2017
DOI: 10.3390/en10091359
|View full text |Cite
|
Sign up to set email alerts
|

Numerical Simulation of Density-Driven Flow and Heat Transport Processes in Porous Media Using the Network Method

Abstract: Density-driven flow and heat transport processes in 2-D porous media scenarios are governed by coupled, non-linear, partial differential equations that normally have to be solved numerically. In the present work, a model based on the network method simulation is designed and applied to simulate these processes, providing steady state patterns that demonstrate its computational power and reliability. The design is relatively simple and needs very few rules. Two applications in which heat is transported by natur… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
6
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
9

Relationship

3
6

Authors

Journals

citations
Cited by 12 publications
(6 citation statements)
references
References 27 publications
0
6
0
Order By: Relevance
“…Thus, the network method is a quite simple tool because the researcher must only be familiarized with a few rules of circuit theory (constitutive Ohm's law and Kirchhoff's theorems). The reliability of the proposed method has been demonstrated in many other engineering problems such as soil consolidation, tribology, elasticity, solute transport and heat transfer, among others (García-Ros et al, 2019;Marín et al, 2012;Morales et al, 2012;Cánovas et al, 2017;Cánovas et al, 2015).…”
Section: Ec 379mentioning
confidence: 93%
“…Thus, the network method is a quite simple tool because the researcher must only be familiarized with a few rules of circuit theory (constitutive Ohm's law and Kirchhoff's theorems). The reliability of the proposed method has been demonstrated in many other engineering problems such as soil consolidation, tribology, elasticity, solute transport and heat transfer, among others (García-Ros et al, 2019;Marín et al, 2012;Morales et al, 2012;Cánovas et al, 2017;Cánovas et al, 2015).…”
Section: Ec 379mentioning
confidence: 93%
“…The network simulation method has been successfully employed in numerous fields of applied engineering, such as ceramic coatings [36], dispersion of atmospheric pollutants [37], reinforced concrete corrosion [38], soil consolidation [39,40], seepage [41], heat transport [42][43][44], and many physical problems in engineering [30]. This technique makes use of the powerful algorithms of the circuit resolution codes [32,33] that are able to successfully cope with coupled and strong non-linear mathematical models, including Gear s fixed time methods [45], trapezoidal integration [31], and iterative methods, such as Runge-Kutta.…”
Section: Introductionmentioning
confidence: 99%
“…The method has two phases: (i) the elaboration of a network model (electrical circuit equivalent to the process) and (ii) the simulation of the problem (obtaining the results of the network model) by means of a suitable program that allows the resolution of electrical circuits [21,22]. Recently, this technique has been successfully used in the simulation of a wide variety of problems in different fields of engineering, such as electrochemistry [23,24], elasticity [25], heat transfer [26] and tribology [27], providing accurate solutions in all cases. Its versatility is so high that, provided the appropriate equivalences are established (geometric, of the model and its variables of interest), it could be applied in other fields of knowledge such as neural networks [28] or geometric modeling [29][30][31][32].…”
Section: Introductionmentioning
confidence: 99%