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Spatiotemporal dynamics of a buoyancy-driven turbulent fire
Takumi Tokami1, Takayoshi Hachijo1, Takaya Miyano2
1Department of Mechanical Engineering, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo 125-8585, Japan.
Physical Review. E
|May 20, 2020
Summary
This study reveals how turbulent fire structures transition from order to disorder. Gravitational forces significantly influence these patterns, with entropy flow impacting predictability.
Area of Science:
- Fluid dynamics
- Combustion science
- Complex systems analysis
Background:
- Buoyancy-driven turbulent fires exhibit complex spatiotemporal dynamics.
- Understanding fire structure evolution and predictability is crucial for safety and modeling.
- Visibility graphs offer a method to analyze complex network structures in turbulent flows.
Purpose of the Study:
- To numerically investigate the spatiotemporal dynamics of buoyancy-driven turbulent fires.
- To analyze the transition from ordered to disordered structures using spatial horizontal visibility graphs.
- To determine the factors influencing structure formation and the predictability of flow velocity fluctuations.
Main Methods:
- Numerical simulation of buoyancy-driven turbulent fire.
- Analysis using spatial horizontal visibility graphs to quantify order and disorder.
- Examination of the gravitational (baroclinic torque) term's influence on structure formation.
- Entropy flow analysis to understand energy transfer between temperature and velocity fluctuations.
- Application of reservoir computing to assess predictability of flow velocity fluctuations.
Main Results:
- A significant transition from order to disorder in fire structures was observed via mean degree in visibility graphs.
- The gravitational term critically impacts order in the near field and disorder in the far field.
- Predominant entropy flow from temperature to flow velocity fluctuations occurs at the interface of combustion products and ambient air.
- Transfer entropy effectively measures the predictability of near-field flow velocity fluctuations.
Conclusions:
- The study elucidates the mechanisms governing turbulent fire structure dynamics and predictability.
- Gravitational effects and entropy flow are key factors in fire behavior.
- Reservoir computing, informed by transfer entropy, shows promise for predicting turbulent fire dynamics.
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