自由落体楔入平静水中的验证练习

J. Muralha, L. Eça, A. Maximiano, G. Vaz
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引用次数: 0

摘要

本文利用流体体积法(VOF)和移动网格技术对Navier-Stokes解算器在静水中自由落体的模拟中的建模误差进行了评估(验证)。对该问题进行了实验研究,确定了位于楔形表面的六个压力探头的时程和楔形的加速度。模拟仅限于楔块撞击水后的前100ms(撞击时t = 0),数学模型使用以下假设:不可压缩流体;二维,层流,可忽略的剪切应力在楔和深水表面。所选的感兴趣的量是六个传感器的峰值压力,传感器峰值压力之间的时间间隔,六个不同时刻的传感器压力和楔形加速度,以及第一个传感器压力峰值后80ms的综合压力信号。介绍了ASME v&v20标准在局部量中的应用,包括实验不确定性和数值不确定性的估计。此外,还使用多元度量来定量评估数学模型的整体性能。结果显示加速度的比较误差(模拟和测量之间的不匹配)很大,这可能是假设底部有深水边界条件的结果。然而,这一结论受到了对实验数据准确性的质疑。另一方面,对于六个传感器的压力测量,建模误差明显较小,其主要挑战是减少验证不确定度Uval。在许多选定的流量中,Uval受实验不确定性的支配。
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Validation Exercises for a Free Falling Wedge Into Calm Water
This paper presents the assessment of the modelling error (Validation) of a Navier-Stokes solver using Volume of Fluid (VOF) and moving grid techniques in the simulation of a free falling wedge into calm water. This problem has been studied experimentally to determine the time histories of six pressure probes located on the wedge surface and the acceleration of the wedge. The simulation is restricted to the first 100ms after the impact of the wedge on the water (t = 0 at the impact) and the mathematical model uses the following assumptions: incompressible fluid; two-dimensional, laminar flow, negligible shear-stress at the surface of the wedge and deep water. The selected quantities of interest are the peak pressures at the six sensors, time intervals between peak pressures at the sensors, sensors pressures and acceleration of the wedge at six different time instants and integrated pressure signals for 80ms after the pressure peak at the first sensor. The application of the ASME V&V 20 standard to local quantities is presented, including the estimation of experimental and numerical uncertainties. Furthermore, a multivariate metric is used to evaluate quantitatively the overall performance of the mathematical model. The results show significant comparison errors (mismatches between simulations and measurements) for the accelerations, which may be a consequence of the assumptions of a deep water boundary condition at the bottom. However, such conclusion is hampered by some doubts about the accuracy of the experimental data. On the other hand, modeling errors are significantly smaller for the pressure measurements at the six sensors for which the main challenge is to reduce the validation uncertainty Uval. In many of the selected flow quantities, Uval is dominated by the experimental uncertainty.
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