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Multivariate Gaussian extended quadrature method of moments for turbulent disperse multiphase flow

机译:多元高斯扩展求积矩法   湍流分散多相流

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摘要

The present contribution introduces a fourth-order moment formalism forparticle trajectory crossing (PTC) in the framework of multiscale modeling ofdisperse multiphase flow. In our previous work, the ability to treat PTC wasexamined with direct-numerical simulations (DNS) using either quadraturereconstruction based on a sum of Dirac delta functions denoted asQuadrature-Based Moment Methods (QBMM) in order to capture large scaletrajectory crossing, or by using low order hydrodynamics closures in theLevermore hierarchy denoted as Kinetic-Based Moment Methods (KBMM) in order tocapture small scale trajectory crossing. Whereas KBMM leads to well-posed PDEsand has a hard time capturing large scale trajectory crossing for particleswith enough inertia, QBMM based on a discrete reconstruction suffers fromsingularity formation and requires too many moments in order to capture theeffect of PTC at both small scale and large scale both to small-scaleturbulence as well as free transport coupled to drag in an Eulerian mesoscaleframework. The challenge addressed in this work is thus twofold: first, topropose a new generation of method at the interface between QBMM and KBMM withless singular behavior and the associated proper mathematical properties, whichis able to capture both small scale and large scale trajectory crossing, andsecond to limit the number of moments used for applicability in 2-D and 3-Dconfigurations without losing too much accuracy in the representation ofspatial fluxes. In order to illustrate its numerical properties, the proposedGaussian extended quadrature method of moments (Gaussian-EQMOM) is applied tosolve 1-D and 2-D kinetic equations representing finite-Stokes-number particlesin a known turbulent fluid flow.
机译:本论文在分散多相流的多尺度建模框架中引入了用于粒子轨迹穿越(PTC)的四阶矩形式主义。在我们之前的工作中,使用基于基于Dirac三角函数之和的正交重建(表示为基于矩量的矩量法(QBMM))的正交重建,通过直接数值模拟(DNS)来检查PTC的能力,以便捕获大规模的轨迹交叉。 Levermore层次结构中的低阶流体动力学闭塞表示为基于动力学的矩量法(KBMM),以捕获小规模的轨迹交叉。 KBMM导致定位良好的PDE,并且很难捕获具有足够惯性的粒子的大规模轨迹交叉,而基于离散重构的QBMM则具有奇异性,并且需要太多时间才能在小规模和大规模范围内捕获PTC的效果小型湍流以及自由运输都伴随着欧拉中尺度框架中的阻力。因此,这项工作中面临的挑战是双重的:首先,在QBMM和KBMM之间的界面上提出一种新一代方法,该方法无需奇异的行为和相关的适当数学属性,就可以捕获小规模和大规模的轨迹交叉,其次是限制了在2D和3D配置中适用的矩数,而又不损失空间通量表示的准确性。为了说明其数值特性,将所提出的高斯矩矩扩展正交方法(Gaussian-EQMOM)用于求解表示已知湍流中有限斯托克斯数粒子的一维和二维动力学方程。

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