Base design method of wind generating set, base and wind generating set

Abstract

The invention provides a base design method of a wind generating set, a base and the wind generating set. The base design method comprises the steps that based on an original three-dimensional model of a base of the wind generating set, a design space used for generative design of the base is established; constraint conditions and objective functions used for model calculation in the generative design are set, and the objective functions comprise the weighted sum of a plurality of objective functions so as to realize joint optimization of a plurality of objective parameters; generating a base three-dimensional model of the wind generating set based on the generative design; and carrying out geometric reconstruction on a result of model calculation of the creative design to obtain a three-dimensional solid model of the wind generating set base. According to the base design method of the wind generating set, the design period can be remarkably shortened, the optimal model under the constraint condition can be found through scientific optimization, and the product competitiveness is improved.

Description

Technical Field

[0001] The present invention belongs to the field of wind power generation, and in particular, relates to a base design method for a wind power generator set and a base manufactured based on a three-dimensional solid model calculated by the base design method. Background Art

[0002] The base of a wind turbine is the main supporting component of the generator, and the structural reliability of the base is a key factor in the stable operation of the wind turbine. The traditional method of base design is generally designed by structural engineers based on experience and reference to existing structures, and then the ultimate strength and fatigue analysis of the configuration is performed based on the finite element method and modified according to the analysis results. The modified structure is analyzed and checked again, and the above process is repeated until the structural design meets the strength requirements. Since the traditional method mainly relies on manual work in structural design and material distribution, it is difficult to break the conventional thinking. The base designed in this way has a large amount of material redundancy and a long design cycle. It is difficult to adapt to the rapid update and iteration of market products, and it is also difficult to achieve the lightweight design goal of the base. Summary of the invention

[0003] This summary is provided to introduce the concepts made in a simplified form, and these concepts are further described in the following detailed description. This summary is neither intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.

[0004] According to one embodiment of the present invention, a method for designing a base of a wind turbine generator set is provided, the method comprising: establishing a design space for generative design of the base based on the original three-dimensional model of the base of the wind turbine generator set; setting constraints and objective functions for model calculation in the generative design, wherein the objective function comprises a weighted sum of multiple objective functions to achieve joint optimization of multiple objective parameters; generating a three-dimensional model of the base of the wind turbine generator set based on the generative design; and geometrically reconstructing the result of the model calculation of the generative design to obtain a three-dimensional solid model of the base of the wind turbine generator set. The method for designing a base of a wind turbine generator set of the present invention can shorten the design cycle, scientifically optimize under constraints, and improve product competitiveness.

[0005] Optionally, the multiple objective functions include maximum stiffness and maximum low-order natural frequency, and the base design method also includes: performing generative design calculations based on the objective functions of stiffness and low-order natural frequency respectively before generating a three-dimensional model of the base of the wind turbine generator set based on the generative design.

[0006] Optionally, the base design method further includes: performing topology optimization after generating a three-dimensional model of the base of the wind turbine generator set based on generative design, wherein an objective function for the topology optimization includes minimizing maximum stress.

[0007] Optionally, the constraints include a weighted reorganization of ultimate loads and fatigue loads.

[0008] Optionally, the non-design space includes a reserved space occupied by the three-dimensional model of the base and an excluded space for accommodating other components.

[0009] Optionally, the exclusion space is used to accommodate at least one of a tower, a bearing seat, a main shaft, a bearing, a gear box, a yaw system and a hub of the wind turbine generator set.

[0010] Optionally, the reserved space includes flanges respectively connected to the yaw reducer, the bearing seat foot and the nacelle of the wind turbine generator set.

[0011] Optionally, the constraint conditions include at least one of geometric constraints and process constraints, wherein: the geometric constraint includes a bottom surface fixed constraint, and the bottom surface fixed constraint is based on the tower end face; the process constraint includes at least one of a symmetry constraint, a draft constraint, a parting surface constraint, and a material sparsity constraint.

[0012] Optionally, the constraint condition further includes at least one of a spatial boundary and a material property constraint of the base.

[0013] Optionally, the base design method further includes: performing strength and stiffness verification calculations on the obtained three-dimensional solid model of the wind turbine base; and adjusting the constraint conditions according to the results of the verification calculations and cyclically performing the model calculations of the generative design.

[0014] According to one embodiment of the present invention, a base of a wind turbine generator set is provided. A three-dimensional solid model is calculated by the wind turbine generator set base design method as described above, and the base is manufactured based on the three-dimensional solid model.

[0015] According to one embodiment of the present invention, a wind turbine generator set is provided. The wind turbine generator set includes a tower, an impeller, a nacelle and a base of the wind turbine generator set as described above.

[0016] According to one embodiment of the present invention, a computer-readable storage medium storing a computer program is provided, and when the computer program is executed by a processor, the method for designing a base of a wind turbine generator set as described above is implemented.

[0017] According to one embodiment of the present invention, a computer device is provided, the computer device comprising: a processor; a memory storing a computer program, and when the computer program is executed by the processor, the base design method of the wind turbine generator set as described above is implemented.

[0018] The base design method of the wind turbine generator set according to the embodiment can shorten the design cycle and obtain the optimal model by optimizing the optimal material ratio, thereby improving product competitiveness.

[0019] Other features and aspects will be readily apparent from the following detailed description and accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A flow chart of a method for designing a foundation of a wind turbine generator system according to an embodiment is shown.

[0021] Figure 2 A detailed flow chart of a method for designing a foundation of a wind turbine generator set according to an embodiment is shown.

[0022] Figure 3 It is the initial 3D solid model of the base used for generative design.

[0023] Figure 4 It is a 3D solid assembly model and its cross-section view used for generative design.

[0024] Figure 5 is a schematic diagram of the excluded space used for generative design.

[0025] Figure 6 is a schematic diagram of the holding space used for generative design.

[0026] Figure 7 is a schematic diagram of the generatively designed generated base.

[0027] Figure 8 is a schematic diagram of the geometrically reconstructed base. DETAILED DESCRIPTION

[0028] The following specific embodiments are provided to help the reader gain a comprehensive understanding of the methods, devices and / or systems described herein. However, after understanding the disclosure of the present application, various changes, modifications and equivalents of the methods, devices and / or systems described herein will be readily understood. For example, the order of operations described herein is merely an example and is not limited to the order set forth herein, but in addition to the operations that must occur in a particular order, changes that will be readily understood after understanding the disclosure of the present application may be made. In addition, in order to improve clarity and brevity, after understanding the disclosure of the present application, the description of known features may be omitted, and the omission of features and their descriptions is not intended to admit that they are common sense.

[0029] A wind turbine generator set may include a tower, a base, a generator and a transmission chain, etc., wherein the base is located above the tower to support the generator.

[0030] Figure 1 A flow chart of a method for designing a foundation of a wind turbine generator system according to an embodiment is shown.

[0031] Reference Figure 1 According to the embodiment, the base design method of the wind turbine generator set includes: in step 101, based on the original three-dimensional model of the base of the wind turbine generator set, a design space for the generative design of the base is established. In step 102, constraints, objective functions and load constraints for model calculation in the generative design are set, wherein the objective function includes a weighted sum of multiple objective functions to achieve joint optimization of multiple objective parameters. In step 103, a three-dimensional model of the base of the wind turbine generator set is generated based on the generative design. In step 104, the result of the model calculation of the generative design is geometrically reconstructed to obtain a three-dimensional solid model of the base of the wind turbine generator set. The base design method of the wind turbine generator set according to the embodiment can shorten the design cycle, and obtain the optimal model by optimizing the optimal material ratio, thereby improving the competitiveness of the product.

[0032] Generative design is a computer-aided design method that uses machine learning to create part and assembly models. Users can specify the design space (retained space and / or excluded space), operating conditions, material constraints, and process constraints. Generative design can explore all possible solution combinations based on the designer's intentions, thereby quickly generating alternative solutions. On the other hand, topology optimization takes material distribution as the optimization object, and can find the best material distribution solution that meets the design goals in the specified design space, thereby achieving a lightweight design of the target structure.

[0033] The design method that combines generative design with topology optimization can adjust the optimal distribution relationship of materials in the design space and optimize the force distribution according to the design goals (e.g., target stress, target stiffness, and operating load, etc.) and constraints (e.g., material property constraints, spatial boundaries, etc.) provided by the designer. After multiple iterative calculations, it can achieve the lightweight design of the target structure to the greatest extent while providing a variety of alternative solutions that meet the design goals. Generative design is faster than traditional manually driven iterative design methods. The present invention proposes a base design method for a wind turbine based on generative design combined with topology optimization.

[0034] Figure 2 A detailed flow chart showing a method for designing a base of a wind turbine generator set according to an embodiment; Figure 3 It is the initial three-dimensional solid model of the base used for generative design; Figure 4It is a three-dimensional solid assembly model and its cross-section diagram used for generative design; Figure 5 is a schematic diagram of the excluded space used for generative design;

[0035] Figure 6 is a schematic diagram of the reserved space for generative design; Figure 7 It is a schematic diagram of the generated base of generative design; Figure 8 is a schematic diagram of the geometrically reconstructed base.

[0036] Reference Figure 2 The base design method combining generative design and topology optimization design according to the present invention comprises the following steps:

[0037] In step 201, a three-dimensional solid assembly model is established.

[0038] The 3D solid assembly model can include a 3D solid for the base. Figure 3 , which is the initial 3D solid model of the base used for generative design, can be initially set up as follows Figure 3 The cube shape shown. Figure 4 The three-dimensional solid assembly model may also include a bearing seat 401 (fixedly connected to the base through a bearing seat foot), a main shaft 402, a bearing 403, a gear box 404, a yaw system 405, a hub (not shown), a tower 406, a yaw bearing 407, and a tower top flange 408, and these components may only construct a simple outline geometry (for example, Figure 4 The cylindrical geometry is used to exclude space to construct the yaw system gear). Here, the more assembly models are established, the more in line with the actual situation and the more accurate the calculation results are, but the calculation speed decreases. Therefore, considering the calculation resources comprehensively, the assembly model at least includes the base and its necessary connecting parts.

[0039] In step 202, a finite element model of the three-dimensional solid assembly model is established. That is, the three-dimensional solid assembly model is meshed, wherein the mesh size of the base can be set to be smaller than the mesh size of other components. Meshing is to fit irregular surfaces with small-sized meshes. Too fine meshes will increase the calculation time, but too coarse meshes will affect the accuracy. Therefore, the size of the structural mesh that has little effect on the structural strength can be appropriately increased. The base, as a key component designed here, requires a small mesh size, thereby improving the calculation accuracy while ensuring the calculation speed.

[0040] In step 203, the load constraints in the constraints are set. In view of the lack of fatigue load verification in generative design, in an embodiment of the present invention, the constraints may include a weighted reorganization of the limit load and the fatigue load. The load constraints are set according to the path of the blade root load transferred to the base and the load application position. According to the complexity of the established model, the load constraints can be applied via the hub or the main shaft to the component closest to the load transfer path. For example: in a three-dimensional solid model, a mass point is added to the center of the hub and the hub mass is attached. The load constraint is applied to the mass point at the center of the hub, and the load is transferred to the end face of the hub and the pitch bearing connection using a flexible connection or a rigid connection.

[0041] The first six key conditions can be selected from the 16 extreme load conditions, and these six key conditions can be Mxmax, Mymax, Mymin, Mzmax, Mzmin and Myzmax. Mxmax, Mymax, Mymin, Mzmax, Mzmin and Myzmax contain loads of six degrees of freedom, namely, Mx, My, Mz, Fx, Fy and Fz, respectively. The corresponding coordinate systems can be transformed according to the actual wind loads, and these six key conditions are weighted summed to generate the extreme load constraints for calculation, wherein the weights of these six key conditions can be the same, and can also be different according to the design conditions. Here, Mx, My and Mz represent the bending moment loads in the x, y and z directions, respectively, and Fx, Fy and Fz represent the force loads in the x, y and z directions, respectively.

[0042] The six unit loads of fatigue load include Mx, My, Mz, Fx, Fy, and Fz. The occurrence frequency of the six unit loads can be evaluated through time series loads, the contribution ratio of the six loads can be evaluated, and weights can be applied to the six loads to form fatigue load constraints.

[0043] The limit load constraint and fatigue load constraint can be further combined into a new load constraint by applying weights. The new load constraint is input as the load constraint parameter of generative design. Here, multiple load constraints are optimized into one load constraint, and the influence of various working conditions on the calculation results is comprehensively considered.

[0044] In step 204, based on the load constraints set in step 203, the strength and stiffness of the base in the three-dimensional solid assembly model are preliminarily calculated.

[0045] Since the subsequent generation and optimization is to reduce the material on the basis of the original base 3D model, the strength and stiffness will be further reduced, so it is necessary to determine whether the original base 3D model meets the strength and stiffness requirements.

[0046] In step 205, when the base in the above three-dimensional solid assembly model meets the strength and stiffness requirements, step 206 is performed. If it does not meet the requirements, the process returns to step 201 to readjust the size of the original base three-dimensional model to improve the strength and stiffness of the original base three-dimensional model.

[0047] Reference Figure 2 The steps of the first model calculation may specifically include steps 206 to 212.

[0048] In step 206, the design space and non-design space of the base are established. The design space is used for the autonomous generation of generative design. The non-design space includes the reserved space occupied by the three-dimensional model of the base and the excluded space for accommodating other components. The excluded space is used to accommodate at least one of the tower, bearing seat, main shaft, bearing, gearbox, yaw system and hub of the wind turbine. The reserved space includes the flange connected to the yaw reducer, bearing seat foot and nacelle of the wind turbine.

[0049] Reference Figure 5 The excluded space is an area that must not be reserved, including the space occupied by the yaw reducer 501, the space occupied by the bearing 502, and the space occupied by the cable 503.

[0050] Reference Figure 6 The reserved space is the space that must be reserved during the design, that is, the frozen area that is not allowed to be optimized, for example, key interface flanges, such as flange 601 connected to the bearing seat, flange 602 connected to the platform, flange 603 connected to the yaw reducer, flange 604 connected to the nacelle, and flange 605 connected to the gearbox, etc.).

[0051] In step 207, further set constraints. Constraints include at least one of geometric constraints and process constraints, wherein the geometric constraints include bottom surface fixed constraints, and the bottom surface fixed constraints are based on the tower end surface; the process constraints include at least one of symmetry constraints, draft constraints, parting surface constraints, and material sparsity constraints. Constraints may also include assembly process constraints and volume fractions. In the design of casting parts, drafting is used to set the drafting direction and angle, and the parting surface is used to set the plane of the casting structure parting. The draft constraint and the parting surface constraint facilitate demolding during casting production, and can make the optimization result as close to the actual casting condition as possible. The material sparsity is used to set the material sparsity 0 to 1 (the closer to 1, the material sparsity optimization result will generate a support structure; the closer to 0, the optimization result will reduce the support structure as much as possible). The material sparsity can make the optimization result reduce the support beam for casting, but the smaller the sparsity, the thicker the wall thickness of the optimized structure will be, which is not conducive to the purpose of lightweight. The assembly process constraints include fixed constraints and the contact state between assembly parts. In order to improve the calculation speed, the embodiments of the present invention are all set to binding contact. The volume fraction is the percentage of the optimized design space compared to the original design space, that is, the volume of the optimized result must not exceed the proportion of the original volume, usually presented as a percentage, for example, the volume of the final optimized result must not exceed 30% of the design space. Constraints may also include stress constraints, setting the maximum stress of the base to not exceed the allowable stress of the material. Constraints also include at least one of the spatial boundary and material property constraints of the base.

[0052] In step 208, the calculation of the first generative design is performed. The calculation of the first generative design includes performing the calculation of the generative design based on the objective functions of stiffness and low-order natural frequency respectively before generating the three-dimensional model of the base of the wind turbine generator based on the generative design. In the first calculation, single-objective optimization is performed for maximizing the structural stiffness (minimizing the structural flexibility) and maximizing the low-order natural frequency (here the first-order natural frequency is taken). Stiffness is an important indicator of the mechanical properties of the structure. The structural design tries to obtain stiffness (i.e., the ability to resist deformation) under the condition of light weight as much as possible. The low-order frequency of the material is more correlated with the mass. The larger the low-order frequency, the better the structural stiffness. Maximizing stiffness considers static conditions, and maximizing the low-order frequency considers dynamic conditions. Two single-objective calculation tasks can be performed simultaneously. Single-objective optimization is fast and results can be obtained quickly. Steps 209 to 210 and steps 211 to 212 can be performed simultaneously.

[0053] At step 209 , a first objective function is set, which may be, for example, maximizing structural stiffness.

[0054] In step 210 , the maximum value and the minimum value of the flexibility are obtained based on the first objective function.

[0055] In step 211 , a second objective function is set, which may be, for example, maximizing the low-order natural frequency.

[0056] In step 212 , the maximum value and the minimum value of the low-order natural frequency are obtained based on the second objective function.

[0057] The purpose of the first generative design calculation is to obtain the maximum and minimum values ​​of flexibility and low-order natural frequency as reference for the input value of the comprehensive function. After executing the first generative design calculation, the single-objective structural optimization results for maximizing structural stiffness and maximizing low-order natural frequency can be obtained respectively.

[0058] Reference Figure 2 The steps of calculating the secondary model may specifically include steps 213 to 217.

[0059] The secondary model calculation includes: after performing the first model calculation based on the objective functions of stiffness and low-order natural frequency respectively, performing the generation of generative design based on the comprehensive function of multiple objective functions.

[0060] In step 213, a comprehensive function of multiple objective functions is set. The first objective function and the second objective function are merged into a comprehensive function of multiple objective functions. The comprehensive function of multiple objective functions includes a weighted sum of multiple objective functions to achieve joint optimization of multiple objective parameters. The multiple objective functions include maximum stiffness and maximum low-order natural frequency.

[0061] In step 214, constraints are set again for the new objective function. Constraints include load constraints, volume fractions, and displacement constraints (constraining the displacement of the local structure of the base, and constraining the displacement of the base and the reducer mounting interface flange). Specifically, the constraints may be the same as those in steps 203 and 207 above. Since the first generative design is a single objective function, if the displacement constraint is added, the result (i.e., the maximum and minimum values ​​of flexibility) is the maximum and minimum value under the displacement constraint. In the second generative design, in order to obtain a better structural model, displacement constraints should be added according to the actual structural force characteristics.

[0062] In step 215, a second generative design is performed to obtain a mesh optimization result, which is only used to view the shape.

[0063] In step 216 , a freestyle direct modeling method is used to model the optimized structure based on the optimization result, that is, a geometrically reconstructed base model is generated.

[0064] In step 217, the geometrically reconstructed base model is used to replace the base model in the original finite element model.

[0065] After performing the secondary generative design calculation, the base design method according to the embodiment may further include performing shape optimization after generating a three-dimensional base model of the wind turbine generator set based on the generative design, wherein the objective function for shape optimization includes minimizing the maximum stress to achieve weight reduction under the premise of ensuring stress optimization. The maximum and minimum values ​​of the flexibility and low-order natural frequency obtained by the first generative design are used as inputs for the secondary generative design. The optimization results obtained on this basis fully consider static multi-operating conditions and dynamic objectives. At the same time, the secondary generative design adds displacement constraints, and the optimization results have better stiffness performance.

[0066] Reference Figure 2 The steps of the cubic model calculation may specifically include steps 218 to 221.

[0067] In step 218, the third objective function is set to minimize the maximum stress. Setting the maximum stress minimization as the objective function here can avoid the following Figure 3 The initial three-dimensional solid model is too large, and the direct maximum stress minimization calculation requires a long iteration time, and the safety margin of the calculation result is too large (taking QT400 material as an example, the material yield strength is 220MPa, and the maximum stress of the original model directly performing the maximum stress minimization calculation is only 150MPa). In step 219, the constraint conditions are set again, and another stress constraint is added. The other constraint conditions can be the same as the constraint conditions in the above steps 203 and 207.

[0068] In step 220, shape optimization is performed to obtain an optimization result. The shape of the previously generated model can be fine-tuned according to the maximum stress through topology optimization, so that the maximum stress is as close as possible to the surrounding stress, and an equal strength design is achieved. Figure 7 , Figure 7 A schematic diagram showing a generatively designed generated base.

[0069] In step 221, the geometry of the shape optimization result is reconstructed. Figure 8 , showing a schematic diagram of a geometrically reconstructed base, the structure of the base includes front end weight reduction holes 801, front end ring ribs 802, front anchor reinforcement ribs 803, front anchors 804, side wall weight reduction holes 805, yaw flange 806, rear anchor reinforcement ribs 807, rear anchors 808, tail weight reduction holes 809, tail ring ribs 810, yaw flange weight reduction holes 811, tail ring rib reinforcement ribs 812, cabin connection flange weight reduction holes 813, cabin connection flange 814 and gearbox connection flange 815, etc.

[0070] The base design method according to the embodiment further comprises performing strength and stiffness verification calculations on the obtained three-dimensional solid model of the wind turbine base; and adjusting constraint conditions according to the results of the verification calculations and cyclically performing generative design model calculations.

[0071] After performing the shape optimization calculation, the structure at the high stress location can be locally fine-tuned based on the second generative design to reduce the local excessive stress, making the structure more evenly stressed and the resulting structure closer to the equal strength design.

[0072] In step 222, strength and stiffness verification is performed, and the optimal structure is obtained if the requirements are met. Otherwise, the process returns to step 216, and for the positions that do not meet the structural strength and stiffness requirements, the local structural dimensions are adjusted with reference to the results of shape optimization, thereby generating a new structure for further optimization.

[0073] Since the topology optimization method can only achieve the best force transmission path by reducing materials within a fixed design space, the final optimized design solution will not exceed the originally specified design space. Therefore, the present invention adopts generative design to first perform model calculation to obtain a model that maximizes structural stiffness and maximizes low-order natural frequency, and then performs weight reduction optimization for the goal of minimizing maximum stress through topology optimization. This can not only avoid the limitations of the original design space, but also increase materials according to the best force transmission path to optimize the best material distribution.

[0074] In an embodiment, the steps of setting the first objective function and the second objective function and fusing the first objective function and the second objective function into a comprehensive function may be specifically described as follows.

[0075] The first objective function sets the minimum flexibility of the unit density ρ as the optimization target (find), and the upper limit of the volume fraction as the constraint condition (st). Combining the compromise programming method, the static mathematical model of the ball node in multiple working conditions can be obtained as shown in Formula 1:

[0076]

[0077] Where n is the number of design area elements, m is the total number of static load conditions; C min k and C max k are the minimum and maximum values ​​of flexibility when the kth working condition is optimized separately, C k (ρ) is the flexibility value of the kth working condition, ω k is the weight value of the kth working condition, V(ρ) is the optimized volume of the design area, V0 is the initial volume of the design area, f is the upper limit of the volume fraction, K(ρ) is the unit stiffness matrix, and U k is the unit displacement vector, F k is the load vector.

[0078] The second objective function can avoid the oscillation of the objective function and make each frequency of the structure reach a higher value. The average eigenvalue formula is used to determine the structural dynamic frequency optimization objective function. Its mathematical model is as shown in Formula 2:

[0079]

[0080] Among them, Λ(ρ) is the node dynamic optimization objective function, λ0 and η are given parameters η=1, λ0=0, s is the node eigenvalue order, here we choose the first three orders, σ r is the weight of the r-th order eigenvalue, λ r is the rth order eigenvalue, M(ρ) is the unit mass matrix, β r is the eigenvector corresponding to the rth order eigenvalue, D e is the total number of degrees of freedom in the design area.

[0081] The purpose of setting a comprehensive objective function is to consider structural displacement, stiffness, low-order frequency, steel consumption, etc. when performing multi-objective topology optimization on the structure. The embodiment of the present invention takes into account node stiffness and frequency, and makes the low-order natural frequency of the structure high enough while satisfying that the structural stiffness is large enough, so as to have good mechanical properties. The compromise programming method is adopted here. First, single-objective calculations are performed on the two nodes to obtain the optimal value of the single-objective optimization. This optimal value is called the ideal point. Then, the normalization method and the shortest distance ideal point method are used to construct a weighted objective function to find the feasible point with the smallest distance from the ideal point, also called the "optimal compromise solution". With the minimization of the weighted objective function as the goal and the volume fraction as the constraint, the compromise programming method can obtain the mathematical model of node multi-objective topology optimization that considers both stiffness and frequency at the same time, as shown in Formula 3:

[0082]

[0083] Among them, F(ρ) is the objective function of multi-objective optimization, α is the weight of the static stiffness objective, P is the penalty factor, Λ max and Λ min They are the maximum and minimum values ​​of the objective function during frequency optimization.

[0084] The third objective function sets the maximum stress to be minimized, and the mathematical model is as follows:

[0085]

[0086] Where, σ(x) is the equivalent stress of the base, [σ] is the allowable stress of the base material (in MPa), and σ s is the yield strength of the base material, γ m is the local material safety factor.

[0087] In this embodiment, a variable density method is used to generate a continuum structure, but the method of generating a continuum is not limited to this. For example, a homogenization method, an evolutionary structural optimization method (ESO), a bidirectional evolutionary structural optimization method (BESO), a moving deformable component method (MMC), and an independent-continuous-mapping method (ICM) may also be used.

[0088] According to an exemplary embodiment of the present invention, a base of a wind turbine generator set is provided. A three-dimensional solid model is calculated by the base design method of the wind turbine generator set as described above, and the base is manufactured based on the three-dimensional solid model.

[0089] According to an exemplary embodiment of the present invention, a wind turbine generator set is provided. The wind turbine generator set includes a tower, an impeller, a nacelle, and a base of the wind turbine generator set as described above.

[0090] The base design method of the wind turbine generator set according to the embodiment can shorten the design cycle and obtain the optimal model by optimizing the optimal material ratio, thereby improving product competitiveness.

[0091] According to an exemplary embodiment of the present invention, a computer-readable storage medium storing a computer program is also provided. The computer-readable storage medium stores a computer program that, when executed by a processor, causes the processor to execute a base design method for a wind turbine generator according to the present invention. The computer-readable recording medium is any data storage device that can store data read out by a computer system. Examples of computer-readable recording media include: read-only memory, random access memory, read-only optical disk, magnetic tape, floppy disk, optical data storage device, and carrier wave (such as data transmission through the Internet via a wired or wireless transmission path).

[0092] According to an exemplary embodiment of the present invention, a computer device is also provided. The computer device includes a processor and a memory. The memory is used to store a computer program. The computer program is executed by the processor so that the processor executes the computer program of the base design method of the wind turbine generator set according to the present invention.

[0093] Although the present invention includes specific examples, it will be readily understood by those skilled in the art after understanding the disclosure of the present application that various changes in form and detail may be made in these examples without departing from the spirit and scope of the claims and their equivalents. The examples described herein will be considered to be descriptive only, not for the purpose of limitation. The description of the features or aspects in each example will be considered to be applicable to similar features or aspects in other examples. If the described techniques are performed in different orders, and / or if the components in the described system, architecture, device or circuit are combined in different ways, and / or the components in the described system, architecture, device or circuit are replaced or added by other components or their equivalents, suitable results can be obtained. Therefore, the scope of the present invention is not limited by specific embodiments, but by claims and their equivalents, and all variations within the scope of claims and their equivalents will be interpreted as being included in the present invention.

Claims

1. A method for designing a base of a wind turbine generator set, characterized in that: The base design method comprises: Based on the original three-dimensional model of the base of the wind turbine generator set, a design space and a non-design space for generative design of the base are established; Setting constraints and an objective function for model calculation in generative design, wherein the objective function includes a weighted sum of multiple objective functions to achieve joint optimization of multiple objective parameters; Generate a 3D model of the wind turbine base based on generative design; and The results of the generative design model calculation are geometrically reconstructed to obtain a three-dimensional solid model of the wind turbine base.

2. The base design method according to claim 1, wherein: The multiple objective functions include maximum stiffness and maximum low-order natural frequency, and the base design method further includes: Before generating a three-dimensional model of the base of a wind turbine generator system based on generative design, generative design calculations are performed based on objective functions of stiffness and low-order natural frequencies.

3. The base design method according to claim 1 or 2, wherein: The base design method also includes: After a three-dimensional model of a base of a wind turbine generator set is generated based on generative design, topology optimization is performed, wherein an objective function for the topology optimization includes minimizing maximum stress.

4. The base design method according to claim 1, wherein: The constraints include a weighted reorganization of ultimate loads and fatigue loads.

5. The base design method according to claim 1, wherein: The non-design space includes the reserved space occupied by the three-dimensional model of the base and the excluded space for accommodating other components.

6. The base design method according to claim 5, wherein: The exclusion space is used to accommodate at least one of a tower, a bearing seat, a main shaft, a bearing, a gear box, a yaw system and a hub of the wind turbine generator set.

7. The base design method according to claim 5, wherein: The reserved space includes flanges respectively connected to the yaw reducer, the bearing seat foot and the nacelle of the wind turbine generator set.

8. The base design method according to claim 1, wherein: The constraint condition includes at least one of a geometric constraint and a process constraint, wherein: The geometric constraints include bottom surface fixed constraints, which are based on the tower end surface; The process constraints include at least one of symmetry constraints, draft constraints, parting surface constraints, and material sparsity constraints.

9. The base design method according to claim 8, wherein: The constraint conditions also include at least one of a spatial boundary and a material property constraint of the base.

10. The base design method according to claim 9, wherein: The base design method also includes: Performing strength and stiffness verification calculations on the obtained three-dimensional solid model of the wind turbine generator base; and, The constraint condition is adjusted according to the result of the verification calculation and the model calculation of the generative design is cyclically performed.

11. A base of a wind turbine generator set, characterized in that: A three-dimensional solid model is calculated by the base design method according to any one of claims 1 to 10, and the base is manufactured based on the three-dimensional solid model.

12. A wind turbine generator set, characterized in that: The wind turbine generator set comprises a tower, an impeller, a nacelle and a base as claimed in claim 11.

13. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for designing a base of a wind turbine generator set as claimed in any one of claims 1 to 10 is implemented.

14. A computer device, characterized in that: The computer device comprises: processor; A memory storing a computer program, which, when executed by a processor, implements the method for designing a base of a wind turbine generator set as claimed in any one of claims 1 to 10.

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