Computational analysis of a dense granular system driven by a propagating shock wave in an Eulerian–Eulerian framework

Author:

Lai S.ORCID,Rao Y.,Wang H.ORCID

Abstract

Numerical simulations using an Eulerian–Eulerian approach are performed to investigate the problem of a dense granular bed driven by a propagating shock wave with special emphasis on the particle-phase behavior. Validation of the granular model based on the kinetic theory of granular flow is performed by comparing the simulation results with experimental data on the shock-particle curtain interaction by Ling et al. [Phys. Fluids 24, 113301 (2012)]. Then, simulations of a Mach-1.92 shock propagating into an infinite-long granular system are tested, where the particle diameter, density, and volume fraction are 115 μm, 2520 kg/m3, and 21%, respectively. The simulations demonstrate that as the gas-phase shock interacts with the granular system, a reflected shock, a contact surface, and a transmitted shock wave form instantly. Meanwhile, a dilute region, a densely packed region, and an “excitation and relaxation” region behind the granular shock are observed. The physics of the granular shock structures are elucidated through an evaluation of forces and pseudo-thermal energy (PTE) fluctuations. It is shown that the combination of a positive drag force and Archimedes force are responsible for the particle motion, while the intergranular stress has a negative contribution in most of the region. The PTE is generated in the initial stage owing to the velocity slip (ϕslip) then dissipates primarily due to particle inelastic collisions (−γ̇l) until particles reach an equilibrium state in the later stages. Finally, the effects of particle parameters including the initial particle packing (αs) and the coefficient of restitution (e) are elucidated and discussed. The results show that the particle concentration greatly affects the granular shock velocity, and as the collisions become less ideal, particle clusters are observed in the dilute region.

Funder

National Science Foundation of China

Shanghai Pujiang Program

Publisher

AIP Publishing

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3