Dataset for: Oil Droplet Transport under Non-Breaking Waves: An Eulerian RANS Approach Combined with a Lagrangian Particle Dispersion Model

We simulated the two-dimensional regular wave by using Computational Fluid Dynamics (CFD) and coupling the CFD data with Lagrangian Particle Tracking method to evaluate the transport of oil droplet with waves. The dataset was collected from the above mentioned numerical simulation, including the wave velocity, turbulent kinetic energy, eddy diffusivity and oil droplet trajectories. This dataset supports the publication: Golshan, R., Boufadel, M.C., Rodriguez, V.A., Geng, X., Gao, F., King, T., Robinson, B., & Tejada-Martínez, A.E. (2018). Oil Droplet Transport under Non-Breaking Waves: An Eulerian RANS Approach Combined with a Lagrangian Particle Dispersion Model. Journal of Marine Science and Engineering. 6(1), 7; doi: 10.3390/jmse6010007本研究采用计算流体动力学（Computational Fluid Dynamics，CFD）方法，并结合拉格朗日粒子追踪法（Lagrangian Particle Tracking）耦合CFD模拟数据，对二维规则波开展数值模拟，以评估波浪作用下油滴的输运过程。本数据集源自上述数值模拟，涵盖波速、湍流动能、涡扩散系数以及油滴运动轨迹四类核心数据。本数据集关联的发表论文为：Golshan R, Boufadel M C, Rodriguez V A, Geng X, Gao F, King T, Robinson B, Tejada-Martínez A E. 非破碎波浪作用下的油滴输运：结合欧拉RANS方法与拉格朗日粒子弥散模型（Lagrangian Particle Dispersion Model）[J]. 海洋科学与工程学报, 2018, 6(1):7. DOI: 10.3390/jmse6010007