Physical model preparation method and system of offshore wind power tower tube structure

Abstract

The invention belongs to the technical field of ocean engineering, and particularly discloses a preparation method and system for a physical model of an offshore wind power tower tube structure, and the preparation method comprises the following steps: S1, determining a tower tube target value of the tower tube structure under the scale of the physical model; s2, constructing a design module of tower drum parameters, and outputting a design parameter matrix of the tower drum structure physical model; s3, calculating the tower performance under the current tower parameters according to the design parameter matrix of the tower structure physical model; and S4, judging whether the tower drum performance calculated in the step S3 meets requirements or not, if so, outputting a design parameter matrix and establishing a tower drum physical model according to the design parameter matrix, and otherwise, returning to the step S2 to redesign the parameter matrix. According to the method, the design parameter scheme of the model tower drum can be automatically determined, the feasibility of the scheme is judged, the calculation efficiency is improved by utilizing an analysis method, and meanwhile, the complexity of gradually modifying the design parameters manually and carrying out modeling calculation is avoided.

Description

Technical Field

[0001] The present invention relates to the field of marine engineering technology, and in particular to a method and system for preparing a physical model of an offshore wind power tower structure. Background Art

[0002] The tower is a key structural component in offshore wind turbine systems, connecting the lower foundation to the upper turbine and transmitting loads. Therefore, during physical model testing, it is crucial to ensure that the tower's physical model reflects the mechanical properties of the tower at prototype scale.

[0003] Existing methods require iterative design based on the finite element method to ensure that the first-order bending stiffness between the tower's physical model and the prototype is similar. However, because the finite element method requires discretization of the structure and the construction of a large-dimensional set of equations for solution, the computational efficiency is low, and multiple iterative calculation processes also require the reconstruction of the tower's geometric model, which also consumes a lot of time. In addition, because existing methods cannot guarantee that the quality of the tower's physical model and prototype is similar, this will not only cause the mechanical properties of the tower at the physical model scale to differ from the prototype scale, but will also bring additional difficulties to the quality design of other structural components of the physical model of the offshore wind power system.

[0004] In summary, it is now necessary to design a physical model preparation method and system for an offshore wind turbine tower structure to solve the above problems in the prior art. Summary of the Invention

[0005] The present invention provides a method and system for preparing a physical model of an offshore wind power tower structure, which solves the technical problem in the prior art that the performance of the physical model of the tower is quite different from the performance of the actual tower.

[0006] In order to achieve the purpose of solving the above technical problems, the present invention adopts the following technical solutions: A method for preparing a physical model of an offshore wind turbine tower structure comprises the following steps: Step S1, determining a tower target value of the tower structure at the physical model scale; the tower target value includes a tower length target value, a tower mass target value, and a tower first-order bending natural frequency target value; Step S2: constructing a tower parameter design module and outputting a design parameter matrix of the tower structure physical model; the design module includes a material selection unit and a tower cross-section size calculation unit; Step S3: Calculate the tower performance under the current tower parameters according to the design parameter matrix of the tower structure physical model; Step S4: determine whether the tower performance calculated in step S3 meets the requirements. If so, output the design parameter matrix and establish the tower physical model based on it. Otherwise, return to step S2 to redesign the parameter matrix.

[0007] In some embodiments of the present invention, step S3 includes the following steps: Calculate the section inertia moment I of the model tower S ; The tower and upper unit are simplified into a cantilever beam model with concentrated mass, and the governing equations for Euler-Bernoulli beam vibration are constructed. Newton iteration method is used to solve β; The tower performance is calculated using the following formula, i.e. the first-order bending natural frequency of the model tower: : ; Among them, L S is the length of the model tower, which is equal to the target length; m S is the mass per unit length of the model tower.

[0008] In some embodiments of the present invention, step S4 specifically includes the following steps: Calculate the difference between the first-order bending natural frequency of the model tower and the target value of the first-order bending natural frequency of the tower; Compare the difference to a threshold; If the difference is not less than the threshold, return to step S2 to calculate the next round of model tower design parameter matrix; If the difference is less than the threshold, the current design parameter matrix is ​​recorded and the tower physical model is established based on it.

[0009] In some embodiments of the present invention, the material selection unit is provided with a correspondence table between materials, elastic modulus and density; when a material is selected, it outputs the corresponding elastic modulus and density as elements in the design parameter matrix.

[0010] In some embodiments of the present invention, the tower cross-sectional size calculation unit is used to output the tower outer diameter and the tower inner diameter as elements in the design parameter matrix; the tower cross-sectional size calculation unit is provided with a starting cycle value and a value spacing of the tower outer diameter; and is also provided with a value range and a value spacing of the tower inner diameter; wherein the value spacing of the tower outer diameter is equal to the value spacing of the tower inner diameter.

[0011] In some embodiments of the present invention, the starting cycle value is the minimum value of the range of values ​​of the tower outer diameter; the calculation formula of the starting cycle value is: ; Among them, D s,minis the starting cycle value, M T is the tower mass target value; ρ s is the density; L T is the target value of tower length; The maximum value D of the tower outer diameter range s,max =n×D s,min , where n is an integer greater than 1.

[0012] In some embodiments of the present invention, the range of the inner diameter includes the lower limit d s1 and the upper limit of inner diameter d s2 ; The lower limit of the inner diameter d s1 The calculation formula is: ; The upper limit of the inner diameter d s2 The calculation formula is: ; Among them, D s is the outer diameter, M T is the tower mass target value; δ M is the permissible error of the set quality; ρ s is the density; L T is the target value of tower length.

[0013] In some embodiments of the present invention, a physical model preparation system for an offshore wind turbine tower structure is provided, which is used to implement a physical model preparation method, including: A tower target value calculation module is used to determine the tower target value at the model scale according to the scale ratio; A tower parameter design module is used to calculate and output a design parameter matrix based on the tower target value; the design parameter matrix includes the tower length target value, tower outer diameter, tower inner diameter, elastic modulus and density; A model performance calculation module, which is used to calculate the performance parameters of the model according to the design parameter matrix; A design parameter determination module is used to determine a design parameter matrix based on the comparison results between the performance parameters and the tower target values; Communication module, used for communicating with external devices.

[0014] In some embodiments of the present invention, an electronic device is provided, comprising: a processor, and a memory and a transceiver communicatively connected to the processor; The memory stores computer-executable instructions; the transceiver is used to transmit and receive data; The processor executes the computer-executable instructions stored in the memory to implement the above-mentioned section load analysis method.

[0015] In some embodiments of the present invention, a computer-readable storage medium is provided, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the above-mentioned section load analysis method when executed by a processor.

[0016] The technical solution of the present invention has the following technical effects compared with the prior art: By setting up a multi-objective function, the present invention can achieve simultaneous similarity between the length, mass, and first-order bending natural frequency of the model tower and the prototype-scale tower, thus achieving the greatest possible similarity in mechanical properties between the model tower and the prototype-scale tower. Furthermore, by setting up variable coverage inputs for multiple material parameters and cross-sectional dimensions, and subsequently implementing a model tower performance solution module, it is possible to automatically determine the design parameter scheme for the model tower and determine the feasibility of the scheme. This analytical method improves computational efficiency while avoiding the complexity of manually modifying design parameters and performing modeling calculations.

[0017] The finite element method in the existing technology requires modeling and calculation, and a single calculation takes nearly 30 minutes. The iterative method of the present invention takes less than 2 seconds for a single calculation. The results of the model tower performance calculation module of the present invention are basically consistent with the calculation results of the finite element method, and have high calculation accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 The figure is a flow chart of a physical model preparation method according to an embodiment of the present invention.

[0020] Figure 2 It is a structural schematic diagram of a physical model preparation system shown in an embodiment of the present invention.

[0021] Figure 3 Schematic diagram of the structure of the electronic device.

[0022] Figure numerals: 100, physical model preparation system; 110, tower target value calculation module; 120, tower parameter design module; 130, model performance calculation module; 140, design parameter determination module; 150, communication module; 200, electronic device; 210, processor; 220, memory; 230, transceiver. DETAILED DESCRIPTION

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0024] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "installed," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections. A person of ordinary skill in the art can understand the specific meanings of the above terms in the present invention in specific circumstances. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any appropriate manner in any one or more embodiments or examples.

[0025] Example 1: Reference Figure 1 As shown, this embodiment provides a method for preparing a physical model of an offshore wind turbine tower structure, comprising the following steps: Step S1, determining a tower target value of the tower structure at the physical model scale; the tower target value includes a tower length target value, a tower mass target value, and a tower first-order bending natural frequency target value; Since the wave loads on offshore wind turbines are mainly inertial forces, most scaled tests of physical models are scaled according to the Froude number.

[0026] Furthermore, the scale ratio λ of the physical model test is determined based on the limitations of the test site, environmental conditions, and the geometric dimensions of the offshore wind turbine system at prototype scale.

[0027] According to the length of the tower at the prototype scale, determine the target value L of the tower length at the model scale T : ; Furthermore, according to the mass M of the tower prototype P , determine the tower mass target value under the model scale: ; Here, γ is 1.025.

[0028] Furthermore, according to the first-order bending stiffness natural frequency ω of the tower prototype scale P , the target value of the first-order bending natural frequency of the tower under the model scale ω T : ; The target values ​​(length, mass, and first-order bending natural frequency) of the tower design at the model scale determined based on the above steps can basically meet the mechanical properties similar to those of the prototype-scale tower.

[0029] Step S2: constructing a tower parameter design module and outputting a design parameter matrix of the tower structure physical model; the design module includes a material selection unit and a tower cross-section size calculation unit; The design parameter matrix includes the tower length target value L T , Tower outer diameter D s 、Tower inner diameter d s , elastic modulus E s and density ρ s .

[0030] For the tower length target value L T , that is, the model tower length L in the design parameter matrix output by the design module s The tower length target value L is used T To replace.

[0031] Step S21: construct a material selection unit for the model tower, wherein the material selection unit is provided with a correspondence table between materials, elastic modulus and density; after a material is selected, the corresponding elastic modulus and density are output as elements in a design parameter matrix.

[0032] For example: steel, aluminum, etc., determine the elastic modulus E of the model tower based on the selected material s and density ρ s .

[0033] Step S22: construct a tower cross-section size calculation unit for the model tower; the tower cross-section size calculation unit is used to output the tower outer diameter D s and the inner diameter of the tower as elements in the design parameter matrix; the cross-sectional dimensions of the tower include: the outer diameter D s and the inner diameter of the tower d s The tower section size calculation unit is provided with the tower outer diameter D s The starting cycle value and value interval of the tower inner diameter d s The value range and value spacing of the tower outer diameter D s The value interval and the tower inner diameter d s The values ​​are equally spaced.

[0034] S221, for the outer diameter of the tower D s , which is a one-dimensional vector of 1*M, D s is the outer diameter value selected from the outer diameter measurement at each output, M is the number of tower outer diameters selected, and its value range is D s,min to Ds,max , the spacing ΔD is .

[0035] For the tower outer diameter D s The lower limit of the value range D s,min Assuming the model tower is a solid column, the starting cycle value of the tower outer diameter is determined to be D s,min .

[0036] The calculation formula of the starting cycle value is: ; Among them, D s,min is the starting cycle value, M T is the tower mass target value; ρ s is the density; L T is the target value of tower length; The maximum value D of the tower outer diameter range s,max =n×D s,min , where n is an integer greater than 1.

[0037] That is to say, the outer diameter of the tower D s The value range is [D s,min , n×D s,min ].

[0038] During the second cycle, the material of the tower remains unchanged and its outer diameter D s The value is: D s,min +ΔD.

[0039] S222, for the inner diameter of the tower d s In the first cycle, the model tower is assumed to be a solid column, so the inner diameter of the tower d s is 0.

[0040] Starting from the second layer of circulation, at each tower outer diameter D s Under the output value, each corresponds to an inner radial quantity, d s The inner diameter value selected from the inner diameter value at each output. Its dimension changes with the outer diameter output value, and its transformation range is d s1 to d s2 , the spacing is consistent with the outer diameter change spacing.

[0041] Using the tower mass target value M T Determine the inner diameter d of the tower during the second layer of circulation s The value range is as follows: Set the quality tolerance to δ M , The lower limit of the inner diameter d s1 The calculation formula is: ; The upper limit of the inner diameter ds2 The calculation formula is: ; Among them, D s is the outer diameter, M T is the tower mass target value; δ M is the permissible error of the set quality; ρ s is the density; L T is the target value of tower length.

[0042] Step S3: Calculate the tower performance under the current tower parameters according to the design parameter matrix of the tower structure physical model; S31. Calculate the section inertia moment I of the model tower S The calculation formula is as follows: ; Where α is the inner diameter of the tower d s and the tower outer diameter D s ratio.

[0043] S32. Simplify the tower and upper unit into a cantilever beam model with concentrated mass, and construct the governing equations for Euler-Bernoulli beam vibration; Specifically, the following steps are included: S321. Calculate the cross-sectional area A of the model tower S : ; Calculate the mass M of the model tower S : ; Record the M obtained from this calculation S ; Calculate the mass per unit length of the model tower m S : .

[0044] S322, the concentrated mass M introduced into the top of the tower T ; Establish the governing equations for the vibration of the Euler-Bernoulli beam: ; Where w(x,t) is the deflection of the tower at position x and time t; Furthermore, the separation of variables method is used to decompose w(x,t) to obtain: w(x,t)=Y(x)T(t); Furthermore, bringing it back to the control equation: ; Furthermore, we get two independent equations: Time part: ; Space part: ,in .

[0045] After separating the time term from the space term, the boundary conditions of the differential equation of the space term are constructed; Among them, the boundary conditions at the bottom of the model tower (x=0) are: Y(x)=0; ; Model tower top (x=L S ) boundary conditions are: ; ; Furthermore, the general solution of Y(x) is: ; Furthermore, the general solution of Y(x) is substituted into the four boundary conditions in turn and simplified to obtain the frequency equation:

[0046] S33. Use Newton's iteration method to solve β.

[0047] S34. Calculate the tower performance using the following formula: the first-order bending natural frequency of the model tower : ; Among them, L S is the length of the model tower, which is equal to the target length; m S is the mass per unit length of the model tower.

[0048] Step S4: determine whether the tower performance calculated in step S3 meets the requirements. If so, output the design parameter matrix and establish the tower physical model based on it. Otherwise, return to step S2 to redesign the parameter matrix.

[0049] S41. Calculate the difference between the first-order bending natural frequency of the model tower and the target value of the first-order bending natural frequency of the tower; Compare the difference with the threshold; use the following formula to make a judgment: ; Among them, ω T is the target value of the first-order bending natural frequency of the tower; δ ω is the threshold, S42: If the difference is not less than the threshold, return to step S22 to calculate the next round of model tower design parameter matrix; S43. If the difference is less than the threshold, the current design parameter matrix is ​​recorded and a tower physical model is established based on the matrix.

[0050] In some embodiments of the present application, if the current design parameter matrix meets the performance requirements, it is recorded in the tower design parameter matrix that meets the requirements; other materials are continued to be selected, and iterative calculations are performed to obtain a design parameter matrix that meets the requirements. Finally, different design schemes in the tower design parameter matrix are compared, and the optimal design parameter scheme is selected based on cost and processing convenience.

[0051] The technical solution of the present invention has the following technical effects compared with the prior art: By setting up a multi-objective function, the present invention can achieve simultaneous similarity between the length, mass, and first-order bending natural frequency of the model tower and the prototype-scale tower, thus achieving the greatest possible similarity in mechanical properties between the model tower and the prototype-scale tower. Furthermore, by setting up variable coverage inputs for multiple material parameters and cross-sectional dimensions, and subsequently implementing a model tower performance solution module, it is possible to automatically determine the design parameter scheme for the model tower and determine the feasibility of the scheme. This analytical method improves computational efficiency while avoiding the complexity of manually modifying design parameters and performing modeling calculations.

[0052] The finite element method in the existing technology requires modeling and calculation, and a single calculation takes nearly 30 minutes. The iterative method of the present invention takes less than 2 seconds for a single calculation. The results of the model tower performance calculation module of the present invention are basically consistent with the calculation results of the finite element method, and have high calculation accuracy.

[0053] Example 2: Reference Figure 2 and Figure 3 As shown, a physical model preparation system 100 and an electronic device 200 for an offshore wind turbine tower structure are provided, wherein the physical model preparation system 100 is used to implement a physical model preparation method, including: A tower target value calculation module 110 is used to determine the tower target value at the model scale according to the scale ratio; A tower parameter design module 120 is configured to calculate and output a design parameter matrix based on a tower target value; the design parameter matrix includes a tower length target value, a tower outer diameter, a tower inner diameter, an elastic modulus, and a density; A model performance calculation module 130, which is used to calculate the performance parameters of the model according to the design parameter matrix; A design parameter determination module 140 is configured to determine a design parameter matrix based on a comparison result between the performance parameter and the tower target value; The communication module 150 is used to communicate with external devices.

[0054] It should be understood that the physical model preparation system 100 here is embodied in the form of a functional module. The term "module" here can refer to an application specific integrated circuit (ASIC), an electronic circuit, a processor (such as a shared processor, a proprietary processor or a group processor, etc.) and a memory for executing one or more software or firmware programs, a combined logic circuit and / or other suitable components that support the described functions. In an optional example, those skilled in the art will understand that the physical model preparation system 100 can be specifically the electronic device 200 in the above embodiment, or the functions of the electronic device 200 in the above embodiment can be integrated in the physical model preparation system 100, and the physical model preparation system 100 can be used to execute the various processes and / or steps corresponding to the electronic device 200 in the above method embodiment. To avoid repetition, they will not be described here.

[0055] The physical model preparation system 100 has the functions of implementing the corresponding steps performed by the electronic device 200 of the physical model preparation method in Example 1. These functions can be implemented through hardware or through hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the above functions. For example, the acquisition module can be a communication interface, such as a transceiver interface.

[0056] In the embodiments of this application, Figure 2 The physical model preparation system 100 may also be a chip or a chip system, such as a system on chip (SoC).

[0057] Example 3: Reference Figure 3 As shown, an electronic device 200 is provided, including: A processor 210, and a memory 220 and a transceiver 230 communicatively connected to the processor; The memory 220 stores computer-executable instructions; the transceiver 230 is used to send and receive data; The processor 210 executes the computer-executable instructions stored in the memory 220 to implement the physical model preparation method in Example 1.

[0058] It should be understood that the electronic device 200 can be used to execute the corresponding steps and / or processes in the above-mentioned method embodiments. Optionally, the memory 220 may include a read-only memory and a random access memory, and provide instructions and data to the processor. A portion of the memory 220 may also include a non-volatile random access memory. For example, the memory 220 may also store device type information. The processor 210 can be used to execute the instructions stored in the memory 220, and when the processor 210 executes the instructions, the processor 210 may perform the corresponding steps and / or processes in the above-mentioned method embodiments.

[0059] It should be understood that in the embodiment of the present application, the processor 210 may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0060] During implementation, each step of the above method can be completed by an integrated logic circuit of the hardware in the processor 210 or by instructions in the form of software. The steps of the method disclosed in conjunction with the embodiments of the present application can be directly embodied as being executed by a hardware processor, or can be executed by a combination of hardware and software modules in the processor 210. The software module can be located in a storage medium mature in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory, and the processor executes the instructions in the memory, and completes the steps of the above method in combination with its hardware. To avoid repetition, it will not be described in detail here.

[0061] Example 4: In this example, a computer-readable storage medium is provided, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the physical model preparation method in Example 1.

[0062] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, 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.

[0063] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0064] In addition, each functional unit in each embodiment of the present application 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.

[0065] 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 application, 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 and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0066] In the description of the above embodiments, specific features, structures, materials or characteristics may be combined in an appropriate manner in any one or more embodiments or examples.

[0067] The above are only specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A method for preparing a physical model of an offshore wind turbine tower structure, characterized in that: The following steps are involved: Step S1, determining a tower target value of the tower structure at the physical model scale; the tower target value includes a tower length target value, a tower mass target value, and a tower first-order bending natural frequency target value; Step S2: constructing a tower parameter design module and outputting a design parameter matrix of the tower structure physical model; the design module includes a material selection unit and a tower cross-section size calculation unit; Step S3: Calculate the tower performance under the current tower parameters according to the design parameter matrix of the tower structure physical model; Step S4: determine whether the tower performance calculated in step S3 meets the requirements. If so, output the design parameter matrix and establish the tower physical model based on it. Otherwise, return to step S2 to redesign the parameter matrix.

2. The method for preparing a physical model of an offshore wind turbine tower structure according to claim 1, characterized in that: Calculate the section inertia moment I of the model tower S ; The tower and upper unit are simplified into a cantilever beam model with concentrated mass, and the governing equations for Euler-Bernoulli beam vibration are constructed. Newton iteration method is used to solve β; The tower performance is calculated using the following formula, i.e. the first-order bending natural frequency of the model tower: : ； Among them, L S is the length of the model tower, which is equal to the target length; m S is the mass per unit length of the model tower.

3. The method for preparing a physical model of an offshore wind turbine tower structure according to claim 1, characterized in that: The step S4 specifically includes the following steps: Calculate the difference between the first-order bending natural frequency of the model tower and the target value of the first-order bending natural frequency of the tower; Compare the difference to a threshold; If the difference is not less than the threshold, return to step S2 to calculate the next round of model tower design parameter matrix; If the difference is less than the threshold, the current design parameter matrix is ​​recorded and the tower physical model is established based on it.

4. The method for preparing a physical model of an offshore wind turbine tower structure according to claim 1, characterized in that: The material selection unit is provided with a correspondence table between materials, elastic modulus and density; when a material is selected, it outputs the corresponding elastic modulus and density as elements in the design parameter matrix.

5. The method for preparing a physical model of an offshore wind turbine tower structure according to claim 1, characterized in that: The tower cross-section size calculation unit is used to output the tower outer diameter and the tower inner diameter as elements in the design parameter matrix; the tower cross-section size calculation unit is provided with a starting cycle value and a value spacing of the tower outer diameter; and is also provided with a value range and a value spacing of the tower inner diameter; wherein the value spacing of the tower outer diameter is equal to the value spacing of the tower inner diameter.

6. The method for preparing a physical model of an offshore wind turbine tower structure according to claim 5, characterized in that: The starting cycle value is the minimum value of the tower outer diameter range; the calculation formula of the starting cycle value is: ; Among them, D s,min is the starting cycle value, M T is the tower mass target value; ρ s is the density; L T is the target value of tower length; The maximum value D of the tower outer diameter range s,max =n×D s,min , where n is an integer greater than 1.

7. The method for preparing a physical model of an offshore wind turbine tower structure according to claim 5, characterized in that: The value range of the inner diameter includes the lower limit d s1 and the upper limit of inner diameter d s2 ; The lower limit of the inner diameter d s1 The calculation formula is: ; The upper limit of the inner diameter d s2 The calculation formula is: ; Among them, D s is the outer diameter, M T is the tower mass target value; δ M is the permissible error of the set quality; ρ s is the density; L T is the target value of tower length.

8. A physical model preparation system for an offshore wind turbine tower structure, which is used to implement a physical model preparation method, characterized in that: include: A tower target value calculation module is used to determine the tower target value at the model scale according to the scale ratio; A tower parameter design module is used to calculate and output a design parameter matrix based on the tower target value; the design parameter matrix includes the tower length target value, tower outer diameter, tower inner diameter, elastic modulus and density; A model performance calculation module, which is used to calculate the performance parameters of the model according to the design parameter matrix; A design parameter determination module is used to determine a design parameter matrix based on the comparison results between the performance parameters and the tower target values; Communication module, used for communicating with external devices.

9. An electronic device, characterized in that: include: a processor, and a memory and a transceiver communicatively connected to the processor; The memory stores computer-executable instructions; the transceiver is used to transmit and receive data; The processor executes the computer-executable instructions stored in the memory to implement the physical model preparation method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the physical model preparation method according to any one of claims 1 to 7.

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