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POD investigation of the unsteady turbulent boundary layer developing over porous moving flexible fishing net structure

机译:多孔移动柔性渔网结构上非定常湍流边界层的POD研究

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Particle image velocimetry (PIV) measurements are made to investigate the boundary layer developing over a modeled bottom trawl. The random motion of the fishing net structure as well as the flexibility and the porosity of this structure means that it is not enable to access the main characteristics of such a flow, using classical post-processing mathematical tools. An innovative post-treatment tool based on proper orthogonal decomposition (POD) is then developed to extract the mean velocity flow field from each available PIV instantaneous unsteady velocity field. In order to do so, the whole available velocity database is used to compute POD eigenfunctions and the first POD modes are identified as representing the mean flow field. It is then possible to deduce the mean boundary layer flow field for each position of the fishing net structure during PIV measurements. It is then observed that the mean flow field strongly depends on multiple parameters such as surface curvature, structure porosity, random motion of the structure. Streamwise evolution of classical thicknesses of boundary layer flow are also analyzed. The present work also provides benchmark PIV data of the unsteady flow developing on fishing net porous structures, which helps the progress in unsteady numerical codes for this investigation.
机译:进行了粒子图像测速(PIV)测量,以研究在建模的拖网上形成的边界层。渔网结构的随机运动以及该结构的柔韧性和孔隙度意味着无法使用经典的后处理数学工具访问此类流的主要特征。然后,开发了一种基于适当正交分解(POD)的创新后处理工具,以从每个可用的PIV瞬时非定常速度场中提取平均速度流场。为此,将整个可用速度数据库用于计算POD本征函数,并将第一个POD模式标识为代表平均流场。然后,有可能在PIV测量过程中得出渔网结构每个位置的平均边界层流场。然后观察到,平均流场强烈取决于多个参数,例如表面曲率,结构孔隙率,结构的随机运动。还分析了边界层流经典厚度的流向演化。目前的工作还提供了在渔网多孔结构上产生的非恒定流的基准PIV数据,这有助于该研究的非恒定数值代码的发展。

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