Method, apparatus and equipment for determining parameters of molten salt storage tank in solar thermal power station

Abstract

The present invention provides a method, device and equipment for determining the parameters of a molten salt storage tank in a solar thermal power station. The method for determining the parameters of the molten salt storage tank in the solar thermal power station includes: determining an initial geometric model of the molten salt storage tank, where the initial geometric model is a structural model of the tank top, tank wall, tank bottom, stiffeners and foundation of the molten salt storage tank; preprocessing the initial geometric model to obtain a target geometric model; performing a mid-surface extraction process on the target geometric model to obtain a first numerical model; performing a beam extraction process on the first numerical model to obtain a second numerical model; obtaining a target numerical model according to the second numerical model and a preset contact relationship; and obtaining the stress parameters of the molten salt storage tank according to the target numerical model, constraint conditions and applied stress loads. The solution of the present invention can provide a means for evaluating the strength of the molten salt storage tank under the combined action of mechanical external force and temperature load, and improve the reliability and safety of the molten salt storage tank.

Description

Technical Field

[0001] The present invention relates to the technical field of molten salt storage tank applications, and particularly to a method, device, and equipment for determining parameters of a molten salt storage tank in a solar thermal power station. Background Art

[0002] A solar thermal power station mainly consists of parts such as heat collection, heat exchange, energy storage, and steam turbine power generation. Among them, the energy storage part is the key to overcoming the volatility of solar power generation and achieving efficient and stable power output. As the core equipment in the energy storage part, the safety of the molten salt storage tank is related to the stable operation and long-term benefits of the entire power generation system. The working environment and stress conditions of the molten salt storage tank are relatively complex. Generally, the working temperature of the molten salt storage tank is about 565°C. During operation, the molten salt storage tank is not only affected by various external loads such as liquid column static pressure, self-weight, fixed live load, wind load, and seismic load, but also affected by temperature load. The molten salt storage tank is large in size and complex in structure. The diameter of the storage tank equipped in a large-scale solar thermal power station generally exceeds 20m, and some ultra-large solar thermal power stations are equipped with storage tanks with a diameter even exceeding 40m. The conditions required for experiments are extremely harsh. It is impossible to verify its strength through experiments, whether from a technical level or from the perspective of practical operation feasibility. At present, there is a lack of certain strength checking methods and thermal stress evaluation means for the molten salt storage tank under the combined action of mechanical external force and temperature load. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a method, device, and equipment for determining parameters of a molten salt storage tank in a solar thermal power station, which can provide means for evaluating the strength of the molten salt storage tank under the combined action of mechanical external force and temperature load, and improve the reliability and safety of the molten salt storage tank.

[0004] To solve the above technical problem, the technical solution of the present invention is as follows:

[0005] A method for determining parameters of a molten salt storage tank in a solar thermal power station includes:

[0006] Determine the initial geometric model of the molten salt storage tank, where the initial geometric model is the structural model of the tank top, tank wall, tank bottom, stiffeners, and foundation of the molten salt storage tank;

[0007] Perform preprocessing on the initial geometric model to obtain a target geometric model;

[0008] Perform mid-surface extraction processing on the target geometric model to obtain a first numerical model;

[0009] Perform beam extraction processing on the first numerical model to obtain a second numerical model;

[0010] Obtain a target numerical model according to the second numerical model and a preset contact relationship;

[0011] Based on the target numerical model, constraint conditions, and applied stress loads, stress parameters of the molten salt storage tank are obtained.

[0012] Optionally, preprocess the initial geometric model to obtain a target geometric model, including:

[0013] Clean the free edges and repetitive surfaces of the initial geometric model to obtain a revised geometric model;

[0014] Repair the defects of the revised geometric model to obtain a target geometric model.

[0015] Optionally, perform a mid-surface extraction process on the target geometric model to obtain a first numerical model, including:

[0016] Obtain a reference surface based on the target geometric model;

[0017] Offset the reference surface by a preset distance to obtain a mid-surface model;

[0018] Perform mesh division on the mid-surface model to obtain a mid-surface division result;

[0019] Configure mid-surface parameters for the mid-surface division result according to at least one of the elastic modulus, Poisson's ratio, density, linear thermal expansion coefficient, and thermal conductivity of a preset material to obtain a first numerical model.

[0020] Optionally, perform a beam extraction process on the first numerical model to obtain a second numerical model, including:

[0021] Obtain a beam structure based on the first numerical model;

[0022] Set the cross-sectional properties of the beam structure to obtain a beam structure model;

[0023] Perform mesh division on the beam structure model to obtain a beam division result;

[0024] Configure beam parameters for the beam division result according to at least one of the elastic modulus, Poisson's ratio, density, linear thermal expansion coefficient, and thermal conductivity of a preset material to obtain a second numerical model.

[0025] Optionally, obtain a target numerical model based on the second numerical model and a preset contact relationship, including:

[0026] Obtain the contact surfaces in the second numerical model;

[0027] Obtain a target numerical model according to the contact surface type and contact attributes of the preset contact surfaces.

[0028] Optionally, preset the contact surface type between the middle surfaces as surface-to-surface contact, the contact surface type between the beams as edge-to-edge contact, and the contact surface type between the middle surface and the beam as surface-to-edge contact.

[0029] Optionally, according to the target numerical model, constraint conditions, and applied stress load, stress parameters of the molten salt storage tank are obtained, including:

[0030] Apply a temperature load to the target numerical model to obtain a temperature distribution field;

[0031] Apply a mechanical load to the temperature distribution field to obtain a mechanical distribution field;

[0032] Process the mechanical distribution field according to the constraint conditions to obtain the stress parameters of the molten salt storage tank.

[0033] An embodiment of the present invention further provides a computing device, including:

[0034] One or more processors;

[0035] A storage device for storing one or more programs, which when executed by the one or more processors, cause the one or more processors to implement the method for determining parameters of a molten salt storage tank of a solar thermal power station according to the present invention.

[0036] An embodiment of the present invention further provides a computer-readable storage medium, in which a program is stored, and when the program is executed by a processor, it implements the method for determining parameters of a molten salt storage tank of a solar thermal power station according to the present invention.

[0037] The above technical solution of the present invention has at least the following technical effects:

[0038] The above method for determining parameters of a molten salt storage tank of a solar thermal power station according to the present invention determines an initial geometric model of the molten salt storage tank, where the initial geometric model is a structural model of the tank top, tank wall, tank bottom, stiffeners, and foundation of the molten salt storage tank; preprocesses the initial geometric model to obtain a target geometric model; performs a middle surface extraction process on the target geometric model to obtain a first numerical model; performs a beam extraction process on the first numerical model to obtain a second numerical model; obtains a target numerical model according to the second numerical model and a preset contact relationship; and obtains stress parameters of the molten salt storage tank according to the target numerical model, constraint conditions, and applied stress load. It can provide a means for evaluating the strength of the molten salt storage tank under the combined action of mechanical external forces and temperature loads, and improve the reliability and safety of the molten salt storage tank. Description of the Drawings

[0039] Figure 1 is a schematic diagram of the method for determining parameters of a molten salt storage tank of a solar thermal power station according to the present invention;

[0040] Figure 2 It is a schematic diagram of the device for determining the parameters of the molten salt storage tank of the solar thermal power station of the present invention. Detailed implementation manners

[0041] Hereinafter, exemplary embodiments of the present invention will be described in more detail with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present invention can be more thoroughly understood and the scope of the present invention can be fully conveyed to those skilled in the art.

[0042] As Figure 1 shown, an embodiment of the present invention provides a method for determining the parameters of a molten salt storage tank of a solar thermal power station, including:

[0043] Step S1, determining an initial geometric model of the molten salt storage tank, where the initial geometric model is a structural model of the tank top, tank wall, tank bottom, stiffening ribs and foundation of the molten salt storage tank;

[0044] Step S2, preprocessing the initial geometric model to obtain a target geometric model;

[0045] Step S3, performing a mid-surface extraction process on the target geometric model to obtain a first numerical model;

[0046] Step S4, performing a beam extraction process on the first numerical model to obtain a second numerical model;

[0047] Step S5, obtaining a target numerical model according to the second numerical model and a preset contact relationship;

[0048] Step S6, obtaining the stress parameters of the molten salt storage tank according to the target numerical model, constraint conditions and applied stress loads.

[0049] In this embodiment, as Figure 1As shown in the figure, when performing numerical simulation of the molten salt storage tank, first, a three-dimensional geometric model is established based on the design drawings of the molten salt storage tank. When establishing the geometric model, necessary simplifications, changes, and treatments are made to the shape and size according to the specific characteristics of the object. The three-dimensional model of the molten salt storage tank includes: the tank top, the tank wall, the tank bottom, the foundation, and the stiffeners. Among them, the tank wall is composed of five plates with different thicknesses, and the thickness changes in a stepped manner along the height; the tank bottom is composed of three plates with different thicknesses, and the thickness gradually decreases towards the center of the circle. Since the molten salt storage tank has a symmetric structure, load, and constraint, in order to reduce the calculation amount and speed up the solution speed, when establishing the geometric model, 1 / 4 of the molten salt storage tank structure is selected for modeling; then, the initial geometric model is preprocessed to make the geometric model closer to the real state of the molten salt storage tank, and the target geometric model is obtained; again, since the molten salt storage tank has a large thickness-to-diameter ratio and belongs to a typical thin-walled structure, during the simulation, the mid-surface extraction process is performed on the three typical thin-walled structures of the tank wall, the tank top, and the tank bottom to obtain the first numerical model; then, on the basis of the first numerical model, the beam extraction process is performed on the stiffeners at the top of the tank top to obtain the second numerical model; then, on the basis of the second numerical model, the contact points between the tank body and the outside, as well as the contact relationships between the tank body components, are set to obtain the target numerical model; finally, the constraint conditions for the operation of the tank body are set, mechanical loads and thermal loads and other stress loads are applied, and according to the target numerical model, the stress parameters of the molten salt storage tank are obtained.

[0050] In an optional embodiment of the present invention, in step S2, preprocessing the initial geometric model to obtain a target geometric model includes:

[0051] Step S21, cleaning the free edges and repeated surfaces of the initial geometric model to obtain a revised geometric model;

[0052] Step S22, repairing the defects of the revised geometric model to obtain the target geometric model.

[0053] In this embodiment, when preprocessing the initial geometric model, first, the free edges and repeated surfaces of the initial geometric model are cleaned. Specifically, the global element size is determined by the model size and the scaling factor, and the geometric cleaning tolerance is determined according to the global element size. This tolerance sets the maximum gap that the geometric cleaning tool can merge to ensure that no mesh distortion occurs. Next, the topology display is used to determine the parts that need geometric cleaning, and the free edges are merged under the condition that the surface does not degenerate. Next, the repeated surfaces in the geometric model are checked and deleted to obtain the revised geometric model; then, the defects of the revised geometric model are repaired. Specifically, the defects of the geometric model are checked to obtain the types and quantities of the defects. Next, the adjacent vertices and curves in the defects are stitched within the tolerance range, the missing surfaces in the model are repaired, and finally, the repair effect is checked to ensure that the quality of the repaired model meets the requirements.

[0054] In an alternative embodiment of the present invention, in step S3, performing a mid-surface extraction process on the target geometric model to obtain a first numerical model, including:

[0055] Step S31, obtaining a reference surface according to the target geometric model;

[0056] Step S32, offsetting the reference surface by a preset distance to obtain a mid-surface model;

[0057] Step S33, performing mesh division on the mid-surface model to obtain a mid-surface division result;

[0058] Step S34, performing mid-surface parameter configuration on the mid-surface division result according to at least one of the elastic modulus, Poisson's ratio, density, linear thermal expansion coefficient, and thermal conductivity of a preset material to obtain a first numerical model.

[0059] In this embodiment, when performing a mid-surface extraction process on the target geometric model, first select a surface with better surface quality in the target geometric model as the reference surface, then set the preset distance for offsetting, and offset the reference surface according to the preset distance so that the mid-surface can accurately reflect the geometric shape of the storage tank to obtain a mid-surface model; secondly, according to the analysis requirements and accuracy requirements, select a suitable mesh type and size, perform mesh division on the generated mid-surface model, and ensure that there are no deformed meshes or missing meshes during the mesh division process. Finally, according to the material composition of the storage tank, set parameters such as the elastic modulus, Poisson's ratio, density, linear thermal expansion coefficient, and thermal conductivity of the mid-surface material in the model to obtain a first numerical model.

[0060] In an alternative embodiment of the present invention, in step S4, performing a beam extraction process on the first numerical model to obtain a second numerical model, including:

[0061] Step S41, obtaining a beam structure according to the first numerical model;

[0062] Step S42, setting the cross-sectional properties of the beam structure to obtain a beam structure model;

[0063] Step S43, performing mesh division on the beam structure model to obtain a beam division result;

[0064] Step S44, performing beam parameter configuration on the beam division result according to at least one of the elastic modulus, Poisson's ratio, density, linear thermal expansion coefficient, and thermal conductivity of a preset material to obtain a second numerical model.

[0065] In this embodiment, beam extraction processing is performed on the first numerical model. The beam structure has a long strip feature and mainly bears loads such as axial tension and compression, bending, and torsion. First, according to the beam structure characteristics, the part that needs to be extracted as the beam structure is identified from the first numerical model. Specifically, the stiffeners at the top of the storage tank are used as the beam structure. Then, the cross-sectional properties of the extracted beam structure are defined. The cross-sectional properties include the cross-sectional shape, such as rectangular, circular, etc., and the dimensions, such as width, height, etc. Secondly, according to the analysis requirements and accuracy requirements, a suitable mesh type and size are selected, and mesh division is performed on the generated beam structure model. During the mesh division process, it is ensured that there are no deformed meshes or missing meshes. Finally, according to the material composition of the storage tank, parameters such as the elastic modulus, Poisson's ratio, density, linear thermal expansion coefficient, and thermal conductivity of the beam structure material are set in the model to obtain the second numerical model.

[0066] In an alternative embodiment of the present invention, in step S5, according to the second numerical model and the preset contact relationship, a target numerical model is obtained, including:

[0067] Step S51, obtain the contact surface in the second numerical model;

[0068] Step S52, according to the preset contact surface type and contact attribute of the contact surface, obtain the target numerical model.

[0069] In this embodiment, the contact relationships of the molten salt storage tank model are set. First, all the surfaces that may come into contact with each other in the model are identified. These surfaces can be the surfaces of rigid bodies or flexible bodies. Then, according to the geometric characteristics and mechanical behaviors of the contact surfaces, appropriate contact surface types and contact properties are selected. The contact surface types include: surface-to-surface contact, surface-to-edge contact, and edge-to-edge contact. Among the two contact surfaces in contact with each other, a master surface and a slave surface are selected. The surface with greater stiffness or the analytical surface is taken as the master surface, and the surface on the flexible body is taken as the slave surface. If the stiffness of the two contact surfaces is similar, the surface with coarser mesh is selected as the master surface. According to the relative sliding situation of the contact surfaces, finite sliding or small sliding is determined. Finite sliding allows arbitrary relative sliding between the two contact surfaces, while small sliding assumes that there is only a very small relative sliding between the two contact surfaces, and the magnitude of the sliding amount is only a small part of the element size. The position of the slave surface is adjusted as needed to ensure its correct contact with the master surface. In this embodiment, the contact surface type between the mid-surfaces is preset as surface-to-surface contact, the contact surface type between the beams is preset as edge-to-edge contact, and the contact surface type between the mid-surface and the beam is preset as surface-to-edge contact. The contact properties usually include normal contact properties and tangential friction properties. The normal contact properties are generally hard contact, indicating that the magnitude of the contact pressure that can be transmitted between the contact surfaces is not restricted. When the contact pressure becomes zero or negative, it indicates that the contact surfaces are in a separated state. The tangential friction property generally defines the magnitude of the resistance when relative sliding occurs between the contact surfaces. Specifically, the contact relationship type between the bottom of the storage tank and the foundation is set as tangential friction contact, and the contact between the various components of the storage tank is set as normal contact property;

[0070] In an alternative embodiment of the present invention, in step S6, according to the target numerical model, the constraint conditions, and the applied stress load, the stress parameters of the molten salt storage tank are obtained, including:

[0071] Step S61, apply a temperature load on the target numerical model to obtain a temperature distribution field;

[0072] Step S62, apply a mechanical load on the temperature distribution field to obtain a mechanical distribution field;

[0073] Step S63, process the mechanical distribution field according to the constraint conditions to obtain the stress parameters of the molten salt storage tank.

[0074] In this embodiment, on the already established target numerical model, first, a temperature load is applied according to the design requirements, the temperature field is calculated, and the temperature distribution field of each component of the molten salt storage tank is obtained. Then, based on the temperature distribution field, a mechanical load is applied according to the design requirements to obtain a mechanical distribution field. Finally, in combination with the preset constraint conditions, the mechanical distribution field is processed to obtain the stress parameters of the molten salt storage tank.

[0075] Specific methods for determining the parameters of the molten salt storage tank of a solar thermal power plant can be seen in the following embodiments:

[0076] Taking an actual large-scale molten salt storage tank under construction as the research object, a model is established. The entire model includes three parts: the tank top, the tank body, and the tank wall. The molten salt storage tank has a diameter of 44m and a height of 19m. The tank wall of the storage tank is divided into five layers along the height direction, and the thickness changes in a stepped manner along the height. The bottom plate of the storage tank consists of three plates with different thicknesses, and the thickness gradually decreases towards the center of the circle. Since the molten salt storage tank has a symmetric structure, load, and constraint, in order to reduce the computational amount and accelerate the solution accuracy, when establishing the finite element model, 1 / 4 of the storage tank structure is selected for modeling. Since the molten salt storage tank has a large thickness-to-diameter ratio and belongs to a typical thin-walled structure, when modeling, beam extraction is performed on the three typical thin-walled structures of the tank wall, the tank top, and the tank bottom. Then, mid-plane extraction is performed on the model.

[0077] The material of the storage tank is 347H stainless steel. 347H stainless steel has excellent high-temperature heat resistance and is especially suitable for high-temperature working environments. The material parameters of 347H stainless steel are shown in Table 1.

[0078] Table 1 Material parameters of 347H stainless steel

[0079]

[0080]

[0081] The contact between the bottom of the tank and the foundation is set as tangential friction contact, and the friction coefficient is set to 0.3. The contact between the various components of the storage tank is set as normal contact property.

[0082] The shell element is used for mesh division of the tank wall, the tank top, and the tank bottom, and the solid element is used for mesh division of the foundation and the large fillet weld.

[0083] In the finite element analysis, the mechanical load and thermal load acting on the storage tank are considered. The dangerous working condition is self-weight + liquid hydrostatic pressure + design internal pressure + temperature load. Among them, the self-weight is realized by applying the global gravitational acceleration; the liquid hydrostatic pressure is applied to the tank wall. The density of the molten salt is 1728 kg / m 3 , the height of the molten salt is 14m, the design internal pressure is 2 kPa, and it is applied to all the wall surfaces of the tank body, the tank top, and the tank bottom; the temperature load is applied to the tank body, the tank top, and the tank bottom, and the temperature is set to 565 °C.

[0084] Full constraints are set at the bottom surface of the foundation to restrict its degrees of freedom of movement and rotation; symmetric constraints are set on the two 1 / 4 surfaces of the storage tank.

[0085] For the simulation result of the tank top, the maximum equivalent stress of the tank top is 83.308 MPa, which is less than the allowable stress of 130.5 MPa of the 347H material. Therefore, the tank top meets the strength requirements under this dangerous working condition.

[0086] The simulation results of the tank body show that the maximum equivalent stress of the tank body is 114.24 MPa, which is less than the allowable stress of 130.5 MPa of the 347H material. Therefore, the tank body meets the strength requirements under this dangerous working condition.

[0087] The simulation results of the tank bottom show that the maximum equivalent stress of the tank bottom is 105.37 MPa, which is less than the allowable stress of 130.5 MPa of the 347H material. Therefore, the tank bottom meets the strength requirements under this dangerous working condition.

[0088] As Figure 2 shown, an embodiment of the present invention also provides a device 20 for determining parameters of a molten salt storage tank of a solar thermal power station, including:

[0089] An acquisition module 21, configured to acquire an initial geometric model of the molten salt storage tank, where the initial geometric model is a structural model of the tank top, tank wall, tank bottom, stiffening ribs, and foundation of the molten salt storage tank;

[0090] A processing module 22, configured to preprocess the initial geometric model to obtain a target geometric model; perform a mid-surface extraction process on the target geometric model to obtain a first numerical model; perform a beam extraction process on the first numerical model to obtain a second numerical model; obtain a target numerical model according to the second numerical model and a preset contact relationship; and obtain stress parameters of the molten salt storage tank according to the target numerical model, constraint conditions, and applied stress loads.

[0091] Optionally, preprocessing the initial geometric model to obtain a target geometric model includes: cleaning free edges and repeated surfaces of the initial geometric model to obtain a revised geometric model; and repairing defects of the revised geometric model to obtain a target geometric model.

[0092] Optionally, performing a mid-surface extraction process on the target geometric model to obtain a first numerical model includes: obtaining a reference plane according to the target geometric model; offsetting the reference plane by a preset distance to obtain a mid-surface model; performing mesh division on the mid-surface model to obtain a mid-surface division result; and configuring mid-surface parameters for the mid-surface division result according to at least one of the elastic modulus, Poisson's ratio, density, linear thermal expansion coefficient, and thermal conductivity of a preset material to obtain a first numerical model.

[0093] Optionally, performing a beam extraction process on the first numerical model to obtain a second numerical model includes: obtaining a beam structure according to the first numerical model; setting section attributes of the beam structure to obtain a beam structure model; performing mesh division on the beam structure model to obtain a beam division result; and configuring beam parameters for the beam division result according to at least one of the elastic modulus, Poisson's ratio, density, linear thermal expansion coefficient, and thermal conductivity of a preset material to obtain a second numerical model.

[0094] Optionally, according to the second numerical model and a preset contact relationship, a target numerical model is obtained, including: obtaining a contact surface in the second numerical model; and obtaining a target numerical model according to a contact surface type and contact property of the preset contact surface.

[0095] Optionally, the contact surface type between mid-planes is preset as surface-to-surface contact, the contact surface type between beams is preset as edge-to-edge contact, and the contact surface type between a mid-plane and a beam is preset as surface-to-edge contact.

[0096] Optionally, according to the target numerical model, constraint conditions, and applied stress load, stress parameters of the molten salt storage tank are obtained, including: applying a temperature load to the target numerical model to obtain a temperature distribution field; applying a mechanical load to the temperature distribution field to obtain a mechanical distribution field; and processing the mechanical distribution field according to the constraint conditions to obtain stress parameters of the molten salt storage tank.

[0097] An embodiment of the present invention further provides a computing device, including:

[0098] One or more processors;

[0099] A storage device for storing one or more programs, which when executed by the one or more processors, cause the one or more processors to implement the method for determining parameters of a molten salt storage tank of a solar thermal power station according to the present invention. All implementation manners in the above method embodiments are applicable to the embodiments of this device and can achieve the same technical effects.

[0100] An embodiment of the present invention further provides a computer-readable storage medium, in which a program is stored, and when the program is executed by a processor, it implements the method for determining parameters of a molten salt storage tank of a solar thermal power station according to the present invention. All implementation manners in the above method embodiments are applicable to the embodiments of this computer-readable storage medium and can achieve the same technical effects.

[0101] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. A professional technician can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0102] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described systems, devices, and units can refer to the corresponding processes in the foregoing method embodiments and will not be described herein again.

[0103] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of devices or units can be in electrical, mechanical or other forms.

[0104] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0105] In addition, in each embodiment of the present invention, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0106] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in each embodiment of the present invention. And the aforementioned storage medium includes: USB flash drives, mobile hard disks, ROM, RAM, magnetic disks, or optical discs and other various media that can store program codes.

[0107] In addition, it should be noted that in the device and method of the present invention, obviously, each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations shall be regarded as equivalent solutions of the present invention. Moreover, the steps of performing the above series of processes can naturally be executed in chronological order according to the described order, but it is not necessary to be executed in chronological order. Some steps can be executed in parallel or independently of each other. For those of ordinary skill in the art, it can be understood that all or any steps or components of the method and device of the present invention can be implemented in any computing device (including a processor, a storage medium, etc.) or a network of computing devices in the form of hardware, firmware, software, or a combination thereof, which can be achieved by those of ordinary skill in the art using their basic programming skills after reading the description of the present invention.

[0108] Therefore, the object of the present invention can also be achieved by running a program or a set of programs on any computing device. The computing device can be a well-known general-purpose device. Therefore, the object of the present invention can also be achieved only by providing a program product containing program code for implementing the method or device. That is to say, such a program product also constitutes the present invention, and a storage medium storing such a program product also constitutes the present invention. Obviously, the storage medium can be any well-known storage medium or any storage medium developed in the future. It should also be noted that in the device and method of the present invention, obviously, each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations shall be regarded as equivalent solutions of the present invention. Moreover, the steps of performing the above series of processes can naturally be executed in chronological order according to the described order, but it is not necessary to be executed in chronological order. Some steps can be executed in parallel or independently of each other.

[0109] The above are the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle described in the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A method for determining the parameters of a molten salt storage tank in a solar thermal power station, characterized in that Including: Determine the initial geometric model of the molten salt storage tank, where the initial geometric model is the structural model of the tank top, tank wall, tank bottom, stiffeners and foundation of the molten salt storage tank; Preprocess the initial geometric model to obtain a target geometric model; Perform mid-surface extraction on the target geometric model to obtain a first numerical model; Perform beam extraction on the first numerical model to obtain a second numerical model; Obtain a target numerical model according to the second numerical model and a preset contact relationship; Obtain the stress parameters of the molten salt storage tank according to the target numerical model, constraint conditions and applied stress loads; Among them, performing mid-surface extraction on the target geometric model to obtain a first numerical model includes: Obtain a reference plane according to the target geometric model; Offset the reference plane by a preset distance to obtain a mid-surface model; Perform mesh division on the mid-surface model to obtain a mid-surface division result; Configure mid-surface parameters for the mid-surface division result according to at least one of the elastic modulus, Poisson's ratio, density, linear thermal expansion coefficient and thermal conductivity of a preset material to obtain a first numerical model; Among them, performing beam extraction on the first numerical model to obtain a second numerical model includes: Obtain a beam structure according to the first numerical model; Set the section properties of the beam structure to obtain a beam structure model; Perform mesh division on the beam structure model to obtain a beam division result; Configure beam parameters for the beam division result according to at least one of the elastic modulus, Poisson's ratio, density, linear thermal expansion coefficient and thermal conductivity of a preset material to obtain a second numerical model; Among them, obtaining a target numerical model according to the second numerical model and a preset contact relationship includes: Obtain the contact surfaces in the second numerical model; Obtain a target numerical model according to the contact surface type and contact properties of the preset contact surfaces.

2. The method for determining the molten salt storage tank parameters of a solar thermal power station according to claim 1, wherein Preprocessing the initial geometric model to obtain a target geometric model includes: Clean the free edges and repeated surfaces of the initial geometric model to obtain a revised geometric model; Repair the defects of the revised geometric model to obtain a target geometric model.

3. The method for determining the molten salt storage tank parameters of a solar thermal power station according to claim 1, characterized in that, Preset the contact surface type between mid-surfaces as surface-to-surface contact, the contact surface type between beams as edge-to-edge contact, and the contact surface type between mid-surfaces and beams as surface-to-edge contact.

4. The method for determining the molten salt storage tank parameters of a solar thermal power station according to claim 1, characterized in that, Obtaining the stress parameters of the molten salt storage tank according to the target numerical model, constraint conditions and applied stress loads includes: Apply a temperature load on the target numerical model to obtain a temperature distribution field; Apply a mechanical load on the temperature distribution field to obtain a mechanical distribution field; Process the mechanical distribution field according to the constraint conditions to obtain the stress parameters of the molten salt storage tank.

5. A device for determining parameters of a molten salt storage tank in a solar thermal power station, characterized in that, Including: An acquisition module for acquiring the initial geometric model of the molten salt storage tank, where the initial geometric model is the structural model of the tank top, tank wall, tank bottom, stiffeners and foundation of the molten salt storage tank; A processing module for preprocessing the initial geometric model to obtain a target geometric model; performing mid-surface extraction on the target geometric model to obtain a first numerical model; performing beam extraction on the first numerical model to obtain a second numerical model; obtaining a target numerical model according to the second numerical model and a preset contact relationship; and obtaining stress parameters of the molten salt storage tank according to the target numerical model, constraint conditions, and applied stress loads. Wherein, performing mid-surface extraction on the target geometric model to obtain a first numerical model includes: Obtaining a reference surface according to the target geometric model; Offsetting the reference surface by a preset distance to obtain a mid-surface model; Performing mesh division on the mid-surface model to obtain a mid-surface division result; Configuring mid-surface parameters for the mid-surface division result according to at least one of the elastic modulus, Poisson's ratio, density, linear thermal expansion coefficient, and thermal conductivity of a preset material to obtain a first numerical model; Wherein, performing beam extraction on the first numerical model to obtain a second numerical model includes: Obtaining a beam structure according to the first numerical model; Setting the cross-sectional attributes of the beam structure to obtain a beam structure model; Performing mesh division on the beam structure model to obtain a beam division result; Configuring beam parameters for the beam division result according to at least one of the elastic modulus, Poisson's ratio, density, linear thermal expansion coefficient, and thermal conductivity of a preset material to obtain a second numerical model; Wherein, obtaining a target numerical model according to the second numerical model and a preset contact relationship includes: Obtaining the contact surfaces in the second numerical model; Obtaining a target numerical model according to the contact surface type and contact attributes of the preset contact surfaces.

6. A computing device, characterized in that, Including: One or more processors; A storage device for storing one or more programs, which when executed by the one or more processors, cause the one or more processors to implement the method according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that, A program is stored in the computer-readable storage medium, and when the program is executed by a processor, the method according to any one of claims 1 to 4 is implemented.

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