A scheme for improving computational efficiency of quasi-two-dimensional model

IF 3.4 3区 工程技术 Q1 MECHANICS
Tae Uk Jang , Yue-bin Wu (伍悦滨) , Ying Xu (徐莹) , Qiang Sun (孙强)
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引用次数: 6

Abstract

The quasi-2D model, taking into account the axial velocity profile in the cross section and neglecting the convective term in the 2-D equation, can more accurately simulate the water hammer than the 1-D model using the cross-sectional mean velocity. However, as compared with the 1-D model, the quasi-2D model bears a higher computational burden. In order to improve the computational efficiency, the 1-D method is proposed to be used to solve directly the pressure head and the discharge in the quasi-2D model in this paper, based on the fact that the pressure head obtained as the solution of the two-dimensional characteristic equation is identical to that solved by the 1-D characteristic equations. The proposed scheme solves directly the 1-D characteristic equations for the pressure head and the discharge using the MOC and solves the 2-D characteristic equation for the axial velocities in order to calculate the wall shear stress. If the radial velocity is needed, it can be evaluated easily by an explicit equation derived from the explicit 2-D characteristic equation. In the numerical test, the accuracy and the efficiency of the proposed scheme are compared with two existing quasi-two-dimensional models using the MOC. It is shown that the proposed scheme has the same accuracy as the two quasi-2D models, but requires less computational time. Therefore, it is efficient to use the proposed scheme to simulate the 2-D water hammer flows.

一种提高准二维模型计算效率的方案
拟二维模型考虑了横截面上的轴向速度分布,忽略了二维方程中的对流项,比采用横截面平均速度的一维模型更能准确地模拟水锤。然而,与一维模型相比,准二维模型的计算量更高。为了提高计算效率,本文基于二维特征方程解得到的压头与一维特征方程解得到的压头相同的特点,提出用一维方法直接求解准二维模型中的压头和流量。该方案利用MOC直接求解压头和流量的一维特征方程,求解轴向速度的二维特征方程,从而计算壁面剪应力。如果需要径向速度,则可以通过由显式二维特征方程导出的显式方程来计算。在数值试验中,利用MOC与已有的两种准二维模型进行了精度和效率的比较。结果表明,该方案与两种准二维模型具有相同的精度,但所需的计算时间更少。因此,采用该方法模拟二维水锤流是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.90
自引率
0.00%
发文量
1240
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