Interrelation Between Dilatation Rate and Displacement Speed in Premixed Turbulent Flames [0.03%]
预混湍流火焰中膨胀率与传播速度间的关联性研究
Vishnu Mohan,Ruslan Khamedov,Hong G Im et al.
Vishnu Mohan et al.
The interrelation between displacement speed and dilatation rate in premixed turbulent flames has been analysed using three-dimensional Direct Numerical Simulation (DNS) data. The study focuses on statistically planar turbulent premixed fla...
Multi-fidelity Bayesian Optimisation of Wind Farm Wake Steering using Wake Models and Large Eddy Simulations [0.03%]
基于尾流模型和大涡模拟的风电场尾流导向多保真贝叶斯优化
Andrew Mole,Sylvain Laizet
Andrew Mole
Improving the power output from wind farms is vital in transitioning to renewable electricity generation. However, in wind farms, wind turbines often operate in the wake of other turbines, leading to a reduction in the wind speed and the re...
Deep Reinforcement Learning for the Management of the Wall Regeneration Cycle in Wall-Bounded Turbulent Flows [0.03%]
基于深度强化学习的壁湍流中再生周期管理研究
Giorgio Maria Cavallazzi,Luca Guastoni,Ricardo Vinuesa et al.
Giorgio Maria Cavallazzi et al.
The wall cycle in wall-bounded turbulent flows is a complex turbulence regeneration mechanism that remains not fully understood. This study explores the potential of deep reinforcement learning (DRL) for managing the wall regeneration cycle...
Extrapolation Performance of Convolutional Neural Network-Based Combustion Models for Large-Eddy Simulation: Influence of Reynolds Number, Filter Kernel and Filter Size [0.03%]
基于卷积神经网络的燃烧模型在大涡模拟中的外推性能：雷诺数、滤波核和滤波尺度的影响分析
Geveen Arumapperuma,Nicola Sorace,Matthew Jansen et al.
Geveen Arumapperuma et al.
The extrapolation performance of Convolutional Neural Network (CNN)-based models for Large-Eddy Simulations (LES) has been investigated in the context of turbulent premixed combustion. The study utilises a series of Direct Numerical Simulat...
Reinforcement Learning of Chaotic Systems Control in Partially Observable Environments [0.03%]
部分可观测环境下的混沌系统控制的强化学习研究
Max Weissenbacher,Anastasia Borovykh,Georgios Rigas
Max Weissenbacher
Control of chaotic systems has far-reaching implications in engineering, including fluid-based energy and transport systems, among many other fields. In real-world applications, control algorithms typically operate only with partial informa...
Multi-agent Reinforcement Learning for the Control of Three-Dimensional Rayleigh-Bénard Convection [0.03%]
用于雷莱-贝纳多重拂控制的多智能体强化学习
Joel Vasanth,Jean Rabault,Francisco Alcántara-Ávila et al.
Joel Vasanth et al.
Deep reinforcement learning (DRL) has found application in numerous use-cases pertaining to flow control. Multi-agent RL (MARL), a variant of DRL, has shown to be more effective than single-agent RL in controlling flows exhibiting locality ...
On the Interrelation of the Fractal Description and the Ratio of the 3D and 2D Flame Wrinkling for Turbulent Premixed Flames [0.03%]
关于分形描述与湍流预混火焰的三维和二维皱折比率之间相互关系的研究
Nilanjan Chakraborty,Markus Klein
Nilanjan Chakraborty
A scaling relation has been derived to link the fractal dimension of a flame surface with the ratio of the normalised 3D flame surface area to its 2D counterpart. This derivation assumes an isotropic distribution of angles between the measu...
Active Flow Control for Drag Reduction Through Multi-agent Reinforcement Learning on a Turbulent Cylinder at [Formula: see text] [0.03%]
基于湍流圆柱的多智能体强化学习的主动流动控制拖拽力减少（Re=1000）
Pol Suárez,Francisco Alcántara-Ávila,Arnau Miró et al.
Pol Suárez et al.
This study presents novel drag reduction active-flow-control (AFC) strategies for a three-dimensional cylinder immersed in a flow at a Reynolds number based on freestream velocity and cylinder diameter of R e D = 3900 . The cylinder in thi...
Distributions of Wall Heat Flux and Wall Shear Stress and their Interrelation During Head-on Quenching of Premixed Flames within Turbulent Boundary Layers [0.03%]
火焰正面淬灭时的壁面热流和剪应力分布及其相互关系
Vishnu Mohan,Umair Ahmed,Nilanjan Chakraborty
Vishnu Mohan
The statistical behaviours of wall heat flux and wall shear stress and their interdependence during unsteady head-on quenching of statistically planar turbulent premixed flames within turbulent boundary layers due to heat loss through the c...
Effects of Wall Temperature on Scalar and Turbulence Statistics During Premixed Flame-Wall Interaction Within Turbulent Boundary Layers [0.03%]
壁面温度对预混火焰壁面相互作用期间标量和湍流统计的影响研究（在湍流边界层中）
Sanjeev Kr Ghai,Umair Ahmed,Nilanjan Chakraborty
Sanjeev Kr Ghai
Direct numerical simulations (DNS) have been utilised to investigate the impact of different thermal wall boundary conditions on premixed V-flames interacting with walls in a turbulent channel flow configuration. Two boundary conditions are...