CN110955957A - Method and device for determining structural strength of wind turbine hub lifting lug - Google Patents
Method and device for determining structural strength of wind turbine hub lifting lug Download PDFInfo
- Publication number
- CN110955957A CN110955957A CN201911090221.1A CN201911090221A CN110955957A CN 110955957 A CN110955957 A CN 110955957A CN 201911090221 A CN201911090221 A CN 201911090221A CN 110955957 A CN110955957 A CN 110955957A
- Authority
- CN
- China
- Prior art keywords
- model
- analysis result
- sub
- boundary
- lifting lug
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Abstract
The disclosure belongs to the technical field of wind power generation, and particularly relates to a method and a device for determining the structural strength of a lifting lug of a hub of a wind turbine. The method comprises the following steps: analyzing the global model of the wind wheel hub structure to obtain a first analysis result set; establishing a sub-model of a lifting lug of a hub of the wind turbine, wherein a coordinate system of the sub-model is consistent with a coordinate system of the global model, and the grid size of the sub-model is smaller than that of the global model; determining a first analysis result corresponding to each node in a plurality of nodes of a boundary between the global model and the sub-model; and determining a second analysis result set of the structural strength of the lifting lug according to the first analysis results corresponding to the plurality of nodes of the boundary and the submodel. The embodiment of the disclosure effectively shortens the calculation period and saves the cost of manpower and material resources.
Description
Technical Field
The invention belongs to the technical field of wind power generation, and particularly relates to a method and a device for determining the structural strength of a lifting lug of a hub of a wind turbine.
Background
Generally speaking, a lifting lug is arranged on a hub of a wind turbine and can be used for transporting and lifting the hub, in the lifting process, stress distribution on a bearing surface of the lifting lug is very complex, and aiming at a hub casting piece in a large wind turbine generator set, which is a high-quality device, the intensity of the lifting lug must be calculated so as to avoid damage to the lifting lug in the hub lifting process. The finite element calculation method becomes the mainstream of fan part strength check, the design and analysis of the wind generating set can be more accurate,
in the correlation technique, wind turbine wheel hub lug structure boundary condition is more complicated, and model size compares very little with the whole model size of wheel hub, if the stress condition of tiny structure of detailed analysis, all carries out the net and encrypts the processing, and this can bring great calculated amount, arouses simultaneously that stress concentration problem leads to the computational result inaccurate, therefore how effectively to calculate the intensity of wind turbine wheel hub lug becomes the problem that awaits a moment and solve.
Disclosure of Invention
In order to overcome the problems in the related art, a method and a device for determining the structural strength of a lifting lug of a hub of a wind turbine are provided.
According to an aspect of the embodiments of the present disclosure, there is provided a method for determining a structural strength of a lifting lug of a hub of a wind turbine, the method including:
establishing a global model of a wind wheel hub structure;
analyzing the global model to obtain a first analysis result set of the structural strength of the wind wheel hub structure;
establishing a sub-model of a lifting lug of the hub of the wind turbine, wherein a coordinate system of the sub-model is consistent with a coordinate system of the global model, and the grid size of the sub-model is smaller than that of the global model;
determining a plurality of nodes of a boundary between the global model and the sub-model;
determining a first analysis result corresponding to each node of the boundary from the first analysis result set;
and determining a second analysis result set of the structural strength of the lifting lug according to the first analysis results corresponding to the plurality of nodes of the boundary and the submodel.
In one possible implementation, the method further includes:
and verifying the correctness of the second analysis result set of the structural strength of the lifting lug according to the first analysis results corresponding to the plurality of nodes of the boundary.
In one possible implementation, if the first analysis result corresponds to a plurality of nodes of the boundary, the first analysis result is consistent with the second analysis result.
In one possible implementation, the grid size of the submodel is between 30 mm to 50 mm.
According to another aspect of the disclosed embodiments, there is provided an apparatus for determining a structural strength of a lifting lug of a hub of a wind turbine, the apparatus including:
the first establishing module is used for establishing a global model of the wind power hub structure;
the analysis module is used for analyzing the global model to obtain a first analysis result set of the structural strength of the wind wheel hub structure;
the second establishing module is used for establishing a sub-model of a lifting lug of the hub of the wind turbine, a coordinate system of the sub-model is consistent with a coordinate system of the global model, and the grid size of the sub-model is smaller than that of the global model;
a first determining module for determining a plurality of nodes of a boundary between the global model and the sub-model;
a second determining module, configured to determine, from the first analysis result set, a first analysis result corresponding to each node of the boundary;
and the third determining module is used for determining a second analysis result set of the structural strength of the lifting lug according to the first analysis results corresponding to the plurality of nodes of the boundary and the submodel.
In one possible implementation, the apparatus further includes:
and the verification module is used for verifying the correctness of the second analysis result set of the structural strength of the lifting lug according to the first analysis results corresponding to the plurality of nodes of the boundary.
In one possible implementation, if the first analysis result and the second analysis result correspond to the plurality of nodes of the boundary, it is determined that the second analysis result set is correct.
In one possible implementation, the grid size of the submodel is between 70 mm and 50 mm.
According to another aspect of an embodiment of the present disclosure, a non-transitory computer-readable storage medium has stored thereon computer program instructions which, when executed by a processor, implement the above-described method.
The invention has the beneficial effects that: according to the embodiment of the invention, on the basis of analyzing the result of the overall model of the hub of the wind turbine, the grid submodel with the grid smaller than the overall model is used for further analyzing the local part of the hub of the wind turbine, so that a more accurate result is obtained at a lower calculation cost, the defects of excessive division and difficult calculation of structural units of large equipment are effectively avoided, the calculation period is effectively shortened, and the cost of manpower and material resources is saved.
Drawings
FIG. 1 is a flow chart illustrating a method for determining structural strength of a wind turbine hub lifting lug in accordance with an exemplary embodiment.
FIG. 2 is a block diagram illustrating an apparatus for determining structural strength of a wind turbine hub lifting lug according to an exemplary embodiment.
Detailed Description
The invention is described in further detail below with reference to the figures and the embodiments.
FIG. 1 is a flow chart illustrating a method for determining structural strength of a wind turbine hub lifting lug in accordance with an exemplary embodiment. The method can be applied to computer equipment such as desktop computers, notebook computers or servers, and the embodiment of the disclosure does not limit the method. As shown in fig. 1, the method may include:
102, establishing a sub-model of a lifting lug of the hub of the wind turbine, wherein a coordinate system of the sub-model is consistent with a coordinate system of the global model, and the grid size of the sub-model is smaller than that of the global model;
and 105, determining a second analysis result set of the structural strength of the lifting lug according to the first analysis results corresponding to the plurality of nodes of the boundary and the submodel.
As an example of this embodiment, Hypermesh (a computer aided engineering software, or a finite element preprocessing software) may be used to complete establishing a global model for the overall structure of the wind hub, and a first analysis result set of the structural strength of the wind hub structure may be obtained based on the global model analysis, where the first analysis result set includes a plurality of first analysis results, and each analysis result may correspond to a node in the global model.
The submodel may be established for the lifting lugs of the hub, wherein the coordinate origin of the submodel may be consistent with the coordinate origins of all models, and the grid size of the submodel may be smaller than the grid size of the global model, for example, the grid size of the submodel may be between 30 mm × 30 mm and 50 mm × 50 mm, and further, the boundary between the lifting lugs and the hub may be located in a region where the lifting lugs and the hub are connected to be relatively flat (for example, the amount of change in the position between each point of the region may be smaller than a preset threshold value). Each node on the boundary can be determined, and a first analysis result corresponding to each node is stored.
For example, the sub-model may be analyzed according to first analysis results corresponding to the plurality of nodes of the boundary read into the text file inp of the sub-model, so as to obtain a second analysis result set representing the structural strength of the lifting lug.
According to the embodiment of the invention, on the basis of analyzing the result of the overall model of the hub of the wind turbine, the grid submodel with the grid smaller than the overall model is used for further analyzing the local part of the hub of the wind turbine, so that a more accurate result is obtained at a lower calculation cost, the defects of excessive division and difficult calculation of structural units of large equipment are effectively avoided, the calculation period is effectively shortened, and the cost of manpower and material resources is saved.
In a possible implementation manner, the correctness of the second analysis result set of the structural strength of the lifting lug may be verified according to the first analysis results corresponding to the plurality of nodes of the boundary.
For example, whether the first analysis result and the second analysis result corresponding to the multiple nodes of the boundary are consistent (or the similar probability is greater than a preset threshold, the verification method is not limited in the embodiment of the present disclosure), and if the first analysis result and the second analysis result corresponding to the multiple nodes of the boundary are consistent, it may be determined that the second analysis result set is correct. For example, it may be determined whether the variable values in the first and second results and the cloud change of the plurality of nodes of the boundary are consistent, and if the results are consistent, the sub-model is considered to be valid. Therefore, the effectiveness of the submodels can be effectively guaranteed, and the error rate is reduced.
FIG. 2 is a block diagram illustrating an apparatus for determining structural strength of a wind turbine hub lifting lug according to an exemplary embodiment. As shown in fig. 2, the apparatus may include:
a first building module 10 for building a global model of a wind hub structure;
the analysis module 11 is configured to analyze the global model to obtain a first analysis result set of the structural strength of the wind turbine hub structure;
the second establishing module 12 is used for establishing a sub-model of the lifting lug of the hub of the wind turbine, the coordinate system of the sub-model is consistent with the coordinate system of the global model, and the grid size of the sub-model is smaller than that of the global model;
a first determining module 13 for determining a plurality of nodes of a boundary between the global model and the sub-model;
a second determining module 14, configured to determine, from the first analysis result set, a first analysis result corresponding to each node of the boundary;
and a third determining module 15, configured to determine a second analysis result set of the structural strength of the lifting lug according to the first analysis results corresponding to the multiple nodes of the boundary and the sub-model.
In one possible implementation, the apparatus further includes:
and the verification module is used for verifying the correctness of the second analysis result set of the structural strength of the lifting lug according to the first analysis results corresponding to the plurality of nodes of the boundary.
In one possible implementation, if the first analysis result and the second analysis result correspond to the plurality of nodes of the boundary, it is determined that the second analysis result set is correct.
In one possible implementation, the grid size of the submodel is between 70 mm and 50 mm.
The description of the above apparatus has been set forth in detail in the description of the above method, and is not repeated here.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein were chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the techniques in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. It is intended that the present invention cover the modifications and variations of this invention provided they come within the scope of the appended claims and their equivalents.
Claims (9)
1. A method for determining the structural strength of a lifting lug of a hub of a wind turbine is characterized by comprising the following steps:
establishing a global model of a wind wheel hub structure;
analyzing the global model to obtain a first analysis result set of the structural strength of the wind wheel hub structure;
establishing a sub-model of a lifting lug of the hub of the wind turbine, wherein a coordinate system of the sub-model is consistent with a coordinate system of the global model, and the grid size of the sub-model is smaller than that of the global model;
determining a plurality of nodes of a boundary between the global model and the sub-model;
determining a first analysis result corresponding to each node of the boundary from the first analysis result set;
and determining a second analysis result set of the structural strength of the lifting lug according to the first analysis results corresponding to the plurality of nodes of the boundary and the submodel.
2. The method of claim 1, further comprising:
and verifying the correctness of the second analysis result set of the structural strength of the lifting lug according to the first analysis results corresponding to the plurality of nodes of the boundary.
3. The method of claim 2, wherein the first analysis result corresponds to the second analysis result if the plurality of nodes of the boundary correspond to each other.
4. The method of claim 1, wherein the sub-model has a mesh size between 30 mm x 30 mm and 50 mm x 50 mm.
5. An apparatus for determining structural strength of a wind turbine hub lifting lug, the apparatus comprising:
the first establishing module is used for establishing a global model of the wind power hub structure;
the analysis module is used for analyzing the global model to obtain a first analysis result set of the structural strength of the wind wheel hub structure;
the second establishing module is used for establishing a sub-model of a lifting lug of the hub of the wind turbine, a coordinate system of the sub-model is consistent with a coordinate system of the global model, and the grid size of the sub-model is smaller than that of the global model;
a first determining module for determining a plurality of nodes of a boundary between the global model and the sub-model;
a second determining module, configured to determine, from the first analysis result set, a first analysis result corresponding to each node of the boundary;
and the third determining module is used for determining a second analysis result set of the structural strength of the lifting lug according to the first analysis results corresponding to the plurality of nodes of the boundary and the submodel.
6. The apparatus of claim 5, further comprising:
and the verification module is used for verifying the correctness of the second analysis result set of the structural strength of the lifting lug according to the first analysis results corresponding to the plurality of nodes of the boundary.
7. The apparatus of claim 6, wherein the second set of analysis results is determined to be correct if a first analysis result and a second analysis result corresponding to a plurality of nodes of the boundary are consistent.
8. The apparatus of claim 5, wherein the sub-model has a mesh size between 70 mm and 50 mm.
9. A non-transitory computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the method of any of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911090221.1A CN110955957A (en) | 2019-11-08 | 2019-11-08 | Method and device for determining structural strength of wind turbine hub lifting lug |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911090221.1A CN110955957A (en) | 2019-11-08 | 2019-11-08 | Method and device for determining structural strength of wind turbine hub lifting lug |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110955957A true CN110955957A (en) | 2020-04-03 |
Family
ID=69976679
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911090221.1A Pending CN110955957A (en) | 2019-11-08 | 2019-11-08 | Method and device for determining structural strength of wind turbine hub lifting lug |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110955957A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2549100A1 (en) * | 2011-07-18 | 2013-01-23 | Alstom Wind, S.L.U. | Wind turbine generator |
| CN104408253A (en) * | 2014-11-26 | 2015-03-11 | 沈阳华创风能有限公司 | Calculating method for fatigue life checking of fan welding parts |
| CN106874558A (en) * | 2017-01-16 | 2017-06-20 | 许继集团有限公司 | A kind of computational methods of the blower fan mainframe hanger ultimate factor of safety |
| CN107742045A (en) * | 2017-11-02 | 2018-02-27 | 明阳智慧能源集团股份公司 | A kind of limited strength member computational methods of wind power generating set hoisting appliance |
-
2019
- 2019-11-08 CN CN201911090221.1A patent/CN110955957A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2549100A1 (en) * | 2011-07-18 | 2013-01-23 | Alstom Wind, S.L.U. | Wind turbine generator |
| CN104408253A (en) * | 2014-11-26 | 2015-03-11 | 沈阳华创风能有限公司 | Calculating method for fatigue life checking of fan welding parts |
| CN106874558A (en) * | 2017-01-16 | 2017-06-20 | 许继集团有限公司 | A kind of computational methods of the blower fan mainframe hanger ultimate factor of safety |
| CN107742045A (en) * | 2017-11-02 | 2018-02-27 | 明阳智慧能源集团股份公司 | A kind of limited strength member computational methods of wind power generating set hoisting appliance |
Non-Patent Citations (2)
| Title |
|---|
| 晁贯良;苏凤宇;董姝言;齐涛;何海建;: "MW级风力发电机塔顶法兰有限元计算", 机械与电子 * |
| 杨建军;俞华锋;赵生校;张占奎;: "海上风电场升压变电站设计基本要求的研究", 中国电机工程学报 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10565442B2 (en) | Picture recognition method and apparatus, computer device and computer- readable medium | |
| US11836576B2 (en) | Distributed machine learning at edge nodes | |
| US10210285B2 (en) | Methods for generating a floor plan from a building scan | |
| US11030738B2 (en) | Image defect identification | |
| EP3654610A1 (en) | Graphical structure model-based method for prevention and control of abnormal accounts, and device and equipment | |
| US9690555B2 (en) | Optimization of application workflow in mobile embedded devices | |
| US20200089602A1 (en) | Integration times in a continuous integration environment based on statistical modeling | |
| US10834183B2 (en) | Managing idle and active servers in cloud data centers | |
| US10902260B2 (en) | Estimating a height of a cloud depicted in an image | |
| US20160188752A1 (en) | Defining reusable metrics for architectural optimization | |
| CN112347645B (en) | Method and device for reconstructing burnup characteristics of reactor core grid cells | |
| US20170132347A1 (en) | Timing adjustments across transparent latches to facilitate power reduction | |
| US10733537B2 (en) | Ensemble based labeling | |
| US20170124450A1 (en) | Adaptive prediction system | |
| US11295439B2 (en) | Image recovery | |
| US11023627B2 (en) | Modeling and cooperative simulation of systems with interdependent discrete and continuous elements | |
| US20210056457A1 (en) | Hyper-parameter management | |
| CN110955957A (en) | Method and device for determining structural strength of wind turbine hub lifting lug | |
| US11880015B2 (en) | Modeling tropical cyclone surface fields for impact assessment | |
| US20220180174A1 (en) | Using a deep learning based surrogate model in a simulation | |
| CN108038863B (en) | Image segmentation method and device | |
| US9336140B1 (en) | Efficient management of hierarchically-linked data storage spaces | |
| CN111626401B (en) | Operation method and device | |
| US10318796B2 (en) | Age progression of subject facial image | |
| US20160110162A1 (en) | Non-recursive cascading reduction |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |