Wind power blade stepped patching and repairing method based on parameterized optimization design, medium and equipment

Abstract

The invention provides a parameterized optimization design-based wind power blade stepped patching and repairing method, medium and equipment, the method is oriented to blade structure damage, a stepped double-lap patching and repairing method is adopted, and based on parameterized modeling and a finite element numerical analysis method, the patching and repairing efficiency is improved. And a repair optimization design method for realizing optimal quantitative matching of multiple repair parameters is realized. The efficient and rapid quantitative design method for the repair parameters is provided for implementation of stepped patching repair of existing blade structure damage, parameterized optimization design is combined with a finite element numerical analysis model, diversified quantitative adjustment of the repair parameters is achieved, the limitation of single design verification is overcome, and the method is suitable for large-scale popularization and application. The method is an effective means for prolonging the service life of the blade and improving the repairing efficiency, operation and maintenance risks can be reduced, and healthy operation of the wind power blade is guaranteed.

Description

Technical Field

[0001] The present invention belongs to the technical field of wind turbine blade main beam structure damage repair, and specifically relates to a wind turbine blade stepped patching repair method, medium and equipment based on parametric optimization design. Background Art

[0002] Blades are key components for wind turbines to obtain wind energy. Driven by economic considerations to reduce the cost of wind power generation, their size has gradually increased, and the probability of damage in complex and harsh environments has increased. At the same time, due to the long repair time and high cost of blade damage, improper repair can easily cause secondary damage to the wind turbine or even the entire machine. Therefore, robust structural maintenance and repair are essential to ensure the structural integrity of wind turbine blades and prevent catastrophic accidents.

[0003] As the main load-bearing structure of the blade, the main beam can reflect the structural load-bearing capacity of the wind turbine blade to a large extent. At present, the main beam damage is mostly repaired by the patching method. In previous studies, there are deficiencies in the optimization design of repair parameters, and these repair parameters will have different effects on the structural strength of the main beam after repair. Furthermore, the diversification of repair parameters brings about the diversity of repair schemes. However, the research on the quantitative matching design of multiple repair parameters is insufficient, which limits the types of repair analysis models.

[0004] Therefore, in order to make the blade repair method develop in the direction of efficiency, economy and reliability, a blade stepped patching repair method based on parametric optimization design is proposed, which can realize efficient and rapid quantitative design of repair parameters to a certain extent, effectively extend the service life of blades, improve repair efficiency, reduce operation and maintenance risks, and ensure the healthy operation of wind turbine blades. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a step-patching repair method, medium and equipment for wind turbine blades based on parametric optimization design.

[0006] To achieve the above object, the present invention adopts the following technical solutions:

[0007] In a first aspect, the present invention provides a step-type digging and repairing method for a wind turbine blade based on parametric optimization design, wherein the blade structure is aimed at the main beam, and comprises the following steps:

[0008] Step 1: Based on the stepped double-lapped excavation and patching repair theory, the repair parameters are set, and parametric quantitative design is adopted for the repair parameters to obtain parameter optimization design variables and parameter optimization design invariants;

[0009] Step 2: Define the numerical range of each parameter optimization design variable, design a quantitative matching scheme for multiple parameter optimization design variables, and implement a parametric design method for step-type double-lap excavation and repair parameters;

[0010] Step 3: Combined with the parametric design method of stepped double-lapped patch repair parameters and the blade main beam design requirements, based on the finite element numerical simulation software, the layer-by-layer stacking modeling method of the laminate is adopted to programmatically create a repair analysis model, and at the same time set the repair analysis model variables;

[0011] Step 4: Set boundary conditions for the repair analysis model;

[0012] Step 5: Taking the parameter optimization design variables as the optimization variables, in combination with the parameter optimization design invariants and the repair analysis model variables, the intelligent optimization algorithm is used to optimize the design of the stepped double-lap patching repair parameters for wind turbine blade structural damage. The best repair plan is determined by analyzing the repair failure strength and stress distribution state of the overlap area of ​​the parametric design method.

[0013] Optionally, in step 1, the parameter optimization design variables include overlap length, overlap width, reinforcement layer overlap length, reinforcement layer overlap width and number of reinforcement layers; the parameter optimization design invariants include single-layer thickness of the patching, number of patching layers and interface strain energy parameters.

[0014] Optionally, in step 2, the quantitative matching scheme is a plurality of schemes formed by matching a plurality of quantitative numerical combinations of a plurality of parameter optimization design variables.

[0015] Optionally, in step 3, the repair analysis model includes a motherboard, a patch, a reinforcement layer and a repair interface, and the repair analysis model variables include model length, width and height, layer form, single layer thickness, damage size, damage location, and unit properties of the motherboard, patch, reinforcement layer and repair interface.

[0016] Optionally, in step 4, setting the boundary conditions includes:

[0017] When one end is completely fixed and a uniform tensile load is applied along the fiber laying direction at the other end, the normal peeling stress distribution along the stepped overlap area of ​​the repair analysis model corresponding to the parametric design method for each stepped double lap patching repair parameter, as well as the distribution law of repair failure strength and deformation are calculated.

[0018] Optionally, the normal peeling stress distribution is obtained by selecting a path along the axis of symmetry in the width direction of the repair interface and extending it to the free surface of the repair end, and extracting the node stress using finite element software; the distribution law of the repair failure strength and deformation is the load-displacement change relationship of the repair analysis model under different quantitative matching schemes.

[0019] Optionally, in step 5, the stress distribution state of the overlapping area is a normal peeling stress distribution state, which is obtained by analyzing the normal peeling stress distribution history of the overlapping area under each quantitative matching scheme.

[0020] Optionally, in step 5, the best repair solution is determined by:

[0021] Taking the parameter optimization design variables as the optimization variables and the minimization of the average stress of the normal peeling stress distribution along the stepped overlap area of ​​the repair analysis model as the optimization target, the repair failure strength and the stress distribution state of the overlap area of ​​the parametric design method are automatically calculated through a quantitative matching scheme, in combination with the parameter optimization design invariants and the repair analysis model variables, so as to determine the best repair scheme.

[0022] In a second aspect, the present invention provides a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the wind turbine blade stepped patching and repair method based on parametric optimization design as described in the first aspect.

[0023] In a third aspect, the present invention provides an electronic device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the step-patching and repair method for wind turbine blades based on parametric optimization design as described in the first aspect is implemented.

[0024] The beneficial effects of the present invention are as follows: the present invention proposes a step-patching repair method for wind turbine blades based on parametric optimization design, which provides an efficient and rapid repair parameter quantification design method for the current step-patching repair of blade structural damage. The present invention uses parameter optimization design variables as optimization variables, takes the minimum average stress of the normal peeling stress distribution along the step-type overlap area of ​​the repair analysis model as the optimization target, and adopts parametric optimization design combined with finite element numerical analysis model to achieve quantitative adjustment of the diversified repair parameters, overcoming the limitations of single design verification. It is an effective means to extend the service life of blades and improve repair efficiency, which can reduce operation and maintenance risks and ensure the healthy operation of wind turbine blades. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a workflow diagram of a step-type digging and patching repair method for wind turbine blades based on parameterized optimization design of the present invention;

[0026] Figure 2 It is a schematic diagram of the repair analysis model and parameter optimization design variables of the present invention;

[0027] Figure 3 It is a schematic diagram of the invariants and boundary conditions of the repair analysis model parameter optimization design of the present invention;

[0028] Figure 4 It is a schematic diagram of the quantitative matching scheme of parameter optimization design of the present invention;

[0029] Figure 5 It is a schematic diagram of the grid attributes of the repair analysis model of the present invention;

[0030] Figure 6 It is a node extraction path diagram of the repair analysis model of the present invention;

[0031] Figure 7 is an example diagram of load-displacement variation curves of different overlap lengths of the present invention;

[0032] Figure 8 It is an example diagram of normal peeling stress distribution of different overlap lengths of the present invention. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0034] In one embodiment, the present invention proposes a step-type repair method for wind turbine blades based on parameterized optimization design. The specific process is as follows: Figure 1 As shown, the following steps are included:

[0035] Step 1: Based on the stepped double-lapped excavation repair theory, considering the feasibility, strength and efficiency of the repair, the repair parameters are set, including the thickness of the single excavation layer, the number of excavation layers, the overlap length, the overlap width, the number of reinforcement layers, the overlap length of the reinforcement layer, the overlap width of the reinforcement layer and the interface strain energy parameters. Parametric quantitative design is adopted for the repair parameters, which are parameter optimization design variables and parameter optimization design invariants.

[0036] The parameter optimization design variables in step 1 are as follows: Figure 2As shown, including overlap length, overlap width, overlap length of reinforcing layer, overlap width of reinforcing layer and number of reinforcing layers, this embodiment assumes after investigation that the overlap length is 80mm, 100mm, 120mm, 140mm; the overlap width is 40mm, 60mm, 80mm; the overlap length of reinforcing layer is 60mm, 80mm, 100mm; the overlap width of reinforcing layer is 20mm, 40mm, 60mm; the number of reinforcing layers is 1, 2, 3, 4; for these 17 numbers The values ​​are numbered, with four different lap lengths being numbered L11, L12, L13 and L14; three different lap widths being numbered W11, W12 and W13; three different reinforcement layer lap lengths being numbered A11, A12 and A13; three different reinforcement layer lap widths being numbered B11, B12 and B13; and four different numbers of reinforcement layers being numbered C11, C12, C13 and C14.

[0037] The parameter optimization design invariants in step 1 are as follows: Figure 3 As shown in the figure, they are the single-layer thickness of the patch, the number of patch layers and the interface strain energy parameter. Among them, the single-layer thickness of the patch is the single-layer thickness of the material, and the single-layer thickness of the material is after the fiber resin is cured; the number of patch layers is the same as the number of layers where the damage is located on the surface, and it must be controlled within 5% to 25% of the total number of layers of the main beam; the interface strain energy parameter is G IC =0.969kJ / m2, G IIC =1.717kJ / m2. The values ​​listed are obtained through research.

[0038] Step 2: According to step 1, by defining the numerical range of each parameter optimization design variable, a quantitative matching scheme of multiple parameter optimization design variables is designed to realize the parametric design method of stepped double overlap excavation and repair parameters.

[0039] The quantitative matching schemes in step 2 are 432 schemes composed of 17 quantitative numerical combinations of five parameter optimization design variables after the parameters are repaired by parameter optimization design. Figure 4 Some matching options are shown for reference.

[0040] Step 3: According to step 2, combined with the parametric design method of the stepped double-lapped patch repair parameters and the blade main beam design requirements, based on the finite element numerical simulation software, the laminated plate layer-by-layer stacking modeling method is adopted to programmatically create the main beam repair analysis model, including the motherboard, patch, reinforcement layer and repair interface, and set the repair analysis model variables at the same time. Then the model coordinate system is established, with the x direction as the 1st direction, the y direction as the 2nd direction, and the z direction as the 3rd direction by default.

[0041] The repair analysis model variables in step 3 include the model length, width, height, ply type, single layer thickness, damage size, damage location, and the properties of the motherboard, patch, reinforcement layer, and repair interface unit. In this embodiment, the main beam repair analysis model is set to 1000mm×200mm×9mm (length, width, height), ply type [0°]10, single layer thickness 0.9mm, the damage is located at the third layer from the center of the equivalent model to the surface, and the damage size is 40mm×20mm. It is meshed, and the mesh properties are as follows: Figure 5 As shown in the figure, the motherboard, patch and reinforcement layer models are all meshed using C3D8R units, and the repair interface is discretized using COH3D8 units.

[0042] Step 4: According to Step 1, Step 2 and Step 3, the boundary conditions are set for the repair analysis model, which are mainly expressed as the left end is completely fixed and the right end is subjected to a uniform tensile load along the fiber laying direction (0° direction). Then, the normal peeling stress distribution along the stepped overlap area of ​​the repair analysis model corresponding to the parametric design method of each stepped double overlap repair parameter is calculated, as well as the distribution law of the repair failure strength and deformation.

[0043] The normal peeling stress distribution in step 4 is defined by selecting a path u along the symmetry axis in the width direction of the repair interface and extending it to the free surface of the repair end. The nodal stress is extracted using finite element software, such as Figure 6 In the node extraction path shown, the local coordinate system of the repair interface parallel to the fiber direction is the same as the global coordinate system, and the local coordinate system 1 and 3 directions of the repair interface perpendicular to the fiber direction are interchanged.

[0044] The distribution law of the repair failure strength and deformation in step 4 is the load-displacement change relationship of the model under different quantitative matching schemes, which can be intuitively represented by a curve graph. Figure 7 The load-displacement variation relationship of the model is shown for reference when the lap length is the parameter optimization design variable and the other repair parameters are the parameter optimization design invariants.

[0045] Step 5: According to step 4, the parameter optimization design variables are used as optimization variables, and the intelligent optimization algorithm is used to optimize the design of the stepped repair parameters of the wind turbine blade structure damage. The best repair plan is determined by analyzing the repair failure strength and stress distribution state of the overlap area of ​​the parametric design method.

[0046] The stress distribution state of the overlap area in step 5 is the normal peeling stress distribution state. This embodiment analyzes the normal peeling stress distribution process of the overlap area under the quantitative matching scheme after the optimization design of each repair parameter, which can be intuitively represented by a curve graph. Figure 8 The normal peeling stress distribution history is shown when the overlap length is the parameter optimization design variable and the other repair parameters are the parameter optimization design invariants for reference.

[0047] The best repair solution in step 5 is to use the parameter optimization design variables as the optimization variables, and to minimize the average stress of the normal peeling stress distribution along the stepped overlap area of ​​the repair analysis model as the optimization target. By designing a quantitative matching scheme, coordinating the parameter optimization design invariants and the finite element model variables, the repair failure strength and the stress distribution state of the overlap area of ​​the parametric design method are automatically calculated, thereby determining the best repair solution.

[0048] In another embodiment, the present invention proposes a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the wind turbine blade stepped patching and repairing method based on parametric optimization design of the aforementioned embodiment.

[0049] In another embodiment, the present invention proposes an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the step-type patching and repair method for wind turbine blades based on parametric optimization design of the aforementioned embodiment is implemented.

[0050] In the embodiments disclosed in the present application, the computer storage medium can be a tangible medium that can contain or store a program for use by or in conjunction with an instruction execution system, device or equipment. The computer storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the above. More specific examples of computer storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above.

[0051] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in this application 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 this application.

[0052] The above are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should be regarded as the protection scope of the present invention.

Claims

1. A step-type digging and repairing method for wind turbine blades based on parametric optimization design, the blade structure is aimed at the main beam, characterized in that: The steps include: Step 1: Based on the stepped double-lapped excavation and patching repair theory, the repair parameters are set, and parametric quantitative design is adopted for the repair parameters to obtain parameter optimization design variables and parameter optimization design invariants; Step 2: Define the numerical range of each parameter optimization design variable, design a quantitative matching scheme for multiple parameter optimization design variables, and implement a parametric design method for step-type double-lap excavation and repair parameters; Step 3: Combined with the parametric design method of stepped double-lapped patch repair parameters and the blade main beam design requirements, based on the finite element numerical simulation software, the layer-by-layer stacking modeling method of the laminate is adopted to programmatically create a repair analysis model, and at the same time set the repair analysis model variables; Step 4: Set boundary conditions for the repair analysis model; Step 5: Taking the parameter optimization design variables as the optimization variables, in combination with the parameter optimization design invariants and the repair analysis model variables, the intelligent optimization algorithm is used to optimize the design of the stepped double-lap patching repair parameters for wind turbine blade structural damage. The best repair plan is determined by analyzing the repair failure strength and stress distribution state of the overlap area of ​​the parametric design method.

2. A wind turbine blade stepped patching and repairing method based on parametric optimization design as claimed in claim 1, characterized in that: In step 1, the parameter optimization design variables include overlap length, overlap width, reinforcement layer overlap length, reinforcement layer overlap width and number of reinforcement layers; the parameter optimization design invariants include single-layer thickness of the patch, number of patch layers and interface strain energy parameters.

3. A wind turbine blade stepped patching and repairing method based on parametric optimization design as claimed in claim 2, characterized in that: In step 2, the quantitative matching schemes are multiple schemes formed by matching multiple quantitative numerical combinations of multiple parameter optimization design variables.

4. The method for repairing wind turbine blades with stepped patching based on parametric optimization design according to claim 1, characterized in that: In step 3, the repair analysis model includes a motherboard, a patch, a reinforcement layer and a repair interface, and the repair analysis model variables include model length, width and height, ply form, single layer thickness, damage size, damage location, and unit properties of the motherboard, patch, reinforcement layer and repair interface.

5. The method for repairing wind turbine blades with stepped patching based on parametric optimization design according to claim 1, characterized in that: In step 4, the setting of boundary conditions includes: When one end is completely fixed and a uniform tensile load is applied along the fiber laying direction at the other end, the normal peeling stress distribution along the stepped overlap area of ​​the repair analysis model corresponding to the parametric design method for each stepped double lap patching repair parameter, as well as the distribution law of repair failure strength and deformation are calculated.

6. A wind turbine blade stepped patching and repairing method based on parametric optimization design as claimed in claim 5, characterized in that: The normal peeling stress distribution is obtained by selecting a path along the symmetry axis in the width direction of the repair interface and extending it to the free surface of the repair end, and extracting the node stress using finite element software; The distribution law of the repair failure strength and deformation is the load-displacement variation relationship of the repair analysis model under different quantitative matching schemes.

7. The method for repairing wind turbine blades with stepped patching based on parametric optimization design according to claim 1, characterized in that: In step 5, the stress distribution state of the overlap region is a normal peeling stress distribution state, which is obtained by analyzing the normal peeling stress distribution history of the overlap region under each quantitative matching scheme.

8. The method for repairing wind turbine blades with stepped patching based on parametric optimization design according to claim 1, characterized in that: In step 5, the best repair solution is determined as follows: Taking the parameter optimization design variables as the optimization variables and the minimization of the average stress of the normal peeling stress distribution along the stepped overlap area of ​​the repair analysis model as the optimization target, the repair failure strength and the stress distribution state of the overlap area of ​​the parametric design method are automatically calculated through a quantitative matching scheme, in combination with the parameter optimization design invariants and the repair analysis model variables, so as to determine the best repair scheme.

9. A computer-readable storage medium storing a computer program, characterized in that: The computer program enables the computer to execute the wind turbine blade stepped patching and repair method based on parametric optimization design as described in any one of claims 1 to 8.

10. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the step-patching and repairing method for wind turbine blades based on parametric optimization design as described in any one of claims 1 to 8 is implemented.

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