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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Water and Wastewater Consulting Engineers Research Development
2006-09-01
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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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