后向阶梯燃烧器中喷雾燃烧不稳定性的动态行为和驱动区域

IF 2.4 3区物理与天体物理 Q1 Mathematics

Physical review. E Pub Date : 2024-08-06 DOI:10.1103/physreve.110.024204

Kenta Kato, Hiroyuki Hashiba, Jun Nagao, Hiroshi Gotoda, Yusuke Nabae, Ryoichi Kurose

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引用次数: 0

摘要

我们采用基于动力系统理论、符号动力学、复杂网络和机器学习的分析方法，对后向阶梯燃烧器中喷雾燃烧不稳定性的动态行为和驱动区域进行了数值研究。热释放率场的全局动态行为表现为低维混沌振荡与确定性非周期性周期间动态。喷射燃烧不稳定性是在后台阶边缘的流体动力剪切层不稳定性诱发的大尺度有组织漩涡的形成和分离区域驱动的。该区域与基于声能流的空间网络中的枢纽相当。随机森林中的特征重要性对于阐明喷雾燃烧不稳定性的反馈耦合是有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Dynamic behavior and driving region of spray combustion instability in a backward-facing step combustor

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Dynamic behavior and driving region of spray combustion instability in a backward-facing step combustor

We numerically study the dynamic behavior and driving region of spray combustion instability in a backward-facing step combustor using analytical methodologies based on dynamical systems theory, symbolic dynamics, complex networks, and machine learning. The global dynamic behavior of a heat release rate field represents low-dimensional chaotic oscillations with deterministically aperiodic intercycle dynamics. Spray combustion instability is driven in the formation and separation region of a large-scale organized vortex induced by the hydrodynamic shear layer instability at the edge of the backstep. This region corresponds fairly to that of the hub in an acoustic-energy-flux-based spatial network. The feature importance in a random forest is valid for clarifying the feedback coupling of spray combustion instability.

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来源期刊

Physical review. E 物理-物理：流体与等离子体

CiteScore

4.60

自引率

16.70%

发文量

审稿时长

3.3 months

期刊介绍： Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.