulation data and real-time data; output comparison results, including similarity score, difference area marking and potential problem identification;

[0104] Step S32: Use a convolutional neural network to extract key features from the image, generate feature vectors, and perform dimensionality reduction on the feature vectors; identify and match key points in simulation and real-time data, calculate the similarity score between the two sets of data; and visually display the differences between simulation and real-time data by marking the difference regions.

[0105] Examples of equations:

[0106]

[0107] In the formula, S(D) s D r ) represents simulation data D s and real-time data D r Similarity score between them, D s D represents the simulation dataset, specifically the stress distribution and deformation maps generated from the simulation model. r This represents a real-time dataset, consisting of stress distribution and deformation maps acquired through real-time sensors. N represents the total number of key points in the dataset, and D... s,i D represents the feature value of the i-th keypoint in the simulation dataset. r,i Let min(D) represent the feature value of the i-th keypoint in the real-time dataset. s,i D r,i ) represents the minimum eigenvalue of the i-th keypoint in both simulation and real-time data, max(D s,i D r,i ) represents the maximum value of the feature value of the i-th key point in the simulation data and the real-time data;

[0108] Step S33: Use an autoencoder to identify stress concentration areas and deformation anomalies, classify the anomaly areas, and mark potential problem areas;

[0109] The expression for identifying stress concentration regions and deformation anomalies is as follows:

[0110]

[0111] In the formula, E(D) r ) represents real-time data D r The anomaly score indicates the degree of stress concentration areas and deformation anomalies, D. r This represents a real-time dataset, consisting of stress distribution and deformation maps acquired through real-time sensors. N represents the total number of key points in the dataset, and D... r,i Let |D| represent the feature value of the i-th keypoint in the real-time dataset, μ represent the mean of the feature values ​​of all keypoints in the real-time dataset, σ represent the standard deviation of the feature values ​​of all keypoints in the real-time dataset, and |D| represent the feature value of the i-th keypoint in the real-time dataset. r,i-μ| represents the absolute difference between the feature value and the mean of the i-th keypoint in the real-time dataset, and β represents the weighting coefficient used to adjust for the influence of the second derivative term. Let represent the second derivative of the eigenvalue of the i-th keypoint in the real-time dataset, representing the curvature change at that point; This represents the degree of deviation between the feature value of the i-th key point and the mean; the greater the deviation, the higher the anomaly score. The curvature change at the i-th key point is represented by the curvature change. The greater the curvature change, the higher the anomaly score. The weighting coefficient β is used to adjust the influence of the second derivative term. This can more accurately quantify anomalies in real-time data, thereby identifying stress concentration areas and deformation anomalies. Areas with high anomaly scores usually indicate potential problem areas that require further analysis and processing.

[0112] Preferably, step S31 of this embodiment, data reception and preliminary comparison, can simultaneously receive stress distribution maps and deformation maps from the simulation model and real-time sensors, ensuring the comprehensiveness and real-time nature of the data. Through image processing technology, key features in the images, such as stress concentration areas and deformation patterns, are extracted to provide basic data for subsequent analysis. The similarities and differences between the simulation data and real-time data are compared, and preliminary comparison results are output, including similarity scores, difference area markings, and potential problem identification. The significance of this is: ensuring the system can process both simulation and real-time data simultaneously, providing comprehensive data support; enabling rapid response and timely detection of potential problems through real-time data reception and preliminary comparison; and providing a solid foundation for subsequent in-depth analysis, ensuring the accuracy and reliability of the analysis. Step S32: Feature Extraction and Depth Comparison. A CNN is used to extract key features from the image, generating feature vectors to improve the accuracy and efficiency of feature extraction. Dimensionality reduction is applied to the feature vectors to reduce computational complexity and improve system efficiency. Key points in simulation and real-time data are identified and matched to ensure accurate comparison. Similarity scores, such as Euclidean distance and cosine similarity, are calculated between the two sets of data to quantify the similarity and differences. Difference region marking visually displays the differences between simulation and real-time data, facilitating user understanding and analysis. Significance achieved: Feature vectors extracted by CNN ensure accurate feature extraction and improve the precision of comparative analysis; dimensionality reduction reduces computational complexity, improves system efficiency, and ensures the system can quickly process large amounts of data; difference region marking allows users to visually see the differences between simulation and real-time data, facilitating rapid problem location; similarity scoring provides quantitative analysis results, facilitating quantitative analysis and decision-making. Step S33: Anomaly Detection and Problem Identification. An autoencoder is used to identify stress concentration areas and deformation anomalies, improving the accuracy of anomaly detection; anomaly regions are classified, and potential problem areas are marked, facilitating rapid user location and handling. Significance achieved: The self-encoder can accurately identify stress concentration areas and deformation anomalies, improving the accuracy of problem identification; through anomaly classification and marking, users can quickly locate potential problem areas, facilitating timely measures; by identifying potential problems in advance, the system can help users perform preventative maintenance and reduce the risk of accidents.

[0113] In summary, this embodiment can comprehensively, accurately, and efficiently identify potential problems in underground gas storage tank structures, and present the results in an intuitive and quantitative manner, helping users quickly locate and resolve problems, thereby improving the safety and reliability of the system. Each step together constitutes a complete problem identification and analysis process.

[0114] like Figure 8As shown, this embodiment provides an example of a sandwich steel-lined underground high-pressure gas storage tank device. In this embodiment, the sandwich steel-lined underground high-pressure gas storage tank device includes a gas storage cavity 1, a composite lining structure 2, a drainage hole 3, an anchor bolt 4, an inlet / outlet (pipe) 5, a traffic / maintenance passage 6, and surrounding rock 7.

[0115] The gas storage cavity 1 is surrounded by a composite lining structure 2. There are multiple drainage holes 3 around the gas storage cavity 1, and anchor rods 4 are fixed in the intervals between each pair of drainage holes 3. An inlet / outlet (pipe) 5 is provided at the top of the gas storage cavity 1. The inlet / outlet (pipe) 5 is connected to the outside through a traffic / maintenance channel 6. The entire gas storage tank device is surrounded by surrounding rock 7.

[0116] Preferably, the sandwich steel-lined underground high-pressure gas storage tank proposed in this embodiment has the following main structure from the inside out: a gas storage cavity 1, a concrete-lined inner shell, a steel-lined "sandwich" sealing layer, a concrete-lined outer shell (including a drainage and pressure reduction system), a backfill concrete layer, and a support system layer (anchor bolts 4, reinforcing bars, and shotcrete, etc.).

[0117] In summary, this embodiment effectively utilizes the bearing capacity of the surrounding rock 7 by employing a tight combination of a "sandwich" steel lining and a concrete-lined inner and outer shell. This allows the device to withstand high internal pressure while maintaining stability, reducing the amount of steel lining used and lowering project costs. The concrete-lined inner shell provides internal support for the steel lining under external pressure, enhancing the stability of the entire gas storage tank structure and enabling the gas storage tank to better adapt to the underground environment, reducing structural deformation caused by changes in external pressure. The sealant in the "sandwich" sealing layer of the steel lining effectively prevents gas leakage and improves the sealing performance of the gas storage tank. The inlet / outlet (pipe) is connected to the outside via traffic / maintenance channels, making maintenance and repair of the gas storage tank more convenient, improving its reliability and service life, and reducing malfunctions and downtime caused by improper maintenance. By reducing material usage and lowering project costs, it contributes to achieving environmental protection and sustainability goals. At the same time, the design of the drainage hole 3 and the drainage and pressure reduction system effectively prevents groundwater from eroding and damaging the gas storage tank, protecting groundwater resources.

[0118] Furthermore, such as Figure 9 As shown, in this embodiment of the sandwich steel-lined underground high-pressure gas storage tank device, the composite lining structure includes: gas storage cavity 1, drainage hole 3, anchor bolt 4 (connected to the steel lining), surrounding rock 7, concrete inner shell 8, steel lining (sealing layer) 9, concrete lining outer shell 10, drainage pipe (connected to drainage hole 3) 11, backfill concrete 12 and shotcrete 13.

[0119] The structure consists of, from the inside out, a concrete inner shell 8, a steel lining (sealing layer) 9, a concrete-lined outer shell 10, a drainage pipe 11, backfill concrete 12, shotcrete 13, and the outermost surrounding rock 7; the drainage hole 3 is connected to the drainage pipe 11, and the anchor bolt 4 is connected to the steel lining (sealing layer) 9.

[0120] Preferably, in this embodiment, the steel lining adopts a "sandwich" design, which is in close contact with the concrete inner shell 8 and the concrete lining outer shell 10. This not only satisfies the sealing function but also transfers the high internal pressure load to the external surrounding rock 7, making full use of the bearing capacity of the surrounding rock 7. At the same time, the concrete inner shell 8 can provide internal support for the steel lining when resisting external pressure, which can significantly reduce the amount of steel lining 9 used. The thickness can be reduced to about half that of the steel plate lining sealing type, while simultaneously meeting the goals of bearing high internal pressure, resisting external pressure stability, and reducing project costs.

[0121] In summary, this embodiment, through the use of a composite lining structure 2, particularly the "sandwich" steel lining design, enables the device to efficiently store high-pressure gas. The steel lining 9, acting as a sealing layer, ensures the tightness of the gas storage cavity 1, preventing gas leakage and thus improving the safety and efficiency of gas storage. The "sandwich" steel lining, in close contact with the concrete inner shell 8 and outer shell, effectively transfers the high internal pressure load to the surrounding rock 7. It fully utilizes the bearing capacity of the surrounding rock 7, reducing the burden on the gas storage tank itself and improving the stability and safety of the overall structure. By providing internal support to the steel lining under external pressure through the concrete inner shell 8, the amount of steel lining 9 can be significantly reduced. The combined use of the concrete inner shell 8 and outer shell not only provides additional support for the steel lining 9 but also enhances the overall structure's resistance to external pressure. The design of the drainage hole 3 and drainage pipe 11 helps to remove accumulated water inside the gas storage tank, keeping the internal environment dry and clean. By rationally utilizing the bearing capacity of the surrounding rock 7 and reducing material usage, the project cost is reduced, as is the consumption of natural resources and environmental damage.

[0122] like Figure 10 As shown, this embodiment provides an embodiment of an electronic device. In this embodiment, the electronic device 14 includes a processor 141 and a memory 142 coupled to the processor 141.

[0123] The memory 142 stores program instructions for implementing the performance simulation analysis method of the sandwich steel-lined underground high-pressure gas storage tank in any of the above embodiments.

[0124] The processor 141 is used to execute program instructions stored in the memory 142 to lay out the performance simulation analysis method for sandwich steel-lined underground high-pressure gas storage tanks.

[0125] The processor 141 can also be referred to as a CPU (Central Processing Unit). The processor 141 may be an integrated circuit chip with signal processing capabilities. The processor 141 can also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. A general-purpose processor can be a microprocessor or any conventional processor.

[0126] Furthermore, Figure 11 This is a schematic diagram of the structure of a storage medium according to an embodiment of this application. The storage medium 15 of this embodiment stores program instructions 151 capable of implementing all the methods described above. These program instructions 151 can be stored in the storage medium in the form of a software product, including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. 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, or terminal devices such as computers, servers, mobile phones, and tablets.

[0127] In the several embodiments provided by this invention, it should be understood that the disclosed systems, 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 system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between apparatuses or units through some interfaces, and may be electrical, mechanical, or other forms.

[0128] Furthermore, 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. The integrated units described above can be implemented in hardware or as software functional units. The above are merely embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

[0129] The specific embodiments of the invention have been described in detail above, but these are merely examples, and the invention is not limited to the specific embodiments described above. For those skilled in the art, any equivalent modifications or substitutions to the invention are also within the scope of this invention. Therefore, all equivalent transformations, modifications, and improvements made without departing from the spirit and principles of this invention should be included within the scope of this invention.

Claims

1. A performance simulation analysis method for a sandwich-lined underground high-pressure gas storage tank, characterized in that, The performance simulation analysis method for the sandwich-lined underground high-pressure gas storage tank includes: Real-time parameters of the gas storage tank, including pressure, temperature, and deformation, are collected and preprocessed. The preprocessed structural data of the gas storage tank is then input into the simulation equipment to create a three-dimensional geometric model of the gas storage tank. The three-dimensional geometric model of the gas storage tank is then discretized into a finite element network. Based on historical earthquake data of different magnitudes, a simulated earthquake database of different magnitudes was established and added to the simulation database to simulate the effect of earthquakes of different magnitudes on the gas storage tank, and the stress distribution diagram and deformation diagram of the gas storage tank were obtained. By comparing the stress distribution map and deformation map data obtained from the simulation with the stress distribution map and deformation map data generated from the real-time parameters of the gas storage tank, potential problems of the underground gas storage tank structure can be obtained, and the gas storage tank structure can be adjusted according to the potential problems of the structure. The process of simulating the effect of an earthquake on a gas storage tank includes: Collect earthquake records and related parameters of different magnitudes from historical earthquake data, and organize earthquake waveform data; generate corresponding ground motion records according to different magnitudes, organize the generated ground motion records into a database, and apply the ground motion records to the model; The dynamic response of underground gas storage tanks under simulated seismic loading was analyzed to determine the stress distribution and deformation of the tanks. The circumferential and vertical stress parameters were obtained. Based on the obtained parameters, the stress distribution and deformation diagrams of the underground gas storage tanks were derived. The stress distribution and deformation diagrams of the underground gas storage tanks are obtained and displayed on a visualization device; the calculation results are verified based on historical data, and optimized and adjusted according to the verification results; Analyze the changes in circumferential stress, axial stress, and radial stress on the gas storage tank, and draw stress distribution diagrams and deformation diagrams of the gas storage tank based on the stress distribution and deformation degree obtained from the simulation. The process of drawing stress distribution and deformation diagrams for gas storage tanks includes: From the stress distribution and deformation degree on the gas storage tank obtained from the simulation, the stress values ​​and deformation of each part of the gas storage tank are extracted; the extracted data are cleaned and normalized to remove outliers and noise. Based on the geometry of the gas storage tank and simulation results, the drawing parameters are determined; a color mapping scheme is selected based on the stress value distribution range; a legend is set to specify the stress value range corresponding to each color; coordinate axes and mesh are set according to the geometry of the gas storage tank; the normalized stress data is mapped onto the geometric model of the gas storage tank to generate a stress distribution cloud map; the 3D geometric model of the gas storage tank is imported into the drawing software, and the normalized stress data is mapped to each node or element in the geometric model, and the stress values ​​are visualized using the color mapping scheme; a stress distribution cloud map is generated through the drawing function. The deformation data is processed to calculate the deformation of each part of the gas storage tank; based on the simulation results, the deformation of each part of the gas storage tank, including displacement and strain, is calculated; the deformation data is mapped onto the geometric model of the gas storage tank to generate a deformation cloud map, which shows the deformation of the gas storage tank under different earthquake magnitudes; the normalized deformation data is mapped to each node or element in the geometric model, and the deformation is visualized using a color mapping scheme; the deformation cloud map is generated through the drawing function.

2. The performance simulation analysis method for sandwich steel-lined underground high-pressure gas storage tank according to claim 1, characterized in that, The process of creating a 3D geometric model of a gas storage tank includes: The preprocessed gas storage tank parameters are filtered to obtain the basic geometric element parameters of the gas storage tank; multiple point coordinate pairs are defined for the basic geometric elements, and the boundary of the model is formed by connecting the coordinates. By using the boundary blending function, different surfaces can be connected to create a smooth transition at the boundary. The surfaces can be refined by adding new coordinates at each point and calculating their positions to generate a smoother surface. The 3D geometric model of the gas storage tank is optimized and rendered, and texture and material attribute parameters are added. After the settings are completed, the model is input into the simulation device.

3. The performance simulation analysis method for sandwich-lined underground high-pressure gas storage tank according to claim 1, characterized in that, The process of discretizing the three-dimensional geometric model of the gas storage tank into a finite element network includes: Determine the type, real constants, material properties, and coordinate system of the underground gas storage tank; set a fine mesh density in the area where material properties change; generate a mesh based on the element properties; check the generated mesh; and merge the generated mesh with other parts of the model. Based on the material properties of the underground gas storage tank, determine the Young's modulus, Poisson's ratio, and density material parameters of each small unit; based on the construction environment of the underground gas storage tank, define the fixed support and displacement constraint boundary conditions of the model and the applied gravity, pressure, and temperature loads. Combine the local equations of all small units into a global equation system, and solve the equation system to obtain the model's response. After the solution is completed, plot the corresponding stress distribution diagram and deformation diagram.

4. The performance simulation analysis method for sandwich-lined underground high-pressure gas storage tank according to claim 1, characterized in that, The process of establishing a simulated earthquake database includes: Collect data on body wave magnitude, surface wave magnitude, and moment magnitude at different magnitude scales of historical earthquakes, and perform scanning, image processing, and format conversion preprocessing on the historical earthquake data; A unified earthquake catalog was compiled, containing magnitude and depth information of earthquake events, removing foreshocks and aftershocks, and retaining only mainshock events; earthquake magnitudes were divided into different intervals, and different magnitudes were converted into moment magnitudes; Create a distributed database and partitioned tables, and import the processed earthquake data; set up simulated earthquake databases of different magnitudes according to the partitioned intervals, including uncertainty parameters such as focal depth, dip angle, and radiation coefficient.

5. The performance simulation analysis method for sandwich-lined underground high-pressure gas storage tank according to claim 1, characterized in that, The process of analyzing underground gas storage tanks under seismic loading includes: Based on historical earthquake records, different magnitude ranges of earthquakes in the compiled earthquake catalog were used as input loads and applied to the bottom of the gas storage tank model to simulate the effects of earthquakes of different magnitudes on the underground gas storage tank. Modal analysis was used to extract the natural frequencies and mode shapes of the gas storage tank, to evaluate the strain and deformation response of the gas storage tank under earthquakes of different magnitudes, and time history analysis was performed to obtain detailed stress and deformation response of the gas storage tank.

6. The performance simulation analysis method for sandwich-lined underground high-pressure gas storage tank according to claim 1, characterized in that, The process of identifying potential problems with underground gas storage tank structures includes: It receives stress distribution maps and deformation maps from simulation models and real-time sensors, extracts key features, stress concentration areas, and deformation patterns from the images, compares the similarities and differences between simulation data and real-time data, and outputs comparison results, including similarity scores, difference area markings, and potential problem identification. The system uses a convolutional neural network to extract key features from images, generate feature vectors, and perform dimensionality reduction on the feature vectors. It identifies and matches key points in simulation and real-time data, calculates similarity scores between the two sets of data, and visually displays the differences between simulation and real-time data by marking the differences in regions. An autoencoder is used to identify stress concentration areas and deformation anomalies, classify the anomaly areas, and mark potential problem areas.

7. A sandwich-lined underground high-pressure gas storage tank device, which is applied to the performance simulation analysis method of the sandwich-lined underground high-pressure gas storage tank as described in any one of claims 1 to 6, characterized in that, The sandwich steel-lined underground high-pressure gas storage tank device is equipped with a gas storage cavity; the outside of the gas storage cavity is wrapped by a composite lining structure, and there are multiple drainage holes around the gas storage cavity. Anchor bolts are fixed in the intervals between each pair of drainage holes. An inlet / outlet is provided at the top of the gas storage cavity, and the inlet / outlet is connected to the outside through a traffic / maintenance passage; the entire gas storage tank device is surrounded by surrounding rock.

8. The sandwich-lined underground high-pressure gas storage tank device according to claim 7, characterized in that, The composite lining structure includes: air storage cavity, drainage hole, anchor bolt, surrounding rock, concrete inner shell, steel lining, concrete lining outer shell, drainage pipe, backfill concrete and shotcrete; The structure consists of, from the inside out, a concrete inner shell, a steel lining, a concrete-lined outer shell, a drainage pipe, backfill concrete, shotcrete, and the outermost surrounding rock; the drainage holes are connected to the drainage pipes, and the anchor bolts are connected to the steel lining.

Images