【24h】

SNAME Paper Abstracts

机译:Sname纸摘要

获取原文
获取原文并翻译 | 示例
           

摘要

This article presents progress on modeling bubble entrainment and transport around ships using hybrid Reynolds-averaged Navier-Stokes/large eddy simulation (RANS/ LES) methods. Previous results using a Boltzmann-based polydisperse bubbly flow model show that LES perform better than RANS in predicting transport of bubbles to depth, a very important process to predict bubbly wakes. However, standard DES type models fail to predict proper turbulent kinetic energy (TKE) and dissipation, needed by bubble entrainment, breakup, and coalescence models. We propose different approaches to obtain TKE and dissipation in LES regions and evaluate them for cases of increasing complexity, including decay of isotropic turbulence, a flat plate boundary layer, and the flow in the wake of the research vessel Athena. An exponential weighted average is used to estimate statistics and obtain the averaged quantities in regions with resolved turbulence. The TKE is satisfactorily predicted in the cases tested. A modified ω equation in the SST model is proposed to implicitly compute the dissipation, showing superior results than the standard DES models, although further improvements are necessary. A hybrid RANS/LES approach is proposed, which focused at conserving total TKE as the flow crosses RANS/ LES interfaces, as previously performed for zonal approaches but attempting a DES-like detection of regions suitable for LES, critical for large-scale computations of bubbly flows involving complex geometries. A general form of a dynamic forcing term is derived to transfer the modeled TKE to resolve TKE with a controller to guarantee proper conservation of the energy transferred. It was verified that the model is not sensitive to grid size or time step. Improvements to DDES and the proposed TKE-conserving hybrid RANS/LES method show encouraging results, although remaining challenges are discussed.
机译:本文介绍了使用混合雷诺平均的Navier-Stokes /大涡模拟(RAN / LES)方法的船舶覆膜和运输围绕船舶运输的进展。以前的结果,使用基于Boltzmann的多分散泡沫模型显示,LES比Rans更好地预测气泡的运输到深度,这是预测气泡唤醒的非常重要的过程。然而,标准的DES型模型无法预测泡沫夹带,分析和聚结模型所需的适当湍流动能(TKE)和耗散。我们提出了不同的方法,以获得LES区域中的TKE和耗散,并评估它们增加复杂性的情况,包括各向同性湍流,平板边界层和研究容器雅典娜之尾的流动。指数加权平均值用于估计统计数据并获得具有解决湍流的区域中的平均量。在测试的病例中,TKE是令人满意的预测。提出了SST模型中的修改ω方程来隐式计算耗散,虽然必要进一步改进,但虽然需要进一步改进,但显示出优于标准的DES模型。提出了一种混合rans / les方法,其聚焦在节省总Tke时,因为流量交叉rans / les界面,如前所述,如前所述,对于Zonal方法,但尝试对适合LES的区域的DES样检测,对于大规模计算至关重要涉及复杂几何形状的气泡流动。导出了一种动态强制术语的一般形式,以将模型的TKE转换为使用控制器解析TKE,以确保转移能量的适当保护。验证了该模型对网格尺寸或时间步不敏感。 DDES的改进和所提出的TKE节约杂交rans方法显示令人鼓舞的结果,尽管讨论了剩余的挑战。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号