Unsupervised modelling of a transitional boundary layer
DOI10.1017/jfm.2021.829zbMath1495.76055OpenAlexW3206926839MaRDI QIDQ5158482
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Publication date: 25 October 2021
Published in: Journal of Fluid Mechanics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/jfm.2021.829
clustering algorithmmachine learningtransition to turbulencemultidimensional scalingdata-driven approachlow-dimensional modeldirect numerical simulation datasetincompressible boundary layer flow
Learning and adaptive systems in artificial intelligence (68T05) Direct numerical and large eddy simulation of turbulence (76F65) Turbulent boundary layers (76F40) Basic methods in fluid mechanics (76M99) Transition to turbulence (76F06)
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- Estimating the Number of Clusters in a Data Set Via the Gap Statistic
- Intelligent choice of the number of clusters in \(K\)-means clustering: an experimental study with different cluster spreads
- Stability and transition in shear flows
- Detection algorithm for turbulent interfaces and large-scale structures in intermittent flows
- Disturbance growth in boundary layers subjected to free-stream turbulence
- On the breakdown of boundary layer streaks
- Simulations of bypass transition
- A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems
- Boundary-Layer Theory
- Model Reduction for Flow Analysis and Control
- Machine Learning for Fluid Mechanics
- Cluster-based reduced-order modelling of a mixing layer
- Finding Groups in Data
- Theoretical aspects of transition and turbulence in boundary layers
- Least squares quantization in PCM
- Simulation of boundary layer transition induced by periodically passing wakes
- Data-enabled prediction of streak breakdown in pressure-gradient boundary layers
- Properties of the turbulent/non-turbulent interface in boundary layers
- On the effect of free-stream turbulence on boundary-layer transition
- Cluster-based network model
- Metric for attractor overlap
- Cluster-based feedback control of turbulent post-stall separated flows
- On streak breakdown in bypass transition
- Mode interaction and the bypass route to transition
- An Introduction to Statistical Learning
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