Towards design of compound channels with minimum overall cost through grey wolf optimization algorithm

The significant role of open channels in agriculture include supplying drinking water, industry, irrigation and flood control, making these hydraulic structures an integral part of the water conveyance system. Determination of optimum dimensions with minimum construction costs is considered as the p...

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Autores principales:	Kiyoumars Roushangar, Aida Nouri, Saman Shahnazi, Hazi Md Azamathulla
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	compound channels grey wolf optimization hydraulic parameters optimization stability Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/932bbaf5e84846cab8dc02b4825cf101
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spelling	oai:doaj.org-article:932bbaf5e84846cab8dc02b4825cf1012021-11-05T17:51:15ZTowards design of compound channels with minimum overall cost through grey wolf optimization algorithm1464-71411465-173410.2166/hydro.2021.050https://doaj.org/article/932bbaf5e84846cab8dc02b4825cf1012021-09-01T00:00:00Zhttp://jh.iwaponline.com/content/23/5/985https://doaj.org/toc/1464-7141https://doaj.org/toc/1465-1734The significant role of open channels in agriculture include supplying drinking water, industry, irrigation and flood control, making these hydraulic structures an integral part of the water conveyance system. Determination of optimum dimensions with minimum construction costs is considered as the primary concern when designing artificial open channels. To achieve this, the compound channels were evaluated with the following constraints, viz. composite roughness, velocity, Froude number and channel stability. Grey wolf optimization (GWO) was used to determine the optimal geometry of the channel. Optimization results clearly showed that the variation of roughness coefficient and the increase of factor of safety increased costs by 60 and 20% respectively. The optimum suitable cross-section for the compound channels was obtained by conducting various model scenarios. HIGHLIGHTS Grey wolf optimization (GWO) is proposed as an evolutionary method to achieve the optimum dimension of compound channels.; Two types of compound channel sections are investigated.; The constraints of roughness coefficient, velocity, Froude number and channel stability are evaluated.; Variation of roughness coefficient significantly impacts the construction cost.;Kiyoumars RoushangarAida NouriSaman ShahnaziHazi Md AzamathullaIWA Publishingarticlecompound channelsgrey wolf optimizationhydraulic parametersoptimizationstabilityInformation technologyT58.5-58.64Environmental technology. Sanitary engineeringTD1-1066ENJournal of Hydroinformatics, Vol 23, Iss 5, Pp 985-999 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	compound channels grey wolf optimization hydraulic parameters optimization stability Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
spellingShingle	compound channels grey wolf optimization hydraulic parameters optimization stability Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 Kiyoumars Roushangar Aida Nouri Saman Shahnazi Hazi Md Azamathulla Towards design of compound channels with minimum overall cost through grey wolf optimization algorithm
description	The significant role of open channels in agriculture include supplying drinking water, industry, irrigation and flood control, making these hydraulic structures an integral part of the water conveyance system. Determination of optimum dimensions with minimum construction costs is considered as the primary concern when designing artificial open channels. To achieve this, the compound channels were evaluated with the following constraints, viz. composite roughness, velocity, Froude number and channel stability. Grey wolf optimization (GWO) was used to determine the optimal geometry of the channel. Optimization results clearly showed that the variation of roughness coefficient and the increase of factor of safety increased costs by 60 and 20% respectively. The optimum suitable cross-section for the compound channels was obtained by conducting various model scenarios. HIGHLIGHTS Grey wolf optimization (GWO) is proposed as an evolutionary method to achieve the optimum dimension of compound channels.; Two types of compound channel sections are investigated.; The constraints of roughness coefficient, velocity, Froude number and channel stability are evaluated.; Variation of roughness coefficient significantly impacts the construction cost.;
format	article
author	Kiyoumars Roushangar Aida Nouri Saman Shahnazi Hazi Md Azamathulla
author_facet	Kiyoumars Roushangar Aida Nouri Saman Shahnazi Hazi Md Azamathulla
author_sort	Kiyoumars Roushangar
title	Towards design of compound channels with minimum overall cost through grey wolf optimization algorithm
title_short	Towards design of compound channels with minimum overall cost through grey wolf optimization algorithm
title_full	Towards design of compound channels with minimum overall cost through grey wolf optimization algorithm
title_fullStr	Towards design of compound channels with minimum overall cost through grey wolf optimization algorithm
title_full_unstemmed	Towards design of compound channels with minimum overall cost through grey wolf optimization algorithm
title_sort	towards design of compound channels with minimum overall cost through grey wolf optimization algorithm
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/932bbaf5e84846cab8dc02b4825cf101
work_keys_str_mv	AT kiyoumarsroushangar towardsdesignofcompoundchannelswithminimumoverallcostthroughgreywolfoptimizationalgorithm AT aidanouri towardsdesignofcompoundchannelswithminimumoverallcostthroughgreywolfoptimizationalgorithm AT samanshahnazi towardsdesignofcompoundchannelswithminimumoverallcostthroughgreywolfoptimizationalgorithm AT hazimdazamathulla towardsdesignofcompoundchannelswithminimumoverallcostthroughgreywolfoptimizationalgorithm
_version_	1718444113347477504

Towards design of compound channels with minimum overall cost through grey wolf optimization algorithm

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