Method, device and equipment for determining parameters of fused salt storage tank of solar photo-thermal power station

Abstract

The invention provides a method, device and equipment for determining parameters of a fused salt storage tank of a solar photo-thermal power plant, and the method comprises the steps: determining an initial geometric model of the fused salt storage tank, the initial geometric model being a structural model of the top, wall, bottom, reinforcing ribs and foundation of the fused salt storage tank; preprocessing the initial geometric model to obtain a target geometric model; performing mid-plane extraction processing on the target geometric model to obtain a first numerical model; performing beam extraction processing 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 fused salt storage tank according to the target numerical model, the constraint condition and the applied stress load. According to the scheme, a means can be provided for evaluating the strength of the fused salt storage tank under the working condition of the combined action of the mechanical external force and the temperature load, and the reliability and safety of the fused salt storage tank are improved.

Description

Technical Field

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

[0002] The solar thermal power station is mainly composed of heat collection, heat exchange, heat storage and steam turbine power generation. The heat storage part is the key to overcome the volatility of solar power generation and achieve 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℃. During operation, the molten salt storage tank will not only be affected by various external loads such as liquid column static pressure, deadweight, fixed live load, wind load, seismic load, but also by temperature load. The molten salt storage tank is large in size and complex in structure. The diameter of the storage tank equipped in large solar thermal power stations is generally more than 20m, and the diameter of the storage tank equipped in some super-large solar thermal power stations is even more than 40m. The conditions required for the experiment are extremely harsh. It is impossible to verify its strength through experiments, both from a technical level and from the perspective of practical feasibility. At present, there is a lack of certain strength verification methods and thermal stress assessment methods for molten salt storage tanks under the combined action of mechanical external forces and temperature loads. 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 of a solar thermal power station, which 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.

[0004] In order to solve the above technical problems, the technical solution of the present invention is as follows:

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

[0006] Determine an initial geometric model of the molten salt storage tank, wherein the initial geometric model is a structural model of a tank top, a tank wall, a tank bottom, reinforcement ribs and a foundation of the molten salt storage tank;

[0007] Preprocessing the initial geometric model to obtain a target geometric model;

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

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

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

[0011] According to the target numerical model, constraint conditions and applied stress load, stress parameters of the molten salt storage tank are obtained.

[0012] Optionally, preprocessing the initial geometric model to obtain a target geometric model includes:

[0013] Cleaning up the free edges and repeated surfaces of the initial geometric model to obtain a revised geometric model;

[0014] Defect repair is performed on the revised geometric model to obtain a target geometric model.

[0015] Optionally, performing a surface extraction process on the target geometric model to obtain a first numerical model includes:

[0016] According to the target geometric model, a reference surface is obtained;

[0017] Offsetting the reference surface according to a preset distance to obtain a mid-surface model;

[0018] Meshing the mid-surface model to obtain a mid-surface meshing result;

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

[0020] Optionally, performing beam extraction processing on the first numerical model to obtain a second numerical model includes:

[0021] According to the first numerical model, obtaining a beam structure;

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

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

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

[0025] Optionally, obtaining a target numerical model according to the second numerical model and a preset contact relationship includes:

[0026] obtaining a contact surface in the second numerical model;

[0027] According to the preset contact surface type and contact properties of the contact surface, a target numerical model is obtained.

[0028] Optionally, the contact type between the mid-surfaces is preset as surface-to-surface contact, the contact type between the beams is preset as edge-to-edge contact, and the contact type between the mid-surface and the beam is preset 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] Applying a temperature load on the target numerical model to obtain a temperature distribution field;

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

[0032] According to the constraint conditions, the mechanical distribution field is processed to obtain the stress parameters of the molten salt storage tank.

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

[0034] one or more processors;

[0035] A storage device is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining the parameters of the molten salt storage tank of a solar thermal power station described in the present invention.

[0036] An embodiment of the present invention further provides a computer-readable storage medium, in which a program is stored. When the program is executed by a processor, the method for determining parameters of a molten salt storage tank in a solar thermal power plant described in the present invention is implemented.

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

[0038] The above-mentioned method for determining parameters of the molten salt storage tank of the solar thermal power station of the present invention determines the initial geometric model of the molten salt storage tank, wherein the initial geometric model is the structural model of the tank top, tank wall, tank bottom, reinforcement ribs and foundation of the molten salt storage tank; pre-processes the initial geometric model to obtain the target geometric model; extracts the middle surface of the target geometric model to obtain the first numerical model; extracts the beam of the first numerical model to obtain the second numerical model; obtains the target numerical model according to the second numerical model and the preset contact relationship; obtains the stress parameters of the molten salt storage tank according to the target numerical model, the constraint conditions and the applied stress load. It 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. BRIEF DESCRIPTION OF THE DRAWINGS

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

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

[0041] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying 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 in order to enable a more thorough understanding of the present invention and to enable the scope of the present invention to be fully communicated to those skilled in the art.

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

[0043] Step S1, determining an initial geometric model of a molten salt storage tank, wherein the initial geometric model is a structural model of a tank top, a tank wall, a tank bottom, reinforcement ribs and a 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 surface extraction processing on the target geometric model to obtain a first numerical model;

[0046] Step S4, performing beam extraction processing 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 stress parameters of the molten salt storage tank according to the target numerical model, constraint conditions and applied stress load.

[0049] In this embodiment, Figure 1As shown, when conducting numerical simulation of molten salt storage tank, firstly, a three-dimensional geometric model is established according to the design drawings of the molten salt storage tank. When establishing the geometric model, the shape and size are first simplified, changed and processed as necessary according to the specific characteristics of the object; the three-dimensional model of the molten salt storage tank includes: tank top, tank wall, tank bottom, foundation and reinforcement ribs. Among them, the tank wall is composed of five layers of plates with different thicknesses, and the thickness changes in a step-like manner with the height; the tank bottom is composed of three plates with different thicknesses, and the thickness gradually decreases toward the center of the circle. Since the molten salt storage tank has a symmetrical structure, load and constraint, in order to reduce the amount of calculation and speed up the solution speed, 1 / 4 of the molten salt storage tank structure is selected for modeling when establishing the geometric model; then the initial geometric model is preprocessed to make the geometric model closer to the actual state of the molten salt storage tank, and the target geometric model is obtained; again, since the thickness-diameter ratio of the molten salt storage tank is relatively large and it is a typical thin-walled structure, the three typical thin-walled structures of the tank wall, tank top and tank bottom are subjected to mid-surface extraction during simulation to obtain the first numerical model; then, on the basis of the first numerical model, the reinforcement ribs on the top of the tank top are subjected to beam extraction 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 relationship between the tank body components are set to obtain the target numerical model; finally, the constraints for the tank body operation are set, and stress loads such as mechanical loads and thermal loads are applied, and the stress parameters of the molten salt storage tank are obtained according to the target numerical model.

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

[0053] In this embodiment, the initial geometric model is preprocessed. First, the free edges and repeated surfaces of the initial geometric model are cleaned. Specifically, the global unit size is determined by the model size and the scaling factor. The geometric cleaning tolerance is determined according to the global unit size. The tolerance sets the maximum gap that the geometric cleaning tool can merge to ensure that the mesh will not be distorted. Next, the topology display is used to determine the parts that need geometric cleaning. The free edges are merged while ensuring that the surfaces are not degraded. Next, the repeated surfaces in the geometric model are checked and deleted to obtain a revised geometric model. Then, the revised geometric model is repaired. Specifically, the defects of the geometric model are checked to obtain the types and quantities of defects. Next, adjacent vertices and curves in the defects are stitched within the tolerance range to repair the missing surfaces in the model. Finally, the repair effect is checked to ensure that the quality of the repaired model meets the requirements.

[0054] In an optional embodiment of the present invention, in step S3, the target geometric model is subjected to a surface extraction process 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 according to a preset distance to obtain a mid-surface model;

[0057] Step S33, meshing the mid-surface model to obtain a mid-surface meshing 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 the preset material to obtain a first numerical model.

[0059] In this embodiment, the target geometric model is subjected to mid-surface extraction processing. First, a surface with better surface quality in the target geometric model is selected as a reference surface. Then, a preset offset distance is set, and the reference surface is offset according to the preset distance so that the mid-surface can accurately reflect the geometric shape of the storage tank, thereby obtaining a mid-surface model. Secondly, according to the analysis requirements and accuracy requirements, a suitable mesh type and size are selected, and meshing is performed on the generated mid-surface model. During the meshing 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 elastic modulus, Poisson's ratio, density, linear thermal expansion coefficient, and thermal conductivity of the mid-surface material are set in the model to obtain a first numerical model.

[0060] In an optional embodiment of the present invention, in step S4, beam extraction processing is performed on the first numerical model to obtain a second numerical model, including:

[0061] Step S41, acquiring 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, meshing the beam structure model to obtain a beam meshing 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 the preset material to obtain a second numerical model.

[0065] In this embodiment, beam extraction is performed on the first numerical model. The beam structure has a long strip feature and is mainly subjected to loads such as axial tension, 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 reinforcement ribs on the top of the storage tank are used as the beam structure; then, the cross-sectional properties of the extracted beam structure are defined, and the cross-sectional properties include cross-sectional shapes, such as rectangles, circles, etc., and sizes, such as width and height, etc.; secondly, according to the analysis requirements and accuracy requirements, a suitable grid type and size are selected, and grid division is performed on the generated beam structure model. During the grid division process, it is ensured that there are no deformed grids or missing grids. Finally, according to the material composition of the storage tank, parameters such as 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 optional embodiment of the present invention, in step S5, obtaining a target numerical model according to the second numerical model and a preset contact relationship includes:

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

[0068] Step S52, obtaining a target numerical model according to the preset contact surface type and contact properties of the contact surface.

[0069] In this embodiment, the contact relationship of the molten salt storage tank model is set. First, all possible surfaces in contact with each other are identified in the model. These surfaces can be 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-edge contact, and edge-to-edge contact. Among the two contact surfaces that are in contact with each other, a master surface and a slave surface are selected. The surface with greater stiffness or the analytical surface is used as the master surface, and the surface on the flexible body is used as the slave surface. If the stiffness of the two contact surfaces is similar, the surface with a coarser mesh is selected as the master surface. According to the relative sliding of the contact surfaces, limited slip or small slip is determined. Limited slip allows any relative sliding between the two contact surfaces. Small slip assumes that there is only a small relative sliding between the two contact surfaces, and the amount of sliding is The size is only a small part of the unit size. The position of the slave surface is adjusted as needed to ensure that it contacts the master surface correctly. In this embodiment, the contact type between the middle surfaces is preset as surface-to-surface contact, the contact type between the beams is preset as edge-to-edge contact, and the contact type between the middle surface and the beam is preset as surface-to-edge contact; the contact attributes usually include normal contact attributes and tangential friction attributes. The normal contact attribute is generally hard contact, indicating that the contact pressure that can be transmitted between the contact surfaces is not limited. When the contact pressure becomes zero or negative, it indicates that the contact surface is in a separated state. The tangential friction attribute generally defines the resistance when relative sliding occurs between the contact surfaces; specifically, the contact relationship type between the bottom of the tank and the foundation is set to tangential friction contact, and the contact between the various components of the tank is set to normal contact attributes;

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

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

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

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

[0074] In this embodiment, on the established target numerical model, temperature loads are first applied according to design requirements, and the temperature field is calculated to obtain the temperature distribution fields of various components of the molten salt storage tank; then, on the basis of the temperature distribution field, mechanical loads are applied according to design requirements to obtain the mechanical distribution field; finally, the mechanical distribution field is processed in combination with preset constraints to obtain the stress parameters of the molten salt storage tank.

[0075] The specific method for determining parameters of the molten salt storage tank of a solar thermal power station can be seen in the following embodiment:

[0076] A large molten salt storage tank under construction was used as the research object for modeling. The entire model consists of 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 is divided into five layers along the height direction, and the thickness changes in a step-like manner with the height. The tank bottom plate is composed of three plates of different thicknesses, and the thickness gradually decreases toward the center of the circle. Since the molten salt storage tank has a symmetrical structure, load, and constraint, in order to reduce the amount of calculation and speed up the solution accuracy, a 1 / 4 tank structure is selected for modeling when establishing the finite element model; since the molten salt storage tank has a large thickness-diameter ratio and is a typical thin-walled structure, beam extraction is performed on the three typical thin-walled structures of the tank wall, tank top, and tank bottom during modeling; then the model is subjected to mid-surface extraction.

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

[0078] Table 1 347H stainless steel material parameters

[0079]

[0080]

[0081] The tank bottom and the foundation are set to tangential friction contact, the friction factor is set to 0.3, and the contact between the various parts of the tank is set to normal contact properties.

[0082] Shell elements are used to mesh the tank wall, tank top and tank bottom, and solid elements are used to mesh the foundation and large angle welds.

[0083] The mechanical and thermal loads on the tank are considered in the finite element analysis. The dangerous working conditions are self-weight + liquid static pressure + design internal pressure + temperature load. The self-weight is achieved by applying global gravity acceleration; the liquid static pressure is applied to the tank wall, and the density of the molten salt is 1728kg / m 3 The molten salt height is 14m, the designed internal pressure is 2kPa, and it is applied to all the walls of the tank body, tank top and tank bottom; temperature load is applied to the tank body, tank top and tank bottom, and the temperature is set to 565℃.

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

[0085] The simulation results of the tank roof show that the maximum equivalent stress of the tank roof is 83.308MPa, which is less than the allowable stress of 347H material 130.5MPa. Therefore, the tank roof 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 114.24MPa, which is less than the allowable stress of 347H material 130.5MPa. 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 105.37MPa, which is less than the allowable stress of 130.5MPa of 347H material. Therefore, the tank bottom meets the strength requirements under this dangerous working condition.

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

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

[0090] The processing module 22 is used to preprocess the initial geometric model to obtain a target geometric model; perform surface extraction processing on the target geometric model to obtain a first numerical model; perform beam extraction processing on the first numerical model to obtain a second numerical model; obtain a target numerical model based on the second numerical model and a preset contact relationship; and obtain stress parameters of the molten salt storage tank based on the target numerical model, constraints and applied stress loads.

[0091] Optionally, the initial geometric model is preprocessed to obtain a target geometric model, including: 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, the target geometric model is subjected to mid-surface extraction processing to obtain a first numerical model, including: obtaining a reference surface according to the target geometric model; offsetting the reference surface by a preset distance to obtain a mid-surface model; meshing the mid-surface model to obtain a mid-surface meshing result; and configuring mid-surface parameters of the mid-surface meshing 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 the first numerical model.

[0093] Optionally, the first numerical model is subjected to beam extraction processing to obtain a second numerical model, including: acquiring a beam structure according to the first numerical model; setting cross-sectional properties of the beam structure to obtain a beam structure model; meshing the beam structure model to obtain a beam meshing result; and configuring beam parameters of the beam meshing result according to at least one of an 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, obtaining a target numerical model according to the second numerical model and a preset contact relationship includes: acquiring a contact surface in the second numerical model; and obtaining the target numerical model according to a preset contact surface type and contact properties of the contact surface.

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

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

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

[0098] one or more processors;

[0099] A storage device is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining parameters of the molten salt storage tank in a solar thermal power plant according to the present invention. All implementation methods in the above method embodiments are applicable to the embodiments of the device and can achieve the same technical effect.

[0100] An embodiment of the present invention further provides a computer-readable storage medium, wherein a program is stored in the computing device-readable storage medium, and when the program is executed by a processor, the method for determining parameters of a molten salt storage tank in a solar thermal power station described in the present invention is implemented. All implementations in the above method embodiments are applicable to the embodiments of the computing device-readable storage medium, and can also achieve the same technical effects.

[0101] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond 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 systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[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 only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as 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 mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

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

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

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

[0107] In addition, it should be noted that in the apparatus and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. Moreover, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order, and some steps can be performed in parallel or independently of each other. For those of ordinary skill in the art, it is understood that all or any steps or components of the method and apparatus of the present invention can be implemented in any computing device (including processors, storage media, etc.) or a network of computing devices in 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 purpose of the present invention can also be achieved by running a program or a group of programs on any computing device. The computing device can be a well-known general-purpose device. Therefore, the purpose of the present invention can also be achieved by simply providing a program product containing a program code for implementing a 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 pointed out that in the device and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. In addition, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order. Some steps can be performed in parallel or independently of each other.

[0109] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for determining parameters of a molten salt storage tank in a solar thermal power station, characterized in that: include: Determine an initial geometric model of the molten salt storage tank, wherein the initial geometric model is a structural model of a tank top, a tank wall, a tank bottom, reinforcement ribs and a foundation of the molten salt storage tank; Preprocessing the initial geometric model to obtain a target geometric model; Performing surface extraction processing on the target geometric model to obtain a first numerical model; Performing beam extraction processing 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; According to the target numerical model, constraint conditions and applied stress load, stress parameters of the molten salt storage tank are obtained.

2. The method for determining parameters of a molten salt storage tank in a solar thermal power station according to claim 1, characterized in that: Preprocessing the initial geometric model to obtain a target geometric model includes: Cleaning up the free edges and repeated surfaces of the initial geometric model to obtain a revised geometric model; Defect repair is performed on the revised geometric model to obtain a target geometric model.

3. The method for determining parameters of a molten salt storage tank in a solar thermal power station according to claim 1, characterized in that: Performing a surface extraction process on the target geometric model to obtain a first numerical model includes: According to the target geometric model, a reference surface is obtained; Offsetting the reference surface according to a preset distance to obtain a mid-surface model; Meshing the mid-surface model to obtain a mid-surface meshing result; The mid-surface division result is subjected to mid-surface parameter configuration according to at least one of the elastic modulus, Poisson's ratio, density, linear thermal expansion coefficient and thermal conductivity of the preset material to obtain a first numerical model.

4. The method for determining parameters of a molten salt storage tank in a solar thermal power station according to claim 3, characterized in that: Performing beam extraction processing on the first numerical model to obtain a second numerical model includes: According to the first numerical model, obtaining a beam structure; Setting the cross-sectional properties of the beam structure to obtain a beam structure model; Performing mesh division on the beam structure model to obtain a beam division result; According to at least one of the elastic modulus, Poisson's ratio, density, linear thermal expansion coefficient and thermal conductivity of the preset material, beam parameters are configured for the beam division result to obtain a second numerical model.

5. The method for determining parameters of a molten salt storage tank in a solar thermal power station according to claim 4, characterized in that: Obtaining a target numerical model according to the second numerical model and a preset contact relationship includes: obtaining a contact surface in the second numerical model; According to the preset contact surface type and contact properties of the contact surface, a target numerical model is obtained.

6. The method for determining parameters of a molten salt storage tank in a solar thermal power station according to claim 5, characterized in that: The contact type between mid-surfaces is preset as surface-to-surface contact, the contact type between beams is preset as edge-to-edge contact, and the contact type between mid-surfaces and beams is preset as surface-to-edge contact.

7. The method for determining parameters of a molten salt storage tank in a solar thermal power station according to claim 1, characterized in that: According to the target numerical model, constraint conditions and applied stress load, the stress parameters of the molten salt storage tank are obtained, including: Applying a temperature load on the target numerical model to obtain a temperature distribution field; Applying a mechanical load on the temperature distribution field to obtain a mechanical distribution field; According to the constraint conditions, the mechanical distribution field is processed to obtain the stress parameters of the molten salt storage tank.

8. A device for determining parameters of a molten salt storage tank in a solar thermal power station, characterized in that: include: An acquisition module is used to acquire an initial geometric model of a molten salt storage tank, wherein the initial geometric model is a structural model of a tank top, a tank wall, a tank bottom, a reinforcement rib and a foundation of the molten salt storage tank; A processing module is used to preprocess the initial geometric model to obtain a target geometric model; perform surface extraction processing on the target geometric model to obtain a first numerical model; perform beam extraction processing on the first numerical model to obtain a second numerical model; obtain a target numerical model based on the second numerical model and a preset contact relationship; and obtain stress parameters of the molten salt storage tank based on the target numerical model, constraints and applied stress loads.

9. A computing device, characterized in that include: one or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors implement the method as claimed in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computing device readable storage medium stores a program, which implements the method according to any one of claims 1 to 7 when executed by a processor.

Images