Jaya Algorithm for Optimization of 2D Reinforced Concrete Frame Structure

Reinforced concrete skeleton frames are preferred for different sizes and types of structures, due to their features such as high strength, durability, and easy fabrication. This study aims to present the efficiency of the Jaya algorithm for determining the optimal design solution for two-dimensiona...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Grzywiński, Maksym, Dede, Tayfun, Atmaca, Barbaros, Aslay, Semi E.
Format: Buchkapitel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 80
container_issue
container_start_page 74
container_title
container_volume 1146
creator Grzywiński, Maksym
Dede, Tayfun
Atmaca, Barbaros
Aslay, Semi E.
description Reinforced concrete skeleton frames are preferred for different sizes and types of structures, due to their features such as high strength, durability, and easy fabrication. This study aims to present the efficiency of the Jaya algorithm for determining the optimal design solution for two-dimensional reinforced concrete frame structures. A three-bay, and three-story frame structure is taken as a numerical example. Turkish standard has been taken into account in the design. The Jaya algorithm is a meta-heuristic that is capable of solving both constrained and unconstrained optimization problems. It is a population-based method that repeatedly modifies a population of individual solutions. It is a gradient-free optimization algorithm.
doi_str_mv 10.1007/978-3-031-73161-7_7
format Book Chapter
fullrecord <record><control><sourceid>proquest_sprin</sourceid><recordid>TN_cdi_proquest_ebookcentralchapters_31747196_74_84</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC31747196_74_84</sourcerecordid><originalsourceid>FETCH-LOGICAL-p867-fe9fa5402db4be61c143a52cf5ee930ae5b43d62c1c4d3f80f1a8461b98b56813</originalsourceid><addsrcrecordid>eNpVkEtOwzAQhs1TlNITsMkFAn7bWVaF8qpUCbq3HHfcRrRJcNwFnKZn6clwKUJiMyP9n_7R6EPomuAbgrG6LZTOWY4ZyRUjMk2jjtAgpSxlP5E6Rj3KpMoZ08XJP4bx6R9T-BxdEi4FlboQ9AINuq4qsVCUU8WLHnp5tp82G64WTajicp35Juy20zZW6-rLxqqps8bvtvQue4WqTtDBPBs1tQsQIRsHu4bsLYaNi5sAV-jM21UHg9_dR7Px_Wz0mE-mD0-j4SRvdXrKQ-Gt4JjOS16CJI5wZgV1XgAUDFsQJWdzSR1xfM68xp5YzSUpC10KqQnrI3I427WhqhcQTNk0750h2OzlmaTCMJNkmB9TJslLHXbotKH52EAXDexLDuoY7MotbRshdCYJ5IoU0ihuNGff1kZuiA</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>book_chapter</recordtype><pqid>EBC31747196_74_84</pqid></control><display><type>book_chapter</type><title>Jaya Algorithm for Optimization of 2D Reinforced Concrete Frame Structure</title><source>Springer Books</source><creator>Grzywiński, Maksym ; Dede, Tayfun ; Atmaca, Barbaros ; Aslay, Semi E.</creator><contributor>Kciuk, Sławomir ; Szewczyk, Roman ; Świtoński, Eugeniusz ; Mężyk, Arkadiusz ; Szewczyk, Roman ; Kciuk, Sławomir ; Świtoński, Eugeniusz ; Mężyk, Arkadiusz</contributor><creatorcontrib>Grzywiński, Maksym ; Dede, Tayfun ; Atmaca, Barbaros ; Aslay, Semi E. ; Kciuk, Sławomir ; Szewczyk, Roman ; Świtoński, Eugeniusz ; Mężyk, Arkadiusz ; Szewczyk, Roman ; Kciuk, Sławomir ; Świtoński, Eugeniusz ; Mężyk, Arkadiusz</creatorcontrib><description>Reinforced concrete skeleton frames are preferred for different sizes and types of structures, due to their features such as high strength, durability, and easy fabrication. This study aims to present the efficiency of the Jaya algorithm for determining the optimal design solution for two-dimensional reinforced concrete frame structures. A three-bay, and three-story frame structure is taken as a numerical example. Turkish standard has been taken into account in the design. The Jaya algorithm is a meta-heuristic that is capable of solving both constrained and unconstrained optimization problems. It is a population-based method that repeatedly modifies a population of individual solutions. It is a gradient-free optimization algorithm.</description><identifier>ISSN: 2367-3370</identifier><identifier>ISBN: 9783031731600</identifier><identifier>ISBN: 3031731603</identifier><identifier>EISSN: 2367-3389</identifier><identifier>EISBN: 9783031731617</identifier><identifier>EISBN: 3031731611</identifier><identifier>DOI: 10.1007/978-3-031-73161-7_7</identifier><identifier>OCLC: 1465268952</identifier><identifier>LCCallNum: TA329-348</identifier><language>eng</language><publisher>Switzerland: Springer</publisher><subject>frame structure ; Jaya algorithm ; reinforced concrete ; size optimization</subject><ispartof>PCM--CMM2023: Theories, Models and Simulations of Complex Physical Systems, 2024, Vol.1146, p.74-80</ispartof><rights>The Author(s), under exclusive license to Springer Nature Switzerland AG 2025</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0001-9672-2232 ; 0000-0003-3336-2756 ; 0000-0002-0127-5474 ; 0000-0003-4345-3897</orcidid><relation>Lecture Notes in Networks and Systems</relation></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://ebookcentral.proquest.com/covers/31747196-l.jpg</thumbnail><link.rule.ids>777,778,782,791,27908</link.rule.ids></links><search><contributor>Kciuk, Sławomir</contributor><contributor>Szewczyk, Roman</contributor><contributor>Świtoński, Eugeniusz</contributor><contributor>Mężyk, Arkadiusz</contributor><contributor>Szewczyk, Roman</contributor><contributor>Kciuk, Sławomir</contributor><contributor>Świtoński, Eugeniusz</contributor><contributor>Mężyk, Arkadiusz</contributor><creatorcontrib>Grzywiński, Maksym</creatorcontrib><creatorcontrib>Dede, Tayfun</creatorcontrib><creatorcontrib>Atmaca, Barbaros</creatorcontrib><creatorcontrib>Aslay, Semi E.</creatorcontrib><title>Jaya Algorithm for Optimization of 2D Reinforced Concrete Frame Structure</title><title>PCM--CMM2023: Theories, Models and Simulations of Complex Physical Systems</title><description>Reinforced concrete skeleton frames are preferred for different sizes and types of structures, due to their features such as high strength, durability, and easy fabrication. This study aims to present the efficiency of the Jaya algorithm for determining the optimal design solution for two-dimensional reinforced concrete frame structures. A three-bay, and three-story frame structure is taken as a numerical example. Turkish standard has been taken into account in the design. The Jaya algorithm is a meta-heuristic that is capable of solving both constrained and unconstrained optimization problems. It is a population-based method that repeatedly modifies a population of individual solutions. It is a gradient-free optimization algorithm.</description><subject>frame structure</subject><subject>Jaya algorithm</subject><subject>reinforced concrete</subject><subject>size optimization</subject><issn>2367-3370</issn><issn>2367-3389</issn><isbn>9783031731600</isbn><isbn>3031731603</isbn><isbn>9783031731617</isbn><isbn>3031731611</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2024</creationdate><recordtype>book_chapter</recordtype><recordid>eNpVkEtOwzAQhs1TlNITsMkFAn7bWVaF8qpUCbq3HHfcRrRJcNwFnKZn6clwKUJiMyP9n_7R6EPomuAbgrG6LZTOWY4ZyRUjMk2jjtAgpSxlP5E6Rj3KpMoZ08XJP4bx6R9T-BxdEi4FlboQ9AINuq4qsVCUU8WLHnp5tp82G64WTajicp35Juy20zZW6-rLxqqps8bvtvQue4WqTtDBPBs1tQsQIRsHu4bsLYaNi5sAV-jM21UHg9_dR7Px_Wz0mE-mD0-j4SRvdXrKQ-Gt4JjOS16CJI5wZgV1XgAUDFsQJWdzSR1xfM68xp5YzSUpC10KqQnrI3I427WhqhcQTNk0750h2OzlmaTCMJNkmB9TJslLHXbotKH52EAXDexLDuoY7MotbRshdCYJ5IoU0ihuNGff1kZuiA</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Grzywiński, Maksym</creator><creator>Dede, Tayfun</creator><creator>Atmaca, Barbaros</creator><creator>Aslay, Semi E.</creator><general>Springer</general><general>Springer Nature Switzerland</general><scope>FFUUA</scope><orcidid>https://orcid.org/0000-0001-9672-2232</orcidid><orcidid>https://orcid.org/0000-0003-3336-2756</orcidid><orcidid>https://orcid.org/0000-0002-0127-5474</orcidid><orcidid>https://orcid.org/0000-0003-4345-3897</orcidid></search><sort><creationdate>2024</creationdate><title>Jaya Algorithm for Optimization of 2D Reinforced Concrete Frame Structure</title><author>Grzywiński, Maksym ; Dede, Tayfun ; Atmaca, Barbaros ; Aslay, Semi E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p867-fe9fa5402db4be61c143a52cf5ee930ae5b43d62c1c4d3f80f1a8461b98b56813</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2024</creationdate><topic>frame structure</topic><topic>Jaya algorithm</topic><topic>reinforced concrete</topic><topic>size optimization</topic><toplevel>online_resources</toplevel><creatorcontrib>Grzywiński, Maksym</creatorcontrib><creatorcontrib>Dede, Tayfun</creatorcontrib><creatorcontrib>Atmaca, Barbaros</creatorcontrib><creatorcontrib>Aslay, Semi E.</creatorcontrib><collection>ProQuest Ebook Central - Book Chapters - Demo use only</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Grzywiński, Maksym</au><au>Dede, Tayfun</au><au>Atmaca, Barbaros</au><au>Aslay, Semi E.</au><au>Kciuk, Sławomir</au><au>Szewczyk, Roman</au><au>Świtoński, Eugeniusz</au><au>Mężyk, Arkadiusz</au><au>Szewczyk, Roman</au><au>Kciuk, Sławomir</au><au>Świtoński, Eugeniusz</au><au>Mężyk, Arkadiusz</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Jaya Algorithm for Optimization of 2D Reinforced Concrete Frame Structure</atitle><btitle>PCM--CMM2023: Theories, Models and Simulations of Complex Physical Systems</btitle><seriestitle>Lecture Notes in Networks and Systems</seriestitle><date>2024</date><risdate>2024</risdate><volume>1146</volume><spage>74</spage><epage>80</epage><pages>74-80</pages><issn>2367-3370</issn><eissn>2367-3389</eissn><isbn>9783031731600</isbn><isbn>3031731603</isbn><eisbn>9783031731617</eisbn><eisbn>3031731611</eisbn><abstract>Reinforced concrete skeleton frames are preferred for different sizes and types of structures, due to their features such as high strength, durability, and easy fabrication. This study aims to present the efficiency of the Jaya algorithm for determining the optimal design solution for two-dimensional reinforced concrete frame structures. A three-bay, and three-story frame structure is taken as a numerical example. Turkish standard has been taken into account in the design. The Jaya algorithm is a meta-heuristic that is capable of solving both constrained and unconstrained optimization problems. It is a population-based method that repeatedly modifies a population of individual solutions. It is a gradient-free optimization algorithm.</abstract><cop>Switzerland</cop><pub>Springer</pub><doi>10.1007/978-3-031-73161-7_7</doi><oclcid>1465268952</oclcid><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-9672-2232</orcidid><orcidid>https://orcid.org/0000-0003-3336-2756</orcidid><orcidid>https://orcid.org/0000-0002-0127-5474</orcidid><orcidid>https://orcid.org/0000-0003-4345-3897</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 2367-3370
ispartof PCM--CMM2023: Theories, Models and Simulations of Complex Physical Systems, 2024, Vol.1146, p.74-80
issn 2367-3370
2367-3389
language eng
recordid cdi_proquest_ebookcentralchapters_31747196_74_84
source Springer Books
subjects frame structure
Jaya algorithm
reinforced concrete
size optimization
title Jaya Algorithm for Optimization of 2D Reinforced Concrete Frame Structure
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T17%3A44%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_sprin&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=bookitem&rft.atitle=Jaya%20Algorithm%20for%C2%A0Optimization%20of%C2%A02D%20Reinforced%20Concrete%20Frame%20Structure&rft.btitle=PCM--CMM2023:%20Theories,%20Models%20and%20Simulations%20of%20Complex%20Physical%20Systems&rft.au=Grzywi%C5%84ski,%20Maksym&rft.date=2024&rft.volume=1146&rft.spage=74&rft.epage=80&rft.pages=74-80&rft.issn=2367-3370&rft.eissn=2367-3389&rft.isbn=9783031731600&rft.isbn_list=3031731603&rft_id=info:doi/10.1007/978-3-031-73161-7_7&rft_dat=%3Cproquest_sprin%3EEBC31747196_74_84%3C/proquest_sprin%3E%3Curl%3E%3C/url%3E&rft.eisbn=9783031731617&rft.eisbn_list=3031731611&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC31747196_74_84&rft_id=info:pmid/&rfr_iscdi=true