金阿芳, 买买提明·艾尼, 胡国玉, 牟阳阳. 基于SPH方法的沙粒流体起跳风速的研究[J]. 工程力学, 2014, 31(9): 14-20,27. DOI: 10.6052/j.issn.1000-4750.2013.04.0293
引用本文: 金阿芳, 买买提明·艾尼, 胡国玉, 牟阳阳. 基于SPH方法的沙粒流体起跳风速的研究[J]. 工程力学, 2014, 31(9): 14-20,27. DOI: 10.6052/j.issn.1000-4750.2013.04.0293
JIN A-fang, Maimtimin GENI, HU Guo-yu, MOU Yang-yang. STUDY ON THE THRESHOLD FLUID WIND VELOCITY FOR SAND PARTICLE TAKE-OFF USING THE SPH METHOD[J]. Engineering Mechanics, 2014, 31(9): 14-20,27. DOI: 10.6052/j.issn.1000-4750.2013.04.0293
Citation: JIN A-fang, Maimtimin GENI, HU Guo-yu, MOU Yang-yang. STUDY ON THE THRESHOLD FLUID WIND VELOCITY FOR SAND PARTICLE TAKE-OFF USING THE SPH METHOD[J]. Engineering Mechanics, 2014, 31(9): 14-20,27. DOI: 10.6052/j.issn.1000-4750.2013.04.0293

基于SPH方法的沙粒流体起跳风速的研究

STUDY ON THE THRESHOLD FLUID WIND VELOCITY FOR SAND PARTICLE TAKE-OFF USING THE SPH METHOD

  • 摘要: 运用光滑粒子流体动力学(Smoothed Particle Hydrodynamics: SPH)方法对沙粒在气流中的起跳现象进行数值模拟。沙粒的起动风速一直是风沙两相流研究的重点内容。SPH方法将整个计算区域离散成两种分别代表气相的和沙粒相的单个粒子。在气相粒子的作用下,每个沙粒从起跳到在气相粒子的作用下随着气相粒子运动的过程都可以被动态地呈现出来。该文首先介绍了SPH方法基本理论,详细评述了SPH公式中的核心因素及其对数值模拟结果的影响,提出了风沙二相流的SPH数值模型;其次对数值模型进行了离散化,设置边界条件对沙粒的起跳过程进行数值模拟;最后将数值模拟结果与已有的起动风速的实验测量结果及他人的数值模拟结果进行比较,结果表明:用该方法计算的结果与前人所进行的研究结果是一致的,并且得到一些新的结论。

     

    Abstract: The smoothed particle hydrodynamics (SPH) method is used in this study to simulate the take-off phenomenon of sand particles in air flows. The threshold wind velocity for sand particle take-off has always been the focus of wind-blown sand two phase flow studies. Using the SPH method, the whole computational domain is discretized into two single phase particles, representing respectively the air phase and the sand particle phase. The movement of an individual sand particle under the action of air phase particles is dynamically simulated. Key factors in the SPH formulation and their influence on numerical simulation are first introduced in this study. Subsequently, the SPH numerical model of wind-sand two-phase flow is proposed; the computational domain is discretized, and boundary conditions are specified. Comparisons between the modelling results and experimental measurements and published data from literature confirm the validity of the proposed model. Novel conclusions are derived accordingly.

     

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