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相关论文: Experimental jet control with Bayesian optimizatio…

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User scheduling and beamforming design are two crucial yet coupled topics for wireless communication systems. They are usually optimized separately with conventional optimization methods. In this paper, a novel cross-layer optimization…

信息论 · 计算机科学 2022-03-03 Shiwen He , Zhenyu An , Jianyue Zhu , Min Zhang , Yongming Huang , Yaoxue Zhang

The present study report direct numerical simulation (DNS) of a circular jet and the effect of a large scale perturbation at the jet inlet. The perturbation is used to control the jet for increased spreading. Dual-mode perturbation is…

流体动力学 · 物理学 2010-10-18 Trushar B. Gohil , Arun K Saha , K. Muralidhar

This work identifies the physical mechanisms at play in the different flow regions along an Eckart acoustic streaming jet by means of numerical simulation based on a novel modeling of the driving acoustic force including attenuation…

流体动力学 · 物理学 2025-10-30 Bjarne Vincent , Daniel Henry , Abhishek Kumar , Valéry Botton , Alban Pothérat , Sophie Miralles

We use a series of global models to investigate the linear and nonlinear interactions between shock cells, Kelvin-Helmholtz waves, guided jet modes, and other fluctuations in a screeching jet. First, we identify a set of lightly damped…

流体动力学 · 物理学 2026-03-06 Ali Farghadan , Jayson Beekman , Petronio Nogueira , Daniel Edgington-Mitchell , Aaron Towne

Motivated by the problem of jet-flap interaction noise, we study the tonal dynamics that occur when a sharp edge is placed in the hydrodynamic nearfield of an isothermal turbulent jet. We perform hydrodynamic and acoustic pressure…

This experimental study investigates the effects of viscosity contrast between a saltwater jet and its high-viscosity propylene glycol surroundings. Using density-matched fluids in a gravity-driven flow, Jet Reynolds numbers (Re) from 1600…

流体动力学 · 物理学 2024-01-01 Vinod Srinivasan , Xijun Tan , Emmet Whitely , Ian Wright , Akash Dhotre , Jinwei Yang

We perform a resolvent analysis of a compressible turbulent jet, where the optimisation domain of the response modes is located in the acoustic field, excluding the hydrodynamic region, in order to promote acoustically efficient modes. We…

流体动力学 · 物理学 2024-05-02 B. Bugeat , U. Karban , A. Agarwal , L. Lesshafft , P. Jordan

Linear stability theory (LST) is often used to model the large-scale flow structures in the turbulent mixing region and near pressure field of high-speed jets. For perfectly-expanded single round jets, these models predict the dominance of…

Turbulent mixing layers over cavities can couple with acoustic waves and lead to undesired oscillations. To understand the nonlinear aspects of this phenomenon, a turbulent mixing layer over a deep cavity at Reynolds number 150 000 is…

流体动力学 · 物理学 2019-10-04 Edouard Boujo , Michael Bauerheim , Nicolas Noiray

The present paper investigates high performance computing abilities of OpenFOAM for a low Reynolds number ($Re_D=2000$) axisymmetric jet subject to multiple zero net mass flux (ZNMF) actuators. First, parallel performance of OpenFOAM is…

流体动力学 · 物理学 2014-06-30 Asim Önder , Johan Meyers

The kinematics of a gliding flat-plate with spanwise oscillation has been optimized to enhance the power efficiency by using Bayesian optimization method, in which the portfolio allocation framework consists of a Gaussian process…

流体动力学 · 物理学 2021-09-10 Chunyu Wang , Zhaoyue Xu , Xinlei Zhang , Shizhao Wang

Turbulence is a dominant feature operating in gaseous flows across nearly all scales in astrophysical environments. Accordingly, accurately estimating the statistical properties of such flows is necessary for developing a comprehensive…

太阳与恒星天体物理 · 物理学 2014-11-27 Lukas Konstandin , Rahul Shetty , Philipp Girichidis , Ralf S. Klessen

This paper develops a mathematical and computational framework for analyzing the expected performance of Bayesian data fusion, or joint statistical inference, within a sensor network. We use variational techniques to obtain the posterior…

统计理论 · 数学 2016-02-23 Gaurav Thakur

Experiments and numerical simulations were conducted to investigate the dispersion of turbulent jets issuing from realistic pipe geometries. The effect of jet densities and Reynolds numbers on vertical buoyant jets were investigated, as…

流体动力学 · 物理学 2018-11-15 Majid Soleimani Nia , Brian Maxwell , Peter Oshkai , Nedjib Djilali

A novel supersonic jet oscillating method is investigated both experimentally and numerically. A rectangular primary supersonic jet is issued into a confined chamber with sudden enlargement. Secondary control jets are issued from the top,…

流体动力学 · 物理学 2023-11-01 Spandan Maikap , S. K. Karthick , R. Arun Kumar

We predict the development and propagation of the fluctuations in a perturbed ideally-expanded air jet. A non-propagating harmonic perturbation in the density, axial velocity, and pressure is introduced at the inflow with different…

流体动力学 · 物理学 2025-01-16 Osama A. Marzouk

Buoyancy effects and nozzle geometry can have a significant impact on turbulent jet dispersion. This work was motivated by applications involving hydrogen. Using helium as an experimental proxy, buoyant horizontal jets issuing from a round…

流体动力学 · 物理学 2018-11-15 Majid Soleimani nia , Brian Maxwell , Peter Oshkai , Ned Djilali

We have used Bayesian Optimisation (BO) to find hyper-parameters in an existing biologically plausible population neural network. The 8-dimensional optimal hyper-parameter combination should be such that the network dynamics simulate the…

定量方法 · 定量生物学 2021-04-14 Mahak Kothari , Swapna Sasi , Jun Chen , Elham Zareian , Basabdatta Sen Bhattacharya

Axisymmetric waves occur across a wide range of scales. This study analyses large-scale gravity-dominated axisymmetric waves, with jet heights of up to 6 m, for which surface-tension effects are negligible. The Bond number is O(10^5) and…

In this paper we are interested in optimizing the shape of multi-flagellated helical microswimmers. Mimicking the propagation of helical waves along the flagella, they self-propel by rotating their tails. The swimmer's dynamics is computed…