CN112199789A - Optimal design method for truss type fan foundation structure in medium-depth sea area - Google Patents
Optimal design method for truss type fan foundation structure in medium-depth sea area Download PDFInfo
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Abstract
The invention discloses an optimal design method of a truss type fan foundation structure in a medium water depth sea area. Aiming at the basic structural style of the truss type fan in the medium-depth sea area, the invention develops a set of multi-criterion multi-parameter structural optimization method, grades the design criteria according to engineering design experience, and simultaneously determines a search method of design parameters, thereby effectively improving the optimization design efficiency of the basic style of the fan.
Description
Technical Field
The invention relates to the technical field of offshore wind turbine foundation structure optimization, in particular to an optimization design method of a truss type wind turbine foundation structure in a sea area with medium water depth.
Background
Wind energy is a renewable green energy source. With the continuous progress of the technology, the wind power generation technology is the most mature except for the hydroelectric generation, and the wind power generation technology has large-scale development and good commercial development prospect. Reviewing the development process of the wind power industry, the development process can be roughly divided into 3 stages: the offshore wind power technology with great potential in the future is a relatively mature onshore wind power technology, a rapidly developing offshore wind power technology. Although the onshore wind power technology is mature, the development space is severely restricted by the problems of large land occupation, obvious noise and the like, and the offshore wind power technology is expected to become the main direction of the development of the future wind energy industry.
At present, offshore wind power development is mainly focused on shallow sea areas, construction cost is rapidly increased along with increase of water depth, and the investment of a fan foundation accounts for about 20% -30% of the total cost. How to optimize the design of a basic structure of a wind turbine and reduce the steel amount of the structure, thereby reducing the cost, and being an important factor for promoting the development of the offshore wind power industry to medium-depth sea areas (20-50 m). Although much research work has been done in the wind power industry in terms of the optimal design of the infrastructure, the following disadvantages still exist:
(1) the existing optimization design mainly aims at the fan foundation type of a shallow sea area, the truss type foundation structure type shows better performance when the fan foundation type is expanded to a medium-depth sea area, and the existing optimization method lacks the applicability to the truss type fan foundation type of the medium-depth sea area;
(2) according to the design specification requirement of an offshore wind power structure, multiple control indexes such as pile foundation bearing capacity, foundation sideline, structural stress, pipe node punching shear stress, inherent frequency and the like need to be checked in the design of a foundation structure, and the existing research work lacks a mature optimization design method related to multivariable multiple control standards;
(3) the traditional trial calculation-verification-modification design method in the offshore wind power industry needs a large amount of long-period design work of designers, and the rapid design and the optimization scheme are difficult to realize.
Based on the situation, the invention provides an optimal design method of a truss type fan foundation structure in a medium water depth sea area, which can effectively solve the problems.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an optimal design method for a truss type wind turbine foundation structure in a sea area with medium water depth. Aiming at the basic structural style of the truss type fan in the medium-depth sea area, the invention develops a set of multi-criterion multi-parameter structural optimization method, grades the design criteria according to engineering design experience, and simultaneously determines a search method of design parameters, thereby effectively improving the optimization design efficiency of the basic style of the fan.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention provides an optimal design method of a truss type fan foundation structure in a medium-water-depth sea area, which adopts a multi-objective and multi-parameter optimization means to carry out optimal design of the truss type fan foundation structure in the medium-water-depth sea area through a numerical technology; based on the design constraint experience library, hierarchical optimization search is carried out on design parameters, and an optimal structural design scheme is finally obtained by carrying out hierarchical and decoupling on control criteria and carrying out inspection and evaluation.
The control criterion grading and decoupling refers to comparing and dividing the importance degree and the sensitivity of the design criterion of the truss type wind turbine foundation structure in the medium water depth sea area.
The inspection and evaluation refers to standard inspection and checking of the design scheme, and meanwhile, the quality of the actual project of the design scheme is comprehensively considered.
The method comprises the following steps:
a. based on theoretical analysis and investigation on the existing engineering examples, the proposed values of given design parameters and the constraint conditions for limiting the value range of the design parameters are collated and summarized to form a design experience library suitable for the truss type fan foundation structure in the medium water depth sea area;
b. grading each design parameter according to the optimization sequence to form a design parameter step-by-step searching method; collecting all levels of design parameters in an integral model to form a design scheme library;
c. grading the control criteria according to the importance degree and sensitivity of the structural design control criteria, thereby decoupling each control criteria, carrying out hierarchical calculation analysis on the control criteria of the design scheme library, and carrying out standard inspection and check;
d. through the implementation steps, the design scheme is subjected to multi-level control criterion inspection and evaluation, and meanwhile, the quality of the actual engineering of the design scheme is comprehensively considered, so that the optimal structural design scheme is finally obtained.
As a preferred technical solution of the present invention, each design parameter optimization hierarchy in step b includes a transition section topology variable, a deck size variable, and a truss structure topology variable searched step by step.
As a preferred technical scheme of the invention, the topological variables of the transition section comprise the apparent inclination angle of the diagonal brace of the transition section and the distance between deck plates of the truss legs, the size variable of the deck plates is the size of deck beams, and the topological variables of the truss structure comprise the inclination angle of the main legs and the topological aspect ratio.
As a preferred technical solution of the present invention, the control criteria in step c are classified into three-level inspection criteria of step-by-step inspection:
the first-stage inspection standard comprises parallel static analysis and modal analysis, wherein the static analysis is used for inspecting whether the optimized scheme meets the strength requirement and the deformation requirement in the specification, and the modal analysis is used for inspecting whether the 1 st order natural frequency of the optimized scheme is in an allowable frequency range;
a second level of inspection criteria, which is fatigue analysis, for inspecting the durability of the optimized solution structure;
and a third-level inspection standard, performing cost comprehensive evaluation on all the optimization schemes passing the first two-level inspection, and screening out the optimal truss type fan foundation type from the optimization schemes.
As a preferred technical scheme of the invention, the purpose of the static analysis is to check whether the optimization scheme meets the strength requirement and the deformation requirement in the specification, namely whether the values of the stress UC of the rod piece and the stress IR of the pipe node are less than 1.0 or not, and whether the deformation and the corner of the basic structure of the fan are less than the allowable values or not; the purpose of the modal analysis is to verify whether the 1 st order natural frequency of the optimization is within the allowed frequency range, i.e. between the fan vibration frequencies 1P and 3P.
As a preferred technical scheme of the invention, the fatigue analysis comprises wind-induced fatigue analysis, wave fatigue analysis and ice-induced fatigue analysis, and the fatigue life of the optimized scheme is required to be longer than the design life.
As a preferred technical scheme of the invention, the third-level inspection standard comprehensively considers factors including the processing and installation difficulty, the construction period, the overall static performance, the dynamic performance and the fatigue performance of the optimized scheme structure.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. based on actual engineering experience and a structure optimization theory, a multi-criterion multi-parameter structure optimization method is established for a truss type fan foundation structure type in a medium water depth sea area, has the advantages of flow standardization, wide application range, strong adaptability and the like, and can assist the optimization design, accumulation of design experience and improvement of design efficiency of the foundation type.
2. The structure optimization method considers the influence of the structure type on the generating efficiency of the wind turbine generator, and comprehensively considers the usability, safety and economy of the offshore wind power structure in the optimization design.
3. The structure optimization method starts from relevant specifications, the design process covers various checking requirements in the specifications, and the optimization design result does not need to be checked and checked repeatedly.
4. The structure optimization method forms a standardized design flow, is easy to develop corresponding software or program, realizes automatic auxiliary optimization design, reduces the workload of designers, and provides verification support conditions for new design ideas of the designers.
Drawings
FIG. 1 is a control criteria hierarchy of the structure optimization method of the present invention;
FIG. 2 is a design parameter progressive search flow of the structure optimization method of the present invention;
FIG. 3 is a technical flow of the multi-criteria multi-parameter structure optimization method of the present invention;
FIG. 4 is a calculation result of UC value and frequency of a rod in the 1 st level test, when the structural optimization method of the present invention is applied to the optimization design of a truss type wind turbine foundation structure in a sea area with a medium water depth;
fig. 5 shows an optimization scheme structural model (left side) obtained by applying the structural optimization method of the present invention to the optimization design of a truss-type wind turbine foundation structure in a sea area with a medium water depth and a detailed implementation process (right side) thereof.
Detailed Description
In order that those skilled in the art will better understand the technical solutions of the present invention, the following description of the preferred embodiments of the present invention is provided in conjunction with specific examples, but it should be understood that the drawings are for illustrative purposes only and should not be construed as limiting the patent.
The structure optimization is a system project, the adjustment of each structure parameter needs to be comprehensively considered, the optimization scheme is ensured to simultaneously meet the requirements of structure safety, usability and economy, and the optimization scheme is optimal in each alternative scheme. The structure optimization strategy of the invention aims at an optimization system containing multiple targets and multiple parameters, and carries out structure optimization design through a numerical technology. In the multi-parameter optimization design theory, a specific structural optimization design problem is generally abstracted into an objective function, design parameters and constraint conditions. The structure optimization process is to find a set of design parameters, so that the objective function is minimum under the condition of satisfying the constraint conditions. The structural form formed by the set of design parameters is the optimal design scheme. The expressions for the objective function, design parameters, and constraints are as follows:
an objective function: f (x)1,x2,···,xn)＝min
Designing parameters: x ═ x1,x2,···,xn} (1)
Constraint conditions are as follows: gi(xi)≥0；hk(xk)＝0
Wherein f (x) is related to each design parameter of the structureFor a closed objective function, min is its optimal value; x is the number of1,x2,···,xnIs a series of structural design parameters, including topological parameters and dimensional parameters; the constraint conditions can be divided into two categories, equality conditions and inequality conditions, which respectively represent the proposed values and value ranges of the design parameters.
(1) Library of design experience
The constraint condition is a key link in the optimization design of the truss type fan foundation structure. On one hand, the constraint condition limits the value range of the design parameter or gives a suggested value, and is a boundary condition which must be met by the design parameter; on the other hand, the constraint condition guides the design parameter searching direction, and the searching efficiency can be improved. In the basic theory of optimal design, the constraint conditions can be divided into equality conditions and inequality conditions (formula 1), and the conditions respectively correspond to the conditions of the proposed value of the given design parameter and the limited value range of the design parameter. And (4) the constraint conditions are arranged and gathered, so that an experience library suitable for designing the truss type fan foundation structure in the medium-depth sea area is formed.
The establishment of the design experience base is based on theoretical analysis and research on the existing engineering examples, wherein sensitivity analysis and numerical simulation technology are the main methods for theoretical analysis. Design parameters of each level obtained by grading based on a cross optimization algorithm respectively correspond to respective constraint conditions.
(2) Cross optimization algorithm
For a very complex engineering structure such as a truss type fan foundation, design parameters influencing the safety, usability and economy of the structure are more, and the design parameters comprise installed power, operating water depth, environmental characteristics, geological parameters, structural topology, size and the like. The installed power, the operating water depth, the environmental characteristics and the geological parameters can be determined along with the early planning and site selection, and are not used as variables to be considered in the structure optimization design. Therefore, these design parameters are the premise and the basis for developing optimization work as the design conditions for structural optimization. On the other hand, the structural topological parameters and the size parameters directly determine the overall mechanical performance of the structure, and the structural topological parameters and the size parameters are used as design parameters in the structural optimization process, are searched based on a cross optimization algorithm, and are combined into a series of optimization schemes through the inspection and screening of a multi-criterion control algorithm.
In order to improve the searching efficiency of the design parameters, the design parameters are classified according to the optimization sequence to form a step-by-step searching strategy. In the design parameter searching process, searching principles such as possibility, reasonability and comprehensiveness must be adopted. The design parameters of the truss type fan foundation structure are not randomly valued, and the value range of the design parameters needs to refer to a design experience library, so that the restriction of constraint conditions is met, and the possibility of searching the design parameters is ensured. The size parameters of each component of the fan foundation structure are not continuously changed, standard profiles are selected according to a component type value table, and the cost rise caused by the use of special-shaped components is avoided as much as possible, so that the rationality of searching design parameters is ensured. The search for the design parameters must completely cover all possible values, and the omission of the optimal design parameter combination is avoided, so that the comprehensiveness of the design parameter search is ensured.
And (3) grading all design parameters according to an optimization sequence by referring to the basic design constraint and the design economy of the truss type wind turbine (as shown in figure 2), wherein the design parameters comprise a transition section topological variable, a deck size variable, a truss structure topological variable and an integral model. The topological variables of the transition section comprise the apparent inclined angle of the diagonal bracing of the transition section and the distance between the trussed leg deck plates, and the topological form of the transition section can be determined according to the two design parameters. The deck size design parameter is the deck beam size. The design parameters of the topological form of the truss structure comprise: the main leg inclination s and the topological aspect ratio alpha, and the topological form of the truss type foundation structure can be determined by the two design parameters. The design parameters at all levels are collected in an integral model and simultaneously comprise the following design parameters: the sizes of the inclined struts, the truss legs and the support rods of the transition section jointly form an optimal design scheme library.
(3) Multi-criterion control algorithm
In order to ensure that the optimal design scheme of the truss type fan foundation structure meets the requirements of safety, usability and economy, the design principle is embodied as the requirements of integrity, power characteristics, durability, economy and the like of the truss type fan foundation structure. The expression of the objective function in equation (1) above may be replaced by the following equation:
F{f1[g(x)，h(x)]，f2[g(x)，h(x)]，···，fn[g(x)，h(x)]}＝min (2)
in the formula (2), each item in the parentheses is a control criterion to be followed in the optimization design of the truss type fan foundation structure, and each item in the parentheses is a design constraint condition to be followed in the optimization design of the truss type fan foundation structure.
The control criteria influencing the overall performance of the truss type fan foundation structure are mutually coupled, and the control criteria are firstly graded, so that the control criteria are decoupled. The design of the foundation structure of the offshore wind turbine needs to perform static analysis, modal analysis, fatigue analysis, seismic analysis and the like, and the grading basis of the control criterion is the importance degree and the sensitivity. For a truss type fan foundation structure in a medium-depth sea area (20-50 m), each control criterion can be divided into 3 levels (as shown in figure 1) according to environmental load characteristics and related engineering experience, and an optimization scheme consisting of a series of design parameters is subjected to three-level control criterion inspection and evaluation to finally obtain the truss type fan foundation optimization scheme.
In the optimization control criterion classification of the truss type wind turbine foundation design, static analysis and modal analysis are used as a 1 st-level inspection standard in parallel. The purpose of the static analysis is to check whether the optimization scheme meets the strength requirement and the deformation requirement in the specification, namely whether the values of the rod stress UC and the pipe node stress IR are smaller than 1.0, and whether the deformation and the corner of the fan basic structure are smaller than the allowable values. The purpose of the modal analysis is to verify whether the 1 st order natural frequency of the optimization is within the allowed frequency range, i.e. between the fan vibration frequencies 1P and 3P. Static analysis is a basic requirement in structural design, and based on practical engineering experience of a truss type fan foundation in a medium water depth sea area, the overall mechanical performance of a structure is very sensitive to the static analysis. The optimization scheme meeting the static analysis requirements in the specification can generally easily meet the requirements of fatigue analysis and earthquake analysis. Therefore, taking the static analysis as the level 1 control criterion, each optimization scheme is first verified by the static analysis. The frequency requirement is a control criterion specific to an offshore wind power structure, and the normal operation of the wind turbine can be ensured only when the wind turbine foundation structure is between the vibration frequencies 1P and 3P of the wind turbine. The power characteristic requirement of the truss type wind power structure is very strict, and the structure power performance is very sensitive to modal analysis. Therefore, modal analysis is juxtaposed with static analysis, also as level 1 control criteria. The optimization scheme has to meet the requirements of static analysis and modal analysis simultaneously in the level 1 inspection, namely the convergence of two control criteria of the static analysis and the modal analysis must be ensured, and the level 1 inspection can be passed.
The optimization control criterion of the 2 nd-level truss type wind turbine foundation design is fatigue analysis, including wind-induced fatigue analysis and wave fatigue analysis. If the wind power structure is located in a cold and icy sea area, ice-excited fatigue analysis is also included. The fatigue analysis mainly checks the durability of the structure of the optimization scheme, namely the fatigue life of the optimization scheme needs to be longer than the design life, and the 2 nd level check can be passed. And the optimization control criterion of the 3 rd-level truss type wind turbine foundation design is comprehensive comparative analysis, namely, the cost comprehensive evaluation is carried out on all the optimization schemes passing the first two-level inspection. In the 3 rd-level inspection, the steel amount of the structure is not used as a single evaluation index, but factors such as processing and installation difficulty, construction period, overall static performance, dynamic performance, fatigue performance and the like of the structure of the optimization scheme are comprehensively considered, and the optimal truss type fan foundation type is screened out from each optimization scheme.
In summary, a specific flow of the multi-criteria multi-parameter truss type wind turbine foundation optimization strategy is shown in fig. 3. All design parameters forming the truss type fan basic optimization scheme meet the requirements of corresponding constraint conditions, all the design parameters are within a value range, all the size design parameters are changed according to a set step length, and each formed optimization scheme is substituted into a multi-criterion control algorithm. If the optimization inspection of the first two stages can be passed, entering the 3 rd stage as an optimal scheme alternative; if the optimization inspection of the first two stages cannot be passed, returning to the integral model, changing design parameters according to the step length, forming a new optimization scheme and then carrying out multi-stage inspection.
The following describes the optimization strategy of the truss type wind turbine foundation according to the present invention in detail by using an engineering example with reference to the accompanying drawings.
Multi-criterion multi-parameter based on medium water depth sea area truss type fan foundation structureAnd the optimization strategy is used for carrying out optimization design on a certain wind power structure, so that the actual effect of the structure optimization strategy is verified. The water depth of the target engineering site is designed to be 21m, the extreme high tide level is +4.56m in 50 years, and H is in 50 years1％12.90m and an average wave period of 10.29 s. The installed power of the wind turbine generator is 4MW, and the wheel hub elevation is +90 m.
According to the truss type fan foundation optimization strategy, all design parameters are combined into a series of optimization schemes to carry out the 1 st level inspection, namely static analysis and modal analysis are respectively carried out. In the design parameter searching process, according to a step-by-step searching strategy, when the optimization scheme cannot pass the control criterion inspection, the diameter of the truss leg, the diameter of the stay bar and the diameter of the inclined strut of the transition section in the integral model are used as design parameters which are firstly adjusted, and the adjustment step length is set to be 50 mm. When the control criterion can not be converged even if the design parameters of the whole structure are changed, the inclination s of the main leg and the topological aspect ratio alpha in the topological form of the truss structure are further adjusted, the inclination adjustment step length is set to be 2, and the aspect ratio adjustment step length is changed along with the span number of the X-shaped vertical face inclined strut. And when the control criterion can not be converged even if the topological form design parameters of the truss structure are changed, continuously returning to the design parameters of the beam size in the adjustment deck size, and determining the adjustment step length by enhancing/weakening a model along with the steel sheet. And when the control criterion can not be converged by changing the design parameters of the deck size, finally adjusting the apparent inclination angle of the inclined strut and the distance between the truss legs at the deck in the topological form of the transition section, setting the adjustment step length of the apparent inclination angle to be 1 DEG, and setting the adjustment step length of the distance between the truss legs to be 0.5 m.
The abscissa in fig. 4 is the optimization order, i.e. the optimization scheme number for which the level 1 test was performed. The right ordinate is the 1 st order natural frequency of the optimization scheme, and the left ordinate is the static analysis test index. The 1 st level control criterion requires that the detection indexes of displacement, rod UC value and tube node IR value and 1 st order natural frequency simultaneously meet the requirements of the specification and the fan manufacturer. As can be seen, a total of 2 optimization schemes passed the level 1 test. These two optimization schemes have very similar structural patterns, as shown in fig. 5. The sizes of the rod pieces are completely the same in the two optimized schemes, and only the inclination of the truss legs is different, wherein the inclination of the main leg in the scheme 1 is 10, and the inclination of the main leg in the scheme 2 is 12.
The level 2 test is a fatigue analysis of the optimization scheme passing the level 1 test. For the wind power engineering site sea area, the wind power structure mainly experiences wind-induced fatigue and wave fatigue, and wind-induced fatigue analysis and wave fatigue analysis are respectively carried out on the two optimization schemes in the 2 nd level control criterion inspection. The wind-induced fatigue and the wave fatigue damage are linearly superposed, the minimum fatigue life of the structure obtained in the optimization scheme 1 is 525 years, the minimum fatigue life of the structure obtained in the optimization scheme 2 is 562 years, the requirements on the fatigue life are met, and the test can be carried out through the level 2 test.
The two optimization schemes 1 and 2 can be checked through the control criteria of the first two stages, the structural types of the two optimization schemes are very close, and all indexes of the structures meet the requirements of specifications and design. Compared with the two schemes in detail, the scheme 1 is more prominent in the aspect of controlling the horizontal displacement of the top of the foundation ring, and the difference of other indexes is very small, so that the recommended optimization scheme 1 is the truss type wind turbine foundation structure type in the sea area with medium water depth.
The basic model and the detailed implementation process of the truss type wind turbine in the optimization scheme are shown in FIG. 5.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (7)
1. An optimal design method for a truss type wind turbine foundation structure in a medium-water-depth sea area is characterized by comprising the following steps:
a. based on theoretical analysis and investigation on the existing engineering examples, the proposed values of given design parameters and the constraint conditions for limiting the value range of the design parameters are collated and summarized to form a design experience library suitable for the truss type fan foundation structure in the medium water depth sea area;
b. grading each design parameter according to the optimization sequence to form a design parameter step-by-step searching method; collecting all levels of design parameters in an integral model to form a design scheme library;
c. grading the control criteria according to the importance degree and sensitivity of the structural design control criteria, thereby decoupling each control criteria, carrying out hierarchical calculation analysis on the control criteria of the design scheme library, and carrying out standard inspection and check;
d. through the implementation steps, the design scheme is subjected to multi-level control criterion inspection and evaluation, and meanwhile, the quality of the actual engineering of the design scheme is comprehensively considered, so that the optimal structural design scheme is finally obtained.
2. The method for optimally designing the truss-type wind turbine foundation structure in the medium water depth sea area according to claim 1, wherein the optimization classification of each design parameter in the step b comprises a transition section topology variable, a deck size variable and a truss structure topology variable which are searched step by step.
3. The method of claim 2, wherein the topological variables of the transition section comprise an apparent dip angle of a diagonal brace of the transition section and a distance between deck plates of the truss legs, the variables of the deck sizes are deck beam sizes, and the topological variables of the truss structure comprise a slope of a main leg and a topological aspect ratio.
4. The method for optimally designing the truss-type wind turbine foundation structure in the medium water depth sea area according to claim 1, wherein the control criterion in the step c is divided into three inspection standards of stage-by-stage inspection:
the first-stage inspection standard comprises parallel static analysis and modal analysis, wherein the static analysis is used for inspecting whether the optimized scheme meets the strength requirement and the deformation requirement in the specification, and the modal analysis is used for inspecting whether the 1 st order natural frequency of the optimized scheme is in an allowable frequency range;
a second level of inspection criteria, which is fatigue analysis, for inspecting the durability of the optimized solution structure;
and a third-level inspection standard, performing cost comprehensive evaluation on all the optimization schemes passing the first two-level inspection, and screening out the optimal truss type fan foundation type from the optimization schemes.
5. The method for optimally designing the truss-type fan foundation structure in the medium water depth sea area according to claim 4, wherein the purpose of the static analysis is to check whether the optimized scheme meets the strength requirement and the deformation requirement in the specification, that is, whether the values of the member stress UC and the pipe node stress IR are less than 1.0, and whether the deformation and the corner of the fan foundation structure are less than the allowable values; the purpose of the modal analysis is to verify whether the 1 st order natural frequency of the optimization is within the allowed frequency range, i.e. between the fan vibration frequencies 1P and 3P.
6. The method for optimally designing the truss type wind turbine foundation structure in the medium water depth sea area according to claim 4, wherein the fatigue analysis comprises wind-induced fatigue analysis, wave fatigue analysis and ice-induced fatigue analysis, and the fatigue life of the optimized scheme is required to be longer than the design life.
7. The method for optimally designing the truss-type wind turbine foundation structure in the medium water depth sea area according to claim 4, wherein the third-level inspection standard comprehensively considers factors including processing and installation difficulty, construction period, overall static performance, dynamic performance and fatigue performance of the optimized scheme structure.
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| CN113239483A (en) * | 2021-04-27 | 2021-08-10 | 中国华能集团清洁能源技术研究院有限公司 | Integral cost reduction optimization design method for offshore wind turbine supporting structure |
| CN113239483B (en) * | 2021-04-27 | 2022-12-13 | 中国华能集团清洁能源技术研究院有限公司 | Integral cost reduction optimization design method for offshore wind turbine supporting structure |
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Application publication date: 20210108 |