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Method for rapidly predicting fatigue life of wind turbine blade main beam with wrinkle defects

A fatigue life prediction, wind turbine blade technology, applied in the monitoring of wind turbines, wind turbines that are consistent with the wind direction, wind turbines, etc., can solve problems such as material fatigue performance degradation, and achieve simple technology, convenient use, and testing time short effect

Pending Publication Date: 2021-04-27
SHENYANG POLYTECHNIC UNIV
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  • Claims
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Problems solved by technology

However, the existing life prediction models have not been able to establish the relationship between the fatigue performance degradation of materials and the changes in their macroscopic measurable mechanical properties, and only consider the damage index of one factor

Method used

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  • Method for rapidly predicting fatigue life of wind turbine blade main beam with wrinkle defects
  • Method for rapidly predicting fatigue life of wind turbine blade main beam with wrinkle defects
  • Method for rapidly predicting fatigue life of wind turbine blade main beam with wrinkle defects

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Embodiment Construction

[0043] In order to make the technical problems, technical solutions and beneficial effects solved by the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific implementation methods. It should be understood that the specific embodiments described here are only used to explain the present invention, and are not intended to limit the present invention.

[0044] Such as figure 1 As shown, a schematic flow chart of the fatigue life prediction method of the present invention is provided, including:

[0045] Step 1: The main beam specimen with wrinkle defects to be tested is first subjected to a tensile performance test on a universal fatigue testing machine, and its maximum load stress (UTS) is measured. The maximum loading stress of the fatigue test was applied to the specimens in steps of 5% between 20% and 90% of UTS. The test pieces are tested for only 8000 loading cycles each time...

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Abstract

The invention relates to the technical field of fatigue life prediction of wind turbine blades, in particular to a method for rapidly predicting the fatigue life of a wind turbine blade main beam with wrinkle defects. The prediction method is closer to test and actual conditions, and the prediction result is more scientific and accurate. The method comprises the following steps: S1, carrying out tensile property test on a to-be-tested main beam test piece containing wrinkle defects; S2, according to the test piece surface temperature data obtained in the step S1, calculating inherent dissipated energy of the main beam test piece under different loading stresses; S3, drawing a relational graph between the inherent dissipation of the test piece and the corresponding UTS level; S4, establishing a normalized residual stiffness model containing to-be-determined parameters based on the inherent dissipation change in the fatigue process, and substituting fatigue test data into the model; S5, deriving a fatigue life prediction model for the main beam test piece containing the wrinkle defect according to the normalized residual stiffness model after the parameters are determined; and S6, solving the normalized failure rigidity.

Description

technical field [0001] The invention relates to the technical field of fatigue life prediction of wind turbine blades, and is also applicable to methods for fatigue life prediction of other resin-based composite materials; in particular, it relates to a rapid prediction method for the fatigue life of main beams of wind turbine blades with wrinkle defects. Background technique [0002] Wind energy is one of the renewable energy sources that are green, clean, and relatively low in development and utilization costs. The main way to utilize wind energy is to convert wind energy into electrical energy through wind turbines. A wind turbine is a typical electromechanical integration system. The blade is the most important component for a wind turbine to receive wind energy, and its cost accounts for about 15-20% of the total cost of a wind turbine. However, blades have been subjected to harsh working environments and complex alternating loads for a long time, and fatigue damage gr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N3/02G01N3/04G01N3/08G01D21/02
CPCG01N3/02G01N3/04G01N3/08G01D21/02F03D17/00F05B2260/821F05B2260/83F05B2260/84F05B2270/332F05B2270/303G01N2203/0641G01N2203/0005G01N2203/0017G01N2203/0073G01M5/0016Y02E10/72F05B2240/30G01N3/32
Inventor 周勃俞方艾
Owner SHENYANG POLYTECHNIC UNIV
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