The multi-objective reliability-based design optimization for structure based on probability and ellipsoidal convex hybrid model
•A new multi-objective reliability-based design optimization method is proposed.•A two-layer nested optimization problem is obtained based on decoupling strategy.•The IP-GA and μMOGA are employed as inner and outer layer optimization operator.•The fine optimization results exhibit the applicability...
Gespeichert in:
| Veröffentlicht in: | Structural safety 2019-03, Vol.77, p.48-56 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 56 |
|---|---|
| container_issue | |
| container_start_page | 48 |
| container_title | Structural safety |
| container_volume | 77 |
| creator | Liu, Xin Fu, Qing Ye, Nanhai Yin, Lairong |
| description | •A new multi-objective reliability-based design optimization method is proposed.•A two-layer nested optimization problem is obtained based on decoupling strategy.•The IP-GA and μMOGA are employed as inner and outer layer optimization operator.•The fine optimization results exhibit the applicability of the present method.
A multi-objective reliability-based design optimization method is proposed based on probabilistic and ellipsoidal convex hybrid model. With reliability index as the constraint, a three-layer nested multi-objective optimization problem is involved. To reduce the computation costs, an efficient decoupling strategy is presented to transform the original problem into a two-layer nested optimization problem. Then the intergeneration projection genetic algorithm and the micro multi-objective genetic algorithm are employed as inner and outer layer optimization operator to solve the multi-objective optimization problem, respectively. Finally, the present method is applied to three numerical examples and the results demonstrate the effectiveness of the present method. |
| doi_str_mv | 10.1016/j.strusafe.2018.11.004 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2176699942</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0167473017304447</els_id><sourcerecordid>2176699942</sourcerecordid><originalsourceid>FETCH-LOGICAL-c340t-7f16c9b10b8047eeffd6af9d20426ee5293ec14c73973c85b174d50efb6fe4793</originalsourceid><addsrcrecordid>eNqFkE1v1DAQhq0KpC6Fv4AscU6wEyeOb6AKClIlLuVs-WPcTpSNF9tZsZz60_Fqy5nTSKP3Y-Yh5D1nLWd8_Di3uaQtmwBtx_jUct4yJq7Ijk9SNX0_DK_IrgplI2TPrsmbnGfG2DB10448PzwB3W9LwSbaGVzBI9AECxqLC5ZTY00GTz1kfFxpPBTc4x9TMK40xETPza5sCehFV9eHFO2LmZrVU1gWPOSI3izUxfUIv-nTySb0dB89LG_J62CWDO9e5g35-fXLw-235v7H3ffbz_eN6wUrjQx8dMpyZicmJEAIfjRB-Y6JbgQYOtWD48LJXsneTYPlUviBQbBjACFVf0M-XHLrfb82yEXPcUtrrdQdl-OolBJdVY0XlUsx5wRBHxLuTTppzvSZtp71P9r6TFtzrivtavx0MUL94YiQdHYIqwOPqVLVPuL_Iv4CU8KP9g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2176699942</pqid></control><display><type>article</type><title>The multi-objective reliability-based design optimization for structure based on probability and ellipsoidal convex hybrid model</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Liu, Xin ; Fu, Qing ; Ye, Nanhai ; Yin, Lairong</creator><creatorcontrib>Liu, Xin ; Fu, Qing ; Ye, Nanhai ; Yin, Lairong</creatorcontrib><description>•A new multi-objective reliability-based design optimization method is proposed.•A two-layer nested optimization problem is obtained based on decoupling strategy.•The IP-GA and μMOGA are employed as inner and outer layer optimization operator.•The fine optimization results exhibit the applicability of the present method.
A multi-objective reliability-based design optimization method is proposed based on probabilistic and ellipsoidal convex hybrid model. With reliability index as the constraint, a three-layer nested multi-objective optimization problem is involved. To reduce the computation costs, an efficient decoupling strategy is presented to transform the original problem into a two-layer nested optimization problem. Then the intergeneration projection genetic algorithm and the micro multi-objective genetic algorithm are employed as inner and outer layer optimization operator to solve the multi-objective optimization problem, respectively. Finally, the present method is applied to three numerical examples and the results demonstrate the effectiveness of the present method.</description><identifier>ISSN: 0167-4730</identifier><identifier>EISSN: 1879-3355</identifier><identifier>DOI: 10.1016/j.strusafe.2018.11.004</identifier><language>eng</language><publisher>Amsterdam: Elsevier Ltd</publisher><subject>Constraint modelling ; Decoupling ; Decoupling strategy ; Design optimization ; Ellipsoidal convex model ; Genetic algorithms ; Goal programming ; Hybrid reliability analysis ; Multi-objective reliability-based design optimization ; Multiple objective analysis ; Probability model ; Statistical analysis</subject><ispartof>Structural safety, 2019-03, Vol.77, p.48-56</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright Elsevier BV 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c340t-7f16c9b10b8047eeffd6af9d20426ee5293ec14c73973c85b174d50efb6fe4793</citedby><cites>FETCH-LOGICAL-c340t-7f16c9b10b8047eeffd6af9d20426ee5293ec14c73973c85b174d50efb6fe4793</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.strusafe.2018.11.004$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Liu, Xin</creatorcontrib><creatorcontrib>Fu, Qing</creatorcontrib><creatorcontrib>Ye, Nanhai</creatorcontrib><creatorcontrib>Yin, Lairong</creatorcontrib><title>The multi-objective reliability-based design optimization for structure based on probability and ellipsoidal convex hybrid model</title><title>Structural safety</title><description>•A new multi-objective reliability-based design optimization method is proposed.•A two-layer nested optimization problem is obtained based on decoupling strategy.•The IP-GA and μMOGA are employed as inner and outer layer optimization operator.•The fine optimization results exhibit the applicability of the present method.
A multi-objective reliability-based design optimization method is proposed based on probabilistic and ellipsoidal convex hybrid model. With reliability index as the constraint, a three-layer nested multi-objective optimization problem is involved. To reduce the computation costs, an efficient decoupling strategy is presented to transform the original problem into a two-layer nested optimization problem. Then the intergeneration projection genetic algorithm and the micro multi-objective genetic algorithm are employed as inner and outer layer optimization operator to solve the multi-objective optimization problem, respectively. Finally, the present method is applied to three numerical examples and the results demonstrate the effectiveness of the present method.</description><subject>Constraint modelling</subject><subject>Decoupling</subject><subject>Decoupling strategy</subject><subject>Design optimization</subject><subject>Ellipsoidal convex model</subject><subject>Genetic algorithms</subject><subject>Goal programming</subject><subject>Hybrid reliability analysis</subject><subject>Multi-objective reliability-based design optimization</subject><subject>Multiple objective analysis</subject><subject>Probability model</subject><subject>Statistical analysis</subject><issn>0167-4730</issn><issn>1879-3355</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqFkE1v1DAQhq0KpC6Fv4AscU6wEyeOb6AKClIlLuVs-WPcTpSNF9tZsZz60_Fqy5nTSKP3Y-Yh5D1nLWd8_Di3uaQtmwBtx_jUct4yJq7Ijk9SNX0_DK_IrgplI2TPrsmbnGfG2DB10448PzwB3W9LwSbaGVzBI9AECxqLC5ZTY00GTz1kfFxpPBTc4x9TMK40xETPza5sCehFV9eHFO2LmZrVU1gWPOSI3izUxfUIv-nTySb0dB89LG_J62CWDO9e5g35-fXLw-235v7H3ffbz_eN6wUrjQx8dMpyZicmJEAIfjRB-Y6JbgQYOtWD48LJXsneTYPlUviBQbBjACFVf0M-XHLrfb82yEXPcUtrrdQdl-OolBJdVY0XlUsx5wRBHxLuTTppzvSZtp71P9r6TFtzrivtavx0MUL94YiQdHYIqwOPqVLVPuL_Iv4CU8KP9g</recordid><startdate>20190301</startdate><enddate>20190301</enddate><creator>Liu, Xin</creator><creator>Fu, Qing</creator><creator>Ye, Nanhai</creator><creator>Yin, Lairong</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T2</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20190301</creationdate><title>The multi-objective reliability-based design optimization for structure based on probability and ellipsoidal convex hybrid model</title><author>Liu, Xin ; Fu, Qing ; Ye, Nanhai ; Yin, Lairong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c340t-7f16c9b10b8047eeffd6af9d20426ee5293ec14c73973c85b174d50efb6fe4793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Constraint modelling</topic><topic>Decoupling</topic><topic>Decoupling strategy</topic><topic>Design optimization</topic><topic>Ellipsoidal convex model</topic><topic>Genetic algorithms</topic><topic>Goal programming</topic><topic>Hybrid reliability analysis</topic><topic>Multi-objective reliability-based design optimization</topic><topic>Multiple objective analysis</topic><topic>Probability model</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Xin</creatorcontrib><creatorcontrib>Fu, Qing</creatorcontrib><creatorcontrib>Ye, Nanhai</creatorcontrib><creatorcontrib>Yin, Lairong</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Structural safety</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Xin</au><au>Fu, Qing</au><au>Ye, Nanhai</au><au>Yin, Lairong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The multi-objective reliability-based design optimization for structure based on probability and ellipsoidal convex hybrid model</atitle><jtitle>Structural safety</jtitle><date>2019-03-01</date><risdate>2019</risdate><volume>77</volume><spage>48</spage><epage>56</epage><pages>48-56</pages><issn>0167-4730</issn><eissn>1879-3355</eissn><abstract>•A new multi-objective reliability-based design optimization method is proposed.•A two-layer nested optimization problem is obtained based on decoupling strategy.•The IP-GA and μMOGA are employed as inner and outer layer optimization operator.•The fine optimization results exhibit the applicability of the present method.
A multi-objective reliability-based design optimization method is proposed based on probabilistic and ellipsoidal convex hybrid model. With reliability index as the constraint, a three-layer nested multi-objective optimization problem is involved. To reduce the computation costs, an efficient decoupling strategy is presented to transform the original problem into a two-layer nested optimization problem. Then the intergeneration projection genetic algorithm and the micro multi-objective genetic algorithm are employed as inner and outer layer optimization operator to solve the multi-objective optimization problem, respectively. Finally, the present method is applied to three numerical examples and the results demonstrate the effectiveness of the present method.</abstract><cop>Amsterdam</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.strusafe.2018.11.004</doi><tpages>9</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0167-4730 |
| ispartof | Structural safety, 2019-03, Vol.77, p.48-56 |
| issn | 0167-4730 1879-3355 |
| language | eng |
| recordid | cdi_proquest_journals_2176699942 |
| source | Elsevier ScienceDirect Journals Complete |
| subjects | Constraint modelling Decoupling Decoupling strategy Design optimization Ellipsoidal convex model Genetic algorithms Goal programming Hybrid reliability analysis Multi-objective reliability-based design optimization Multiple objective analysis Probability model Statistical analysis |
| title | The multi-objective reliability-based design optimization for structure based on probability and ellipsoidal convex hybrid model |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T05%3A30%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20multi-objective%20reliability-based%20design%20optimization%20for%20structure%20based%20on%20probability%20and%20ellipsoidal%20convex%20hybrid%20model&rft.jtitle=Structural%20safety&rft.au=Liu,%20Xin&rft.date=2019-03-01&rft.volume=77&rft.spage=48&rft.epage=56&rft.pages=48-56&rft.issn=0167-4730&rft.eissn=1879-3355&rft_id=info:doi/10.1016/j.strusafe.2018.11.004&rft_dat=%3Cproquest_cross%3E2176699942%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2176699942&rft_id=info:pmid/&rft_els_id=S0167473017304447&rfr_iscdi=true |