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Relevant bibliographies by topics / Root-mean-square fluctuation

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Journal articles

Academic literature on the topic 'Root-mean-square fluctuation'

Author: Grafiati

Published: 6 September 2023

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Journal articles on the topic "Root-mean-square fluctuation"

1

Cai, Jian-Cheng, Hao-Jie Chen, Volodymyr Brazhenko, and Yi-Hong Gu. "Study of the Hydrodynamic Unsteady Flow Inside a Centrifugal Fan and Its Downstream Pipe Using Detached Eddy Simulation." Sustainability 13, no. 9 (2021): 5113. http://dx.doi.org/10.3390/su13095113.

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The detailed unsteady turbulent flow inside a centrifugal fan and its downstream pipe was studied using detached eddy simulation (DES) at three flowrates, namely, the best efficiency point (BEP), 0.75BEP, and 1.49BEP. Both the mean and fluctuating flow fields were analyzed on the basis of the root-mean-square value as the indication of fluctuating intensity. Results showed that the pressure fluctuation had the minimum value at BEP, but the velocity fluctuation increased with the flowrate. Most regions inside the centrifugal fan underwent large pressure fluctuation with the magnitude of about 1

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2

Lu, Tao, Su Mei Liu, Ping Wang, and Wei Yyu Zhu. "Larger-Eddy Simulation of Velocity Fluctuation in a Mixing T-Junction." Applied Mechanics and Materials 152-154 (January 2012): 1313–18. http://dx.doi.org/10.4028/www.scientific.net/amm.152-154.1313.

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Velocity fluctuations in a mixing T-junction were simulated in FLUENT using large-eddy simulation (LES) turbulent flow model with sub-grid scale (SGS) Smagorinsky–Lilly (SL) model. The normalized mean and root mean square velocities are used to describe the time-averaged velocities and the velocities fluctuation intensities. Comparison of the numerical results with experimental data shows that the LES model is valid for predicting the flow of mixing in a T-junction junction. The numerical results reveal the velocity distributions and fluctuations are basically symmetrical and the fluctuation a

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3

Suzuki, Y., M. Kiya, T. Sampo, and Y. Naka. "Pressure Fluctuations on the Surface of a Hemisphere Immersed in a Thick Turbulent Boundary Layer." Journal of Fluids Engineering 109, no. 2 (1987): 130–35. http://dx.doi.org/10.1115/1.3242632.

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Statistical properties of pressure fluctuations on the surface of a hemisphere immersed in a thick turbulent boundary layer are described. The height of the hemisphere tested was 0.275 thicknesses of the boundary layer. Reynolds number based on the model diameter D and the time-mean approaching flow velocity at the level of the top Ur was 3.0 × 105. Time-mean and root-mean-square (rms) values, probability density and power spectra of the pressure fluctuations are presented and discussed. The pressure fluctuations are related to the fluctuating approaching-flow velocity in terms of the pressure

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4

Tsekov, Roumen. "Brownian Emitters." Fluctuation and Noise Letters 15, no. 04 (2016): 1650022. http://dx.doi.org/10.1142/s021947751650022x.

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A Brownian harmonic oscillator, which dissipates energy either by friction or via emission of electromagnetic radiation, is considered. This Brownian emitter is driven by the surrounding thermo-quantum fluctuations, which are theoretically described by the fluctuation–dissipation theorem. It is shown how the Abraham–Lorentz force leads to dependence of the half-width on the peak frequency of the oscillator amplitude spectral density. It is found that for the case of a charged particle moving in vacuum at zero temperature, its root-mean-square velocity fluctuation is a universal constant, equal

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5

Li, Yuepeng, Liuyue Wang, Xun Zou, Jihong Qu, and Gang Bai. "Experimental and Simulation Research on the Process of Nitrogen Migration and Transformation in the Fluctuation Zone of Groundwater Level." Applied Sciences 12, no. 8 (2022): 3742. http://dx.doi.org/10.3390/app12083742.

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The fluctuation of groundwater causes a change in the groundwater environment and then affects the migration and transformation of pollutants. To study the influence of water level fluctuations on nitrogen migration and transformation, physical experiments on the nitrogen migration and transformation process in the groundwater level fluctuation zone were carried out. A numerical model of nitrogen migration in the Vadose zone and the saturated zone was constructed by using the software HydrUS-1D. The correlation coefficient and the root mean square error of the model show that the model fits we

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6

Saavedra, L. G. P. "Geometric Factors in Electromagnetic Field Commutators and the Quantum Information Control of Vacuum Fluctuations." Open Systems & Information Dynamics 14, no. 03 (2007): 319–32. http://dx.doi.org/10.1007/s11080-007-9055-1.

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The electromagnetic field commutation relations are defined in terms of geometric factors that are double averages over two finite four-dimensional space-time regions. The square root of any of the uncertainty relations derived from the aforementioned commutators is taken as a critical field, in the sense that any electromagnetic field much larger than it can be treated as classical. Another critical electromagnetic field associated with the quantum information control of vacuum fluctuations can be chosen as the square root of the mean quadratic fluctuation of each quantity of electromagnetic

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7

Cho, Soo-Hwan, and Sang-Gyun Kang. "Application of the Combined Kalman Filter and Root-Mean-Square Method to Detection of Voltage Fluctuation." Advanced Science Letters 8, no. 1 (2012): 649–53. http://dx.doi.org/10.1166/asl.2012.2457.

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8

Kysela, Bohuš, Jiří Konfršt, Ivan Fořt, Michal Kotek, and Zdeněk Chára. "Study of the Turbulent Flow Structure around a Standard Rushton Impeller." Chemical and Process Engineering 35, no. 1 (2014): 137–47. http://dx.doi.org/10.2478/cpe-2014-0010.

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Abstract The velocity field around the standard Rushton turbine was investigated by the Laser Doppler Anemometry (LDA) and Particle Image Velocimetry (PIV) measurements. The mean ensembleaveraged velocity profiles and root mean square values of fluctuations were evaluated at two different regions. The first one was in the discharge stream in the radial direction from the impeller where the radial flow is dominant and it is commonly modelled as a swirling turbulent jet. The validity range of the turbulent jet model was studied. The second evaluated region is under the impeller where flow seems

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9

Spangler, S. R. "The small amplitude of density turbulence in the inner solar wind." Nonlinear Processes in Geophysics 10, no. 1/2 (2003): 113–20. http://dx.doi.org/10.5194/npg-10-113-2003.

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Abstract. Very Long Baseline Interferometer (VLBI) observations were made of radio sources close to the Sun, whose lines of sight pass through the inner solar wind (impact parameters 16-26 RE). Power spectra were analyzed of the interferometer phase fluctuations due to the solar wind plasma. These power spectra provide information on the level of plasma density fluctuations on spatial scales of roughly one hundred to several thousand kilometers. By specifying an outer scale to the turbulence spectrum, we can estimate the root-mean-square (rms) amplitude of the density fluctuations. The data in

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10

Lu, Tao, Yong Wei Wang, and Ping Wang. "Large Eddy Simulation with Three Kinds of Sub-Grid Scale Model on Temperature Fluctuation of Hot and Cold Fluids Mixing in a Tee." Applied Mechanics and Materials 152-154 (January 2012): 1307–12. http://dx.doi.org/10.4028/www.scientific.net/amm.152-154.1307.

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In the present work the temperature fluctuations in a mixing tee were simulated on FLUENT platform using the large-eddy simulation (LES) turbulent flow model with three kinds of sub-grid scale (SGS) models such as Smagorinsky-Lilly (SL) model, Wall-adapted Local Eddy-viscosity (WALE) model, and Kinetic-energy transport (KET) model. The normalized mean and root mean square temperatures were predicted and analyzed with consideration of buoyancy. The numerical results showed that buoyancy greatly influences the mixing flow and the thermal striping phenomena were quite obvious. These three SGS mod

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