Numerical study of the splashing wave induced by a seaplane using mesh-based and particle-based methods

In recent years,forest fires and maritime accidents have occurred frequently,which have had a bad impact on human production and life.Thus,the development of seaplanes is an increasingly urgent demand.It is important to study the taxiing process of seaplanes for the development of seaplanes,which is a strong nonlinear fluid-structure interaction problem.In this paper,the smoothed particle hydrodynamics(SPH)method based on the Lagrangian framework is utilized to simulate the taxiing process of seaplanes,and the SPH results are compared with those of the finite volume method(FVM)based on the Eulerian method.The results show that the SPH method can not only give the same accuracy as the FVM but also have a strong ability to capture the splashing waves in the taxiing process,which is quite meaningful for the subsequent study of the effect of a splash on other parts of the seaplane.

光滑粒子流体动力学框架下的EoSB空化模型及空化流动数值模拟研究

过去十余年来,光滑粒子流体动力学(Smoothed Particle Hydrodynamics,SPH)研究领域一直在探索空化流动的数值模拟,但迄今为止依然没有精确且稳定的SPH空化模型.本文将阐述一种在SPH框架内实现空化流动模拟的数值方法.首先,为了捕捉空化初生及其发展,本文在SPH框架内提出一种基于状态方程的相变模型.特别地,本文还引入一种粒子体积自适应算法(Volume Adaptive Scheme,VAS),以保证空化区域流体剧烈膨胀时粒子体积分布的均一性.此外,本文还采用粒子位移修正技术(Particle Shifting Technique,PST)和张力不稳定性控制技术(Tensile Instability Control,TIC)以提高粒子分布质量和抑制数值空洞的产生.最后,本文还通过引入大涡模拟(Large Eddy Simulation,LES)模型以考虑湍流效应,提高本文提出的SPH空化模型对高雷诺数流动的适用性.研究结果表明,本文提出的基于SPH方法的新空化模型能实现空化区域和压力分布等问题的精确预报.