Offshore wind power pile optimization method and device based on weak underlying layer bearing capacity checking calculation

Abstract

The invention discloses an offshore wind power pile optimization method and device based on weak underlying layer bearing capacity checking calculation, and belongs to the field of offshore wind power pile optimization. The method comprises the steps that firstly, the stress spread angle corresponding to a bearing stratum where the pile end of the offshore wind power pile is located, the pile end diameter, the bearing capacity characteristic value corresponding to a soft underlying layer and the vertical distance from the pile end to the soft underlying layer are obtained; determining a stress diffusion range corresponding to the top surface of the soft underlying layer according to the parameters; according to the stress diffusion range and the bearing capacity characteristic value, a bearing capacity contribution value calculation formula is adopted to obtain a pile end additional load corresponding to the soft underlying layer; finally, according to the first preset pile end design load and the pile end additional load, the final pile length corresponding to the offshore wind power pile is output, and the offshore wind power pile is optimized accordingly. And the construction cost of the offshore wind power pile is reduced.

Description

Technical Field

[0001] This invention relates to the field of offshore wind turbine pile optimization, and in particular to an offshore wind turbine pile optimization method and apparatus based on the bearing capacity verification of a weak underlying layer. Background Technology

[0002] In the field of offshore wind power pile optimization, offshore wind power steel pipe piles are the core foundation components supporting offshore wind turbines. The core objective of their optimization design is to minimize engineering costs and resource consumption while ensuring that the pile foundation meets the requirements of bearing capacity, wind and wave resistance, and settlement control.

[0003] In existing technologies, the design of offshore wind turbine steel pipe piles is mostly based on the "Code for Design of Wind Power Foundations for Offshore Wind Farm Projects" (NB / T 10105-2018) and the "Code for Design of Building Pile Foundations" (JGJ 94-2008). When there is a weak underlying layer below the pile tip, the common approach is to "directly take the bearing capacity of the weak underlying layer" or "extend the pile length to penetrate the weak layer to the underlying hard soil layer." Furthermore, the codes have significant limitations (for example, NB / T 10105-2018 only stipulates that verification is required when the weak underlying layer is less than 6 meters from the pile tip, but does not provide specific calculation methods; JGJ 94-2008...). The verification method of 94-2008 is only applicable to pile group foundations with a pile spacing of no more than 6d, which is inconsistent with the actual scenario that the spacing of offshore wind power pile foundations is generally greater than 6d. Since the existing technology does not fully consider the stress diffusion effect at the pile end, and lacks a systematic verification system adapted to the characteristics of offshore wind power pile foundations, there are problems such as design redundancy, ineffective utilization of the bearing capacity of the pile end bearing layer, and excessive increase in pile length leading to a significant increase in steel consumption and project cost. Summary of the Invention

[0004] This invention provides an optimization method and device for offshore wind turbine piles based on the bearing capacity verification of weak underlying layers. It can solve the problem in the prior art of reducing the engineering cost of offshore wind turbine piles while ensuring the stability of the pile foundation and the bearing capacity of the pile tip.

[0005] In a first aspect, embodiments of the present invention provide an optimization method for offshore wind turbine piles based on the bearing capacity verification of weak underlying layers, including:

[0006] The stress diffusion angle corresponding to the bearing layer where the pile tip of the offshore wind turbine is located, the pile tip diameter, the bearing capacity characteristic value corresponding to the weak underlying layer, and the vertical distance between the pile tip and the weak underlying layer are obtained.

[0007] Based on the stress diffusion angle, the pile end diameter, and the vertical distance, the stress diffusion area calculation formula is used to determine the stress diffusion range corresponding to the top surface of the weak underlying layer.

[0008] Based on the stress diffusion range and the bearing capacity characteristic value, the additional load at the pile end corresponding to the weak underlying layer is obtained by using the bearing capacity contribution value calculation formula.

[0009] Based on the first preset pile end design load and the additional pile end load, the final pile length corresponding to the offshore wind turbine pile is output, and the offshore wind turbine pile is optimized based on the final pile length.

[0010] This application's embodiments effectively address the core pain points of existing technologies by clearly defining the complete logic for obtaining key parameters, calculating the stress diffusion range, determining the additional load at the pile tip, and optimizing the pile length. Breaking through traditional conservative design thinking, it incorporates the key parameter of the pile tip stress diffusion angle into the calculation, filling the gap in current standards regarding the lack of specific methods for verifying weak underlying layers in offshore wind turbine piles. By scientifically quantifying the bearing contribution of the weak underlying layer, it avoids redundant pile lengths caused by directly using the bearing capacity of the weak layer or blindly drilling through it, reducing steel consumption and project costs. Furthermore, it ensures pile foundation stability through comparison with design loads, achieving a balance between safety and economy, and adapting to the complex geological conditions and actual engineering needs of offshore wind power. Therefore, this application solves the problem in existing technologies of the difficulty in reducing the engineering cost of offshore wind turbine piles while ensuring the stability and bearing capacity of the steel pipe pile foundation.

[0011] As a preferred example of the first aspect, the determination of the stress diffusion range corresponding to the top surface of the weak underlying layer using the stress diffusion area calculation formula based on the stress diffusion angle, the pile end diameter, and the vertical distance is specifically as follows:

[0012] The horizontal diffusion distance from the outer side of the pile tip to the weak underlying layer is calculated based on the trigonometric function values ​​corresponding to the vertical distance and the stress diffusion angle.

[0013] Based on the pile tip diameter and the horizontal diffusion distance, the equivalent diameter corresponding to the diffusion range of the weak underlying layer is obtained;

[0014] Based on the equivalent diameter, the area of ​​the circle corresponding to the equivalent diameter is obtained using the formula for calculating the area of ​​a circle, and the area of ​​the circle is used as the stress diffusion range corresponding to the top surface of the weak underlying layer.

[0015] In this preferred example, the calculation of the stress diffusion range is transformed from fuzzy estimation to precise quantification through the step-by-step derivation of the horizontal diffusion distance, equivalent diameter, and circular area. It utilizes the trigonometric relationship between vertical distance and stress diffusion angle to calculate the horizontal diffusion distance, determines the equivalent diameter by combining it with the pile tip diameter, and finally derives the diffusion range using the circular area formula. Each step has clear mechanical basis and mathematical support, avoiding errors caused by unclear calculation logic in traditional design, and improving the practicality and accuracy of the entire optimization method.

[0016] As a preferred example of the first aspect, the additional load at the pile end corresponding to the weak underlying layer is obtained by using the bearing capacity contribution value calculation formula based on the stress diffusion range and the bearing capacity characteristic value, specifically as follows:

[0017] The additional load at the pile end corresponding to the weak underlying layer is obtained by multiplying the stress diffusion range and the bearing capacity characteristic value.

[0018] In this preferred example, the calculation logic of the additional load at the pile end is clearly defined as multiplying the stress diffusion range by the characteristic value of the bearing capacity. Based on the core principles of soil mechanics, this simplifies the calculation process while ensuring scientific accuracy.

[0019] As a preferred example of the first aspect, obtaining the stress diffusion angle corresponding to the bearing layer where the pile tip of the offshore wind turbine is located specifically involves:

[0020] Obtain the soil parameters corresponding to the bearing layer where the pile tip of the offshore wind turbine is located;

[0021] Based on the soil parameters, a pre-set triaxial test is used to determine the stress diffusion angle corresponding to the bearing layer where the pile tip of the offshore wind turbine is located.

[0022] In this preferred example, the stress diffusion angle is determined by obtaining soil parameters and using triaxial tests to ensure that the value closely matches the actual mechanical properties of the bearing stratum at the pile tip. In existing technologies, the stress diffusion angle often uses general empirical values, ignoring the differences in the physical and mechanical parameters of the bearing stratum in different sea areas, leading to significant calculation errors. This application, however, obtains the actual soil parameters of the bearing stratum through field drilling and then determines the diffusion angle using triaxial tests, ensuring that this key parameter is supported by field data and experimental verification, rather than relying on subjective assumptions. This method of obtaining parameters is adaptable to the geological differences in different sea areas; for example, the difference in diffusion angle between clay and sand layers can be accurately distinguished through experiments. This allows subsequent calculations of the stress diffusion range and additional load at the pile tip to better align with engineering realities, reducing design deviations caused by inaccurate parameters and improving the scientific rigor and adaptability of the entire optimization method.

[0023] As a preferred example of the first aspect, the step of outputting the final pile length corresponding to the offshore wind turbine pile based on the first preset pile end design load and the additional pile end load specifically includes:

[0024] Compare the additional load at the pile end with the first preset design load at the pile end;

[0025] If the additional load at the pile end is greater than or equal to the first preset pile end design load, then it is determined that the pile length of the offshore wind turbine pile meets the preset bearing capacity requirement, and the current pile length of the offshore wind turbine pile is output as the final pile length.

[0026] If the additional load at the pile end is less than the first preset pile end design load, the pile length corresponding to the offshore wind turbine pile is iteratively updated according to the first preset step size until the current pile length meets the first preset condition, and the current pile length is output as the final pile length.

[0027] In this preferred example, the pile length is determined by comparing the additional load with the design load. If it does not meet the requirements, iterative updates are performed according to a preset step size, transforming pile length optimization from a passive and conservative approach to a proactive and precise one. In existing technologies, pile length adjustments lack clear criteria, often resulting in over-lengthening or under-lengthening. This application sets clear thresholds: when the additional load is greater than or equal to the design load, the current pile length is directly adopted to avoid redundancy; when it is less than the design load, iterative adjustments are made according to the step size until the conditions are met. This prevents cost waste due to blindly lengthening the pile and avoids safety risks caused by under-lengthening. The iterative steps make pile length optimization operable. In engineering projects, the step size can be flexibly set according to actual geological conditions to quickly find the optimal pile length. This ensures the bearing capacity and stability of the pile foundation while minimizing steel consumption and construction costs, improving design efficiency and economy.

[0028] Secondly, the present invention provides an optimization device for offshore wind turbine piles based on the bearing capacity verification of a weak underlying layer, comprising: a data acquisition module, a first processing module, a second processing module, and an optimization module;

[0029] The data acquisition module is used to acquire the stress diffusion angle corresponding to the bearing layer where the pile tip of the offshore wind turbine is located, the pile tip diameter, the bearing capacity characteristic value corresponding to the weak underlying layer, and the vertical distance between the pile tip and the weak underlying layer.

[0030] The first processing module is used to determine the stress diffusion range corresponding to the top surface of the weak underlying layer based on the stress diffusion angle, the pile end diameter, and the vertical distance, using the stress diffusion area calculation formula.

[0031] The second processing module is used to obtain the additional load at the pile end corresponding to the weak underlying layer by using the bearing capacity contribution value calculation formula based on the stress diffusion range and the bearing capacity characteristic value.

[0032] The optimization module is used to output the final pile length corresponding to the offshore wind turbine pile based on the first preset pile end design load and the additional pile end load, and to optimize the offshore wind turbine pile based on the final pile length.

[0033] As a preferred example of the second aspect, the first processing module includes a first processing unit, a second processing unit, and a third processing unit;

[0034] The first processing unit is used to calculate the horizontal diffusion distance from the outer side of the pile end to the weak underlying layer based on the trigonometric function values ​​corresponding to the vertical distance and the stress diffusion angle.

[0035] The second processing unit is used to obtain the equivalent diameter corresponding to the diffusion range of the weak underlying layer based on the pile end diameter and the horizontal diffusion distance;

[0036] The third processing unit is used to obtain the circular area corresponding to the equivalent diameter using the circular area calculation formula, and to use the circular area as the stress diffusion range corresponding to the top surface of the weak underlying layer.

[0037] As a preferred example of the second aspect, the second processing module includes a fourth processing unit;

[0038] The fourth processing unit is used to multiply the stress diffusion range and the bearing capacity characteristic value to obtain the pile end additional load corresponding to the weak underlying layer.

[0039] As a preferred example of the second aspect, the data acquisition module includes a first data acquisition unit and a second data acquisition unit;

[0040] The first data acquisition unit is used to acquire soil parameters corresponding to the bearing layer where the pile tip of the offshore wind turbine is located;

[0041] The second data acquisition unit is used to determine the stress diffusion angle corresponding to the bearing layer where the pile tip of the offshore wind turbine is located by using a preset triaxial test based on the soil parameters.

[0042] As a preferred example of the second aspect, the optimization module includes a first optimization unit, a second optimization unit, and a third optimization unit;

[0043] The first optimization unit is used to compare the additional load at the pile end with the first preset pile end design load;

[0044] The second optimization unit is used to determine that the length of the offshore wind turbine pile meets the preset bearing capacity requirement if the additional load at the pile end is greater than or equal to the first preset pile end design load, and output the current pile length of the offshore wind turbine pile as the final pile length.

[0045] The third optimization unit is used to iteratively update the pile length corresponding to the offshore wind turbine pile according to the first preset step size if the additional load at the pile end is less than the first preset pile end design load, until the current pile length meets the first preset condition, and output the current pile length as the final pile length.

[0046] In summary, the embodiments of this application effectively address the core pain points of existing technologies by clearly defining the complete logic of obtaining key parameters, calculating the stress diffusion range, determining the additional load at the pile tip, and optimizing the pile length. Breaking through traditional conservative design thinking, it incorporates the key parameter of the pile tip stress diffusion angle into the calculation, filling the gap in current standards regarding the lack of specific methods for verifying weak underlying layers in offshore wind turbine piles. By scientifically quantifying the bearing contribution of the weak underlying layer, it avoids redundant pile lengths caused by directly taking the bearing capacity of the weak layer or blindly drilling through it, reducing steel consumption and project costs. Furthermore, it ensures pile foundation stability through comparison with design loads, achieving a balance between safety and economy, and adapting to the complex geological conditions and actual engineering needs of offshore wind power. Therefore, this application solves the problem in existing technologies of the difficulty in reducing the engineering cost of offshore wind turbine piles while ensuring the stability and bearing capacity of the steel pipe pile foundation.

[0047] Another embodiment of the present invention provides a terminal device, including: a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the steps of the offshore wind turbine pile optimization method based on the bearing capacity verification of a weak underlying layer as described in the present invention.

[0048] Another embodiment of the present invention also provides a computer-readable storage medium item, including: a stored computer program, which, when the computer program is running, controls the device where the computer-readable storage medium is located to perform the steps of the offshore wind turbine pile optimization method based on the weak underlying layer bearing capacity verification of the present invention. Attached Figure Description

[0049] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0050] Figure 1 This is a flowchart illustrating an embodiment of an experimental operation scoring method based on an atomized behavior tree provided by the present invention.

[0051] Figure 2 A construction diagram illustrating an embodiment of an experimental operation scoring method based on an atomized behavior tree provided by the present invention;

[0052] Figure 3 This is a schematic diagram of one embodiment of an experimental operation scoring device based on an atomized behavior tree provided by the present invention. Detailed Implementation

[0053] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0054] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0055] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0056] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0057] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0058] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0059] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0060] Example 1

[0061] See Figure 1 To address the challenge of reducing the construction cost of offshore wind turbine piles while ensuring the stability and end bearing capacity of existing steel pipe pile foundations, an embodiment of this invention provides an optimization method for offshore wind turbine piles based on the bearing capacity verification of weak underlying layers, comprising:

[0062] S1. Obtain the stress diffusion angle corresponding to the bearing layer where the pile tip of the offshore wind turbine is located, the pile tip diameter, the bearing capacity characteristic value corresponding to the weak underlying layer, and the vertical distance between the pile tip and the weak underlying layer.

[0063] In some embodiments of this application, obtaining the stress diffusion angle corresponding to the bearing layer where the pile tip of the offshore wind turbine is located specifically involves:

[0064] Obtain the soil parameters corresponding to the bearing layer where the pile tip of the offshore wind turbine is located;

[0065] Based on the soil parameters, a pre-set triaxial test is used to determine the stress diffusion angle corresponding to the bearing layer where the pile tip of the offshore wind turbine is located.

[0066] S2. Based on the stress diffusion angle, the pile end diameter, and the vertical distance, the stress diffusion area calculation formula is used to determine the stress diffusion range corresponding to the top surface of the weak underlying layer.

[0067] In some embodiments of this application, the step of determining the stress diffusion range corresponding to the top surface of the weak underlying layer using a stress diffusion area calculation formula based on the stress diffusion angle, the pile end diameter, and the vertical distance is specifically as follows:

[0068] The horizontal diffusion distance from the outer side of the pile tip to the weak underlying layer is calculated based on the trigonometric function values ​​corresponding to the vertical distance and the stress diffusion angle.

[0069] Based on the pile tip diameter and the horizontal diffusion distance, the equivalent diameter corresponding to the diffusion range of the weak underlying layer is obtained;

[0070] Based on the equivalent diameter, the area of ​​the circle corresponding to the equivalent diameter is obtained using the formula for calculating the area of ​​a circle, and the area of ​​the circle is used as the stress diffusion range corresponding to the top surface of the weak underlying layer.

[0071] Specifically, the formula for calculating the stress diffusion area is as follows:

[0072]

[0073] Where A is the stress diffusion area, d is the pile tip diameter, h is the vertical distance from the pile tip to the weak underlying layer, and θ is the stress diffusion angle.

[0074] S3. Based on the stress diffusion range and the bearing capacity characteristic value, the additional load at the pile end corresponding to the weak underlying layer is obtained by using the bearing capacity contribution value calculation formula.

[0075] In some embodiments of this application, the step of obtaining the additional pile end load corresponding to the weak underlying layer by using the bearing capacity contribution value calculation formula based on the stress diffusion range and the bearing capacity characteristic value is specifically as follows:

[0076] The additional load at the pile end corresponding to the weak underlying layer is obtained by multiplying the stress diffusion range and the bearing capacity characteristic value.

[0077] Specifically, the formula for calculating the bearing capacity contribution value is as follows:

[0078] Q = f ak ·A

[0079] Where Q is the additional load at the pile tip, f ak Let A be the characteristic value of bearing capacity, and let A be the stress diffusion range.

[0080] S4. Based on the first preset pile end design load and the additional pile end load, output the final pile length corresponding to the offshore wind turbine pile, and optimize the offshore wind turbine pile based on the final pile length.

[0081] In some embodiments of this application, the step of outputting the final pile length corresponding to the offshore wind turbine pile based on the first preset pile end design load and the additional pile end load specifically includes:

[0082] Compare the additional load at the pile end with the first preset design load at the pile end;

[0083] If the additional load at the pile end is greater than or equal to the first preset pile end design load, then it is determined that the pile length of the offshore wind turbine pile meets the preset bearing capacity requirement, and the current pile length of the offshore wind turbine pile is output as the final pile length.

[0084] If the additional load at the pile end is less than the first preset pile end design load, the pile length corresponding to the offshore wind turbine pile is iteratively updated according to the first preset step size until the current pile length meets the first preset condition, and the current pile length is output as the final pile length.

[0085] Specifically, to fully explain the process of outputting the final pile length corresponding to the offshore wind turbine pile based on the first preset pile end design load and the additional pile end load, and optimizing the offshore wind turbine pile based on the final pile length, the following scheme is used as an example:

[0086] like Figure 2 The diagram shows the construction drawings for offshore wind turbine piles. By comparing Q with the design load at the pile tip, if Q ≥ the design load, the current pile length meets the requirements, and there is no need to penetrate the weak layer; otherwise, the pile length can be appropriately increased or other reinforcement measures can be taken. For example, as shown in Table 1, in a certain offshore wind power project, the method of this invention was used to verify the weak underlying layer, reducing the pile length by 3 meters and saving approximately 30 tons of steel per pile, significantly reducing the project cost. Subsequent monitoring showed that the pile settlement and stability both met the design requirements.

[0087] Table 1 Comparison of Engineering Examples

[0088]

[0089] In summary, the embodiments of this application effectively address the core pain points of existing technologies by clearly defining the complete logic of obtaining key parameters, calculating the stress diffusion range, determining the additional load at the pile tip, and optimizing the pile length. Breaking through traditional conservative design thinking, it incorporates the key parameter of the pile tip stress diffusion angle into the calculation, filling the gap in current standards regarding the lack of specific methods for verifying weak underlying layers in offshore wind turbine piles. By scientifically quantifying the bearing contribution of the weak underlying layer, it avoids redundant pile lengths caused by directly taking the bearing capacity of the weak layer or blindly drilling through it, reducing steel consumption and project costs. Furthermore, it ensures pile foundation stability through comparison with design loads, achieving a balance between safety and economy, and adapting to the complex geological conditions and actual engineering needs of offshore wind power. Therefore, this application solves the problem in existing technologies of the difficulty in reducing the engineering cost of offshore wind turbine piles while ensuring the stability and bearing capacity of the steel pipe pile foundation.

[0090] Example 2

[0091] like Figure 3 As shown, based on the above method embodiments, corresponding device embodiments are provided;

[0092] An embodiment of the present invention provides an optimization device for offshore wind turbine piles based on the bearing capacity verification of a weak underlying layer, comprising: a data acquisition module 31, a first processing module 32, a second processing module 33, and an optimization module 34;

[0093] The data acquisition module 31 is used to acquire the stress diffusion angle corresponding to the bearing layer where the pile tip of the offshore wind turbine pile is located, the pile tip diameter, the bearing capacity characteristic value corresponding to the weak underlying layer, and the vertical distance between the pile tip and the weak underlying layer.

[0094] The first processing module 32 is used to determine the stress diffusion range corresponding to the top surface of the weak underlying layer by using the stress diffusion area calculation formula based on the stress diffusion angle, the pile end diameter and the vertical distance.

[0095] The second processing module 33 is used to obtain the additional load at the pile end corresponding to the weak underlying layer by using the bearing capacity contribution value calculation formula based on the stress diffusion range and the bearing capacity characteristic value.

[0096] The optimization module 34 is used to output the final pile length corresponding to the offshore wind turbine pile according to the first preset pile end design load and the additional pile end load, and to optimize the offshore wind turbine pile according to the final pile length.

[0097] In some embodiments of this application, the first processing module 32 includes a first processing unit, a second processing unit, and a third processing unit;

[0098] The first processing unit is used to calculate the horizontal diffusion distance from the outer side of the pile end to the weak underlying layer based on the trigonometric function values ​​corresponding to the vertical distance and the stress diffusion angle.

[0099] The second processing unit is used to obtain the equivalent diameter corresponding to the diffusion range of the weak underlying layer based on the pile end diameter and the horizontal diffusion distance;

[0100] The third processing unit is used to obtain the circular area corresponding to the equivalent diameter using the circular area calculation formula, and to use the circular area as the stress diffusion range corresponding to the top surface of the weak underlying layer.

[0101] In some embodiments of this application, the second processing module 33 includes a fourth processing unit;

[0102] The fourth processing unit is used to multiply the stress diffusion range and the bearing capacity characteristic value to obtain the pile end additional load corresponding to the weak underlying layer.

[0103] In some embodiments of this application, the data acquisition module 31 includes a first data acquisition unit and a second data acquisition unit;

[0104] The first data acquisition unit is used to acquire soil parameters corresponding to the bearing layer where the pile tip of the offshore wind turbine is located;

[0105] The second data acquisition unit is used to determine the stress diffusion angle corresponding to the bearing layer where the pile tip of the offshore wind turbine is located by using a preset triaxial test based on the soil parameters.

[0106] In some embodiments of this application, the optimization module 34 includes a first optimization unit, a second optimization unit, and a third optimization unit;

[0107] The first optimization unit is used to compare the additional load at the pile end with the first preset pile end design load;

[0108] The second optimization unit is used to determine that the length of the offshore wind turbine pile meets the preset bearing capacity requirement if the additional load at the pile end is greater than or equal to the first preset pile end design load, and output the current pile length of the offshore wind turbine pile as the final pile length.

[0109] The third optimization unit is used to iteratively update the pile length corresponding to the offshore wind turbine pile according to the first preset step size if the additional load at the pile end is less than the first preset pile end design load, until the current pile length meets the first preset condition, and output the current pile length as the final pile length.

[0110] For more detailed steps and working principles of this embodiment, please refer to the relevant description in Embodiment 1, but not limited to these descriptions.

[0111] In summary, the embodiments of this application effectively address the core pain points of existing technologies by clearly defining the complete logic of obtaining key parameters, calculating the stress diffusion range, determining the additional load at the pile tip, and optimizing the pile length. Breaking through traditional conservative design thinking, it incorporates the key parameter of the pile tip stress diffusion angle into the calculation, filling the gap in current standards regarding the lack of specific methods for verifying weak underlying layers in offshore wind turbine piles. By scientifically quantifying the bearing contribution of the weak underlying layer, it avoids redundant pile lengths caused by directly taking the bearing capacity of the weak layer or blindly drilling through it, reducing steel consumption and project costs. Furthermore, it ensures pile foundation stability through comparison with design loads, achieving a balance between safety and economy, and adapting to the complex geological conditions and actual engineering needs of offshore wind power. Therefore, this application solves the problem in existing technologies of the difficulty in reducing the engineering cost of offshore wind turbine piles while ensuring the stability and bearing capacity of the steel pipe pile foundation.

[0112] It is understood that the above-described device embodiments correspond to the method embodiments of the present invention, and can realize the offshore wind turbine pile optimization method based on the bearing capacity verification of the weak underlying layer provided by any of the above-described method embodiments of the present invention.

[0113] It should be noted that the device embodiments described above are merely illustrative, and some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can specifically be implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0114] Based on the above embodiments of the offshore wind turbine pile optimization method based on the bearing capacity verification of weak underlying layers, another embodiment of the present invention provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the offshore wind turbine pile optimization method based on the bearing capacity verification of weak underlying layers of any embodiment of the present invention.

[0115] For example, in this embodiment, the computer program can be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the terminal device.

[0116] The terminal device may be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0117] The processor can be a Central Processing Unit (CPU), or 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 can be a microprocessor or any conventional processor. The processor is the control center of the terminal device, connecting all parts of the terminal device via various interfaces and lines.

[0118] Based on the above-described method embodiments, another embodiment of the present invention provides a computer-readable storage medium, including a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to execute the offshore wind turbine pile optimization method based on the bearing capacity verification of a weak underlying layer as described in any of the above-described method embodiments of the present invention.

[0119] The modules / units integrated in the device / terminal equipment, if implemented as software functional units and sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0120] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. An optimization method for offshore wind turbine piles based on the bearing capacity verification of weak underlying layers, characterized in that, include: The stress diffusion angle corresponding to the bearing layer where the pile tip of the offshore wind turbine is located, the pile tip diameter, the bearing capacity characteristic value corresponding to the weak underlying layer, and the vertical distance between the pile tip and the weak underlying layer are obtained. Based on the stress diffusion angle, the pile end diameter, and the vertical distance, the stress diffusion area calculation formula is used to determine the stress diffusion range corresponding to the top surface of the weak underlying layer. Based on the stress diffusion range and the bearing capacity characteristic value, the additional load at the pile end corresponding to the weak underlying layer is obtained by using the bearing capacity contribution value calculation formula. Based on the first preset pile end design load and the additional pile end load, the final pile length corresponding to the offshore wind turbine pile is output, and the offshore wind turbine pile is optimized based on the final pile length.

2. The method for optimizing offshore wind turbine piles based on the bearing capacity verification of weak underlying layers as described in claim 1, characterized in that, The stress diffusion range corresponding to the top surface of the weak underlying layer is determined by using the stress diffusion area calculation formula based on the stress diffusion angle, the pile end diameter, and the vertical distance. Specifically: The horizontal diffusion distance from the outer side of the pile tip to the weak underlying layer is calculated based on the trigonometric function values ​​corresponding to the vertical distance and the stress diffusion angle. Based on the pile tip diameter and the horizontal diffusion distance, the equivalent diameter corresponding to the diffusion range of the weak underlying layer is obtained; Based on the equivalent diameter, the area of ​​the circle corresponding to the equivalent diameter is obtained using the formula for calculating the area of ​​a circle, and the area of ​​the circle is used as the stress diffusion range corresponding to the top surface of the weak underlying layer.

3. The method for optimizing offshore wind turbine piles based on the bearing capacity verification of weak underlying layers as described in claim 1, characterized in that, The additional load at the pile end corresponding to the weak underlying layer is obtained by using the bearing capacity contribution value calculation formula based on the stress diffusion range and the bearing capacity characteristic value. Specifically: The additional load at the pile end corresponding to the weak underlying layer is obtained by multiplying the stress diffusion range and the bearing capacity characteristic value.

4. The method for optimizing offshore wind turbine piles based on the bearing capacity verification of weak underlying layers as described in claim 1, characterized in that, The process of obtaining the stress diffusion angle corresponding to the bearing layer where the pile tip of the offshore wind turbine is located is specifically as follows: Obtain the soil parameters corresponding to the bearing layer where the pile tip of the offshore wind turbine is located; Based on the soil parameters, a pre-set triaxial test is used to determine the stress diffusion angle corresponding to the bearing layer where the pile tip of the offshore wind turbine is located.

5. The method for optimizing offshore wind turbine piles based on the bearing capacity verification of weak underlying layers as described in claim 1, characterized in that, The step of outputting the final pile length corresponding to the offshore wind turbine pile based on the first preset pile end design load and the additional pile end load is as follows: Compare the additional load at the pile end with the first preset design load at the pile end; If the additional load at the pile end is greater than or equal to the first preset pile end design load, then it is determined that the pile length of the offshore wind turbine pile meets the preset bearing capacity requirement, and the current pile length of the offshore wind turbine pile is output as the final pile length. If the additional load at the pile end is less than the first preset pile end design load, the pile length corresponding to the offshore wind turbine pile is iteratively updated according to the first preset step size until the current pile length meets the first preset condition, and the current pile length is output as the final pile length.

6. An optimization device for offshore wind turbine piles based on the bearing capacity verification of weak underlying layers, characterized in that, include: The system comprises a data acquisition module, a first processing module, a second processing module, and an optimization module. The data acquisition module is used to acquire the stress diffusion angle corresponding to the bearing layer where the pile tip of the offshore wind turbine is located, the pile tip diameter, the bearing capacity characteristic value corresponding to the weak underlying layer, and the vertical distance between the pile tip and the weak underlying layer. The first processing module is used to determine the stress diffusion range corresponding to the top surface of the weak underlying layer based on the stress diffusion angle, the pile end diameter, and the vertical distance, using the stress diffusion area calculation formula. The second processing module is used to obtain the additional load at the pile end corresponding to the weak underlying layer by using the bearing capacity contribution value calculation formula based on the stress diffusion range and the bearing capacity characteristic value. The optimization module is used to output the final pile length corresponding to the offshore wind turbine pile based on the first preset pile end design load and the additional pile end load, and to optimize the offshore wind turbine pile based on the final pile length.

7. The offshore wind turbine pile optimization device based on the bearing capacity verification of a weak underlying layer as described in claim 6, characterized in that, The first processing module includes a first processing unit, a second processing unit, and a third processing unit; The first processing unit is used to calculate the horizontal diffusion distance from the outer side of the pile end to the weak underlying layer based on the trigonometric function values ​​corresponding to the vertical distance and the stress diffusion angle. The second processing unit is used to obtain the equivalent diameter corresponding to the diffusion range of the weak underlying layer based on the pile end diameter and the horizontal diffusion distance; The third processing unit is used to obtain the circular area corresponding to the equivalent diameter using the circular area calculation formula, and to use the circular area as the stress diffusion range corresponding to the top surface of the weak underlying layer.

8. The offshore wind turbine pile optimization device based on the bearing capacity verification of a weak underlying layer as described in claim 6, characterized in that, The second processing module includes a fourth processing unit; The fourth processing unit is used to multiply the stress diffusion range and the bearing capacity characteristic value to obtain the pile end additional load corresponding to the weak underlying layer.

9. The offshore wind turbine pile optimization device based on the bearing capacity verification of a weak underlying layer as described in claim 6, characterized in that, The data acquisition module includes a first data acquisition unit and a second data acquisition unit; The first data acquisition unit is used to acquire soil parameters corresponding to the bearing layer where the pile tip of the offshore wind turbine is located; The second data acquisition unit is used to determine the stress diffusion angle corresponding to the bearing layer where the pile tip of the offshore wind turbine is located by using a preset triaxial test based on the soil parameters.

10. The offshore wind turbine pile optimization device based on the bearing capacity verification of a weak underlying layer as described in claim 6, characterized in that, The optimization module includes a first optimization unit, a second optimization unit, and a third optimization unit; The first optimization unit is used to compare the additional load at the pile end with the first preset pile end design load; The second optimization unit is used to determine that the length of the offshore wind turbine pile meets the preset bearing capacity requirement if the additional load at the pile end is greater than or equal to the first preset pile end design load, and output the current pile length of the offshore wind turbine pile as the final pile length. The third optimization unit is used to iteratively update the pile length corresponding to the offshore wind turbine pile according to the first preset step size if the additional load at the pile end is less than the first preset pile end design load, until the current pile length meets the first preset condition, and output the current pile length as the final pile length.

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