Copertina

Bayesian Optimization of the GEKO Turbulence Model for Predicting Flow Separation Over a Smooth Surface

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kalia, Nikhila, McConkey, Ryley, Yee, Eugene, Lien, Fue-Sang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Fluid Dynamics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

turbo-RANS: Straightforward and Efficient Bayesian Optimization of Turbulence Model Coefficients
di: McConkey, Ryley, et al.
Pubblicazione: (2023)

Kolmogorov-Arnold Networks for Turbulence Anisotropy Mapping
di: Kalia, Nikhila, et al.
Pubblicazione: (2025)

Realizability-Informed Machine Learning for Turbulence Anisotropy Mappings
di: McConkey, Ryley, et al.
Pubblicazione: (2024)

Implicit Augmentation from Distributional Symmetry in Turbulence Super-Resolution
di: Balla, Julia, et al.
Pubblicazione: (2025)

Turbulence teaches equivariance to neural networks
di: McConkey, Ryley, et al.
Pubblicazione: (2026)

A unified framework for prediction of vortex-induced vibration based on the nonlinear data-driven identification of general wake oscillator modeling
di: Cheng, Zhi, et al.
Pubblicazione: (2024)

The Closure Challenge: a benchmark task for machine learning in turbulence modelling
di: McConkey, Ryley, et al.
Pubblicazione: (2026)

Data-driven Augmentation of a Turbulence Model in Three-dimensional Separated Flows
di: Wu, Chenyu, et al.
Pubblicazione: (2025)

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling
di: Jaroslawski, Tomek, et al.
Pubblicazione: (2025)

Data-driven Turbulence Modeling for Separated Flows Considering Non-Local Effect
di: Wu, Chenyu, et al.
Pubblicazione: (2025)

Scaling and Predictability in Surface Quasi-Geostrophic Turbulence
di: Valadão, V. J., et al.
Pubblicazione: (2025)

Flow Topology Optimization at High Reynolds Numbers Based on Modified Turbulence Models
di: Wu, Chenyu, et al.
Pubblicazione: (2022)

Optimized Flow Control based on Automatic Differentiation in Compressible Turbulent Channel Flows
di: Wang, Wenkang, et al.
Pubblicazione: (2024)

On the Low-Frequency Dynamics of Turbulent Separation Bubbles
di: Cura, C., et al.
Pubblicazione: (2023)

Confirming Wave Turbulence Predictions in Rotating Turbulence
di: Shaltiel, Omri, et al.
Pubblicazione: (2025)

Wave-Particle Turbulence Simulation of Spatially Developing Round Jets: Turbulent Flow Modeling and Method Validation
di: Yang, Xiaojian, et al.
Pubblicazione: (2025)

Characterizing Turbulence at a Forest Edge: Comparing Sub-filter Scale Turbulence Models in Simulations of Flow over a Canopy
di: Perez, Dorianis M., et al.
Pubblicazione: (2024)

Adaptive Dissipation in the Smagorinsky Model for Turbulence in Boundary-Driven Flows
di: Santos, Rômulo Damasclin Chaves dos, et al.
Pubblicazione: (2024)

Turbulent Pipe Flow of Thixotropic Fluids
di: Yousuf, Noman, et al.
Pubblicazione: (2025)

Turbulent Accelerating Combusting Flows with a Methane-Vitiated Air Flamelet Model
di: Walsh, Sylvain L., et al.
Pubblicazione: (2024)

Standing-Wave Dynamics in Low-Frequency Breathing of a Turbulent Separation Bubble
di: Fuchs, Lukas M., et al.
Pubblicazione: (2025)

Large Eddy Simulations of Flow over Additively Manufactured Surfaces: Impact of Roughness and Skewness on Turbulent Heat Transfer
di: Garg, Himani, et al.
Pubblicazione: (2024)

A Divide-and-Conquer Machine Learning Approach for Modelling Turbulent Flows
di: Man, Anthony, et al.
Pubblicazione: (2024)

On Deep-Learning-Based Closures for Algebraic Surrogate Models of Turbulent Flows
di: Eiximeno, Benet, et al.
Pubblicazione: (2024)

A Discrete Adjoint Gas-Kinetic Scheme for Aerodynamic Shape Optimization in Turbulent Continuum Flows
di: Wu, Hangkong, et al.
Pubblicazione: (2026)

Acceleration is the Key to Drag Reduction in Turbulent Flow
di: Ding, Liuyang, et al.
Pubblicazione: (2023)

A Unified Spectrum for Turbulence in Microfluidic Flow
di: Kuan, Chit Yau, et al.
Pubblicazione: (2025)

Dynamics of a Data-Driven Low-Dimensional Model of Turbulent Minimal Pipe Flow
di: Constante-Amores, C. Ricardo, et al.
Pubblicazione: (2024)

Flow-Induced Vibration of Flexible Hydrofoil Within Cavitating Turbulent Flow
di: Cheng, Zhi, et al.
Pubblicazione: (2024)

Mixing Fronts in Smooth Chaotic Flows
di: Joris, Heyman, et al.
Pubblicazione: (2025)

Hybrid Reduced-Order Models for Turbulent Flows Using Recurrent Neural Architectures
di: Imtiaz, Haroon, et al.
Pubblicazione: (2025)

Performance Evaluation of RANS-Based Turbulence Models in Predicting Turbulent Non-Premixed Swirling Combustion within a Realistic Can Combustor
di: Kumar, Aishvarya, et al.
Pubblicazione: (2026)

The Structure of Turbulence in Pulsatile Flow over Urban Canopies
di: Li, Weiyi, et al.
Pubblicazione: (2023)

Turbulence-Resolving Integral Simulations for Wall-Bounded Flows
di: Ragan, Tanner, et al.
Pubblicazione: (2025)

Effect of Expansion Geometry on Turbulence in Axisymmetric Pipe Flows
di: Jose, Jibu Tom, et al.
Pubblicazione: (2025)

Generalized Scaling of the Turbulence Structure in Wall-Bounded Flows
di: Lee, T. -W., et al.
Pubblicazione: (2024)

Emergence of Purely Elasto-Plastic Turbulence in Shear Flows
di: Abdullah, Muhammad, et al.
Pubblicazione: (2026)

Concerning the Use of Turbulent Flow Data for Machine Learning
di: Sardar, Mohammed, et al.
Pubblicazione: (2024)

Multi-Particle Dispersion in Rotating-Stratified Turbulent Flows
di: Gallon, Sebastian, et al.
Pubblicazione: (2024)

Assessment of a Multiphase Formulation of One-Dimensional Turbulence using Direct Numerical Simulation of a Decaying Turbulent Interfacial Flow
di: Movaghar, A., et al.
Pubblicazione: (2024)