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Numerical Investigation of Richtmyer-Meshkov Instability in Reactive Gas Mixtures

Numerical Investigation of Richtmyer-Meshkov Instability in Reactive Gas Mixtures
反应气体混合物中 Richtmyer-Meshkov 不稳定性的数值研究
批准号:
326472365
负责人:
Professor Dr.-Ing. Nikolaus Andreas Adams
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2017
资助国家:
德国
项目状态:
已结题
起止时间:
2016-12-31 至 2020-12-31

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中文摘要
翻译
冲击波与反应混合气体气泡的相互作用引发了Richtmyer-Meshkov不稳定性和化学反应。利用惰性激波-气泡相互作用(SBI),涡量在界面附近通过斜压产生而沉积。入射冲击波在界面处传输和反射。对于浸没在轻气中的重气泡,传播的激波集中在气泡的下游极,导致压力和温度的强烈增加。涡量沉积导致界面的强烈变形。流动在材料界面周围形成一个湍流混合区。在过去的几十年里,人们对非反应性SBI进行了深入的研究。1983年,Haas和Sturtevant研究了大气中轻气泡或重气泡的SBI,从而建立了一种全新的正则流结构。冲击冲击波引起的温度和压力增加,开启了无需直接接触即可点燃反应气体混合物的途径。将履行机构扩展为反应性履行机构(RSBI),Haehn等人。2012年研究了一种氢和氧的化学计量混合物,被惰性气体氙气稀释后,在冲击波撞击下点燃。结果表明,随着激波马赫数的增加,反应波类型发生变化,从爆燃到爆轰。Haehn等人的复杂实验装置。意味着很大的不确定性。Damköhler数字的不确定度约为50%。在所研究的最小马赫数下,30%的实验没有着火。显然,如果没有补充的数值模拟,这种理解只能是不完整的。当前项目的目标有两个。基于二维RSBI直接数值模拟的前期工作,我们首先对初始数据和燃烧模型的不确定性进行了系统的研究。我们确定感兴趣的量,如混合速率、拟合度、中间反应产物质量分数,并用非侵入性不确定性传播方法预测初始数据变化的影响。我们评估了不同反应机理的预测能力。初始数据不确定性量化还允许估计在三维再现名义实验设置方面的缺陷的影响,这是第二个目标,旨在首次定量地对Haehn等人的实验进行数值预测。三维研究的目的是确定主要的混合机制、反应和气泡变形参数与简化的二维情况有何不同,以及这些差异可能与实验的不确定性有关。在可能的第二个资金期,我们将进一步增加工程应用的复杂性,例如通过考虑反应气泡团的相互作用。
英文摘要
The interaction of a shock wave with a bubble of reactive gas mixture triggers Richtmyer-Meshkov instabilities and chemical reactions. With inert shock-bubble interactions (SBI) vorticity is deposited near the interface by baroclinic production. The incident shock wave is transmitted and reflected at the interface. For a heavy-gas bubble immersed in light gas the transmitted shock focuses at the downstream pole of the bubble resulting in a strong increase of pressure and temperature. Vorticity deposition leads to a strong deformation of the interface. The flow develops a turbulent mixing zone around the material interface. Non-reacting SBI was intensely studied over the last decades. In 1983 Haas and Sturtevant investigated SBI for light- or heavy-gas bubbles in air, thus establishing an entire new class of canonical flow configurations. Temperature and pressure increase due to the impacting shock wave opens the way of igniting a reactive-gas mixture without direct contact. Ex-tending SBI to reactive SBI (RSBI), Haehn et al. investigated in 2012 a stoichiometric mixture of hydrogen and oxygen, diluted by the inert gas xenon, ignited upon shock-wave impact. It was found that with increasing shock Mach numbers different reaction-wave types develop, from deflagration to detonation. The complex experimental setup of Haehn et al. implies significant uncertainties. The uncertainty in Damköhler number is around 50%. At the smallest investigated Mach number 30% of all experiments did not ignite. It is evident that without complementary numerical simulations the understanding can only be incomplete. The objective of the current project is twofold. Based on pre-liminary work on two-dimensional RSBI direct numerical simulations, we first target systematic in-vestigation of initial-data and combustion-model uncertainties. We identify quantities of interest, such as the mixing rate, enstrophy, intermediate reaction product mass fractions, and predict by non-intrusive uncertainty-propagation methods the effect of initial-data variations. We assess the prediction capability of different reaction mechanisms. The initial-data uncertainty quantification also allows to estimate impact of imperfections in reproducing the nominal experimental setup in three dimensions which are the second objective, aiming at the first quantitative numerical prediction of the experiments of Haehn et al. The objective of the three-dimensional investigation is to identify how dominant mixing mechanisms, reaction, and bubble deformation parameters differ from the ide-alized two-dimensional case, and how these differences may be related to experimental uncertain-ties. In a possible second funding period we will further increase the complexity towards engineering applications, e.g. by considering the interaction of reacting bubble clusters.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1145/3458817.3476165
发表时间: 2021-11
期刊: SC21: International Conference for High Performance Computing, Networking, Storage and Analysis
影响因子: --
作者: [William S. Moses;Valentin Churavy;Ludger Paehler;J. Hückelheim;S. Narayanan;Michel Schanen;J. Doerfert]
通讯作者: William S. Moses;Valentin Churavy;Ludger Paehler;J. Hückelheim;S. Narayanan;Michel Schanen;J. Doerfert
DOI: 10.1109/sc41404.2022.00065
发表时间: 2022-11
期刊: SC22: International Conference for High Performance Computing, Networking, Storage and Analysis
影响因子: --
作者: [William S. Moses;S. Narayanan;Ludger Paehler;Valentin Churavy;Michel Schanen;J. Hückelheim;J. Doerfert;P. Hovland]
通讯作者: William S. Moses;S. Narayanan;Ludger Paehler;Valentin Churavy;Michel Schanen;J. Hückelheim;J. Doerfert;P. Hovland
DOI: 10.1016/j.jcp.2019.07.049
发表时间: 2019-04
期刊: ArXiv
影响因子: --
作者: [Stephan Thaler;Ludger Paehler;N. Adams]
通讯作者: Stephan Thaler;Ludger Paehler;N. Adams
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