Method for predicting fatigue life of megawatt wind power generation composite material blade

A technology of composite materials and prediction methods, applied in the fields of electrical digital data processing, instruments, geometric CAD, etc., can solve the problems of reducing the value of blades, not meeting the needs of actual production, fatigue life errors, etc., to achieve good engineering application value, improve Prediction accuracy and the effect of improving simulation accuracy

Pending Publication Date: 2020-05-08
通标标准技术服务(天津)有限公司
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Problems solved by technology

However, this prediction method does not consider the destructiveness caused by fatigue cracks and foreign object damage gaps, resulting in large errors in the final pred

Method used

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Embodiment

[0023] A method for predicting the fatigue life of composite material blades for megawatt wind power generation, comprising:

[0024] Step 1, according to the data of the Meteorological Bureau, combined with the calculation model of the temperature field of the composite material, the temperature field of the blade is calculated, and the time history curve of the time-blade temperature and temperature gradient load is obtained;

[0025] Step 2. Develop the blade-wind speed-wind direction finite element coupling dynamics model, use the pretreatment conjugate gradient method to solve the vibration equation of the coupled system, and perform the dynamic simulation calculation of the blade-wind speed-wind direction coupling system on the computer, and combine the time- Blade temperature and temperature gradient load time-history curve, to obtain the stress time-history curve of each part of the blade under time gradient temperature load;

[0026] Step 3. Develop a wind speed-crack...

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Abstract

The invention discloses a method for predicting the fatigue life of a megawatt wind power generation composite material blade. The method comprises the following steps: establishing a composite material temperature field calculation model; developing a blade-wind speed finite element coupling kinetic model; developing a wind speed-crack-notch interaction model; adding the stress time-history curves in the model to obtain a stress time-history curve of each part of the blade under the combined load; calculating the stress time-history curve by using a rain flow counting method to obtain a two-dimensional fatigue stress spectrum of each part of the blade under the combined load; and establishing an equal-amplitude fatigue median Sn-Sm-N curved surface, and estimating the fatigue life of theblade based on the two-dimensional fatigue stress spectrum according to a Miner linear fatigue cumulative damage criterion to obtain the fatigue life of the blade. The method has the characteristics of improving the fatigue life prediction precision of the wind power generation composite material blade, improving the engineering application value and the like.

Description

technical field [0001] The invention relates to the field of wind generator blade fatigue life prediction. More specifically, the present invention relates to a method for predicting the fatigue life of composite material blades for megawatt wind power generation. Background technique [0002] The existing wind turbine blade fatigue life prediction mainly measures the wind speed on the blade surface, calculates the load on the blade, or installs sensors on the wind turbine to obtain the fatigue load, determines the number of stress cycles, and finally obtains the fatigue life. However, this prediction method does not consider the destructiveness caused by fatigue cracks and foreign object damage gaps, resulting in large errors in the final predicted fatigue life, which does not meet the needs of actual production, and reduces the application of blade fatigue life prediction in engineering applications. value in . Contents of the invention [0003] An object of the presen...

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Application Information

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IPC IPC(8): G06F30/23G06F30/17G06F119/04G06F119/14
Inventor 杨林张国勇
Owner 通标标准技术服务(天津)有限公司
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