A robust and accurate technique for Lagrangian tracking of bubbles and oil drops and detecting events and supporting data

This dataset contains supporting numerical simulation results used to validate an algorithm for identifying and tracking bubbles under breaking waves. A pseudo-distance error function allows for the identification of continuous, fragmenting, and coalescing bubbles over successive time frames. The parameter space explored includes the weighting of the error function (position, velocity, and volume of bubbles), the number of grid spaces making up a region of interest over which bubbles are identified, and the size of the time frame over which comparisons are made. Three different three-dimensional example fields are included, as are identified bubble, bubble trajectories, and bubble size spectrum and bubble generation size spectrum. A data description file is included with descriptions of the data and format of files in each directory.

本数据集包含用于验证破波环境下气泡识别与追踪算法的配套数值模拟结果。伪距离误差函数（pseudo-distance error function）可实现连续、破碎及聚合气泡在连续时序帧中的识别。本次研究所探索的参数空间涵盖误差函数的权重分配项（气泡位置、速度与体积）、气泡识别所依托的感兴趣区域的网格总数，以及用于时序对比的时间窗口尺度。数据集包含三组不同的三维示例流场，同时涵盖已识别气泡数据、气泡运动轨迹、气泡尺寸谱以及气泡生成尺寸谱。本数据集附带数据说明文件，详述各目录下的数据内容与文件格式。