基于移动最小二乘逼近的尖锐界面直接强迫浸入边界法

IF 0.7 Q4 MECHANICS
Mehdi Badri Ghomizad, Hosnieh Kor, K. Fukagata
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引用次数: 3

摘要

基于移动最小二乘(MLS)近似,提出了一种具有固定边界和移动边界的不可压缩流体流动的尖锐界面直接强迫浸入边界方法。由于插值的定义域具有高度的灵活性,并且MLS近似提供了解的精确重构近似,因此该方法满足了研究流固耦合问题的数值框架所需的精度和通用性。为了减轻在移动边界嵌入物体上计算的力所产生的固有的伪数值振荡,我们使用了一种两步预测校正方法,该方法在预测步骤之后计算直接强迫项,并施加于整个实体域以及流体域内实体边界的邻近区域。为了表示任意几何形状,我们采用刚体的带符号距离函数表示和插值策略,从而大大减少了在每个时间步重新初始化距离函数的计算成本。该方法对固定边界和移动边界问题都具有潜在的求解能力。我们还解决了一个单圆筒的沉降问题,以证明该方法在解决流固耦合问题方面的能力。数值实验表明,所提出的移动最小二乘浸入边界法可以处理相对复杂的运动问题,同时具有灵活的插值策略,边界条件清晰且精度高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A sharp interface direct-forcing immersed boundary method using the moving least square approximation
Based on the Moving Least Square (MLS) approximation, we propose a sharp interface direct-forcing immersed boundary method for incompressible fluid flows with fixed and moving boundaries. Since the domain of definition for the interpolation is highly flexible and the MLS approximation provides an accurate reconstructed approximation of the solution, the proposed method serves the precision and versatility required for a numerical framework to study the fluid-structure interaction problems. To alleviate the inherent spurious numerical oscillation that occurs in the calculated forces on moving boundary embedded objects, we use a two step predictor-corrector method in which the direct forcing terms are calculated after the predictor step and imposed on the whole solid domain as well as at the immediate vicinity of the solid boundary inside the fluid domain. To represent the arbitrary geometries, we adopt a signed distance function representation of the rigid body and an interpolation strategy to considerably reduce the computational cost of the re-initialization of the distance function at every time step. The potential capability of the method is demonstrated for both fixed and moving boundary problems. We also solve a sedimentation of a single cylinder to demonstrate the ability of the present method in solving fluid-structure interaction problems. These numerical experiments show that the proposed moving least square immersed boundary method can handle relatively complex moving problems while enjoying a versatile interpolation strategy and keeping the boundary conditions sharp with remarkable accuracy.
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来源期刊
CiteScore
1.00
自引率
12.50%
发文量
2
期刊介绍: Journal of Fluid Science and Technology (JFST) is an international journal published by the Fluids Engineering Division in the Japan Society of Mechanical Engineers (JSME). JSME had been publishing Bulletin of the JSME (1958-1986) and JSME International Journal (1987-2006) by the continuous volume numbers. Considering the recent circumstances of the academic journals in the field of mechanical engineering, JSME reorganized the journal editorial system. Namely, JSME discontinued former International Journals and projected new publications from the divisions belonging to JSME. The Fluids Engineering Division acted quickly among all divisions and launched the premiere issue of JFST in January 2006. JFST aims at contributing to the development of fluid engineering by publishing superior papers of the scientific and technological studies in this field. The editorial committee will make all efforts for promoting strictly fair and speedy review for submitted articles. All JFST papers will be available for free at the website of J-STAGE (http://www.i-product.biz/jsme/eng/), which is hosted by Japan Science and Technology Agency (JST). Thus papers can be accessed worldwide by lead scientists and engineers. In addition, authors can express their results variedly by high-quality color drawings and pictures. JFST invites the submission of original papers on wide variety of fields related to fluid mechanics and fluid engineering. The topics to be treated should be corresponding to the following keywords of the Fluids Engineering Division of the JSME. Basic keywords include: turbulent flow; multiphase flow; non-Newtonian fluids; functional fluids; quantum and molecular dynamics; wave; acoustics; vibration; free surface flows; cavitation; fluid machinery; computational fluid dynamics (CFD); experimental fluid dynamics (EFD); Bio-fluid.
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