Assessment of algorithms for the probabilistic optimisation of composite panels
This report investigates the utility of leading optimisation algorithms for the probabilistic optimisation of composite stiffened panels. Suitable algorithms were selected and applied to a mono-stringer subject to uncertainties in deterministic, robust-design and hybrid robust-reliable design formul...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 1 |
| container_start_page | |
| container_title | |
| container_volume | 2309 |
| creator | Qureshi, Marij Yoo, Kwangkyu Aliabadi, M. H. Ferri |
| description | This report investigates the utility of leading optimisation algorithms for the probabilistic optimisation of composite stiffened panels. Suitable algorithms were selected and applied to a mono-stringer subject to uncertainties in deterministic, robust-design and hybrid robust-reliable design formulations. Gradient, direct, evolutionary, genetic algorithm and combined algorithms were then rigorously compared for both speed and convergence properties. For simpler problems such as deterministic design, direct methods were found to dominate in both speed and accuracy. However, as problem complexity increased, exploratory methods were increasingly found to be superior for locating global optima. The recommendation for future research is therefore, to utilise hybrid uncertainty-based optimisation with a multi-island genetic algorithm to efficiently find lighter, stronger and more consistently performing designs for aircraft structures. |
| doi_str_mv | 10.1063/5.0034767 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>proquest_scita</sourceid><recordid>TN_cdi_scitation_primary_10_1063_5_0034767</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2465562274</sourcerecordid><originalsourceid>FETCH-LOGICAL-p2037-f05abcef0d79f696c36fa5e8fec10f90292b6ff27de32101d6d3e8383d68fd583</originalsourceid><addsrcrecordid>eNp9kE1LxDAURYMoOI4u_AcFd0LHl6RJ2uUw-AUDs1FwF9ImcTK0Te3LCP57O47gztXdnPve4RJyTWFBQfI7sQDghZLqhMyoEDRXkspTMgOoipwV_O2cXCDuAFilVDkjmyWiQ-xcn7LoM9O-xzGkbYeZj2OWti4bxlibOrQBU2iyOKTQBTQpxP5QaGI3RAxp4kzvWrwkZ9606K5-c05eH-5fVk_5evP4vFqu84EBV7kHYerGebCq8rKSDZfeCFd611Dw1WTHauk9U9ZxRoFaabkrecmtLL0VJZ-Tm-PdSe9j7zDpXdyP_fRSs0IKIRlTxUTdHilsQvpx1sMYOjN-aQr6MJgW-new_-DPOP6BerCefwPqS20Z</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>2465562274</pqid></control><display><type>conference_proceeding</type><title>Assessment of algorithms for the probabilistic optimisation of composite panels</title><source>AIP Journals Complete</source><creator>Qureshi, Marij ; Yoo, Kwangkyu ; Aliabadi, M. H. Ferri</creator><contributor>Rodríguez-Tembleque, Luis ; Aliabadi, Ferri M. H.</contributor><creatorcontrib>Qureshi, Marij ; Yoo, Kwangkyu ; Aliabadi, M. H. Ferri ; Rodríguez-Tembleque, Luis ; Aliabadi, Ferri M. H.</creatorcontrib><description>This report investigates the utility of leading optimisation algorithms for the probabilistic optimisation of composite stiffened panels. Suitable algorithms were selected and applied to a mono-stringer subject to uncertainties in deterministic, robust-design and hybrid robust-reliable design formulations. Gradient, direct, evolutionary, genetic algorithm and combined algorithms were then rigorously compared for both speed and convergence properties. For simpler problems such as deterministic design, direct methods were found to dominate in both speed and accuracy. However, as problem complexity increased, exploratory methods were increasingly found to be superior for locating global optima. The recommendation for future research is therefore, to utilise hybrid uncertainty-based optimisation with a multi-island genetic algorithm to efficiently find lighter, stronger and more consistently performing designs for aircraft structures.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/5.0034767</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Aircraft design ; Aircraft performance ; Aircraft structures ; Evolutionary algorithms ; Genetic algorithms ; Optimization ; Panels ; Robust design ; Robustness ; Stringers ; Uncertainty</subject><ispartof>AIP conference proceedings, 2020, Vol.2309 (1)</ispartof><rights>Author(s)</rights><rights>2020 Author(s). Published by AIP Publishing.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://pubs.aip.org/acp/article-lookup/doi/10.1063/5.0034767$$EHTML$$P50$$Gscitation$$H</linktohtml><link.rule.ids>309,310,314,780,784,789,790,794,4512,23930,23931,25140,27924,27925,76256</link.rule.ids></links><search><contributor>Rodríguez-Tembleque, Luis</contributor><contributor>Aliabadi, Ferri M. H.</contributor><creatorcontrib>Qureshi, Marij</creatorcontrib><creatorcontrib>Yoo, Kwangkyu</creatorcontrib><creatorcontrib>Aliabadi, M. H. Ferri</creatorcontrib><title>Assessment of algorithms for the probabilistic optimisation of composite panels</title><title>AIP conference proceedings</title><description>This report investigates the utility of leading optimisation algorithms for the probabilistic optimisation of composite stiffened panels. Suitable algorithms were selected and applied to a mono-stringer subject to uncertainties in deterministic, robust-design and hybrid robust-reliable design formulations. Gradient, direct, evolutionary, genetic algorithm and combined algorithms were then rigorously compared for both speed and convergence properties. For simpler problems such as deterministic design, direct methods were found to dominate in both speed and accuracy. However, as problem complexity increased, exploratory methods were increasingly found to be superior for locating global optima. The recommendation for future research is therefore, to utilise hybrid uncertainty-based optimisation with a multi-island genetic algorithm to efficiently find lighter, stronger and more consistently performing designs for aircraft structures.</description><subject>Aircraft design</subject><subject>Aircraft performance</subject><subject>Aircraft structures</subject><subject>Evolutionary algorithms</subject><subject>Genetic algorithms</subject><subject>Optimization</subject><subject>Panels</subject><subject>Robust design</subject><subject>Robustness</subject><subject>Stringers</subject><subject>Uncertainty</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2020</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNp9kE1LxDAURYMoOI4u_AcFd0LHl6RJ2uUw-AUDs1FwF9ImcTK0Te3LCP57O47gztXdnPve4RJyTWFBQfI7sQDghZLqhMyoEDRXkspTMgOoipwV_O2cXCDuAFilVDkjmyWiQ-xcn7LoM9O-xzGkbYeZj2OWti4bxlibOrQBU2iyOKTQBTQpxP5QaGI3RAxp4kzvWrwkZ9606K5-c05eH-5fVk_5evP4vFqu84EBV7kHYerGebCq8rKSDZfeCFd611Dw1WTHauk9U9ZxRoFaabkrecmtLL0VJZ-Tm-PdSe9j7zDpXdyP_fRSs0IKIRlTxUTdHilsQvpx1sMYOjN-aQr6MJgW-new_-DPOP6BerCefwPqS20Z</recordid><startdate>20201126</startdate><enddate>20201126</enddate><creator>Qureshi, Marij</creator><creator>Yoo, Kwangkyu</creator><creator>Aliabadi, M. H. Ferri</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20201126</creationdate><title>Assessment of algorithms for the probabilistic optimisation of composite panels</title><author>Qureshi, Marij ; Yoo, Kwangkyu ; Aliabadi, M. H. Ferri</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p2037-f05abcef0d79f696c36fa5e8fec10f90292b6ff27de32101d6d3e8383d68fd583</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aircraft design</topic><topic>Aircraft performance</topic><topic>Aircraft structures</topic><topic>Evolutionary algorithms</topic><topic>Genetic algorithms</topic><topic>Optimization</topic><topic>Panels</topic><topic>Robust design</topic><topic>Robustness</topic><topic>Stringers</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Qureshi, Marij</creatorcontrib><creatorcontrib>Yoo, Kwangkyu</creatorcontrib><creatorcontrib>Aliabadi, M. H. Ferri</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Qureshi, Marij</au><au>Yoo, Kwangkyu</au><au>Aliabadi, M. H. Ferri</au><au>Rodríguez-Tembleque, Luis</au><au>Aliabadi, Ferri M. H.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Assessment of algorithms for the probabilistic optimisation of composite panels</atitle><btitle>AIP conference proceedings</btitle><date>2020-11-26</date><risdate>2020</risdate><volume>2309</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>This report investigates the utility of leading optimisation algorithms for the probabilistic optimisation of composite stiffened panels. Suitable algorithms were selected and applied to a mono-stringer subject to uncertainties in deterministic, robust-design and hybrid robust-reliable design formulations. Gradient, direct, evolutionary, genetic algorithm and combined algorithms were then rigorously compared for both speed and convergence properties. For simpler problems such as deterministic design, direct methods were found to dominate in both speed and accuracy. However, as problem complexity increased, exploratory methods were increasingly found to be superior for locating global optima. The recommendation for future research is therefore, to utilise hybrid uncertainty-based optimisation with a multi-island genetic algorithm to efficiently find lighter, stronger and more consistently performing designs for aircraft structures.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/5.0034767</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0094-243X |
| ispartof | AIP conference proceedings, 2020, Vol.2309 (1) |
| issn | 0094-243X 1551-7616 |
| language | eng |
| recordid | cdi_scitation_primary_10_1063_5_0034767 |
| source | AIP Journals Complete |
| subjects | Aircraft design Aircraft performance Aircraft structures Evolutionary algorithms Genetic algorithms Optimization Panels Robust design Robustness Stringers Uncertainty |
| title | Assessment of algorithms for the probabilistic optimisation of composite panels |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T00%3A36%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_scita&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Assessment%20of%20algorithms%20for%20the%20probabilistic%20optimisation%20of%20composite%20panels&rft.btitle=AIP%20conference%20proceedings&rft.au=Qureshi,%20Marij&rft.date=2020-11-26&rft.volume=2309&rft.issue=1&rft.issn=0094-243X&rft.eissn=1551-7616&rft.coden=APCPCS&rft_id=info:doi/10.1063/5.0034767&rft_dat=%3Cproquest_scita%3E2465562274%3C/proquest_scita%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2465562274&rft_id=info:pmid/&rfr_iscdi=true |