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SPARSE: A Subgrid Particle Averaged Reynolds Stress Equivalent Model: Testing with A Priori Closure

机译:spaRsE:子网格粒子平均雷诺应力等效模型:   使用先验关闭进行测试

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摘要

A Lagrangian particle cloud model is proposed that accounts for the effectsof Reynolds-averaged particle and turbulent stresses and the averagedcarrier-phase velocity of the sub-particle-cloud scale on the averaged motionand velocity of the cloud. The SPARSE (Subgrid Particle Average Reynolds StressEquivalent) model is based on a combination of a truncated Taylor expansion ofa drag correction function and Reynolds averaging. It reduces the requirednumber of computational parcels to trace a cloud of particles inEulerian-Lagrangian methods for the simulation of particle-laden flow. Closureis performed in an a priori manner using a reference simulation where allparticles in the cloud are traced individually with a point particle model.Comparison of a first-order model and SPARSE with the reference simulation inone-dimension shows that both the stress and the averaging of the carrier-phasevelocity on the cloud subscale affect the averaged motion of the particle. Athree-dimensional isotropic turbulence computation shows that only onecomputational parcel is sufficient to accurately trace a cloud of tens ofthousand of particles.
机译:提出了拉格朗日粒子云模型,该模型考虑了雷诺平均粒子和湍流应力以及子粒子云尺度的平均载流子相速度对云的平均运动和速度的影响。 SPARSE(亚网格平均雷诺应力等效)模型基于阻力校正函数的截断泰勒展开和雷诺平均的组合。在欧拉-拉格朗日方法中,它减少了计算包裹的数量,以追踪粒子云,以模拟载有粒子的流动。使用参考模拟以先验方式进行闭合,在该模拟中,使用点粒子模型分别跟踪云中的所有粒子。一阶模型和SPARSE与参考模拟的一维比较显示应力和平均云子尺度上的载波相速度会影响粒子的平均运动。三维各向同性湍流计算表明,只有一个计算宗地就足以准确地跟踪成千上万个粒子云。

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