首页> 外文会议>AHS international the vertical flight technical society 69th Annual forum proceedings >Impact of Modeling Approach on Flutter Predictions for Very LargeWind Turbine Blade Designs
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Impact of Modeling Approach on Flutter Predictions for Very LargeWind Turbine Blade Designs

机译:建模方法对超大型风力涡轮机叶片设计颤振预测的影响

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Recent predictions for very large wind turbine blades have indicated that flutter may be a significant concern. Indeed,rnprevious predictions showed a decreasing flutter margin (ratio of flutter speed to operating speed) with an increasernin blade length. Previous flutter predictions were performed with a NASTRAN based flutter prediction tool that wasrnoriginally developed for vertical-axis wind turbine blades. Recently, a new flutter prediction tool has been developedrnusing a custom finite element framework. This new tool has the capability to provide a better geometric representationrnof a blade and also provides automated algorithms to perform iterative flutter calculations. In the course of applyingrnthe newly developed tool to very large blade designs, potential issues with modeling approaches were identified. Thernchoice of aeroelastic representation for flutter analysis of very large wind turbine blades was reevaluated, and revisedrnflutter analysis under different representations shows different flutter predictions for very large blade designs.
机译:对于非常大的风力涡轮机叶片的最新预测表明,颤振可能是一个重大问题。确实,先前的预测表明,随着叶片长度的增加,颤动裕度减小(颤动速度与工作速度的比率)。以前的颤振预测是使用基于NASTRAN的颤振预测工具进行的,该工具是针对垂直轴风力涡轮机叶片而专门开发的。最近,使用自定义有限元框架开发了一种新的颤动预测工具。这种新工具不仅可以提供更好的刀片几何图形表示能力,还可以提供自动算法来执行迭代颤动计算。在将新开发的工具应用于超大型叶片设计的过程中,发现了建模方法的潜在问题。重新评估了用于大型风力涡轮机叶片颤振分析的气动弹性表示的选择,在不同表示形式下的修正颤振分析显示了针对大型叶片设计的不同颤振预测。

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    Graduate Student Intern Wind Energy Technologies Department Sandia National Laboratories Albuquerque, New Mexico, U.S.A. bcowens@sandia.gov;

    Principal Member of Technical Staff Wind Energy Technologies Department Sandia National Laboratories Albuquerque, New Mexico, U.S.A.dgriffi@sandia.gov;

    Senior Member of Technical Staff Wind Energy Technologies Department Sandia National Laboratories Albuquerque, New Mexico, U.S.A.brresor@sandia.gov;

    Department of Aerospace Engineering Texas AM University College Station, Texas, U.S.A jehurtado@tamu.edu;

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