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Wall modelling in large-eddy simulation (LES) is necessary to overcome the prohibitive near-wall resolution requirements in high-Reynolds-number turbulent flows. Most existing wall models rely on assumptions about the state of the boundary…

流体动力学 · 物理学 2021-10-26 H. Jane Bae , Adrián Lozano-Durán , Sanjeeb T. Bose , Parviz Moin

This study presents the results of a series of simulation experiments that evaluate and compare four different manifold alignment methods under the influence of noise. The data was created by simulating the dynamics of two slightly…

机器学习 · 计算机科学 2018-11-26 Fayeem Aziz , Aaron S. W. Wong , James S. Welsh , Stephan K. Chalup

In the last decade, progresses in additive manufacturing (AM) have paved the way for optimized heat exchangers, whose disruptive design will depend on predictive numerical simulations. Typical AM rough surfaces show limited resemblance to…

流体动力学 · 物理学 2023-05-10 Himani Garg , Lei Wang , Guillaume Sahut , Christer Fureby

The goal of this paper is to assess the impact of noise in 3D camera-captured data by modeling the noise of the imaging process and applying it on synthetic training data. We compiled a dataset of specifically constructed scenes to obtain a…

计算机视觉与模式识别 · 计算机科学 2024-02-27 Katarína Osvaldová , Lukáš Gajdošech , Viktor Kocur , Martin Madaras

We report direct numerical simulations of a pair of wings in horizontal tandem configuration, to analyze the effect of their aspect ratio on the flow and the aerodynamic performance of the system. The wings are immersed in a uniform…

流体动力学 · 物理学 2022-01-24 Rafael Jurado , Gonzalo Arranz , Oscar Flores , Manuel García-Villalba

We present a general-purpose wall model for large-eddy simulation. The model builds on the building-block flow principle, leveraging essential physics from simple flows to train a generalizable model applicable across complex geometries and…

流体动力学 · 物理学 2025-11-21 Yuenong Ling , Imran Hayat , Konrad Goc , Adrian Lozano-Duran

Landing-gear noise is an increasing issue for transport aircraft. A key determinant of the phenomenon is the surface pressure field. Previous studies have described this field when the oncoming flow is perfectly aligned with the gear. In…

流体动力学 · 物理学 2020-11-12 A Gatto , W R Graham

We investigate eddy-viscosity distributions in pressure-driven wall turbulence for three canonical configurations: plane closed-channel flow, open-channel flow with a free-slip surface, and pipe flow. Using direct numerical simulation (DNS)…

流体动力学 · 物理学 2026-04-13 Ben-Rui Xu , Ao Xu

We present a comprehensive computational model to simulate the coupled dynamics of aqueous humor flow and heat transfer in the human eye. To manage the complexity of the model, we make significant efforts in meshing and efficient solution…

偏微分方程分析 · 数学 2026-03-25 Thomas Saigre , Vincent Chabannes , Christophe Prud'Homme , Marcela Szopos

A new modeling approach for large-eddy simulation (LES) is obtained by combining a `regularization principle' with an explicit filter and its inversion. This regularization approach allows a systematic derivation of the implied…

混沌动力学 · 物理学 2009-11-07 Bernard J. Geurts , Darryl D. Holm

Noise prediction requires the resolution of relevant acoustic sources on all scales of a turbulent flow. High-resolution direct numerical and large-eddy simulation would be ideal but both are usually too costly despite developments in high…

流体动力学 · 物理学 2020-10-22 Sparsh Sharma , Marten Klein , Heiko Schmidt , Ennes Sarradj

We present a novel Bayesian method, referred to as Blobby3D, to infer gas kinematics that mitigates the effects of beam smearing for observations using Integral Field Spectroscopy (IFS). The method is robust for regularly rotating galaxies…

Weak supervision (WS) is a rich set of techniques that produce pseudolabels by aggregating easily obtained but potentially noisy label estimates from a variety of sources. WS is theoretically well understood for binary classification, where…

机器学习 · 计算机科学 2022-11-28 Harit Vishwakarma , Nicholas Roberts , Frederic Sala

This study focuses on the numerical simulation of high Reynolds number separated flows and proposes a data-driven approach to improve the predictive capability of the SA turbulence model. First, data assimilation was performed on two…

流体动力学 · 物理学 2025-03-13 Xuxiang Sun , Xianglin Shan , Yilang Liu , Weiwei Zhang

We present an experimental study of the internal mechanical vibration modes of a mirror. We determine the frequency repartition of acoustic resonances via a spectral analysis of the Brownian motion of the mirror, and the spatial profile of…

量子物理 · 物理学 2009-11-10 T. Briant , P. F. Cohadon , A. Heidmann , M. Pinard

A novel variant of Improved Delayed Detached-Eddy Simulation based on a differential Reynolds-stress background model is presented. The approach aims to combine the advantages of anisotropy-resolving Reynolds-stress closures in the modelled…

流体动力学 · 物理学 2023-08-25 Marius Herr , Rolf Radespiel , Axel Probst

Acoustic mechanics of air-reed instruments is investigated numerically with compressible Large-eddy simulation (LES). Taking a two dimensional air-reed instrument model, we have succeeded in reproducing sound oscillations excited in the…

In this review, the methodology of large eddy simulations (LES) is introduced and applications in astrophysics are discussed. As theoretical framework, the scale decomposition of the dynamical equations for compressible neutral fluids by…

星系天体物理 · 物理学 2025-09-09 Wolfram Schmidt-Brückner

A preliminary numerical study on the aerodynamics of a kite wing for high altitude wind power generators is proposed. Tethered kites are a key element of an innovative wind energy technology, which aims to capture energy from the wind at…

流体动力学 · 物理学 2013-06-19 Gianmauro Maneia , Caterina Tribuzi , Daniela Tordella , Michele Iovieno

A previously developed modeling procedure for large eddy simulations (LESs) is extended to allow physical space implementations for inhomogeneous flows. The method is inspired by the well-established theoretical analyses and numerical…

流体动力学 · 物理学 2022-10-28 Guangrui Sun , J. Andrzej Domaradzki