Evolutionary Optimization for the Number and Capacity of Surge Tanks and Pipeline Diameters in a Transmission Line

Controlling the unsteady effects of fluid flow (water hammer) is one of the most important monitoring factors for structural protection of transmission pipelines. These effects are controlled by surge tanks, air chambers, pressure relief valves, and check valves. Generally, the critical points are d...

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Main Authors: Gholam Reza Talebzadeh Sarvestani, Mohssen Nasseri, Keivan Asghari
Format: Article
Language:English
Published: Water and Wastewater Consulting Engineers Research Development 2006-09-01
Series:آب و فاضلاب
Subjects:
Online Access:http://www.wwjournal.ir/article_2289_cfd9fe42d0018d26d9fec1ab7f312bb1.pdf
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spelling doaj-4ea26103899e4b7696f73375f0e497a62021-03-02T04:32:34ZengWater and Wastewater Consulting Engineers Research Developmentآب و فاضلاب1024-59362383-09052006-09-0117329382289Evolutionary Optimization for the Number and Capacity of Surge Tanks and Pipeline Diameters in a Transmission LineGholam Reza Talebzadeh Sarvestani0Mohssen Nasseri1Keivan Asghari2MSc Graduate of Water Resources Engineering, Dept. of Civil Engineering, Isfahan University of TechnologyPh.D. Student of Water and Environmental Engineering, Dept. of Civil Engineering, Shiraz UniversityAssistant Prof., Dept. of Civil Engineering, Isfahan University of TechnologyControlling the unsteady effects of fluid flow (water hammer) is one of the most important monitoring factors for structural protection of transmission pipelines. These effects are controlled by surge tanks, air chambers, pressure relief valves, and check valves. Generally, the critical points are detected by simulating the unsteady flow of the fluid, and accordingly, optimum positioning of the control devices is decided. Among the search methods, Genetic Algorithm (GA) is an effective and robust method to solve highly complex optimization problems. Here, for the first time, GA coupled with an unsteady flow simulator is used to optimize the number and capacity of surge tanks in a pipeline system. In addition, the pipeline diameters are optimized for their best performance.http://www.wwjournal.ir/article_2289_cfd9fe42d0018d26d9fec1ab7f312bb1.pdfEvolutionary OptimizationGenetic Algorithm (GA)Unsteady flowSurge TanksDiameter Optimization
collection DOAJ
language English
format Article
sources DOAJ
author Gholam Reza Talebzadeh Sarvestani
Mohssen Nasseri
Keivan Asghari
spellingShingle Gholam Reza Talebzadeh Sarvestani
Mohssen Nasseri
Keivan Asghari
Evolutionary Optimization for the Number and Capacity of Surge Tanks and Pipeline Diameters in a Transmission Line
آب و فاضلاب
Evolutionary Optimization
Genetic Algorithm (GA)
Unsteady flow
Surge Tanks
Diameter Optimization
author_facet Gholam Reza Talebzadeh Sarvestani
Mohssen Nasseri
Keivan Asghari
author_sort Gholam Reza Talebzadeh Sarvestani
title Evolutionary Optimization for the Number and Capacity of Surge Tanks and Pipeline Diameters in a Transmission Line
title_short Evolutionary Optimization for the Number and Capacity of Surge Tanks and Pipeline Diameters in a Transmission Line
title_full Evolutionary Optimization for the Number and Capacity of Surge Tanks and Pipeline Diameters in a Transmission Line
title_fullStr Evolutionary Optimization for the Number and Capacity of Surge Tanks and Pipeline Diameters in a Transmission Line
title_full_unstemmed Evolutionary Optimization for the Number and Capacity of Surge Tanks and Pipeline Diameters in a Transmission Line
title_sort evolutionary optimization for the number and capacity of surge tanks and pipeline diameters in a transmission line
publisher Water and Wastewater Consulting Engineers Research Development
series آب و فاضلاب
issn 1024-5936
2383-0905
publishDate 2006-09-01
description Controlling the unsteady effects of fluid flow (water hammer) is one of the most important monitoring factors for structural protection of transmission pipelines. These effects are controlled by surge tanks, air chambers, pressure relief valves, and check valves. Generally, the critical points are detected by simulating the unsteady flow of the fluid, and accordingly, optimum positioning of the control devices is decided. Among the search methods, Genetic Algorithm (GA) is an effective and robust method to solve highly complex optimization problems. Here, for the first time, GA coupled with an unsteady flow simulator is used to optimize the number and capacity of surge tanks in a pipeline system. In addition, the pipeline diameters are optimized for their best performance.
topic Evolutionary Optimization
Genetic Algorithm (GA)
Unsteady flow
Surge Tanks
Diameter Optimization
url http://www.wwjournal.ir/article_2289_cfd9fe42d0018d26d9fec1ab7f312bb1.pdf
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