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Two models based on convolutional neural networks are trained to predict the two-dimensional velocity-fluctuation fields at different wall-normal locations in a turbulent open channel flow, using the wall-shear-stress components and the…

流体动力学 · 物理学 2020-06-23 L. Guastoni , A. Güemes , A. Ianiro , S. Discetti , P. Schlatter , H. Azizpour , R. Vinuesa

For dynamical systems that can be modelled as asymptotically stable linear systems forced by Gaussian noise, this paper develops methods to infer or estimate their modes from observations in real time. The modes can be real or complex. For…

机器学习 · 统计学 2019-10-30 Robert S. MacKay

We study experimentally the impulse response of a cylinder wake below the critical Reynolds number of the B\'enard-von K\'arm\'an instability. In this subcritical regime, a localized inhomogeneous region of convective instability exists…

流体动力学 · 物理学 2011-08-30 Catherine Marais , Ramiro Godoy-Diana , Dwight Barkley , José Eduardo Wesfreid

Multirotors flying in close proximity induce aerodynamic wake effects on each other through propeller downwash. Conventional methods have fallen short of providing adequate 3D force-based models that can be incorporated into robust control…

机器人学 · 计算机科学 2024-03-27 H. Smith , A. Shankar , J. Gielis , J. Blumenkamp , A. Prorok

The fluid dynamics video illustrates the interaction of two disks falling in tandem at Reynolds number close to 100. Two fluorescent dyes were used to visualize the wake of each body. We can observe that the trailing body accelerates thanks…

流体动力学 · 物理学 2010-10-14 N. Brosse , S. Cazin , P. Ern

A theory for obtaining waveform for the effective entrainment of a weakly forced oscillator is presented. Phase model analysis is combined with calculus of variation to derive a waveform with which entrainment of an oscillator is achieved…

混沌动力学 · 物理学 2015-05-19 Takahiro Harada , Hisa-Aki Tanaka , Michael J. Hankins , István Z. Kiss

Wind-wave interaction involves wind forcing on wave surface and wave effects on the turbulent wind structures, which essentially influences the wind and wave loading on structures. Existing research on wind-wave interaction modeling ignores…

流体动力学 · 物理学 2022-06-07 Tianqi Ma , Chao Sun

Collective wind farm flow control, where wind turbines are operated in an individually suboptimal strategy to benefit the aggregate farm, has demonstrated potential to reduce wake interactions and increase farm energy production. However,…

流体动力学 · 物理学 2023-03-29 Kirby S. Heck , Hannah M. Johlas , Michael F. Howland

The transition from two-dimensional to three-dimensional flows in a finite circular cylinder driven by an axially oscillating sidewall is explored in detail. The complete symmetry group of this flow, including a spatio-temporal symmetry…

流体动力学 · 物理学 2012-06-12 C. Panades , F. Marques , J. M. Lopez

A novel D-model of wave turbulence is presented which allows to reproduce in a single frame various nonlinear wave phenomena such as intermittency, formation and direction of energy cascades, possible growth of nonlinearity due to direct…

流体动力学 · 物理学 2011-05-11 Elena Kartashova

The wall pressure is of great importance in understanding the forces and structural responses induced by fluid. Recent works have investigated the potential of deep learning techniques in predicting mean pressure coefficients and…

流体动力学 · 物理学 2025-12-09 Junle Liu , Chang Liu , Yanyu Ke , Wenliang Chen , Kihing Shum , Tim K. T. Tse , Gang Hu

Variational autoencoder (VAE) architectures have the potential to develop reduced-order models (ROMs) for chaotic fluid flows. We propose a method for learning compact and near-orthogonal ROMs using a combination of a $\beta$-VAE and a…

In this Letter, we study the motion and wake-patterns of freely rising and falling cylinders in quiescent fluid. We show that the amplitude of oscillation and the overall system-dynamics are intricately linked to two parameters: the…

流体动力学 · 物理学 2017-09-13 Varghese Mathai , Xiaojue Zhu , Chao Sun , Detlef Lohse

Building oscillator based computing systems with emerging nano-device technologies has become a promising solution for unconventional computing tasks like computer vision and pattern recognition. However, simulation and analysis of these…

新兴技术 · 计算机科学 2016-11-15 Yan Fang , Victor V. Yashin , Donald M. Chiarulli , Steven P. Levitan

We investigate the three-dimensional melting dynamics of an initially spherical particle translating in a warmer liquid using sharp-interface simulations that fully resolve both solid and fluid phases with the Stefan condition. A wide…

流体动力学 · 物理学 2025-12-19 Zhong-Han Xue , Jie Zhang

We present experimental observations and numerical simulations of a wrinkling instability that occurs at sufficiently high strain rates in the trembling regime of vesicle dynamics in steady linear flow. Spectral and statistical analysis of…

软凝聚态物质 · 物理学 2014-07-11 Michael Levant , David Abreu , Udo Seifert , Victor Steinberg

In this study, we investigate the flow around a canonical blunt body, specifically a D-shaped body of width $D$, in a closed water channel. Our goal is to explore near-wake flow modifications when a series of rigid and flexible plates…

The discrete wavelet packet transform (DWPT) and discrete wavelet transform (DWT) are used to extract and study the dynamics of coherent structures in a turbulent rotating fluid. Three-dimensional (3D) turbulence is generated by strong…

流体动力学 · 物理学 2009-11-10 Jori E. Ruppert-Felsot , Olivier Praud , Eran Sharon , Harry L. Swinney

The interaction between planar shock waves and droplets, involved the evolution of high transient unsteady wave structures and the induced cavitation process, occurs widely in nature and industry. In this paper, a combination of theoretical…

流体动力学 · 物理学 2023-03-21 Sheng Xu , Wenqi Fan , Wangxia Wu , Wei Wang , Bing Wang

The present work investigates the fluid-structure interaction (FSI) of a flexible cylindrical cantilever in a tandem configuration. A fully coupled fluid-structure solver based on the three-dimensional incompressible Navier-Stokes equations…

流体动力学 · 物理学 2024-08-07 Shayan Heydari , Rajeev K Jaiman
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