SOME EXAMPLES OF NUMERICAL MODELING OF NON-STEADY LIQUID FLOWS IN SIMPLE AND BRANCHED PIPELINES

2020 ◽  
Vol 23 (4) ◽  
Author(s):  
Vyacheslav Berman ◽  
◽  
Stepan Kril ◽  
Emil Bournaski ◽  
◽  
...  
Keyword(s):  
Numerical Modeling ◽  
Theoretical Approach ◽  
Turbulent Transport ◽  
Numerical Algorithms ◽  
Steady Flows ◽  
Hydraulic Impact ◽  
Pipeline Systems ◽  
Liquid Flows

In this paper we suggest to develop the theoretical approach and numerical modeling for non-steady turbulent transport of liquid flows in simple and branched pipelines. The basic problems for non-steady flows, such as starting and stopping of hydraulic pipeline systems, hydraulic impact and other were studied. Some concrete numerical algorithms for simulation of such kind of non-steady flows were also proposed in this paper.

scholarly journals Joint flow seismic inversion for characterizing fractured reservoirs: Theoretical approach and numerical modeling

2013 ◽  
Author(s):  
Peter K. Kang ◽  
Yingcai Zheng ◽  
Xinding Fang ◽  
Rafal Wojcik ◽  
Dennis McLaughlin ◽  
...  
Keyword(s):  
Numerical Modeling ◽  
Theoretical Approach ◽  
Fractured Reservoirs ◽  
Seismic Inversion

scholarly journals Numerical modeling of the hydraulic impact of riparian vegetation

2018 ◽  
Vol 44 ◽  
pp. 00194
Author(s):  
Krzysztof Wolski ◽  
Tomasz Tymiński ◽  
Grzegorz Chrobak
Keyword(s):  
Numerical Modeling ◽  
Riparian Vegetation ◽  
Water Surface ◽  
Numerical Models ◽  
Three Dimensional ◽  
Careful Examination ◽  
Impact Structure ◽  
Hydraulic Impact ◽  
Vegetation Zones ◽  
Maximal Shear Stress

This paper presents results of numerical modelling of riverbed segment with riparian vegetation performed with use of CCHE2 software. Vegetation zones are places where dynamic of water flow increases. Therefore, there is a need of careful examination of hydraulic impact structure of such zones. Accurate research is necessary and should be performed with use of physical or numerical models, two or three dimensional. Paper presents distribution of velocity and area of water surface for two variants of vegetation deposition acquired in CCHE2D software and modelled for riverbed with distinctive riparian vegetation. Results point to significant (30–40%) increase of maximal velocities in riverbed with riparian vegetation, while directly near the vegetation there were zones with very low velocities. Local damming occurs before vegetal zone. Maximal shear stress in zones with increased velocity is significantly augmented compared to conditions with no vegetation, which can cause more intensive erosion in those zones

Accurate and fast numerical algorithms for tracking particle size distributions during nanoparticle aggregation and dissolution

2017 ◽  
Vol 4 (1) ◽  
pp. 89-104 ◽  
Author(s):  
Amy L. Dale ◽  
Gregory V. Lowry ◽  
Elizabeth A. Casman
Keyword(s):  
Particle Size ◽  
Numerical Modeling ◽  
Numerical Algorithms ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Nanoparticle Aggregation ◽  
Size Dependent

We compare four numerical modeling frameworks that track particle size distributions during simultaneous size-dependent nanoparticle aggregation and dissolution in water.

scholarly journals Glomerular Filtration Rate Estimation by a Novel Numerical Binning-Less Isotonic Statistical Bivariate Numerical Modeling Method

Information ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 100 ◽  
Author(s):  
Sebastian Giles ◽  
Simone Fiori
Keyword(s):  
Numerical Modeling ◽  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Filtration Rate ◽  
Empirical Relationship ◽  
Numerical Algorithms ◽  
Creatinine Concentration ◽  
Estimate Glomerular Filtration Rate ◽  
Glomerular Filtration Rate Estimation ◽  
Progression Of Renal Disease

Statistical bivariate numerical modeling is a method to infer an empirical relationship between unpaired sets of data based on statistical distributions matching. In the present paper, a novel efficient numerical algorithm is proposed to perform bivariate numerical modeling. The algorithm is then applied to correlate glomerular filtration rate to serum creatinine concentration. Glomerular filtration rate is adopted in clinical nephrology as an indicator of kidney function and is relevant for assessing progression of renal disease. As direct measurement of glomerular filtration rate is highly impractical, there is considerable interest in developing numerical algorithms to estimate glomerular filtration rate from parameters which are easier to obtain, such as demographic and `bedside’ assays data.

Numerical modeling of gas-liquid flows in mini- and microchannels

2015 ◽  
Vol 22 (1) ◽  
pp. 61-71 ◽  
Author(s):  
D. V. Guzei ◽  
A. V. Minakov ◽  
M. I. Pryazhnikov ◽  
A. A. Dekterev
Keyword(s):  
Numerical Modeling ◽  
Liquid Flows

Numerical Modeling Study of Hydraulic Impact of a Large Sediment Capping Facility

2012 ◽  
Vol 138 (7) ◽  
pp. 642-652 ◽  
Author(s):  
Cheng He ◽  
Yerubandi R. Rao ◽  
Christopher H. Marvin
Keyword(s):  
Numerical Modeling ◽  
Sediment Capping ◽  
Hydraulic Impact ◽  
Modeling Study

Differential polarization imaging of sickled cells

1988 ◽  
Vol 46 ◽  
pp. 62-63
Author(s):  
Marcos F. Maestre
Keyword(s):  
Optical Properties ◽  
Theoretical Approach ◽  
Polarized Light ◽  
Polarization Microscopy ◽  
Spectroscopic Techniques ◽  
Polarization Imaging ◽  
Circularly Polarized Light ◽  
Circularly Polarized ◽  
Microscopic Scale ◽  
Chiral Structures

Recently we have developed a form of polarization microscopy that forms images using optical properties that have previously been limited to macroscopic samples. This has given us a new window into the distribution of structure on a microscopic scale. We have coined the name differential polarization microscopy to identify the images obtained that are due to certain polarization dependent effects. Differential polarization microscopy has its origins in various spectroscopic techniques that have been used to study longer range structures in solution as well as solids. The differential scattering of circularly polarized light has been shown to be dependent on the long range chiral order, both theoretically and experimentally. The same theoretical approach was used to show that images due to differential scattering of circularly polarized light will give images dependent on chiral structures. With large helices (greater than the wavelength of light) the pitch and radius of the helix could be measured directly from these images.

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