{"id":"https://openalex.org/W2995379698","doi":"https://doi.org/10.1177/0956059919893212","title":"Effect of the number of design variables in thickness optimization of concrete barrel roof shells using evolutionary algorithms","display_name":"Effect of the number of design variables in thickness optimization of concrete barrel roof shells using evolutionary algorithms","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2995379698","doi":"https://doi.org/10.1177/0956059919893212","mag":"2995379698"},"language":"en","primary_location":{"id":"doi:10.1177/0956059919893212","doi":"https://doi.org/10.1177/0956059919893212","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0956059919893212","pdf_url":null,"source":{"id":"https://openalex.org/S170156948","display_name":"International Journal of Space Structures","issn_l":"0266-3511","issn":["0266-3511","0956-0599","2059-8033"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Space Structures","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024891978","display_name":"Shadi Ostovari Dailamani","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I82284825","display_name":"Cranfield University","ror":"https://ror.org/05cncd958","country_code":"GB","type":"education","lineage":["https://openalex.org/I82284825"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Shadi Ostovari","raw_affiliation_strings":["Cranfield University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cranfield University, UK","institution_ids":["https://openalex.org/I82284825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074297397","display_name":"Hooman Shayani","orcid":"https://orcid.org/0009-0001-8790-0938","observed_orcids":["https://orcid.org/0009-0001-8790-0938"]},"institutions":[{"id":"https://openalex.org/I4210104522","display_name":"Autodesk (United Kingdom)","ror":"https://ror.org/01dzqde20","country_code":"GB","type":"company","lineage":["https://openalex.org/I1286353243","https://openalex.org/I4210104522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hooman Shayani","raw_affiliation_strings":["Autodesk Research, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Autodesk Research, UK","institution_ids":["https://openalex.org/I4210104522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024891978"],"corresponding_institution_ids":["https://openalex.org/I82284825"],"apc_list":{"value":3900,"currency":"USD","value_usd":3900},"apc_paid":null,"fwci":0.1761,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51678027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"34","issue":"3-4","first_page":"74","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11115","display_name":"Topology Optimization in Engineering","score":0.4733999967575073,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11115","display_name":"Topology Optimization in Engineering","score":0.4733999967575073,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.3458999991416931,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13518","display_name":"Architecture and Computational Design","score":0.133200004696846,"subfield":{"id":"https://openalex.org/subfields/2216","display_name":"Architecture"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/thickness-optimization","display_name":"thickness optimization","score":0.8069999814033508},{"id":"https://openalex.org/keywords/evolutionary-algorithms","display_name":"evolutionary algorithms","score":0.878000020980835},{"id":"https://openalex.org/keywords/design-representation","display_name":"design representation","score":0.7689999938011169},{"id":"https://openalex.org/keywords/parametric-representation","display_name":"parametric representation","score":0.8360000252723694},{"id":"https://openalex.org/keywords/direct-representation","display_name":"direct representation","score":0.871999979019165},{"id":"https://openalex.org/keywords/snow-load","display_name":"snow load","score":0.8489999771118164},{"id":"https://openalex.org/keywords/earthquake-response-spectrum","display_name":"earthquake response spectrum","score":0.8489999771118164},{"id":"https://openalex.org/keywords/self-weight","display_name":"self-weight","score":0.7160000205039978}],"concepts":[{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6449849605560303},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6263799667358398},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5724684000015259},{"id":"https://openalex.org/C2776748203","wikidata":"https://www.wikidata.org/wiki/Q83180","display_name":"Roof","level":2,"score":0.517414927482605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4828777611255646},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4813578724861145},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.46365082263946533},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4590005874633789},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4456789195537567},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2733760476112366},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26155540347099304},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10457515716552734},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0956059919893212","doi":"https://doi.org/10.1177/0956059919893212","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0956059919893212","pdf_url":null,"source":{"id":"https://openalex.org/S170156948","display_name":"International Journal of Space Structures","issn_l":"0266-3511","issn":["0266-3511","0956-0599","2059-8033"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Space Structures","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W181733065","https://openalex.org/W1595498733","https://openalex.org/W1710288077","https://openalex.org/W1831950995","https://openalex.org/W1879678483","https://openalex.org/W1968446091","https://openalex.org/W1985216817","https://openalex.org/W1986458595","https://openalex.org/W2010701951","https://openalex.org/W2024332497","https://openalex.org/W2036257406","https://openalex.org/W2072871886","https://openalex.org/W2096154525","https://openalex.org/W2104805479","https://openalex.org/W2165914970","https://openalex.org/W2173397740","https://openalex.org/W2258109763","https://openalex.org/W2335830367","https://openalex.org/W2529415570","https://openalex.org/W2766845069","https://openalex.org/W4255867308","https://openalex.org/W4300044275","https://openalex.org/W4301935173"],"related_works":["https://openalex.org/W409643770","https://openalex.org/W4385979416","https://openalex.org/W2022163353","https://openalex.org/W4404384813","https://openalex.org/W1493104819","https://openalex.org/W4399269624","https://openalex.org/W4206079749","https://openalex.org/W2899061751","https://openalex.org/W59397532","https://openalex.org/W7039412775"],"abstract_inverted_index":{"This":[0,32],"study":[1,33],"looks":[2],"into":[3],"some":[4],"practical":[5,72],"implications":[6],"of":[7,13,19,29,42,49,54,76,88,105,110,116,133],"using":[8],"evolutionary":[9],"algorithms":[10],"for":[11,21,125],"optimization":[12,53],"free-form":[14],"concrete":[15],"shells":[16],"in":[17],"search":[18],"methods":[20,89],"automating":[22],"design":[23,30,112,129],"representation":[24,130],"and":[25,37,66,74,80,85,113,119,131],"determining":[26],"the":[27,35,47,103,108,111,114,117,127],"number":[28,48,104,132],"variables.":[31],"reports":[34],"insights":[36],"learnings":[38],"from":[39],"a":[40,55,86,121],"set":[41],"numerical":[43],"experiments,":[44],"by":[45],"changing":[46,102],"parameters,":[50],"on":[51],"thickness":[52],"barrel":[56],"roof":[57],"shell":[58],"subjected":[59],"to":[60],"self-weight,":[61],"an":[62,67],"additional":[63],"snow":[64],"load,":[65],"earthquake":[68],"response":[69],"spectrum.":[70],"The":[71,98],"advantages":[73],"challenges":[75],"two":[77,92],"methods,":[78],"parametric":[79],"direct":[81],"representations,":[82],"are":[83,94],"analysed,":[84],"spectrum":[87,137],"between":[90],"these":[91],"extremes":[93],"investigated":[95],"through":[96],"experiments.":[97],"results":[99],"demonstrate":[100],"how":[101],"variables":[106,134],"affects":[107],"quality":[109],"performance":[115],"algorithm":[118],"why":[120],"systematic":[122],"problem-dependent":[123],"method":[124],"finding":[126],"best":[128],"outside":[135],"this":[136],"can":[138],"be":[139],"beneficial.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2019-12-26T00:00:00"}