five

Supporting data belonging to the publication On optimizing the sensor spacing for pressure measurements on wind turbine airfoils

收藏
DataCite Commons2024-09-05 更新2024-07-03 收录
下载链接:
https://data.4tu.nl/datasets/99662eaf-ac79-4952-ad80-6d7de3708427
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset is intended to support the findings of the publication "On optimizing the sensor spacing for pressure measurements on wind turbine airfoils" by Fritz, Kelley and Brown (2024). The dataset contains a Matlab routine that runs the pressure sensor optimization for the FFA-W3-241 airfoil based on a genetic algorithm as well as a sequential quadratic programming optimization routine. It imports results of the widely used code XFOIL as input. Results are compared against a cosine sensor spacing. This script aims to provide a simplified overview of how these optimization routines are implemented in Matlab and how the results can be interpreted.

本数据集旨在支撑Fritz、Kelley与Brown于2024年发表的论文《风电翼型压力测量的传感器间距优化》(On optimizing the sensor spacing for pressure measurements on wind turbine airfoils)的相关研究结论。数据集包含一套Matlab程序,其中集成了针对FFA-W3-241翼型的压力传感器间距优化例程,分别基于遗传算法(genetic algorithm)与序列二次规划(sequential quadratic programming)两种优化方法。该程序导入广泛使用的XFOIL代码的计算结果作为输入,并将优化所得的传感器间距方案与余弦分布传感器间距方案进行对比。本脚本旨在简明展示上述两类优化算法在Matlab中的实现逻辑,以及如何对其优化结果进行解读。
提供机构:
4TU.ResearchData
创建时间:
2024-01-17
二维码
社区交流群
二维码
科研交流群
商业服务