Design of a software tool for analyzing water looped networks by linear theory

Authors

gholaeza ghainy,*
*Corresponding Author: Email: [email protected]

Koomesh:Vol. 10, issue 4; 295-300
Published online:May 24, 2009
Article type:Research Article
Received:Mar 08, 2009
Accepted:Jun 23, 2009
How to Cite:ghainy G. Design of a software tool for analyzing water looped networks by linear theory. koomesh. 2009;10(4):e152255. doi:

Abstract

Introduction: Analyzing water looped networks lead to spontaneous solving of some linear and non-linear equations. So repeating methods must be used. The goal of this study was to design a software tool for analyzing water looped networks by linear theory. Materials and Methods: The software has been written in Delphi programming language and process of calculation is as following: (1) forming independent linear equations of discharge in nodes of network, (2) forming approximate linear equations head loss in network loops, (3) simultaneous solving of total linear equations and approximate linear equations, (4) repeated forming linear head loss with closer approximate by result of solving equations, and (5) repeating stage three and four till stabilization results quantity of solving equations. Results: This software is able to solve the network with following specifications: (1) it doesn’t have any limitation in view point of the number of water network loops, (2) the looped networks consisting some sources, and (3) the networks containing pumps for increasing potential energy. Conclusion: Some networks with different characteristics such as the number of loops forming network, network with some sources and the networks containing pumps were analyzed by this software with hardy - cross methods and same results were obtained that these results are the evidence for proper work of this software. This software is not able to solve the networks containing pressure relief valves and checks valves and can get complicated in future

Copyright

© 2009, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.

Similar Articles

23
Dec
2020
Local Blood Supply Chain Optimization: A Case Study

Local Blood Supply Chain Optimization: A Case Study

Reza Babazadeh,
Ali Sabbaghnia,
Fatemeh Shafipour

Babazadeh R, Sabbaghnia A, Shafipour F. Local Blood Supply Chain Optimization: A Case Study. Ann Mil Health Sci Res. 2020;18(4):e102880. doi: https://doi.org/10.5812/amh.102880

28
Feb
2011

Prediction of hepatitis B virus lamivudine resistance based on YMDD sequence data using an artificial neural network model

Mehrdad Ravanshad,
Farzaneh Sabahi,
Shahab Falahi,
Azra kenarkoohi,
Samad Amini Bavil Olaee,
Seyed Younes
,et al.

Ravanshad M, Sabahi F, Falahi S, kenarkoohi A, Olaee SA, et al. Prediction of hepatitis B virus lamivudine resistance based on YMDD sequence data using an artificial neural network model. Hepat Mon. 2011;11(2):. doi:

31
Mar
2018

Designing a software for electronically computation Teachers’ performance

Z Lashgary,
Z Jourabchi

Lashgary Z, Jourabchi Z. Designing a software for electronically computation Teachers’ performance. J Inflamm Dis. 2024;21(6):e156066. doi:

31
Oct
2019

Dynamic Thinking Approach of Non-medical Use of Pharmaceutical Opioids

Farahnaz Zeinali,
Ali Rajabzadeh Ghatari,
Mehdi Mohammadzadeh,
Fatemeh Mojibian

Zeinali F, Rajabzadeh Ghatari A, Mohammadzadeh M, Mojibian F. Dynamic Thinking Approach of Non-medical Use of Pharmaceutical Opioids. Iran J Pharm Res. 2019;18(4):e124704. doi: https://doi.org/10.22037/ijpr.2019.1100886

1
Oct
2011

A Simulation of an Sir Mathematical Model of HIV Transmission Dynamics Using the Classical Euler’s Method.

M Abdullahi Yau,
ON Nweze

Abdullahi Yau M, Nweze O. A Simulation of an Sir Mathematical Model of HIV Transmission Dynamics Using the Classical Euler’s Method.. Shiraz E-Med J. 2011;12(4):e93918. doi:

More by these authors

gholaeza ghainyPubMedScholar
Share
Cited by
Metrics