scholarly journals On scientific inference in geophysics and the use of numerical simulations for scientific investigations

2015 ◽  
Vol 2 (8) ◽  
pp. 359-367 ◽  
Author(s):  
A. J. Mannucci ◽  
B. T. Tsurutani ◽  
O. P. Verkhoglyadova ◽  
X. Meng
Keyword(s):  
Numerical Simulations ◽  
Scientific Investigations ◽  
Scientific Inference

Direct Numerical Simulations of Gas–Liquid Multiphase Flows

2001 ◽  
Author(s):  
Grétar Tryggvason ◽  
Ruben Scardovelli ◽  
Stéphane Zaleski
Keyword(s):  
Numerical Simulations ◽  
Multiphase Flows ◽  
Direct Numerical Simulations

Pyramid Power: Statistics as Part of Greater Scientific Inference

2003 ◽  
Vol 48 (1) ◽  
pp. 117-120
Author(s):  
Dana S. Dunn
Keyword(s):  
Scientific Inference

Saturation mechanism and generated viscosity in gravito-turbulent accretion disks

2020 ◽  
Vol 640 ◽  
pp. A53
Author(s):  
L. Löhnert ◽  
S. Krätschmer ◽  
A. G. Peeters
Keyword(s):  
Growth Rate ◽  
Numerical Simulations ◽  
Accretion Disks ◽  
Gravitational Instability ◽  
Turbulent Viscosity ◽  
Radial Distance ◽  
Maximum Growth ◽  
Wave Number ◽  
Radiative Cooling ◽  
Mixing Length

Here, we address the turbulent dynamics of the gravitational instability in accretion disks, retaining both radiative cooling and irradiation. Due to radiative cooling, the disk is unstable for all values of the Toomre parameter, and an accurate estimate of the maximum growth rate is derived analytically. A detailed study of the turbulent spectra shows a rapid decay with an azimuthal wave number stronger than ky−3, whereas the spectrum is more broad in the radial direction and shows a scaling in the range kx−3 to kx−2. The radial component of the radial velocity profile consists of a superposition of shocks of different heights, and is similar to that found in Burgers’ turbulence. Assuming saturation occurs through nonlinear wave steepening leading to shock formation, we developed a mixing-length model in which the typical length scale is related to the average radial distance between shocks. Furthermore, since the numerical simulations show that linear drive is necessary in order to sustain turbulence, we used the growth rate of the most unstable mode to estimate the typical timescale. The mixing-length model that was obtained agrees well with numerical simulations. The model gives an analytic expression for the turbulent viscosity as a function of the Toomre parameter and cooling time. It predicts that relevant values of α = 10−3 can be obtained in disks that have a Toomre parameter as high as Q ≈ 10.

SYNCHROTRON-BASED TRANSMISSION X-RAY MICROSCOPY: A TOOL FOR THREE-DIMENSIONAL SPECTROSCOPIC IMAGING AND NUMERICAL SIMULATIONS

2016 ◽  
Vol 19 (1) ◽  
pp. 127-158 ◽  
Author(s):  
Matthew B. DeGostin ◽  
Alex P. Cocco ◽  
Wilson K. S. Chiu
Keyword(s):  
Numerical Simulations ◽  
Three Dimensional ◽  
Spectroscopic Imaging ◽  
X Ray

CHARACTERIZATION OF SPLASH-PLATE ATOMIZERS USING NUMERICAL SIMULATIONS

2007 ◽  
Vol 17 (4) ◽  
pp. 347-380 ◽  
Author(s):  
Mohammad P. Fard ◽  
Denise Levesque ◽  
Stuart Morrison ◽  
Nasser Ashgriz ◽  
J. Mostaghimi
Keyword(s):  
Numerical Simulations

NUMERICAL SIMULATIONS OF MHD FLUID FLOW AND HEAT TRANSFER IN A LID-DRIVEN CAVITY AT HIGH HARTMANN NUMBERS

2012 ◽  
Vol 43 (5) ◽  
pp. 383-404
Author(s):  
Dipin Kalapurakal ◽  
Abhilash Chandy
Keyword(s):  
Heat Transfer ◽  
Fluid Flow ◽  
Numerical Simulations ◽  
Driven Cavity ◽  
Flow And Heat Transfer

NUMERICAL SIMULATIONS OF A LIQUID VAPOUR PHASE CHANGE PROBLEM IN A CLOSED CAVITY

Equipment ◽  
2006 ◽  
Author(s):  
V. Daru ◽  
M.-C. Duluc ◽  
I. Elayyadi ◽  
P. Le Quere
Keyword(s):  
Phase Change ◽  
Numerical Simulations ◽  
Vapour Phase ◽  
Closed Cavity ◽  
Change Problem
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