Parameterized simulation analysis method and system for reticulated shell structure of tank top of low-temperature storage tank

Abstract

The invention provides a parameterized simulation analysis method and system for a low-temperature storage tank top reticulated shell structure. The method comprises the steps that actual parameters of a low-temperature storage tank top reticulated shell are determined based on actual working conditions and standards; inputting the actual parameters into a constructed parameterized model for processing to obtain actual working conditions and standard simulation data; and performing analog simulation based on the simulation data to obtain a reticulated shell simulation analysis result. According to the method, for low-temperature storage tank top structures of different specifications and types, the model can be easily adjusted through flexible parameter setting, the time of manual modeling, grid division and simulation analysis can be greatly shortened, the tedious process that modeling needs to be conducted from the beginning for each new project in a traditional method is avoided, and the modeling efficiency is improved. Potential problems can be found and solved in advance, safe and stable operation of the low-temperature storage tank is ensured, meanwhile, the whole life cycle cost is reduced, the analysis efficiency is improved, repeated work is reduced, and the cost of the whole project is reduced.

Description

Technical Field

[0001] This invention belongs to the field of simulation analysis technology for liquefied natural gas cryogenic storage tank structures, specifically to a parametric simulation analysis method and system for the top shell structure of cryogenic storage tanks. Background Technology

[0002] With the development of the energy industry, cryogenic storage tanks are playing an increasingly important role. The top shell structure, as a key component of cryogenic storage tanks, directly affects the safety and economy of the tank. Therefore, accurate analysis of the top shell structure to ensure its stability and reliability under various operating conditions is crucial. In recent years, the finite element method (FEM) simulation analysis has been widely used in structural engineering. This method, by establishing accurate mathematical models, can simulate the stress distribution, deformation behavior, and vibration characteristics of the shell structure under various operating environments. With the widespread application of cryogenic fluids such as liquefied natural gas (LNG) and liquid hydrogen in the energy sector, cryogenic storage tanks, as key storage facilities for these fluids, are receiving increasing attention for their design and construction technology. The top shell structure of a cryogenic storage tank, as a crucial component bearing external loads and maintaining the internal cryogenic environment, directly affects the overall safety and service life of the tank.

[0003] However, existing finite element simulation analysis methods for cryogenic storage tank roof reticulated shell structures involve separate design modeling, mesh generation, and simulation analysis of the tanks under different roof structural forms, design parameters, and load constraints. Furthermore, for tank roof reticulated shell structures of different specifications, manual remodeling, mesh generation, and simulation analysis are required. For example, CN110096808A discloses a finite element simulation analysis method for ribbed spherical shell domes under multi-point loads. This method includes modeling, linear instability modal analysis, nonlinear stability analysis, local reinforcement component settings, proportional load amplification, and stability coefficient calculation. By simulating the actual modes and deformation distribution under different loads, the stability of the dome is evaluated, and anti-instability methods are determined. It focuses on the calculation method for multi-point loads on the tank roof. Although this method can simulate the actual modes and deformation distribution under different loads and evaluate the stability of the dome, it requires remodeling, linear instability mode analysis, nonlinear stability analysis, setting of local reinforcement components, proportional load amplification, and calculation of stability coefficients for different tank roof reticulated shell structures. This makes the analysis of different models of tank roof reticulated shell structures complicated, resulting in long simulation analysis time, high cost, and the need for staff to repeat some operations, which makes the workload huge and prone to errors, requiring the initial steps to be restarted, thus prolonging the simulation analysis time. Summary of the Invention

[0004] To address the problem that existing finite element simulation analysis methods for the top shell structure of storage tanks require remodeling and data acquisition for different models, resulting in excessive repetitive work for staff and low simulation analysis efficiency, this invention provides a parametric simulation analysis method and system for the top shell structure of cryogenic storage tanks.

[0005] To achieve the above objectives, the present invention provides the following technical solution: This invention proposes a parametric simulation analysis method for the top shell structure of a cryogenic storage tank, comprising the following steps: The actual parameters of the top mesh shell of the cryogenic storage tank are determined based on actual working conditions and standards. The actual parameters are input into the constructed parametric model for processing to obtain simulation data of actual working conditions and standards. Simulations were performed based on the simulation data to obtain simulation analysis results for the reticulated shell.

[0006] Preferably, determining the actual parameters of the cryogenic storage tank top mesh shell based on actual operating conditions and standards includes: determining the actual operating conditions and standards of the cryogenic storage tank top mesh shell, and determining the actual parameters of the cryogenic storage tank top mesh shell under the actual operating conditions and standards.

[0007] Preferably, the actual parameters include the diameter of the top mesh shell of the cryogenic storage tank, the type of the top mesh shell, and the metal material used.

[0008] Preferably, the actual parameters are input into the constructed parameterized model for processing, including: A parameterized model is constructed based on historical parameters of the tank top shell; The actual parameters of the cryogenic storage tank top mesh shell are input into the parameterized model for modeling to obtain the actual tank top mesh shell model. The actual tank top mesh shell model is translated to obtain the simulation data of the actual working conditions and standards.

[0009] Preferably, the construction of the parameterized model based on the historical parameters of the tank top shell includes... The skin structure is established based on the first geometric parameters of the pre-set cryogenic storage tank top shell structure; A beam element is constructed on the skin structure based on a preset second geometric parameter to obtain a reticulated shell model; The skin cross-sectional thickness is preset, the offset is determined based on the skin cross-sectional thickness, and the skin unit is constructed in the shell model based on the skin cross-sectional thickness and the offset to obtain the skin model; The skin model is divided into meshes based on a preset mesh division method to obtain a meshed model; The meshed model is optimized based on parameter constraints to obtain a parameterized model.

[0010] Preferably, the first geometric parameter is the diameter of the reticulated shell structure; The construction of beam elements on the skin structure based on preset second geometric parameters includes: The preset number of beam layers, number of nodes per layer, radius of the sphere, outer radius, misalignment marker, and number of reinforcing beams in each layer are specified. Based on the number of layers, the number of nodes in each layer, the radius of the sphere, the radius of the outer ring, the misalignment marker, and the number of reinforcing beams in each layer, beam elements are constructed on the skin to obtain the reticulated shell model.

[0011] Preferably, the parameter constraint-based optimization of the meshed model includes: Preset displacement constraints, load constraints, and environmental parameter constraints; The combined operating condition constraints are formed based on the combination of the load constraints and the environmental parameter constraints. Based on the displacement constraints, the load constraints, and the environmental parameter constraints, the meshed model is optimized sequentially to obtain a single-constraint meshed model. The parameterized model is obtained by optimizing the single-constraint meshed model based on combined working condition constraints. The load constraints include concentrated load constraints, self-weight constraints, and internal pressure constraints on the lower ceiling and the upper inspection plane and walkway; The environmental parameter constraints include wind load constraints, snow load constraints, and seismic load constraints. The combined operating condition constraints formed by combining the load constraints and the environmental parameter constraints include: The first combined working condition constraint is based on the self-weight constraint, the internal pressure constraint, the concentrated load constraint, and the wind load constraint; The second combined working condition constraint is based on the self-weight constraint, the internal pressure constraint, the concentrated load constraint, and the snow load constraint; The third combined working condition constraint is based on the self-weight constraint, the internal pressure constraint, the concentrated load constraint, the snow load constraint, and the wind load constraint; The fourth combined working condition constraint is based on the self-weight constraint, the internal pressure constraint, the concentrated load constraint, and the seismic load constraint.

[0012] Preferably, the step of sequentially optimizing the meshed model based on the displacement constraints, the load constraints, and the environmental parameter constraints includes: The parameters of the displacement constraint are added to the outer ring of the meshed model to simulate the boundary conditions of the meshed model in actual working conditions, thereby restricting the displacement of the outer ring nodes in the meshed model and obtaining a displacement-constrained meshed model. The self-weight constraint is added to the center of the displacement constraint mesh model, with the origin of the coordinate system, the vertical direction as the z-axis, the horizontal direction as the x-axis, and the vertical direction as the y-axis. Self-weight optimization is performed in the z-axis direction of the spatial coordinate system to obtain the self-weight constraint mesh model. An internal pressure constraint perpendicular to the outward orientation is applied to the skin structure in the self-weight constrained mesh model, and internal pressure optimization is performed to obtain an internal pressure constrained mesh model. The concentrated load constraint is applied to the internal pressure constraint mesh model, and concentrated load optimization is performed to obtain the concentrated load constraint mesh model. The snow load constraint and the wind load constraint are applied to all skin elements in the concentrated load constraint mesh model in the x direction of the three-dimensional coordinate system, and the snow load constraint and wind load constraint are optimized to obtain the environmental load constraint mesh model. The acceleration from the seismic load is applied to the x and z directions of the three-dimensional coordinate system in the environmental load constrained mesh model to optimize the seismic load. The structure of the environmental load constrained mesh model is adjusted based on the seismic influence anomaly parameters to obtain a single-constraint mesh model.

[0013] Preferably, the optimization of the single-constraint meshed model based on combined working condition constraints includes: The first combined working condition constraint is applied to the single-constraint meshed model to simulate the first combined influence parameter. Based on the first combined influence parameter, the structure of the single-constraint meshed model is adjusted to obtain the first combined screening meshed model. The second combination of working conditions is applied to the first combination screening grid model to simulate the second combination influence parameters. Based on the second combination influence parameters, the structure of the first combination screening grid model is adjusted to obtain the second combination screening grid model. The third combination of working conditions is applied to the second combination screening grid model to simulate the third combination influence parameters. Based on the third combination influence parameters, the structure of the second combination screening grid model is adjusted to obtain the third combination screening grid model. The fourth combination of working conditions is applied to the third combination of screening gridded model to simulate the fourth combination of influence parameters. Based on the fourth combination of influence parameters, the structure of the third combination of screening gridded model is adjusted to obtain the parameterized model.

[0014] This invention proposes a parametric simulation analysis system for the top shell structure of a cryogenic storage tank. Based on the above-mentioned method, it includes an actual parameter determination module, a parametric processing module, a simulation analysis module, and an output module. The actual parameter determination module is used to determine the actual parameters of the top mesh shell of the cryogenic storage tank based on actual working conditions and standards. The parameterization processing module is used to input actual parameters into the constructed parameterization model for processing, so as to obtain actual working conditions and standard simulation data. The simulation analysis module is used to perform simulation based on simulation data to obtain simulation analysis results of the reticulated shell; The output module is used to output simulation analysis results.

[0015] Compared with the prior art, the present invention has the following beneficial technical effects: This invention proposes a parametric simulation analysis method for the roof reticulated shell structure of cryogenic storage tanks. This method, by closely integrating actual working conditions and standard specifications, accurately determines various actual parameters of the roof reticulated shell, ensuring the accuracy and reliability of the simulation analysis. These parameters are then input into a carefully constructed parametric model, enabling efficient processing of complex structures and rapidly generating simulation data that conforms to actual conditions. This not only simplifies the cumbersome process of traditional design verification but also significantly improves design efficiency and accuracy. Simulation based on the simulation data allows for comprehensive and in-depth analysis of the stress state, deformation, and stability of the reticulated shell structure under different working conditions, providing strong data support for design optimization, safety assessment, and operation and maintenance management. This method allows for easy model adjustment of the roof structure for different specifications and types of cryogenic storage tanks through flexible parameter settings, significantly reducing the time spent on manual modeling, mesh generation, and simulation analysis. It avoids the tedious process of starting modeling from scratch for each new project, which is necessary in traditional methods. This helps to identify and resolve potential problems in advance, ensuring the safe and stable operation of cryogenic storage tanks, while also reducing the total life cycle cost, improving analysis efficiency, and reducing repetitive work, thus contributing to lowering the overall project cost.

[0016] Furthermore, this method ensures precise control of the core dimensions of the structural design by explicitly defining the first geometric parameter as the diameter of the reticulated shell structure. By constructing beam elements using pre-defined detailed parameters such as the number of beam layers, nodes, spherical surface, and outer radius, the complexity and realism of the reticulated shell model are enhanced, as well as its adaptability to actual working conditions. Introducing the skin cross-sectional thickness and its offset to construct skin elements results in a tighter connection between the skin and beam elements, strengthening the overall structural integrity and significantly improving the accuracy and reliability of simulation analysis. This provides more comprehensive and detailed data support for the optimized design of the reticulated shell structure on the top of cryogenic storage tanks, thereby promoting the optimization and improvement of structural performance.

[0017] Furthermore, this method provides clear goals and directions for model optimization through pre-defined displacement, load, and environmental parameter constraints. Displacement constraints ensure the realism of boundary conditions when simulating actual working conditions, while load constraints cover concentrated loads on key components such as ceilings, inspection planes, and walkways, as well as basic loads such as self-weight and internal pressure, ensuring that the model can accurately reflect the structure's behavior under various stress states. The introduction of environmental parameter constraints, such as wind load, snow load, and seismic load, further enhances the model's adaptability to extreme environmental conditions, making the simulation results closer to reality. By combining these constraints into different working conditions, it is possible to simulate the structure's behavior under various stress states. The comprehensive performance under complex environments provides a more comprehensive and in-depth reference for structural design. In the optimization process, a strategy of applying constraints sequentially is adopted to gradually refine the optimization process of the mesh model. From displacement constraints to self-weight constraints, and then to the gradual introduction of internal pressure, concentrated loads, environmental loads and seismic loads, each step is based on the optimization results of the previous step, ensuring the continuity and effectiveness of the optimization process, improving optimization efficiency, and avoiding optimization failures caused by conflicting constraints. The final parametric model not only meets all the preset constraints, but has also undergone multiple rounds of fine-tuning optimization, and its simulation results are more accurate and reliable.

[0018] Furthermore, this method combines key constraints such as self-weight, internal pressure, concentrated loads, wind loads, snow loads, and seismic loads into different working conditions. This not only covers various stress conditions that the structure may encounter during normal use but also fully considers the impact of extreme environments on structural performance. The combined working condition constraint settings make the simulation analysis closer to reality, providing a strong guarantee for the scientific nature and reliability of structural design. In the optimization process, a strategy of gradually applying combined working condition constraints is adopted. Starting from the first combined working condition constraint, the constraints are gradually increased to simulate the behavior of the structure under different working conditions. Through the influence parameters obtained from the simulation, targeted structural adjustments are made to the meshed model to ensure that the model maintains good performance under each working condition. The method of gradual screening and optimization not only improves the optimization efficiency but also ensures the accuracy and stability of the optimization results. The final parametric model is formed after multiple rounds of combined working condition constraint optimization, and its structure is more reasonable and its performance is superior. This model can accurately reflect the stress characteristics and deformation of the structure under different working conditions, providing reliable data support for structural design, performance evaluation and optimization. In addition, by comparing the simulation results under different combinations of working conditions, it can further reveal the response law and failure mechanism of the structure under different stress conditions, providing an important reference for the safety and durability design of the structure.

[0019] This invention proposes a parametric simulation analysis system for the top shell structure of cryogenic storage tanks. This system integrates multiple modules, including a data actual parameter determination module, a parameterization processing module, a simulation analysis module, and an output module, achieving fully automated processing from basic data input to simulation result output. This system not only simplifies the simulation analysis process for complex structures and improves work efficiency, but also ensures the accuracy and reliability of simulation results through refined model construction and parameter constraint optimization. Furthermore, the modular design of the system makes each module relatively independent, facilitating maintenance and upgrades, and enhancing the system's flexibility and scalability. Attached Figure Description

[0020] Figure 1 This is a flowchart illustrating the steps of a parametric simulation analysis method for the top shell structure of a cryogenic storage tank proposed in this invention. Figure 2 This is a schematic diagram of the parametric modeling results of a triangular reticulated shell in the parametric simulation analysis method for the top reticulated shell structure of a cryogenic storage tank proposed in this invention. Figure 3 This is a schematic diagram of the finite element module division of a parametric simulation analysis method for the top shell structure of a cryogenic storage tank proposed in this invention. Figure 4 This is a displacement constraint diagram for a parametric simulation analysis method for the top shell structure of a cryogenic storage tank proposed in this invention. Figure 5 This is a schematic diagram illustrating the setting of skin offset in a parametric simulation analysis method for the top shell structure of a cryogenic storage tank proposed in this invention. Detailed Implementation

[0021] In the following description, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments can be modified in various ways without departing from the spirit or scope of the invention. Therefore, the drawings and description are considered to be exemplary in nature and not restrictive.

[0022] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0023] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0024] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection, an electrical connection, or a communication connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0025] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature being directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature being directly above or diagonally above the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.

[0026] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0027] See Figure 1 This invention proposes a parametric simulation analysis method for the top shell structure of a cryogenic storage tank, comprising the following steps: The actual parameters of the top mesh shell of the cryogenic storage tank are determined based on actual working conditions and standards. Specifically, the actual working conditions and standards of the top mesh shell of the cryogenic storage tank are determined, and the actual parameters of the top mesh shell of the cryogenic storage tank are determined under these actual working conditions and standards. The actual parameters include the diameter of the top mesh shell of the cryogenic storage tank, the type of the top mesh shell, the metal material used, and other parameters. The actual parameters are input into the constructed parametric model for processing to obtain simulation data of actual working conditions and standards; Specifically, a parametric model is constructed based on the historical parameters of the tank top shell, including: The skin structure is established based on the first geometric parameters of the pre-set cryogenic storage tank top shell structure; Specifically, the first geometric parameters of the pre-set cryogenic storage tank top mesh shell structure include the mesh shell structure diameter, and the skin structure is established based on the mesh shell structure diameter; Beam elements are constructed on the skin structure based on preset second geometric parameters to obtain the reticulated shell model; The preset beam layers n, the number of nodes per layer dd, the radius of the sphere sr, the outer radius rmax, the misalignment flag kk, and the number of reinforcing beams ll in each layer are: Based on the preset number of beam layers n, the number of nodes per layer dd, the radius of the sphere sr, the outer radius rmax, the misalignment flag kk, and the number of reinforcing beams ll in each layer, beam elements are constructed on the skin to obtain the reticulated shell model; and the beams are I-beams, which are a type of steel plate for low-temperature pressure vessels, with a nominal thickness of 6~16mm and a tensile strength of 490~620MPa.

[0028] The reticulated shell model is a triangular reticulated shell; The triangular reticulated shell structure is divided into three parts according to the location of the shell: the main trunk, the side lobes, and the outer perimeter. The main trunk, derived from the center, defines the overall shape of the triangular reticulated shell. The side lobes are the beams remaining after cutting from the main trunk and the outer perimeter; they serve to support and fill the space. The outer perimeter consists of the outermost two rings and above, each ring offset by half a beam length. The characteristic of this part is that it does not increase the number of nodes compared to the previous layer; instead, it forms a triangular structure through offset. Therefore, the outer perimeter should not have too many nodes; otherwise, the outer triangles will be too flat and unable to provide support.

[0029] It should be noted that the parametric modeling of triangles uses "arc length per layer (calculated proportionally)" and the outer radius to define the layers, instead of directly using the layer radius as in the bimeridian model. This is because in the triangular mesh, I want the lengths of all beams in the triangular shell to be as similar as possible, and this method of definition is more intuitive. The subsequent program will use this data to calculate the radius of each layer, so it is also possible to define it directly using the layer radius. Another point to note is that the layer definition in the triangular shell differs slightly from that in the bimeridian model. Because the center of the bimeridian mesh is hollow and there is no "outer ring," each layer consists of a circumferential beam plus outwardly extending radial beams. In contrast, the triangular shell has an outer ring, and six beams emanate from a single point at the center, so each layer of the triangular shell consists of a circumferential beam plus inwardly extending radial beams. Of course, regardless of whether it's a bimeridian or triangular shell, the number of layers is defined by the number of circumferential beam rings.

[0030] In the shell model, skin elements are constructed based on the preset third geometric parameters to obtain the skin model; Specifically, the third preset geometric parameter, namely the preset skin cross-sectional thickness and the offset based on the skin cross-sectional thickness, and the offset direction are determined. Because the beams and surfaces are centered during modeling, directly meshing without setting an offset will result in clipping between the skin elements and beam elements. The skin should be attached to the upper surface of the I-beam, so we need to set an offset. The offset beam is set to half the sum of the beam height and the skin thickness. The material of the skin is determined to be low-temperature pressure vessel steel plate. Based on the preset skin cross-sectional thickness, offset, and offset direction, skin elements are constructed in the shell model to obtain the skin model.

[0031] The skin model is meshed based on a preset meshing method, such as... Figure 3 As shown, the meshed model is obtained; The parameterized model is obtained by optimizing the meshed model based on parameter constraints. Preset parameter constraints include preset displacement constraints, load constraints, and environmental parameter constraints; combined working condition constraints are formed based on the combination of load constraints and environmental parameter constraints; among them, environmental parameter constraints include wind load constraints, snow load constraints, and seismic load constraints; load constraints include concentrated load constraints, self-weight constraints, and internal pressure constraints on the lower ceiling and the upper inspection plane and walkway; The combined load constraints are divided into four categories: the first combined load constraint, which includes self-weight constraint, internal pressure constraint, concentrated load constraint, and wind load constraint; the second combined load constraint, which includes self-weight constraint, internal pressure constraint, concentrated load constraint, and snow load constraint; the third combined load constraint, which includes self-weight constraint, internal pressure constraint, concentrated load constraint, snow load constraint, and wind load constraint; and the fourth combined load constraint, which includes self-weight constraint, internal pressure constraint, concentrated load constraint, and seismic load constraint. The parameters of displacement constraint are added to the outer ring of the meshed model for optimization, simulating the boundary conditions of the meshed model in actual working conditions, restricting the displacement of the outer ring nodes in the meshed model, and obtaining the displacement constraint meshed model. The center position of the displacement-constrained mesh model is the origin of the coordinate system, the vertical direction is the z-axis, the horizontal direction is the x-axis, and the vertical direction is the y-axis. A spatial coordinate system is constructed, and the self-weight constraint is added in the z-axis direction. The downward force generated by the displacement-constrained mesh model due to its own weight is simulated to obtain the self-weight constraint simulation parameters. Based on the self-weight constraint simulation parameters, the structure of the displacement-constrained mesh model is adjusted to obtain the self-weight constraint mesh model. An internal pressure constraint perpendicular to the outward plane is applied to the skin structure in the self-weight constrained mesh model to simulate the force of the mesh model under internal pressure, and the internal pressure constraint simulation parameters are obtained. Based on the internal pressure constraint simulation parameters, the structure of the self-weight constrained mesh model is adjusted to obtain the self-internal pressure constrained mesh model. Concentrated load constraints are applied to the internal pressure constrained mesh model to simulate the external forces acting on the internal pressure constrained mesh model at specific points or regions. The stress, deformation, and stress distribution of the points or regions in the internal pressure constrained mesh model and the surrounding structures are evaluated, and the stress, deformation, and stress distribution data of the points or regions in the internal pressure constrained mesh model and the surrounding structures are obtained. Based on the stress, deformation, and stress distribution data of the points or regions in the internal pressure constrained mesh model and the surrounding structures, the structure of the internal pressure constrained mesh model is adjusted to obtain the concentrated load constrained mesh model. Snow load constraints and wind load constraints are applied to all skin elements in the concentrated load constrained mesh model in the x-direction of the three-dimensional coordinate system to simulate the influence of snow pressure and wind pressure in the natural environment on the skin structure in the concentrated load constrained mesh model, and the skin influence parameters are obtained. Based on the skin influence parameters, the structure of the concentrated load constrained mesh model is adjusted to obtain the environmental load constrained mesh model. The acceleration in the seismic load is applied to the x and z directions of the three-dimensional coordinate system corresponding to the environmental load constrained mesh model to simulate the effect of the earthquake on the skin structure in the environmental load constrained mesh model. The seismic influence anomaly parameters in the skin structure are obtained. Based on the seismic influence anomaly parameters, the structure of the environmental load constrained mesh model is adjusted to obtain a single-constrained mesh model. In this case, the combined working condition constraints are applied in the same position and direction as the individual constraints; The self-weight constraint, internal pressure constraint, concentrated load constraint and wind load constraint in the first combination of working conditions are applied to the single-constraint mesh model to simulate the situation where the single-constraint mesh model is simultaneously subjected to its own weight, internal pressure, local concentrated load and wind load under normal use conditions. The first combination of influence parameters is obtained. Based on the first combination of influence parameters, the structure of the single-constraint mesh model is adjusted to obtain the first combination of screened mesh model. The self-weight constraint, internal pressure constraint, concentrated load constraint and snow load constraint of the second combination of working conditions are applied to the first combination of screening mesh model to simulate the situation where the first combination of screening mesh model is subjected to its own weight, internal pressure, local concentrated load and snow load in winter or snowy areas. The second combination of influence parameters is obtained. Based on the second combination of influence parameters, the structure of the first combination of screening mesh model is adjusted to obtain the second combination of screening mesh model. The self-weight constraint, internal pressure constraint, concentrated load constraint, wind load constraint, and snow load constraint of the third combination of working conditions are applied to the second combination of screened grid model. The second combination of screened grid model is simulated under extreme weather conditions when the structure is subjected to multiple different but possibly simultaneous environmental loads. The third combination of influence parameters is obtained. Based on the third combination of influence parameters, the structure of the second combination of screened grid model is adjusted to obtain the third combination of screened grid model.

[0032] The self-weight constraint, internal pressure constraint, concentrated load constraint, and seismic load constraint of the fourth combination of load conditions are applied to the third combination of screened meshed models. This simulates the third combination of screened meshed models under seismic loading, simultaneously affected by their own weight, internal pressure, and local concentrated loads, yielding the fourth combination of influence parameters. Based on these parameters, the structure of the third combination of screened meshed models is adjusted to obtain a parametric model, such as... Figure 2 As shown.

[0033] The actual parameters of the roof shell of the cryogenic storage tank are input into the parametric model for modeling to obtain the actual roof shell model. The actual roof shell model is then translated to obtain simulation data of actual working conditions and standards. Simulations were performed based on the simulation data to obtain simulation analysis results for the reticulated shell.

[0034] Specifically, the simulation data is input into the simulation software for simulation, and the actual tank top reticulated shell model constructed with actual parameters is verified and checked to see if it meets the load under the actual working conditions and standards. After the simulation is completed, the simulation analysis results of the reticulated shell are obtained.

[0035] The above method will be further explained and illustrated below with reference to the embodiments: the top shell structure of the cryogenic storage tank is a triangular 10,000 cubic meter arched steel mesh shell structure.

[0036] The pre-defined diameter of the grid shell structure of the cryogenic storage tank top is used to establish the skin structure. The skin material is low-alloy high-strength structural steel (Q355), with a yield strength of 355MPa, a density of 7850Kg / m3, a Young's modulus of 210GPa, and a Poisson's ratio of 0.3.

[0037] Assuming the pre-defined number of beam layers n is 10, the number of nodes per layer dd is [6, 12, 18, 24, 30, 36, 42, 48, 48, 48], the radius of the sphere sr is 21.600, the outer radius rmax is 13.350, and the misalignment flag kk is [0, ... 1,0] and the number of reinforcing beams in each layer is [1,1,1,1,1,1,1,1,sqrt(3) / 2,sqrt(3) / 2] to build beam elements and obtain the grid shell model of the triangular grid shell; and the beam is an I-beam, the I-beam is 16MnDR, the nominal thickness of the steel plate is 8mm, its tensile strength is 490~620MPa, its yield strength is 315MPa, its density is 7850Kg / m3, its Young's modulus is 206GPa, and its Poisson's ratio is 0.3.

[0038] With a preset skin cross-sectional thickness and an offset based on the skin cross-sectional thickness (e.g.) Figure 5As shown in the figure, skin elements are constructed in the shell model to obtain the skin model. The skin model is then meshed to obtain the meshed model. The preset displacement constraint is 0, the wind load constraint pressure is 0.35 kPa, the concentrated load constraint of the lower ceiling and the upper inspection plane and walkway, the snow load constraint pressure is 0.35 kPa, the seismic load constraint is the design value of the seismic acceleration with a 10% exceedance probability during the 50-year design reference period, where the values ​​are 0.10g for magnitude 7, 0.20g for magnitude 8, and 0.40g for magnitude 9. Therefore, the seismic acceleration of magnitude 8 earthquake is taken as 0.2 × 9.8 m / s = 1.96 m / s, the self-weight constraint is 9.8 m / s acceleration load, and the internal pressure constraint pressure is 0.5 kPa; The combined load constraints are divided into four categories: the first combined load constraint, which includes self-weight constraint, internal pressure constraint, concentrated load constraint, and wind load constraint; the second combined load constraint, which includes self-weight constraint, internal pressure constraint, concentrated load constraint, and snow load constraint; the third combined load constraint, which includes self-weight constraint, internal pressure constraint, concentrated load constraint, snow load constraint, and wind load constraint; and the fourth combined load constraint, which includes self-weight constraint, internal pressure constraint, concentrated load constraint, and seismic load constraint. Optimize by adding parameters with zero displacement constraints to the outer ring of the meshed model, such as... Figure 4 As shown, the boundary conditions of the simulated meshed model under actual working conditions are used to restrict the displacement of the outer nodes in the meshed model. A spatial coordinate system is constructed with the center of the meshed model as the origin, the vertical direction as the z-axis, the horizontal direction as the x-axis, and the vertical direction as the y-axis. A self-weight constraint with an acceleration of 9.8 m / s² is added to the z-axis to simulate the downward force generated by the displacement-constrained meshed model due to its own weight, eliminating meshed models with abnormal stress. An internal pressure constraint perpendicular to the surface and applied outwards from the skin is directly applied, i.e., a pressure of 0.5 kPa is applied to simulate the stress on the meshed model under internal pressure, eliminating meshed models with abnormal stress. Concentrated load constraints are also applied to the meshed model. The simulation method applies external forces to a specific point or region of the meshed model, evaluating the stress, deformation, and stress distribution at that point or region and in its surrounding structure. Snow load constraints of 0.35 kPa and wind load constraints of 0.35 kPa are applied to all skin elements along the x-direction of a 3D coordinate system constructed on the meshed model to simulate the effects of snow and wind pressure on the skin structure in the natural environment, eliminating meshed models heavily influenced by the natural environment. Seismic acceleration is applied to the x and z directions of the 3D coordinate system constructed on the meshed model to simulate the impact of earthquakes on the skin structure, eliminating meshed models affected by earthquakes and exhibiting anomalies, resulting in a single-constraint meshed model. In this case, the combined working condition constraints are applied in the same position and direction as the individual constraints; The self-weight constraint, internal pressure constraint, concentrated load constraint and wind load constraint in the first combination of working conditions are applied to the single-constraint meshed model to simulate the situation where the single-constraint meshed model is simultaneously subjected to its own weight, internal pressure, local concentrated load and wind load under normal use conditions. The first combination of meshed models is obtained through preliminary combination screening. The self-weight constraint, internal pressure constraint, concentrated load constraint and snow load constraint of the second combination of working conditions are applied to the first combination of screened mesh model to simulate the situation in winter or snowy areas where the first combination of screened mesh model is simultaneously subjected to its own weight, internal pressure, local concentrated load and snow load. The second combination of screened mesh model is obtained by secondary simulation screening. The self-weight constraint, internal pressure constraint, concentrated load constraint, wind load constraint, and snow load constraint of the third combined working condition are applied to the second combined screened grid model to simulate the situation where the structure is subjected to multiple different but possibly simultaneous environmental loads under extreme weather conditions. The third combined screened grid model is obtained by three simulations.

[0039] The self-weight constraint, internal pressure constraint, concentrated load constraint and seismic load constraint of the fourth combination of working conditions are applied to the third combination of screened gridded model to simulate the situation where the third combination of screened gridded model is simultaneously affected by its own weight, internal pressure and local concentrated load under seismic action. The parameterized model is obtained by four simulation screenings.

[0040] Simulation analysis was conducted based on the preset parameters of the cryogenic storage tank top shell structure and the parameterized model to obtain the simulation results of the preset parameters of the cryogenic storage tank top shell structure.

[0041] In another embodiment of the present invention, a parametric simulation analysis system for the top shell structure of a cryogenic storage tank is provided. This system can be used to implement the above-mentioned parametric simulation analysis method for the top shell structure of a cryogenic storage tank. Specifically, the parametric simulation analysis system for the top shell structure of a cryogenic storage tank includes an actual parameter determination module, a parameterization processing module, a simulation analysis module, and an output module. Among them, the actual parameter determination module is used to determine the actual parameters of the top mesh shell of the cryogenic storage tank based on actual working conditions and standards. The parameterization processing module is used to input actual parameters into the constructed parameterized model for processing, so as to obtain simulation data of actual working conditions and standards. The simulation analysis module is used to perform simulations based on simulation data and obtain simulation analysis results for the reticulated shell. The output module is used to output the simulation analysis results.

[0042] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered illustrative and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the scope of the invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0043] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can be appropriately combined to form other embodiments that can be understood by those skilled in the art. The above content is only for illustrating the technical concept of the present invention and should not be construed as limiting the scope of protection of the present invention. Any modifications made based on the technical concept proposed in this invention shall fall within the scope of protection of the claims of this invention.

Claims

1. A parametric simulation analysis method for the top shell structure of a cryogenic storage tank, characterized in that, Includes the following steps: The actual parameters of the top mesh shell of the cryogenic storage tank are determined based on actual working conditions and standards. The actual parameters are input into the constructed parametric model for processing to obtain simulation data of actual working conditions and standards. Simulations were performed based on the simulation data to obtain simulation analysis results for the reticulated shell.

2. The parametric simulation analysis method for the top shell structure of a cryogenic storage tank according to claim 1, characterized in that, The process of determining the actual parameters of the cryogenic storage tank top mesh shell based on actual operating conditions and standards includes: determining the actual operating conditions and standards of the cryogenic storage tank top mesh shell, and determining the actual parameters of the cryogenic storage tank top mesh shell under the actual operating conditions and standards.

3. The parametric simulation analysis method for the top shell structure of a cryogenic storage tank according to claim 2, characterized in that, The actual parameters include the diameter of the top mesh shell of the cryogenic storage tank, the type of the top mesh shell, and the metal material used.

4. The parametric simulation analysis method for the top shell structure of a cryogenic storage tank according to claim 1, characterized in that, The actual parameters are input into the constructed parameterized model for processing, including: A parameterized model is constructed based on historical parameters of the tank top shell; The actual parameters of the cryogenic storage tank top mesh shell are input into the parameterized model for modeling to obtain the actual tank top mesh shell model. The actual tank top mesh shell model is translated to obtain the simulation data of the actual working conditions and standards.

5. The parametric simulation analysis method for the top shell structure of a cryogenic storage tank according to claim 4, characterized in that, The construction of a parameterized model based on historical parameters of the tank top shell includes: The skin structure is established based on the first geometric parameters of the pre-set cryogenic storage tank top shell structure; A beam element is constructed on the skin structure based on a preset second geometric parameter to obtain a reticulated shell model; The skin cross-sectional thickness is preset, the offset is determined based on the skin cross-sectional thickness, and the skin unit is constructed in the shell model based on the skin cross-sectional thickness and the offset to obtain the skin model; The skin model is divided into meshes based on a preset mesh division method to obtain a meshed model; The meshed model is optimized based on parameter constraints to obtain a parameterized model.

6. The parametric simulation analysis method for the top shell structure of a cryogenic storage tank according to claim 5, characterized in that, The first geometric parameter is the diameter of the reticulated shell structure; The construction of beam elements on the skin structure based on preset second geometric parameters includes: The preset number of beam layers, number of nodes per layer, radius of the sphere, outer radius, misalignment marker, and number of reinforcing beams in each layer are specified. Based on the number of layers, the number of nodes in each layer, the radius of the sphere, the radius of the outer ring, the misalignment marker, and the number of reinforcing beams in each layer, beam elements are constructed on the skin to obtain the reticulated shell model.

7. The parametric simulation analysis method for the top shell structure of a cryogenic storage tank according to claim 5, characterized in that, The parameter-constrained optimization mesh model includes: Preset displacement constraints, load constraints, and environmental parameter constraints; The combined operating condition constraints are formed based on the combination of the load constraints and the environmental parameter constraints. Based on the displacement constraints, the load constraints, and the environmental parameter constraints, the meshed model is optimized sequentially to obtain a single-constraint meshed model. The parameterized model is obtained by optimizing the single-constraint meshed model based on combined working condition constraints. The load constraints include concentrated load constraints, self-weight constraints, and internal pressure constraints on the lower ceiling and the upper inspection plane and walkway; The environmental parameter constraints include wind load constraints, snow load constraints, and seismic load constraints. The combined operating condition constraints formed by combining the load constraints and the environmental parameter constraints include: The first combined working condition constraint is based on the self-weight constraint, the internal pressure constraint, the concentrated load constraint, and the wind load constraint; The second combined working condition constraint is based on the self-weight constraint, the internal pressure constraint, the concentrated load constraint, and the snow load constraint; The third combined working condition constraint is based on the self-weight constraint, the internal pressure constraint, the concentrated load constraint, the snow load constraint, and the wind load constraint; The fourth combined working condition constraint is based on the self-weight constraint, the internal pressure constraint, the concentrated load constraint, and the seismic load constraint.

8. The parametric simulation analysis method for the top shell structure of a cryogenic storage tank according to claim 7, characterized in that, The optimization of the meshed model based on the displacement constraints, the load constraints, and the environmental parameter constraints includes: The parameters of the displacement constraint are added to the outer ring of the meshed model to simulate the boundary conditions of the meshed model in actual working conditions, thereby restricting the displacement of the outer ring nodes in the meshed model and obtaining a displacement-constrained meshed model. The self-weight constraint is added to the center of the displacement constraint mesh model, with the origin of the coordinate system, the vertical direction as the z-axis, the horizontal direction as the x-axis, and the vertical direction as the y-axis. Self-weight optimization is performed in the z-axis direction of the spatial coordinate system to obtain the self-weight constraint mesh model. An internal pressure constraint perpendicular to the outward orientation is applied to the skin structure in the self-weight constrained mesh model, and internal pressure optimization is performed to obtain an internal pressure constrained mesh model. The concentrated load constraint is applied to the internal pressure constraint mesh model, and concentrated load optimization is performed to obtain the concentrated load constraint mesh model. The snow load constraint and the wind load constraint are applied to all skin elements in the concentrated load constraint mesh model in the x direction of the three-dimensional coordinate system, and the snow load constraint and wind load constraint are optimized to obtain the environmental load constraint mesh model. The acceleration from the seismic load is applied to the x and z directions of the three-dimensional coordinate system in the environmental load constrained mesh model to optimize the seismic load. The structure of the environmental load constrained mesh model is adjusted based on the seismic influence anomaly parameters to obtain a single-constraint mesh model.

9. The parametric simulation analysis method for the top shell structure of a cryogenic storage tank according to claim 7, characterized in that, The optimization of the single-constraint meshed model based on combined working condition constraints includes: The first combined working condition constraint is applied to the single-constraint meshed model to simulate the first combined influence parameter. Based on the first combined influence parameter, the structure of the single-constraint meshed model is adjusted to obtain the first combined screening meshed model. The second combination of working conditions is applied to the first combination screening grid model to simulate the second combination influence parameters. Based on the second combination influence parameters, the structure of the first combination screening grid model is adjusted to obtain the second combination screening grid model. The third combination of working conditions is applied to the second combination screening grid model to simulate the third combination influence parameters. Based on the third combination influence parameters, the structure of the second combination screening grid model is adjusted to obtain the third combination screening grid model. The fourth combination of working conditions is applied to the third combination of screening gridded model to simulate the fourth combination of influence parameters. Based on the fourth combination of influence parameters, the structure of the third combination of screening gridded model is adjusted to obtain the parameterized model.

10. A parameterized simulation analysis system for the top shell structure of a cryogenic storage tank, based on the method described in any one of claims 1 to 9, characterized in that, It includes a module for determining actual parameters, a parameterization processing module, a simulation analysis module, and an output module; Among them, the actual parameter determination module is used to determine the actual parameters of the top mesh shell of the cryogenic storage tank based on actual working conditions and standards. The parameterization processing module is used to input actual parameters into the constructed parameterized model for processing, so as to obtain simulation data of actual working conditions and standards. The simulation analysis module is used to perform simulations based on simulation data and obtain simulation analysis results for the reticulated shell. The output module is used to output the simulation analysis results.

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