Mathematical and numerical modeling of junction problems for Timoshenko inclusions in elastic bodies

2021 ◽  
Author(s):  
Tatiana Popova
Keyword(s):  
Numerical Modeling ◽  
Elastic Bodies ◽  
Mathematical And Numerical Modeling

Mathematical and Numerical Modeling of Desalination of Seawater

2017 ◽  
Vol 8 (2) ◽  
pp. 57
Author(s):  
A. Echchikhi ◽  
Kamal Gueraoui ◽  
H. El Rhaleb
Keyword(s):  
Numerical Modeling ◽  
Mathematical And Numerical Modeling

Mathematical and Numerical Modeling of Non-Newtonian Thermo-Hydrodynamic Flow in Non-Darcy Porous Media

2004 ◽  
Vol 31 (1) ◽  
pp. 1-12 ◽  
Author(s):  
O. Anwar Beg ◽  
Tasveer A. Beg ◽  
H. S. Takhar ◽  
A. Raptis
Keyword(s):  
Numerical Modeling ◽  
Porous Media ◽  
Hydrodynamic Flow ◽  
Mathematical And Numerical Modeling

Mathematical and Numerical Modeling of Liquids Dynamics in a Horizontal Capillary

2019 ◽  
pp. 66-78
Author(s):  
Giovanni Cavaccini ◽  
Vittoria Pianese ◽  
Alessandra Jannelli ◽  
Salvatore Iacono ◽  
Riccardo Fazio
Keyword(s):  
Numerical Modeling ◽  
Mathematical And Numerical Modeling

scholarly journals Study of the Impact of PV-Thermal and Nanofluids on the Desalination Process by Flashing

2020 ◽  
Vol 3 (1) ◽  
pp. 10
Author(s):  
Samuel Sami
Keyword(s):  
Experimental Data ◽  
Numerical Modeling ◽  
Solar System ◽  
Solar Radiation ◽  
Base Fluid ◽  
Control Volume ◽  
Proposed Model ◽  
Finite Control ◽  
The Impact ◽  
Mathematical And Numerical Modeling

In this study, a mathematical and numerical modeling of the photovoltaic (PV)-thermal solar system to power the multistage flashing chamber process is presented. The proposed model was established after the mass and energy conservation equations written for finite control volume were integrated with properties of the water and nanofluids. The nanofluids studied and presented herein are Ai2O3, CuO, Fe3O4, and SiO2. The multiple flashing chamber process was studied under various conditions, including different solar radiation levels, brine flows and concentrations, and nanofluid concentrations as well as flashing chamber temperatures and pressures. Solar radiation levels were taken as 500 w/m2, 750 w/m2, 1000 w/m2, and finally, 1200 w/m2. The nanofluid volumetric concentrations considered varied from 1% to 20%. There is clear evidence that the higher the solar radiation, the higher the flashed flow produced. The results also clearly show that irreversibility is reduced by using nanofluid Ai2O3 at higher concentrations of 10% to 20% compared to water as base fluid. The highest irreversibility was experienced when water was used as base fluid and the lowest irreversibility was associated with nanofluid SiO2. The irreversibility increase depends upon the type of nanofluid and its thermodynamic properties. Furthermore, the higher the concentration (e.g., from 10% to 20% of Ai2O3), the higher the availability at the last flashing chamber. However, the availability is progressively reduced at the last flashing chamber. Finally, the predicted results compare well with experimental data published in the literature.

scholarly journals NUMERICAL MODELLING FOR UNDERGROUND MINING RELATED GEOTECHNICAL ISSUES

2013 ◽  
Vol 35 (3) ◽  
pp. 13-24
Author(s):  
L. Florkowska
Keyword(s):  
Numerical Modeling ◽  
Numerical Modelling ◽  
Continuous Monitoring ◽  
Underground Mining ◽  
Mining Areas ◽  
Geotechnical Problems ◽  
Mathematical And Numerical Modeling

Abstract Issues presented in this work relate to geotechnical problems that are specific to the mining areas. The paper discusses the methodology of mathematical and numerical modeling of these problems. Examples contained in the paper include: predicting the influence of mining exploitation on a detached building and evaluating the effectiveness of the building protection with the trench. Possible applications of numerical modeling as a tool to aid the continuous monitoring of the building state during the exploitation have also been discussed

Computational electrocardiology: mathematical and numerical modeling

2007 ◽  
pp. 187-241 ◽  
Author(s):  
P. Colli Franzone ◽  
L. F. Pavarino ◽  
G. Savaré
Keyword(s):  
Numerical Modeling ◽  
Mathematical And Numerical Modeling

scholarly journals Mathematical and Numerical Modeling of Flow and Transport 2012

2012 ◽  
Vol 2012 ◽  
pp. 1-4
Author(s):  
Shuyu Sun ◽  
Mohamed Fathy El-Amin ◽  
Zhangxing Chen ◽  
Hiroshi Kanayama
Keyword(s):  
Numerical Modeling ◽  
Flow And Transport ◽  
Mathematical And Numerical Modeling

scholarly journals MATHEMATICAL AND NUMERICAL MODELING OF NANOPARTICLES TRANSPORT

2015 ◽  
Vol 16 (1-4) ◽  
pp. 13-21
Author(s):  
Rachid Boudhan ◽  
Kamal Gueraoui ◽  
A. Joubert ◽  
L. Le Coq
Keyword(s):  
Numerical Modeling ◽  
Mathematical And Numerical Modeling
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