Image de couverture de livre

Effects of appendages on the turbulence and flow noise of a submarine model using high-order scheme

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jiang, Peng, Liao, Shijun, Liu, Ling, Xie, Bin
Format:	Preprint
Publié:	2025
Sujets:	Fluid Dynamics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Large-eddy simulation of hydrodynamic noise from turbulent flows past an axisymmetric hull using high-order schemes
par: Jiang, Peng, et autres
Publié: (2024)

Experimental investigation of wall-pressure fluctuations on a fully appended submarine model at high Reynolds numbers
par: Jiang, Peng, et autres
Publié: (2026)

Experimental study on the wall-pressure fluctuations of flow over an axisymmetric hull
par: Jiang, Peng, et autres
Publié: (2025)

Physical significance of artificial numerical noise in direct numerical simulation of turbulence
par: Liao, Shijun, et autres
Publié: (2025)

Clean numerical simulation (CNS) of three-dimensional turbulent Kolmogorov flow
par: Qin, Shijie, et autres
Publié: (2025)

Ultra-chaotic property of Navier-Stokes turbulence
par: Qin, Shijie, et autres
Publié: (2025)

Laminarising turbulent pipe flow by linear and nonlinear optimisation
par: Chu, Shijun, et autres
Publié: (2024)

The minimal seed for transition to convective turbulence in heated pipe flow
par: Chu, Shijun, et autres
Publié: (2024)

A paradox of the Navier-Stokes turbulence
par: Qin, Shijie, et autres
Publié: (2025)

Optimal body force for heat transfer in turbulent vertical heated pipe flow
par: Chu, Shijun, et autres
Publié: (2025)

Noise-expansion cascade: an origin of randomness of turbulence
par: Liao, Shijun, et autres
Publié: (2024)

Utility of High-Order Scheme for Unsteady Flow Simulations: Comparison with Second-Order Tool
par: Jiang, Peng, et autres
Publié: (2024)

Train yourself: self-compressing reduced-order models of turbulent flows
par: Addison-Smith, Ian, et autres
Publié: (2025)

Modelling the transition from shear-driven turbulence to convective turbulence in a vertical heated pipe
par: Chu, Shijun, et autres
Publié: (2025)

Resolvent-based modeling of turbulent jet noise
par: Pickering, Ethan, et autres
Publié: (2021)

A toy model of turbulent shear flow using vortons
par: Ruffenach, Wandrille, et autres
Publié: (2025)

Towards extreme event prediction of turbulent flows with quantized local reduced-order models
par: Colanera, Antonio, et autres
Publié: (2025)

High-order thread-safe lattice Boltzmann model for HPC turbulent flow simulations
par: Montessori, Andrea, et autres
Publié: (2024)

Development of low-dissipative projection method framework integrating various high-order time integration schemes using OpenFOAM
par: Guo, Hao, et autres
Publié: (2023)

A theoretical model for oceanic submesoscales under next-order effects of strain and turbulence
par: Peng, Shirui, et autres
Publié: (2026)

Convergent series of Stokes wave of arbitrary height in deep water via machine learning
par: Lin, Chong, et autres
Publié: (2025)

Reply to the comments of McMullen et al. (arXiv:2510.04828)
par: Liao, Shijun, et autres
Publié: (2025)

Prediction of turbulent channel flow using Fourier neural operator-based machine-learning strategy
par: Wang, Yunpeng, et autres
Publié: (2024)

A Chimera method for high-fidelity simulation of turbulent flows
par: Di Mascio, Andrea, et autres
Publié: (2025)

Bubble coalescence dynamics in a high-Reynolds number decaying turbulent flow
par: Kumar, Vivek, et autres
Publié: (2025)

Performance evaluation of high-order compact and second-order gas-kinetic schemes in compressible flow simulations
par: Yang, Yaqing, et autres
Publié: (2025)

Quantum machine learning for efficient reduced order modelling of turbulent flows
par: Li, Han, et autres
Publié: (2025)

Linear stability and spectral modal decomposition of three-dimensional turbulent wake flow of a generic high-speed train
par: Li, Xiao-Bai, et autres
Publié: (2024)

Formulations for scalar boundedness in simulations of turbulent compressible multi-component flows using high-order finite-difference methods
par: Wang, Ye, et autres
Publié: (2026)

Interpretable data-driven turbulence modeling for separated flows using symbolic regression with unit constraints
par: Zhang, Boqian, et autres
Publié: (2024)

Reinforcement-learning-based control of turbulent channel flows at high Reynolds numbers
par: Zhou, Zisong, et autres
Publié: (2025)

Reduced-order modeling of a viscoelastic turbulent jet with hybrid machine learning models
par: Amor, Christian, et autres
Publié: (2026)

Multiscale circulation in wall-parallel planes of turbulent channel flows
par: Duan, Peng-Yu, et autres
Publié: (2025)

Improved third-order scheme in pseudopotential lattice Boltzmann model for multiphase flows
par: Huang, Rongzong, et autres
Publié: (2026)

Data-driven turbulence modelling for magnetohydrodynamic flows in annular pipes
par: Santamaria, Alejandro Montoya, et autres
Publié: (2025)

Recent developments and research needs in turbulence modeling of hypersonic flows
par: Raje, Pratikkumar, et autres
Publié: (2024)

Data-driven oscillator model for multi-frequency turbulent flows
par: Kim, Youngjae, et autres
Publié: (2026)

The wind-shade roughness model for turbulent wall-bounded flows
par: Meneveau, Charles, et autres
Publié: (2024)

Physics informed data-driven near-wall modelling for lattice Boltzmann simulation of high Reynolds number turbulent flows
par: Xue, Xiao, et autres
Publié: (2024)

Turbulence suppression in plane Couette flow using reduced-order models
par: Maia, Igor A., et autres
Publié: (2024)