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相关论文: Aerodynamic Prediction of High-Lift Configuration …

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Aerodynamic simulations were carried out in the study presented in this paper focusing on the stall performance of the High-Lift Common Research Model obtained from the fourth AIAA High-Lift Prediction Workshop. Various turbulence models of…

流体动力学 · 物理学 2024-05-02 Shaoguang Zhang , Haoran Li , Yufei Zhang

Most of the turbulence models in practice are based on the assumption of a linear relation between Reynolds stresses and mean flow strain rates which generally provides a good approximation in case of attached and fully turbulent flows. A…

流体动力学 · 物理学 2021-03-01 Alok Mishra , Gaurav Kumar , Ashoke De

Traditional Reynolds-averaged Navier-Stokes (RANS) equations often struggle to predict separated flows accurately. Recent studies have employed data-driven methods to enhance predictions by modifying baseline equations, such as field…

流体动力学 · 物理学 2025-09-03 Shaoguang Zhang , Chenyu Wu , Yufei Zhang

Aerodynamic prediction of glaze ice accretion on airfoils and wing is studied using the Reynolds-averaged Navier-Stokes method. Two separation fixed turbulence models are developed considering the nonequilibrium characteristics of…

流体动力学 · 物理学 2021-05-27 Haoran Li , Yufei Zhang , Haixin Chen

We investigate the dynamic response of flexible aircraft in low-altitude atmospheric turbulence. To this end, three turbulence models of increasing fidelity, namely, the one-dimensional von K{\'a}rm{\'a}n model, the two-dimensional Kaimal…

流体动力学 · 物理学 2020-03-27 Georgios Deskos , Alfonso del Carre , Rafael Palacios

Despite being one of the oldest and most widely-used turbulence models in engineering CFD, the k-{\omega} model has not been fully understood theoretically because of its high non-linearity and complex model parameter setting. Here, a…

流体动力学 · 物理学 2023-11-10 Fan Tang , Wei-Tao Bi , Zhen-Su She

Bio-inspired oscillatory foil propulsion has the ability to traverse various propulsive modes by dynamically changing the foil's heave and pitch kinematics. This research characterizes the propulsion properties and wake dynamics of a…

流体动力学 · 物理学 2020-09-24 Mukul Dave , Arianne Spaulding , Jennifer A. Franck

The present work studied various models for predicting turbulence in the problem of injecting a fluid microjet into the boundary layer of a turbulent flow. For this purpose, the one-equation Spalart-Allmaras (SA), two-equation k-$\epsilon$…

In order to achieve a virtual certification process and robust designs for turbomachinery, the uncertainty bounds for Computational Fluid Dynamics have to be known. The formulation of turbulence closure models implies a major source of the…

计算工程、金融与科学 · 计算机科学 2023-04-03 Marcel Matha , Karsten Kucharczyk , Christian Morsbach

This paper presents a novel modeling approach for unsteady aircraft airflow, leveraging the Lorenz attractor framework. The proposed model is based on the force distribution exerted by a lift-generating wing on the surrounding fluid. It…

流体动力学 · 物理学 2026-03-09 Marcel Menner , Eugene Lavretsky

This study investigates the aerodynamic performance of the symmetric NACA 0018 airfoil under harmonic pitching motions at low Reynolds numbers, a regime characterized by the presence of laminar separation bubbles and their impact on…

流体动力学 · 物理学 2025-04-18 Krzysztof Rogowski , Maciej Śledziewski , Jan Michna

In this paper, a turbulence model based on deep neural network is developed for turbulent flow around airfoil at high Reynolds numbers. According to the data got from the Spalart-Allmaras (SA) turbulence model, we build a neural network…

流体动力学 · 物理学 2021-11-29 Xuxiang Sun , Wenbo Cao , Yilang Liu , Linyang Zhu , Weiwei Zhang

A modeling paradigm is developed to augment predictive models of turbulence by effectively utilizing limited data generated from physical experiments. The key components of our approach involve inverse modeling to infer the spatial…

计算工程、金融与科学 · 计算机科学 2016-11-08 Anand Pratap Singh , Shivaji Medida , Karthik Duraisamy

The development of turbulent mixing layers can be altered by the application of anisotropic strain rates, potentially arising from radial motion in convergent geometry or movement through non-uniform geometry. Previous closure models and…

流体动力学 · 物理学 2026-05-01 Bradley Pascoe , Michael Groom , Ben Thornber

The passive flight of a thin wing or plate is an archetypal problem in flow-structure interactions at intermediate Reynolds numbers. This seemingly simple aerodynamic system displays an impressive variety of steady and unsteady motions that…

流体动力学 · 物理学 2025-07-09 Olivia Pomerenk , Leif Ristroph

Many traditional methods for wind turbine design and analysis assume quasi-steady aerodynamics, but atmospheric flows are inherently unsteady and modern turbine blades are susceptible to aeroelastic deformations. This study therefore…

流体动力学 · 物理学 2024-06-18 Nathaniel J. Wei , Omkar B. Shende

Due to the thick boundary layers in hypersonic flows, the state of the boundary layer significantly influences the whole flow field as well as surface heat loads. Hence, for engineering applications the efficient numerical prediction of…

流体动力学 · 物理学 2016-11-04 Sarah Frauholz , Birgit U. Reinartz , Siegfried Müller , Marek Behr

The tendency of a jet to stay attached to a flat or convex surface is called the Coand\u{a} effect and has many potential technical applications. The aim of this thesis is to assess how well Computational Fluid Dynamics can capture it. A…

计算工程、金融与科学 · 计算机科学 2021-10-06 Florent Mauret

Accurate simulation of turbulent flow with separation is an important but challenging problem. In this paper, a data-driven Reynolds-averaged turbulence modeling approach, field inversion and machine learning is implemented to modify the…

流体动力学 · 物理学 2022-06-02 Chongyang Yan , Haoran Li , Yufei Zhang , Haixin Chen

Modelling hydrodynamic lubrication is crucial in the design of engineering components as well as for a fundamental understanding of friction mechanisms. The cornerstone of thin-film flow modelling is the Reynolds equation -- a…

流体动力学 · 物理学 2022-03-08 Hannes Holey , Andrea Codrignani , Peter Gumbsch , Lars Pastewka
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