Optimization design method and system for offshore wind power floating foundation structure

Abstract

The invention discloses an optimal design method and system for an offshore wind power floating foundation structure, and belongs to the field of ocean engineering structure design, and the method comprises the following steps: S1, building a three-dimensional finite element model of the floating foundation structure, and defining a design domain, a non-design domain, material attributes, volume ratio constraints and limit load working conditions for the three-dimensional finite element model; and S2, independently performing finite element solution for each limit load working condition, and calculating the flexibility sensitivity of each unit in the design domain, so that the overall performance and robustness of the final topological configuration are remarkably improved, the sensitivity of a high-conflict region is actively inhibited, and the reliability of the topological configuration is improved. The optimization process can avoid invalid swing between mutually contradictory rigidity requirements, so that a real global optimal solution can be explored and converged, unprecedented design insight and controllability are provided for design engineers, and convergence stagnation or divergence caused by target conflicts is effectively avoided.

Description

Technical Field

[0001] This invention relates to the field of marine engineering structural design, specifically to an optimization design method and system for offshore wind power floating foundation structures. Background Technology

[0002] The core design principle of offshore floating wind turbine foundations lies in ensuring their safety and economy in complex marine environments. Topology optimization techniques, especially the penalty model for solid isotropic materials, are the mainstream methods for achieving lightweight structures and improved performance. This method aims to minimize structural compliance.

[0003] When this method is applied to floating foundations that need to withstand both wind and wave loads, its inherent defects become apparent. The action paths and properties of wind and wave loads are quite different. Under extreme load conditions, the optimization algorithm, in order to meet the stiffness requirements of a single load path, will conflict with the requirements of another load path. This material redistribution mechanism based on sensitivity analysis often leads to difficulties in convergence of the optimization process or getting stuck in local optima under the competition of different loads, making it impossible to achieve true global performance optimization and posing a challenge to the safety of the structure under all extreme conditions.

[0004] Existing technologies generally employ a weighted average of compliance sensitivity under various load conditions when dealing with multiple load conditions. This approach is a passive, linear information superposition. While it aims to take all load conditions into account, it essentially masks the inherent conflicts between different load requirements. When wind loads and wave loads have diametrically opposed stiffness requirements for a certain part of the structure, existing technologies cannot identify this conflict. The optimization results often sacrifice the performance of a certain load condition or get caught between contradictory optimization directions, leading to convergence to a mediocre local optimum.

[0005] The information disclosed in the background section above is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] The purpose of this invention is to provide an optimized design method and system for offshore wind power floating foundation structures to solve the problems mentioned in the background art.

[0007] The technical solution of the present invention includes the following steps: S1. Establish a three-dimensional finite element model of the floating foundation structure, and define the design domain, non-design domain, material properties, volume ratio constraints, and ultimate load conditions for the three-dimensional finite element model. S2. For each of the aforementioned ultimate load conditions, perform finite element analysis independently and calculate the compliance sensitivity of each element within the design domain. S3. Based on the compliance sensitivity calculated under each working condition, the adaptive adjustment sensitivity is calculated through a coupling effect quantification and adjustment mechanism. S4. Using an optimizer based on the adaptive adjustment sensitivity, the pseudo-density field of the design domain is updated while satisfying the volume ratio constraint. S5. Determine whether the change in the pseudo-density field satisfies the preset convergence condition. If not, return to step S2 using the updated pseudo-density field. If it satisfies, proceed to step S6. S6. Output the finally converged pseudo-density field as the optimized floating foundation topology.

[0008] Preferably, the ultimate load condition defined in S1 specifically includes: Define at least two extreme load conditions, including an extreme load condition dominated by wind load and an extreme survival condition dominated by wave load, and assign initial weights to each extreme load condition.

[0009] Preferably, S2 specifically includes: S21. Perform finite element analysis on each of the ultimate load conditions to obtain the displacement field of the model under that condition. S22. Based on the displacement field, using a solid isotropic material penalty model, calculate the compliance sensitivity of each unit in the design domain, wherein the compliance sensitivity characterizes the rate of change of the total structural compliance caused by a small increase in the pseudo density of the unit.

[0010] Preferably, S3 specifically includes: S31. For any two different ultimate load conditions, calculate the stiffness requirement conflict index on each element. The stiffness requirement conflict index is used to quantify the degree of conflict between the compliance sensitivity of the two conditions on the element. S32. Based on the stiffness requirement conflict index of all working condition pairs and the initial weight of the ultimate load working condition, perform weighted summation to calculate the comprehensive coupling conflict factor of each unit. S33. Based on the comprehensive coupling conflict factor, the traditional weighted aggregation sensitivity is nonlinearly adjusted to generate the adaptive adjustment sensitivity.

[0011] Preferably, in step S33, the nonlinear adjustment is achieved through a preset adjustment function, which is controlled by a global coupling suppression parameter and a conflict nonlinearity index, and driven by the comprehensive coupling conflict factor, so that the higher the value of the comprehensive coupling conflict factor, the stronger the suppression effect on the sensitivity of the unit.

[0012] Preferably, in step S4, the optimizer is the moving asymptote method.

[0013] An optimized design system for offshore wind turbine floating foundations includes: The model and load definition module is used to establish a three-dimensional finite element model and define the design domain, non-design domain, material properties, volume ratio constraints, and ultimate load conditions for the three-dimensional finite element model. An independent sensitivity analysis module is used to independently perform finite element solutions for each of the aforementioned ultimate load conditions and calculate the compliance sensitivity of each element within the design domain. The coupling effect adjustment module is used to calculate the adaptive adjustment sensitivity based on the compliance sensitivity through a coupling effect quantification and adjustment mechanism. The iterative optimization module is used to iteratively update the pseudo-density field until convergence, based on the adaptive adjustment sensitivity and under the condition of satisfying the volume ratio constraint. The topology configuration output module is used to output the pseudo-density field that has finally converged.

[0014] Preferably, the coupling effect adjustment module specifically includes: The conflict index calculation unit is used to calculate the stiffness requirement conflict index on each unit for any two different ultimate load conditions. The conflict factor synthesis unit is used to calculate the comprehensive coupling conflict factor of each unit based on the stiffness requirement conflict index of all working condition pairs and the initial weight of the ultimate load condition. A sensitivity adjustment unit is used to nonlinearly adjust the traditional weighted aggregate sensitivity based on the comprehensive coupling conflict factor to generate the adaptive adjustment sensitivity.

[0015] This invention provides an optimized design method and system for offshore wind turbine floating foundation structures, which, compared with existing technologies, has the following improvements and advantages: This invention significantly improves the global performance and robustness of the final topology configuration. By actively suppressing the sensitivity of high-conflict regions, the optimization process avoids ineffective oscillations between conflicting stiffness requirements, thereby enabling the exploration and convergence to a truly global optimal solution. This invention enhances the convergence stability and computational efficiency of the optimization algorithm. Because the adaptive sensitivity adjustment provides clear and conflict-free guidance for each iteration of the optimizer, the optimization path is smoother and more direct, effectively avoiding convergence stagnation or divergence caused by target conflicts. This directly translates into a reduction in computation time and an acceleration of the design process. For complex engineering projects such as offshore wind power that require a large number of iterative calculations, the economic and time benefits are extremely significant. Attached Figure Description

[0016] The present invention will be further explained below with reference to the accompanying drawings and embodiments: Figure 1 This is a flowchart of the system of the present invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments.

[0018] Example 1: Please see Figure 1 This invention provides an optimized design method and system technical solution for offshore wind power floating foundation structures, comprising the following steps: S1. Establish a three-dimensional finite element model of the floating foundation structure, and define the design domain, non-design domain, material properties, volume ratio constraints, and ultimate load conditions for the three-dimensional finite element model. S2. For each ultimate load condition, perform finite element analysis independently and calculate the compliance sensitivity of each element in the design domain. S3. Based on the compliance sensitivity calculated under each working condition, the adaptive adjustment sensitivity is calculated through the coupling effect quantification and adjustment mechanism. S4. Using an optimizer based on adaptive adjustment sensitivity, the pseudo-density field of the design domain is updated while satisfying the volume ratio constraint. S5. Determine whether the change in the pseudo-density field satisfies the preset convergence condition. If not, return to step S2 using the updated pseudo-density field. If it satisfies, proceed to step S6. S6. Output the finally converged pseudo-density field as the optimized floating foundation topology.

[0019] This embodiment provides an optimized design method for offshore wind turbine floating foundation structures. This method aims to solve the fundamental problem of existing topology optimization techniques falling into local optima or convergence difficulties due to conflicting stiffness requirements when facing extreme loads with vastly different properties such as wind and waves. The essence of this method lies in its construction of a complete closed-loop optimization process from problem identification and quantification to solution. Through steps S1 and S2, the response characteristics of the structure under various independent extreme conditions are precisely quantified. Then, in the core step S3, an innovative coupling effect quantification and adjustment mechanism is introduced to actively identify and mitigate conflicts between these response characteristics. In the iterative cycles from S4 to S6, based on the intelligently adjusted optimization direction, the method robustly converges to a globally optimal topology configuration that truly accommodates multiple extreme conditions. This achieves ultimate lightweight design while ensuring structural safety under all operating conditions, providing key technical support for the economy and reliability of deep-sea floating wind farms. The preset convergence condition can be set as follows: between two consecutive iterations, the maximum value of the change in the pseudo-density value of all elements in the design domain is less than a preset tolerance. Or the total number of iterations has reached the preset upper limit. This condition aims to ensure that the optimization result has stabilized and no longer changes significantly; mathematically, it can be defined as:

[0020] in, Indicates the first Unit during the next iteration The pseudo density value, A small value is usually acceptable, such as 0.001.

[0021] Example 2 S1 defines the ultimate load conditions specifically including: Define at least two extreme load conditions, including an extreme load condition dominated by wind load and an extreme survival condition dominated by wave load, and set initial weights for each extreme load condition. S2 specifically includes: S21. Perform finite element analysis on each ultimate load condition to obtain the displacement field of the model under that condition. S22. Based on the displacement field, the compliance sensitivity of each element in the design domain is calculated using the solid isotropic material penalty model. The compliance sensitivity characterizes the rate of change of the total structural compliance caused by a small increase in the pseudo density of the element.

[0022] In this embodiment, the precise definition and independent sensitivity analysis of the ultimate load conditions are the foundation for all advanced decisions. This process begins with establishing a complete three-dimensional finite element model including the floating foundation and the superstructure, clearly defining the design domain where materials can be freely distributed and the non-design domain that must be retained. To accurately simulate the challenges of the real marine environment, the system defines at least two distinctly different ultimate load conditions, such as the wind-driven ultimate load condition. and extreme survival conditions dominated by wave loads Based on the probability and severity of each working condition, engineers will assign corresponding initial weights. ; Engineers set initial weights In such cases, quantification can be achieved using the following method: Based on the project's marine environmental report and relevant design standards, determine the various extreme operating conditions. Probability of occurrence within the design life cycle Through preliminary structural analysis or risk assessment, a quantitative hazard level or consequence index is defined for each working condition. For example, a higher value indicates a greater threat to structural safety; therefore, the weight of this working condition... This can be obtained by multiplying the two and then normalizing the result to ensure that the sum of all weights is 1. The calculation formula is as follows:

[0023] in, This represents the total number of ultimate load conditions. This method makes the weight allocation more objective and can comprehensively reflect the relative importance of different conditions; The goal of the independent sensitivity analysis step is to obtain the potential contribution of each element within the structure to the overall stiffness; for each ultimate load case... The system independently performs finite element analysis to obtain the global displacement field under this working condition. Based on this displacement field and according to the mature SIMP (Solid Isotropic Material Penalty) model for solid isotropic materials, the system calculates the displacement field of each element within the design domain. Softness and sensitivity The physical meaning of this sensitivity value is crucial: it quantitatively describes the rate of change in the total structural compliance brought about by a slight increase in the pseudo-density of the unit. Through this series of operations, this method decomposes and quantifies the complex structural response problem into a set of clear sensitivity data that can be directly used for subsequent coupled analysis, laying a solid data foundation for accurately identifying stiffness conflicts.

[0024] Implementation 3 S3 specifically includes: S31. For any two different ultimate load conditions, calculate the stiffness requirement conflict index on each element. The stiffness requirement conflict index is used to quantify the degree of conflict between the two conditions in terms of compliance sensitivity on the element. S32. Based on the stiffness requirement conflict index of all working condition pairs and the initial weight of the ultimate load condition, perform weighted synthesis to calculate the comprehensive coupling conflict factor of each unit. S33. Based on the comprehensive coupling conflict factor, the traditional weighted aggregation sensitivity is nonlinearly adjusted to generate an adaptive adjustment sensitivity.

[0025] The core of this invention lies in the quantification and adaptive adjustment steps of the coupling effect, which consist of a set of logically progressive innovative formulas. The overall goal is to receive independent sensitivity information from previous steps and output a final aggregated sensitivity that has been intelligently adjusted to guide optimization. The logical derivation of the entire adjustment mechanism is as follows: quantify the most basic degree of conflict between any two load conditions at each unit to generate conflict indices; weight and synthesize these paired conflict indices to obtain a coupling conflict factor that can represent the overall conflict level of a single unit under all conditions; use this comprehensive factor to nonlinearly adjust the traditional weighted aggregated sensitivity to achieve intelligent intervention in the optimization direction. The first calculation is the stiffness demand conflict index. The technical motivation behind this is to overcome the limitation of traditional methods in distinguishing between synergistic effects and conflict cancellation among different sensitivities. The aim is to create an index that can explicitly identify and quantify the latter, i.e., conflict; for any two different load conditions... and In the unit Stiffness requirement conflict index Defined as:

[0026] in, For unit Under working conditions and The stiffness requirement conflict index between them is a dimensionless scalar; and Sensitivity value, expressed in energy, calculated for the preceding steps; The Heaviside step function is used here as a conflict identifier. This term is 1 only when the importance directions of the two sensitivities are opposite, and 0 otherwise. The fractional term is a normalized sensitivity difference measure that quantifies the severity of the conflict. It is a very small positive number, serving as a numerical stability term to prevent the denominator from being zero when both sensitivities are close to zero; This numerical stability term The value of should be small enough to avoid significantly affecting the calculation of conflict indices for non-zero sensitivity units, while also preventing computational overflow; its order of magnitude can typically be one millionth of the average absolute value of the sensitivity of the entire structure under all operating conditions, or it can be directly set to a fixed, tiny value, for example... Choose the appropriate This is to ensure the robustness of the algorithm in numerical computation; After calculating this index for all working condition pairs and all units, the system obtains a quantitative distribution field describing the basic conflict, which is the cornerstone of subsequent comprehensive analysis. The second calculation is the unit coupling conflict factor, the technical motivation of which is to aggregate all paired conflict relationships involved in a unit into a single, comprehensive conflict metric for unified regulation; unit Comprehensive coupling conflict factor Defined as:

[0027] in, For unit The comprehensive coupling conflict factor is dimensionless; and The initial load case weights are set to ensure that important load cases have a higher weight in conflict calculations. The conflict index is calculated using the previous formula; This represents the total number of ultimate load cases; the output of this formula is a global conflict field. This field accurately identifies which areas in the structural design domain are the difficult areas for optimization decisions, providing precise targets for the next step of adaptive adjustment; The third calculation is adaptive sensitivity adjustment. As a unique sensitivity adjustment mechanism of this invention, the technical motivation lies in suppressing drastic changes in the sensitivity of identified high-conflict units, preventing the optimization algorithm from oscillating between contradictory directions, and thus forcing it to find a robust compromise solution. Ultimately used for optimized adaptive adjustment sensitivity Defined as:

[0028] in, The final polymerization sensitivity after adjustment has the same physical dimensions as the sensitivity and is expressed in units of energy. For traditional weighted aggregation sensitivity; This is the unit coupling conflict factor calculated using the previous formula; and These are two core adjustable parameters; this adjustment mechanism no longer passively receives sensitivity information, but actively intervenes. Its output adaptive adjustment sensitivity is directly transmitted to the optimizer as the basis for updating the next generation of material layout, fundamentally changing the optimization search path.

[0029] Example 4 In S33, nonlinear adjustment is achieved through a preset adjustment function, which is controlled by a global coupling suppression parameter and a conflict nonlinearity exponent, and driven by a comprehensive coupling conflict factor. This results in a stronger suppression effect on the sensitivity of a unit with a higher comprehensive coupling conflict factor value.

[0030] In S4, the optimizer is the moving asymptote method.

[0031] In this embodiment, at the level of adjustment and optimization, this method demonstrates its engineering practicality and controllability; the realization of nonlinear adjustment relies on a globally coupled suppression parameter. With conflict nonlinear index The control adjustment function; these two parameters are not physical constants, but rather control parameters provided to engineers by this method, set through numerical experiments or based on experience to ensure that those skilled in the art can implement it; generally speaking, The initial value can be set to 0.5. The initial value can be set to 2.0; if the optimization converges too slowly or the results are too conservative, it can be reduced. If the final structure's performance is insufficient for certain operating conditions, the size can be increased. ;choose A value greater than 1, such as 2.0, allows the adjustment to be more precisely focused on high-conflict regions, generally resulting in better performance. This design enables engineers to flexibly adjust the optimization strategy based on specific convergence conditions or performance requirements, finding the optimal balance between performance and robustness. After obtaining the intelligently adjusted adaptive sensitivity, the system employs an efficient and mature optimizer, namely the Moving Asymptote Method (MMA), to update the pseudo-density field. Based on the input adaptive adjustment sensitivity, the MMA algorithm calculates a new generation of material distribution schemes under strict volume ratio constraints. This ensures that the innovative adjustment mechanism proposed in this invention can be implemented using a stable and reliable mathematical tool, thus steadily progressing towards a final design scheme capable of coordinating multiple extreme loads in each iteration.

[0032] Example 5 Includes: Model and load definition module, used to build a three-dimensional finite element model and define the design domain, non-design domain, material properties, volume ratio constraints and ultimate load conditions for the three-dimensional finite element model; The independent sensitivity analysis module is used to independently perform finite element solutions for each ultimate load condition and calculate the compliance sensitivity of each element in the design domain. The coupling effect adjustment module is used to calculate adaptive adjustment sensitivity based on compliance sensitivity through coupling effect quantification and adjustment mechanism; The iterative optimization module is used to iteratively update the pseudo-density field until convergence, based on the adaptive adjustment sensitivity, while satisfying the volume ratio constraint. The topology output module is used to output the pseudo-density field that eventually converges.

[0033] This invention also provides an optimization design system for offshore wind power floating foundation structures. The system solidifies the aforementioned innovative methods into an automated software module, realizing a complete process from modeling to output. The system consists of five core modules: a model and load definition module, an independent sensitivity analysis module, a coupling effect adjustment module, an iterative optimization module, and a topology configuration output module. These modules are interconnected, forming an efficient data flow. The model and load definition module lays the foundation for the entire process; the independent sensitivity analysis module is responsible for the acquisition and quantification of raw data; the coupling effect adjustment module, as the core computational component of the system, executes conflict identification and sensitivity adjustment algorithms; the iterative optimization module, as the optimization execution component, transforms the computational decisions of the former into actual structural updates; and the topology configuration output module presents the final optimization results in three-dimensional visualization. This system transforms complex multi-condition optimization problems into a highly automated engineering design tool, greatly improving design efficiency and enabling engineers to quickly obtain safer and more economical floating foundation structure solutions that are difficult to achieve with traditional methods.

[0034] The coupling effect modulation module specifically includes: The conflict index calculation unit is used to calculate the stiffness requirement conflict index on each unit for any two different ultimate load conditions. The conflict factor synthesis unit is used to calculate the comprehensive coupling conflict factor of each unit based on the stiffness requirement conflict index of all working condition pairs and the initial weight of the ultimate load condition. The sensitivity adjustment unit is used to nonlinearly adjust the traditional weighted aggregate sensitivity based on the comprehensive coupling conflict factor, thereby generating an adaptively adjusted sensitivity.

[0035] In this embodiment, to achieve accurate calculation of coupling effects, the core component, namely the coupling effect adjustment module, is further divided into three logically clear functional units. The conflict index calculation unit is responsible for executing the aforementioned conflict index formula. It traverses all units and working condition pairs to generate an index matrix describing the most basic conflict. This matrix is ​​passed to the conflict factor synthesis unit, which performs a weighted synthesis calculation of the coupling conflict factor formula, condensing the scattered conflict information into a unique comprehensive coupling conflict factor for each unit. The sensitivity adjustment unit receives this conflict factor and applies nonlinear suppression to the traditional weighted sensitivity according to the adaptive sensitivity adjustment formula, outputting the final adaptive sensitivity adjustment. This modular internal design decomposes the complex coupling effect analysis task into a clear, orderly, and serial data processing pipeline, which not only ensures the accuracy and robustness of the calculation but also makes the logical structure of the core algorithm clear at a glance, easy to implement and maintain.

[0036] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. An optimized design method for offshore wind turbine floating foundation structures, characterized in that, Includes the following steps: S1. Establish a three-dimensional finite element model of the floating foundation structure, and define the design domain, non-design domain, material properties, volume ratio constraints, and ultimate load conditions for the three-dimensional finite element model. S2. For each of the aforementioned ultimate load conditions, perform finite element analysis independently and calculate the compliance sensitivity of each element within the design domain. S3. Based on the compliance sensitivity calculated under each working condition, the adaptive adjustment sensitivity is calculated through a coupling effect quantification and adjustment mechanism. S4. Using an optimizer based on the adaptive adjustment sensitivity, the pseudo-density field of the design domain is updated while satisfying the volume ratio constraint. S5. Determine whether the change in the pseudo-density field satisfies the preset convergence condition. If not, return to step S2 using the updated pseudo-density field. If it satisfies, proceed to step S6. S6. Output the finally converged pseudo-density field as the optimized floating foundation topology.

2. The optimized design method for offshore wind turbine floating foundation structures according to claim 1, characterized in that, The ultimate load condition defined in S1 specifically includes: Define at least two extreme load conditions, including an extreme load condition dominated by wind load and an extreme survival condition dominated by wave load, and assign initial weights to each extreme load condition.

3. The optimized design method for offshore wind turbine floating foundation structures according to claim 1, characterized in that, S2 specifically includes: S21. Perform finite element analysis on each of the ultimate load conditions to obtain the displacement field of the model under that condition. S22. Based on the displacement field, using a solid isotropic material penalty model, calculate the compliance sensitivity of each unit in the design domain, wherein the compliance sensitivity characterizes the rate of change of the total structural compliance caused by a small increase in the pseudo density of the unit.

4. The optimized design method for offshore wind turbine floating foundation structures according to claim 1, characterized in that, S3 specifically includes: S31. For any two different ultimate load conditions, calculate the stiffness requirement conflict index on each element. The stiffness requirement conflict index is used to quantify the degree of conflict between the compliance sensitivity of the two conditions on the element. S32. Based on the stiffness requirement conflict index of all working condition pairs and the initial weight of the ultimate load working condition, perform weighted summation to calculate the comprehensive coupling conflict factor of each unit. S33. Based on the comprehensive coupling conflict factor, the traditional weighted aggregation sensitivity is nonlinearly adjusted to generate the adaptive adjustment sensitivity.

5. The optimized design method for offshore wind turbine floating foundation structures according to claim 4, characterized in that, In step S33, the nonlinear adjustment is achieved through a preset adjustment function. The adjustment function is controlled by a global coupling suppression parameter and a conflict nonlinearity index, and is driven by the comprehensive coupling conflict factor, so that the higher the value of the comprehensive coupling conflict factor, the stronger the suppression effect on the sensitivity of the unit.

6. The optimized design method for offshore wind turbine floating foundation structures according to claim 1, characterized in that, In S4, the optimizer is the moving asymptote method.

7. An optimization design system for offshore wind turbine floating foundations, employing the optimization design method for offshore wind turbine floating foundations as described in any one of claims 1-6, characterized in that, include: The model and load definition module is used to establish a three-dimensional finite element model and define the design domain, non-design domain, material properties, volume ratio constraints, and ultimate load conditions for the three-dimensional finite element model. An independent sensitivity analysis module is used to independently perform finite element solutions for each of the aforementioned ultimate load conditions and calculate the compliance sensitivity of each element within the design domain. The coupling effect adjustment module is used to calculate the adaptive adjustment sensitivity based on the compliance sensitivity through a coupling effect quantification and adjustment mechanism. The iterative optimization module is used to iteratively update the pseudo-density field until convergence, based on the adaptive adjustment sensitivity and under the condition of satisfying the volume ratio constraint. The topology configuration output module is used to output the pseudo-density field that has finally converged.

8. The optimized design system for offshore wind power floating foundation structures according to claim 7, characterized in that, The coupling effect modulation module specifically includes: The conflict index calculation unit is used to calculate the stiffness requirement conflict index on each unit for any two different ultimate load conditions. The conflict factor synthesis unit is used to calculate the comprehensive coupling conflict factor of each unit based on the stiffness requirement conflict index of all working condition pairs and the initial weight of the ultimate load condition. A sensitivity adjustment unit is used to nonlinearly adjust the traditional weighted aggregate sensitivity based on the comprehensive coupling conflict factor to generate the adaptive adjustment sensitivity.

Images