Large crude oil storage tank structure failure evaluation method based on multiple extreme working conditions

Abstract

The invention relates to the technical field of crude oil storage tank safety evaluation, and provides a large-scale crude oil storage tank structure failure evaluation method based on multiple extreme working conditions, and the method comprises the steps: constructing each part of a storage tank, and assembling each part; setting the unit type of each component in the finite element according to the actual material parameters of the storage tank; setting three analysis steps for analysis; determining the mutual relation among all the components and carrying out grid division on all the components; fitting a differential settlement formula, a wind load formula and a snow load formula, inputting the formulas into an analytical field, creating a load model, setting boundary conditions, and combining loads of different sizes to act on the storage tank; performing finite element solution, extracting deformation data of each part, and performing tank wall structure safety evaluation on a simulation solution result according to a storage tank deformation evaluation standard. A certain theoretical basis is provided for safe operation of the large crude oil storage tank under the extreme working condition coupling effect.

Description

Technical Field

[0001] The embodiments of the present invention generally relate to the field of crude oil storage tank safety evaluation technology, and particularly to a method for evaluating the structural failure of large crude oil storage tanks based on multiple extreme operating conditions. Background Technology

[0002] In recent years, extreme weather events have become more frequent, impacting the safe operation of storage tanks. In particular, the loads caused by extreme weather can severely damage the tank structure. Given that most of my country's storage tanks are located in coastal and riverside areas with unique soil structures, these areas are prone to foundation settlement and are also frequently hit by natural disasters such as typhoons and blizzards. Large storage tanks are typically thin-shell structures, making them particularly sensitive to external wind loads and uneven settlement. On one hand, wind loads from extreme typhoons can cause deformation of the tank wall structure, potentially leading to structural damage. On the other hand, uneven foundation settlement can weaken the tank's wind resistance; blizzards can cause excessive snow accumulation on the floating roof, leading to risks such as roof collapse. Furthermore, uneven snow distribution during typhoons can cause uneven stress on the floating roof, damaging its structure and severely impacting the safe operation of the tank.

[0003] Therefore, there is an urgent need to provide a method for evaluating the failure of tank wall structures of large crude oil storage tanks under the coupled action of multiple extreme working conditions. This method can be used to analyze the changes in tank wall structure when subjected to the coupled action of multiple extreme loads, determine whether the tank wall structure has failed, and identify the specific parameters of the operating load at the time of failure. This will provide a theoretical basis for the safe operation of in-service storage tanks in extreme environments. Summary of the Invention

[0004] To address the above issues, this invention establishes a large-scale finite element full model, fits the collected operating condition data into a load formula, applies it to the tank model, determines the tank boundary conditions, performs finite element analysis, and analyzes the tank wall deformation results in a visualization interface. This enables failure analysis and generates a risk assessment report, which helps operators analyze the failure mechanism of the large crude oil storage tank wall structure based on the risk assessment report. This provides a theoretical basis for the safe operation of large crude oil storage tanks under extreme operating conditions.

[0005] According to embodiments of the present invention, a method for evaluating the structural failure of large crude oil storage tanks based on multiple extreme operating conditions is provided.

[0006] In a first aspect of the invention, a method for evaluating the structural failure of large crude oil storage tanks based on multiple extreme operating conditions is provided. The method includes: Step S01: Construct each part of the storage tank and assemble the components to obtain the full finite element model of the storage tank; Step S02: Set the element type of each component in the finite element method according to the actual material parameters of the storage tank; Step S03: Set up three analysis steps for analysis: apply the tank liquid gravity, the tank's own gravity and various boundary conditions to the tank model, analyze the tank wind load, snow load and uneven settlement load, and inherit the previous two analysis steps; Step S04: Determine the interrelationships between the components and mesh each component; Step S05: Fit the foundation settlement data, wind pressure distribution data, and snow pressure data into the non-uniform settlement formula, wind load formula, and snow load formula, and input them into the analytical field to create a load model, set boundary conditions, and combine loads of different sizes for the storage tank in the load manager. Step S06: Perform finite element analysis, extract deformation data of each component, and evaluate the safety of the tank wall structure based on the simulation results using the tank deformation evaluation standard.

[0007] Furthermore, the components mentioned in step S01 include: a support platform, a bottom plate, a tank wall, a floating roof, a windproof ring, and a reinforcing ring.

[0008] Furthermore, the tank wall, bottom plate, reinforcing ring, and windproof ring are all thin-shell structures, which are simulated using four-node curved surface thin-shell elements; the floating roof and support platform are simulated using three-dimensional eight-node solid elements.

[0009] Furthermore, the determination of the interrelationships between the various components in step S04 specifically involves: the layers of the tank wall are bonded together using a tie, and the connection between the reinforcing ring and the windproof ring and the tank wall is bonded together using a tie. The bottom plate and the support platform, and the floating roof and the tank wall are in standard contact.

[0010] Furthermore, the formula for uneven settlement mentioned in step S05 is: , where S ( ) represents the settlement amount, and r represents the radial distance, the distance from the monitoring point to the center of the storage tank; denoted as the angle of the settlement observation point; a, b, c, d, and e are parameters to be determined.

[0011] Furthermore, the wind load formula mentioned in step S05 is: ,in, Here, g is the terrain correction factor, and g is the peak factor. Let h be the turbulence intensity at a height h of the storage tank. R is the wind pressure height variation coefficient, R is the resonance component factor, and z is the tank limit height. This represents the highest average wind speed in the area, occurring once every 50 years (m / s).

[0012] Furthermore, the snow load formula mentioned in step S05 is: ,in, This is the standard value for snow load. For basic snow load, The snow distribution coefficient on the roof. The exposure coefficient of the site area. This is the structural importance coefficient. This is the heating coefficient.

[0013] In a second aspect of the invention, an apparatus for evaluating the structural failure of large crude oil storage tanks based on multiple extreme operating conditions is provided. The apparatus includes: Tank Model Building Module: Used to build the various parts of the tank and assemble the components to obtain the full finite element model of the tank; Component type setting module: used to set the element type of each component in the finite element method according to the actual material parameters of the storage tank; Analysis Step Module: Used to set up three analysis steps for analysis: analyzing the gravity of the liquid in the tank, the gravity of the tank itself, and various boundary conditions applied to the tank model; analyzing the wind load, snow load, and uneven settlement load on the tank; and inheriting the previous two analysis steps. Component Relationship Determination Module: Used to determine the relationships between various components and to mesh each component; Load model creation module: used to fit foundation settlement data, wind pressure distribution data, and snow pressure data into non-uniform settlement formula, wind load formula, and snow load formula and input them into the analytical field to create a load model, set boundary conditions, and combine loads of different sizes for the storage tank in the load manager; Safety evaluation module: Used to perform finite element analysis, extract deformation data of each component, and evaluate the safety of the tank wall structure based on the simulation results using the tank deformation evaluation standard.

[0014] In a third aspect of the invention, an electronic device is provided. The electronic device includes a memory and a processor, the memory storing a computer program, the processor executing the program to implement the method according to a first aspect of the invention.

[0015] In a fourth aspect of the invention, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the method according to a first aspect of the invention.

[0016] This invention establishes a large-scale finite element full model, fits the collected working condition data into a load formula and applies it to the tank model, determines the tank boundary conditions, performs finite element solution, and analyzes the tank wall deformation results in a visualization interface to conduct failure analysis and generate a risk assessment report. This helps operators analyze the failure mechanism of the tank wall structure of large crude oil storage tanks based on the risk assessment report, and provides a certain theoretical basis for the safe operation of large crude oil storage tanks under extreme working conditions.

[0017] It should be understood that the description in the Summary of the Invention is not intended to limit the key or essential features of the embodiments of the present invention, nor is it intended to restrict the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0018] The above and other features, advantages, and aspects of the various embodiments of the present invention will become more apparent from the accompanying drawings and the following detailed description. Wherein: Figure 1 A flowchart of a method for evaluating the structural failure of large crude oil storage tanks based on multiple extreme operating conditions according to an embodiment of the present invention is shown; Figure 2 A schematic diagram of the mesh generation of a finite element model of a storage tank according to an embodiment of the present invention is shown; Figure 3 A schematic diagram illustrating the application of tank loads and boundary conditions according to an embodiment of the present invention is shown; Figure 4 A normal radial displacement cloud diagram of the tank wall structure according to an embodiment of the present invention is shown; Figure 5 A deformation failure cloud diagram of the tank wall structure according to an embodiment of the present invention is shown; Figure 6 A block diagram of an apparatus for evaluating the structural failure of a large crude oil storage tank based on multiple extreme operating conditions, according to an embodiment of the present invention, is shown. Figure 7 A schematic diagram of an apparatus for evaluating the structural failure of a large crude oil storage tank based on multiple extreme operating conditions, according to an embodiment of the present invention, is shown. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] According to an embodiment of the present invention, a method for evaluating the structural failure of large crude oil storage tanks based on multiple extreme working conditions is proposed. By establishing a large-scale finite element full model, the collected working condition data is fitted into a load formula and applied to the tank model. After determining the tank boundary conditions, finite element solutions are performed, and the results of tank wall deformation are analyzed in a visualization interface to conduct failure analysis and generate a risk assessment report. This helps operators analyze the failure mechanism of the tank wall structure of large crude oil storage tanks based on the risk assessment report, and provides a certain theoretical basis for the safe operation of large crude oil storage tanks under the coupled effects of extreme working conditions.

[0021] The principles and spirit of the present invention will be explained in detail below with reference to several representative embodiments.

[0022] Figure 1 This is a schematic flowchart of a method for evaluating the structural failure of a large crude oil storage tank based on multiple extreme operating conditions, according to an embodiment of the present invention. The method includes: Step S01: Construct each part of the storage tank and assemble the components to obtain the full finite element model of the storage tank; Step S02: Set the element type of each component in the finite element method according to the actual material parameters of the storage tank; Step S03: Set up three analysis steps for analysis: apply the tank liquid gravity, the tank's own gravity and various boundary conditions to the tank model, analyze the tank wind load, snow load and uneven settlement load, and inherit the previous two analysis steps; Step S04: Determine the interrelationships between the components and mesh each component; Step S05: Fit the foundation settlement data, wind pressure distribution data, and snow pressure data into the non-uniform settlement formula, wind load formula, and snow load formula, and input them into the analytical field to create a load model, set boundary conditions, and combine loads of different sizes for the storage tank in the load manager. Step S06: Perform finite element analysis, extract deformation data of each component, and evaluate the safety of the tank wall structure based on the simulation results using the tank deformation evaluation standard.

[0023] It should be noted that although the operation of the method of the present invention has been described in a specific order in the above embodiments and figures, this does not require or imply that the operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

[0024] To provide a clearer explanation of the above-mentioned method for evaluating the structural failure of large crude oil storage tanks based on multiple extreme operating conditions, a specific embodiment will be used for illustration below. However, it is worth noting that this embodiment is only for better illustrating the present invention and does not constitute an improper limitation of the present invention.

[0025] The following example will further illustrate the method for evaluating the structural failure of large crude oil storage tanks based on multiple extreme operating conditions.

[0026] This embodiment uses 10×10 4 Take a m³ crude oil storage tank as an example.

[0027] Step S01: Use ABAQUS finite element software to construct each part of the storage tank and assemble the components to obtain the full finite element model of the storage tank.

[0028] In this embodiment, 10×10 4 The m³ crude oil storage tank consists of a foundation, bottom plate, tank wall, floating roof, windproof ring, and reinforcing ring. The material parameters of each layer of the tank wall and the materials used are shown in Table 1. The reinforcing ring, windproof ring, and floating roof are made of Q345R low-strength structural steel. The bottom plate is a composite component, with the middle plate made of Q235-B and the edge plate made of SPV490Q.

[0029] Table 1

[0030] Step S02: Set the element type of each component in the finite element method according to the actual material parameters of the storage tank.

[0031] In this embodiment, the tank wall, bottom plate (middle plate and edge plate), reinforcing ring, and windproof ring are all thin-shell structures, which are simulated using four-node curved thin-shell elements. The floating roof and support platform are simulated using three-dimensional eight-node solid elements. The properties of the materials, such as mass density, elastic modulus, and Poisson's ratio, can be edited in the attribute interface.

[0032] Step S03: Set up three analysis steps for analysis: apply the tank liquid gravity, the tank's own gravity and various boundary conditions to the tank model, analyze the tank wind load, snow load and uneven settlement load, and inherit the previous two analysis steps.

[0033] After completing the basic modeling and setting the material properties, analysis steps need to be set. Considering that this invention example includes multiple nonlinear analysis stages, such as tank liquid gravity load, external extreme loads, and various boundary condition constraints, three analysis steps are set for analysis. The first analysis step applies the tank liquid gravity, the tank's own gravity, and various boundary conditions to the tank model. The second analysis step analyzes the tank's wind load, snow load, and uneven settlement load. The third analysis step inherits from the above two analysis steps to avoid excessive loads that could lead to convergence difficulties due to a single loading. All three analysis steps are static and general, with a time length of 1, a maximum increment step of 100, an initial increment step of 1, and other settings remaining in their initial state. Setting multiple analysis steps in this way can significantly improve the stability and accuracy of the tank model calculation.

[0034] Step S04: Determine the interrelationships between the components and perform mesh generation on each component.

[0035] In this embodiment, the tank wall layers are bonded together using a tie, and the connection between the reinforcing ring and the windproof ring and the tank wall is also bonded together using a tie. However, the tank bottom plate and the foundation, as well as the floating roof and the tank wall, use Standard contact. In SecondaryAdjustment, the adjustment area is set to a tolerance of 0.02, while other settings remain at their default values. Furthermore, the properties of the Standard contact are set, with the tangential behavior set to penalized friction and the friction coefficient set to 0.2, the normal behavior set to "hard" contact, and the geometric properties remaining at their default values.

[0036] The number and size of elements on the edge of the component are set using an edge-seed method. The method is selected to seed by number, and the constraint setting does not allow changing the number of elements. A sweep method is used to create the mesh. The mesh generation diagram of this embodiment is shown below. Figure 2 As shown.

[0037] Step S05: Fit the foundation settlement data, wind pressure distribution data, and snow pressure data into the formulas for uneven settlement, wind load, and snow load, and input them into the analytical field to create a load model, set boundary conditions, and combine loads of different sizes for the storage tank in the finite element software ABAQUS load manager.

[0038] To evaluate the strength of the storage tank after applying loads, it is necessary to simulate the stress change cloud map and simulation data of each extreme load acting on the storage tank. Therefore, a series of load data need to be applied to the storage tank model. To make the simulation results more accurate, mathematical statistical analysis is used to fit the actual load data with formulas.

[0039] Specifically, the method for obtaining the formula for uneven settlement is as follows: First, obtain actual settlement data. Set up observation points at the bottom of the tank, using the center coordinates (x0, y0) as the reference point. Then determine the coordinates (x, y) of each observation point and the corresponding settlement amount S for each settlement point. Perform coordinate transformation and use polar coordinates to calculate the variation of the tank bottom settlement with direction and radius. Calculate the polar coordinates (r, θ) using the following formula: , , Where r is the distance from the settlement observation point to the center of the bottom of the tank, and θ is the angle of the settlement observation point.

[0040] Since the non-uniform settlement load is selected as asymmetric settlement, the settlement will vary with direction and distance, and the influence of angle needs to be considered. Therefore, when determining the settlement S, it is necessary to calculate the specific location of the observation point. Thus, the following formula can be used: .

[0041] Finally, the parameters of the above formula are solved, where X is the design matrix, with each row corresponding to a monitoring point, and Y is the response vector, corresponding to the value of settlement S(r,θ). The solution process is as follows: , , , in, The settlement load coefficient can be obtained from this.

[0042] Specifically, the method for obtaining the wind load formula is as follows: According to the "Code for Design of Building Structures" (GB50009-2012), the basic expression for the standard value of wind load is as follows:

[0043] in, This is the basic wind pressure (Pa). This is the wind pressure height variation coefficient. This is the body size coefficient. This is the wind vibration coefficient.

[0044] The basic wind pressure is determined according to the standard, using the local maximum wind speed data that occurs once every 50 years. The wind speed probability density is fitted using a Gumbel distribution to convert the wind speed into wind pressure. : , in, For air density, take the standard value of 1.25 kg / m³. This represents the highest average wind speed in the area, occurring once every 50 years (m / s).

[0045] Wind pressure height variation coefficient The surface roughness is determined according to the standard. The surface roughness of the storage tank is most similar to Class B landforms in the standard, and the calculation formula is as follows: , Where z is the maximum height of the storage tank (m).

[0046] Body type coefficient The shape coefficient of a single tank is determined by the "Code for Design of Building Structures" based on the building's plan shape, and can be determined according to the standard specification table. =0.75, but when multiple tanks are arranged side by side, considering the shading effect, the shape coefficient will decrease. =0.65.

[0047] Wind vibration coefficient It needs to be determined based on specifications such as structural dynamic characteristics and wind load pulsation characteristics. The specific formula is as follows: , Where g is the peak factor (usually taken as 2.5). R is the turbulence intensity at height h of the storage tank, which can be obtained from the specifications. R is the resonance component factor.

[0048] Finally, a terrain correction factor was added to the wind load formula. Compared to the formula in the standard, this makes the wind load formula applicable to different regional topographical environments, maintaining greater accuracy while making the formula more universally applicable. The formula is as follows: , This is the terrain correction factor.

[0049] Specifically, the method for obtaining the snow load formula is as follows: Snow load refers to the pressure of snow acting on a building surface. It is a live load involved in building structures and is related to many factors. Because the magnitude and distribution of snow load are affected by many factors, it is difficult to determine snow load using traditional mathematical statistical methods. Therefore, a semi-statistical method is used to determine snow load. The standard value expression for snow load is basically the same, as shown below: , in, The standard value for snow load is expressed in kN / m². Basic snow load, kN / m²; This is the snow distribution coefficient on the roof. The exposure coefficient of the site area; This is the structural importance coefficient; This is the heating coefficient.

[0050] The above-mentioned three extreme load formulas are input into the analytical field of the finite element software ABAQUS in different combinations to create load models and set boundary conditions. Figure 3 Table 2 shows the combined cases of various extreme operating conditions, illustrating the load application.

[0051] Table 2

[0052] In this invention, wind load acts as a non-uniformly distributed load on the tank wall, snow load acts on the floating roof, and settlement load acts on the bottom of the tank platform. It should be noted that in this invention, the loads acting on the tank are all extreme conditions. For example, extreme wind loads are generally hurricanes, typhoons, etc., and the maximum wind speed of the tank location over the past 50 to 100 years is taken. Extreme snow loads are generally severe weather such as blizzards, and the maximum snowfall over the past 50 to 100 years is taken with reference to the "Code for Design of Building Structures". The non-uniform settlement is referenced to API 650, where the maximum adjacent settlement difference is 33 mm. In the boundary condition settings, the circumferential and radial displacements of the lower surface of the tank platform are set to zero. The tank liquid acts on the tank bottom plate in the form of a uniformly distributed load. The hydrostatic pressure of the solution inside the tank acting on the tank wall is triangularly distributed on the inner wall of the tank, increasing from top to bottom.

[0053] Step S06: Perform finite element analysis, extract deformation data of each component, and evaluate the safety of the tank wall structure based on the simulation results using the tank deformation evaluation standard.

[0054] In this embodiment, the analysis is performed using the conditions of settlement + strong wind + liquid level load in working condition 2. After applying loads and setting boundary conditions to the storage tank, the wind force and liquid level are changed. By solving the finite element model, the overall radial displacement diagram of the storage tank is obtained as follows. Figure 4 As shown in the figure, and the radial displacement contour map of the tank wall are as follows: Figure 5 As shown.

[0055] After solving the finite element model, the maximum outward radial displacement point and the maximum inward radial displacement point at the same height of the tank wall are extracted. The radius tolerance of the tank wall can then be calculated. The radius tolerance is the maximum outward radial displacement *r* at the same height position of the tank. 外max - Maximum inward radial displacement r 内max The calculation formula is: In this embodiment, it is specifically ±95.25mm.

[0056] In working condition 2, different working conditions of varying sizes are combined. After finite element analysis, multiple paths are defined along the height direction of the outer tank wall, with the path spacing defined as the smallest cell. The r value along the entire height direction of each path is then extracted. 外max With r 内maxThen, by using the radius tolerance calculation formula, the radius tolerance data under different load combinations in working condition 2 in Table 3 can be obtained, and then it can be determined whether the tank wall structure has failed: Table 3

[0057] According to the evaluation criteria, for a large crude oil storage tank with a diameter of 80m, the radius tolerance shall not exceed 95.25mm. When the settlement of the storage tank reaches the critical value in the standard, and the wind force is level 6.8, the radius tolerance in the empty tank state exceeds the evaluation standard, and the tank wall reaches the failure standard. When the wind force reaches level 11, the tank wall deformation structure meets the evaluation criteria when the solution medium inside the tank exceeds 13.1m. When the wind force reaches level 17, the tank wall deformation degree meets the evaluation criteria when the solution inside the tank exceeds 16.8m.

[0058] In this invention, a finite element model of a 10×10⁴ m³ crude oil storage tank is constructed using actual tank structural parameters. Mathematical statistical methods are combined with standard tank construction methods to fit settlement, wind load, and snow load formulas, improving the accuracy and scientific validity of the finite element simulation. Furthermore, this invention provides an example of a method for evaluating the deformation and failure of large storage tank walls under extreme conditions. Based on extreme conditions, the load conditions of a 10×10⁴ m³ crude oil storage tank are analyzed to obtain the tank wall structure failure parameters under the corresponding load conditions. A tank risk assessment report is then generated, and further analysis is performed using tank strength evaluation standards. This allows operators to better analyze the failure and damage mechanisms of the tank wall structure under extreme conditions.

[0059] Based on the same inventive concept, this invention also proposes a device for evaluating the structural failure of large crude oil storage tanks under multiple extreme operating conditions. The implementation of this device can be referenced in the implementation of the method described above; repeated details will not be elaborated further. Figure 2 As shown, the device 100 includes: Tank Model Construction Module 101: Used to construct each part of the tank and assemble the components to obtain the full finite element model of the tank; Component type setting module 102: used to set the unit type of each component in the finite element method according to the actual material parameters of the storage tank; Analysis Step Module 103: Used to set up three analysis steps for analysis: analyzing the gravity of the liquid in the tank, the gravity of the tank itself, and various boundary conditions applied to the tank model; analyzing the wind load, snow load, and uneven settlement load of the tank; and inheriting the previous two analysis steps. Component Relationship Determination Module 104: Used to determine the interrelationships between various components and to perform mesh generation for each component; Load model creation module 105: used to fit foundation settlement data, wind pressure distribution data, and snow pressure data into non-uniform settlement formula, wind load formula, and snow load formula and input them into the analytical field to create a load model, set boundary conditions, and combine loads of different sizes for the storage tank in the load manager. Safety evaluation module 106: Used to perform finite element analysis, extract deformation data of each component, and evaluate the safety of the tank wall structure based on the simulation results using the tank deformation evaluation standard.

[0060] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the described module can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0061] like Figure 3 As shown, the device includes a central processing unit (CPU), which can perform various appropriate actions and processes based on computer program instructions stored in read-only memory (ROM) or loaded from storage units into random access memory (RAM). The RAM can also store various programs and data required for device operation. The CPU, ROM, and RAM are interconnected via a bus. Input / output (I / O) interfaces are also connected to the bus.

[0062] Multiple components in the device are connected to the I / O interface, including: input units such as keyboards and mice; output units such as various types of displays and speakers; storage units such as disks and optical discs; and communication units such as network interface cards (NICs), modems, and wireless transceivers. The communication unit allows the device to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0063] The processing unit executes the various methods and processes described above, such as method steps S01 to S06. For example, in some embodiments, method steps S01 to S06 may be implemented as a computer software program tangibly contained in a machine-readable medium, such as a storage unit. In some embodiments, part or all of the computer program may be loaded and / or installed on the device via ROM and / or a communication unit. When the computer program is loaded into RAM and executed by the CPU, one or more steps of method steps S01 to S06 described above may be performed. Alternatively, in other embodiments, the CPU may be configured to execute method steps S01 to S06 by any other suitable means (e.g., by means of firmware).

[0064] The functions described above in this document can be performed at least in part by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: field programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload programmable logic devices (CPLDs), and so on.

[0065] The program code used to implement the methods of the present invention can be written in any combination of one or more programming languages. This program code can be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code can be executed entirely on the machine, partially on the machine, as a standalone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0066] In the context of this invention, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0067] Furthermore, although the operations are described in a specific order, this should be understood as requiring that such operations be performed in the specific order shown or in sequential order, or requiring that all illustrated operations be performed to achieve the desired result. In certain environments, multitasking and parallel processing may be advantageous. Similarly, although several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the invention. Certain features described in the context of individual embodiments may also be implemented in combination in a single implementation. Conversely, various features described in the context of a single implementation may also be implemented individually or in any suitable sub-combination in multiple implementations.

[0068] Although the subject matter has been described using language specific to structural features and / or methodological logic, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. Rather, the specific features and actions described above are merely illustrative examples of implementing the claims.

Claims

1. A method for evaluating structural failure of a large crude oil storage tank based on multiple extreme working conditions, characterized in that, The method comprises: Step S01: constructing each part of the storage tank and assembling each component to obtain a full finite element model of the storage tank; Step S02: setting the unit types of each component in the finite element according to the actual material parameters of the storage tank; Step S03: setting three analysis steps: applying the liquid gravity of the tank, the self-gravity of the storage tank and each boundary condition to the storage tank model, analyzing the wind load, snow load and uneven settlement load of the storage tank, and inheriting the two preceding analysis steps; Step S04: determining the mutual relationship between each component and meshing each component; Step S05: fitting the foundation settlement data, wind pressure distribution data and snow pressure data into uneven settlement formulas, wind load formulas and snow load formulas and inputting them into the analysis field to create a load model, setting boundary conditions, and combining different sizes of loads in the load manager to apply to the storage tank; Step S06: performing finite element solving, extracting deformation data of each component, and evaluating the safety of the tank wall structure according to the deformation evaluation standard of the storage tank.

2. The method for evaluating structural failure of a large crude oil storage tank based on a plurality of extreme working conditions according to claim 1, characterized in that, The components in step S01 include: a bearing platform, a bottom plate, a tank wall, a floating roof, a wind shield, and a reinforcing ring.

3. The method for evaluating structural failure of a large crude oil storage tank based on multiple extreme working conditions according to claim 2, characterized in that, The tank wall, the bottom plate, the reinforcing ring, and the wind shield are all thin shell structures, which are simulated by four-node curved thin shell elements; the floating roof and the bearing platform are simulated by three-dimensional 8-node solid elements.

4. The method for evaluating structural failure of a large crude oil storage tank based on a plurality of extreme working conditions according to claim 1, characterized in that, In step S04, the mutual relationship between each component is determined as follows: the layers of the tank wall are bound by tie, the connection relationship between the reinforcing ring, the wind shield and the tank wall is bound by tie, and the bottom plate and the bearing platform, and the floating roof and the tank wall are connected by Standard contact.

5. The method for evaluating structural failure of a large crude oil storage tank based on multiple extreme working conditions according to claim 1, wherein, The uneven settlement formula described in step S05 is: S(r) = a + b r + c r2+ d r3+ e r4 where S(r) is the settlement amount, r is the radial distance, the distance from the monitoring point to the center of the storage tank; is the settlement observation point angle; a, b, c, d, e are parameters to be solved.

6. The method for evaluating structural failure of a large crude oil storage tank based on multiple extreme working conditions according to claim 1, wherein, The wind load formula described in step S05 is: wherein, is a terrain correction factor, g is a peak factor, is a turbulence intensity at the height h of the storage tank, is a wind pressure height variation factor, R is a resonance component factor, and z is a limit height of the storage tank, is a maximum average wind speed of 50 years per occurrence in the local area (m / s).

7. The method for evaluating structural failure of a large crude oil storage tank based on multiple extreme working conditions according to claim 1, wherein, The snow load formula described in step S05 is: wherein, is a standard value of snow load, is a basic snow pressure, is a roof area snow distribution coefficient, is a site exposure coefficient, is a structure importance coefficient, is a heating coefficient.

8. A device for evaluating structural failure of a large crude oil storage tank based on multiple extreme working conditions, characterized by, The device implements the method of any one of claims 1-7, comprising: a storage tank model construction module for constructing each part of the storage tank and assembling each component to obtain a full finite element model of the storage tank; a component type setting module for setting the unit types of each component in the finite element according to the actual material parameters of the storage tank; an analysis step module for setting three analysis steps: applying the liquid gravity of the tank, the self-gravity of the storage tank and each boundary condition to the storage tank model, analyzing the wind load, snow load and uneven settlement load of the storage tank, and inheriting the two preceding analysis steps; a component relationship determination module for determining the mutual relationship between each component and meshing each component; a load model creation module for fitting the foundation settlement data, wind pressure distribution data and snow pressure data into uneven settlement formulas, wind load formulas and snow load formulas and inputting them into the analysis field to create a load model, setting boundary conditions, and combining different sizes of loads in the load manager to apply to the storage tank; a safety evaluation module for performing finite element solving, extracting deformation data of each component, and evaluating the safety of the tank wall structure according to the deformation evaluation standard of the storage tank.

9. An electronic device comprising a memory and a processor, said memory having stored thereon a computer program, characterized in that, The processor executes the program to implement the method of any one of claims 1-7.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the method of any one of claims 1-7.

Images