journal article·2023-09-01Open access

Accurate identification of cross-sectional bending stiffness in large-scale wind turbine blades through static loading test

Yi Ma, Aiguo Zhou, Jinlei Shi, Yutian Zhu, Lili Ren

AIP Advances· Volume 13· Issue 9

Abstract

To ensure the safe and stable operation of wind turbines, it is essential that the blades have sufficient bending stiffness to prevent excessive deflection and tower impact. A method combining static loading test and numerical analysis is proposed to solve the problem of identifying the cross-sectional bending stiffness of actual blades. Two working conditions, namely multi-point static test and single-point static calibration, are considered. A mathematical model of a cantilever beam with an initial small curvature and variable cross section is established. By fitting the deflection measurement data obtained from the static loading test, the deflection differential equation is solved by the finite difference method to obtain expressions for the cross-sectional bending stiffness under large and small deflection. The analysis results of several blade models show that the bending stiffness identification error for most blade sections is less than 10%, confirming the effectiveness of this method. This provides a practical and theoretical basis for the design, analysis, and refinement of test parameters for large-scale blades.
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Research context

OpenAlex topics: Structural Health Monitoring Techniques · Optical measurement and interference techniques · Vibration and Dynamic Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Mechanical Engineering, Tongji University 1 , Shanghai 200082, China

Blade Business Unit, Envision Energy Co., Ltd. 2 , Shanghai 200050, China

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