Statistical Approximations for Multidisciplinary Design Optimization: The Problem of Size
Despite the steady increase of computing power and speed, the complexity of many of today's engineering analysis codes seems to keep pace with computing advances. Furthermore, the design and development of complex systems typically requires the integration of multiple disciplines and the resolu...
Gespeichert in:
Veröffentlicht in: | Journal of aircraft 1999-01, Vol.36 (1), p.275-286 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 286 |
---|---|
container_issue | 1 |
container_start_page | 275 |
container_title | Journal of aircraft |
container_volume | 36 |
creator | Koch, Patrick N Simpson, Timothy W Allen, Janet K Mistree, Farrokh |
description | Despite the steady increase of computing power and speed, the complexity of many of today's engineering analysis codes seems to keep pace with computing advances. Furthermore, the design and development of complex systems typically requires the integration of multiple disciplines and the resolution of multiple conflicting objectives. |
doi_str_mv | 10.2514/2.2435 |
format | Article |
fullrecord | <record><control><sourceid>proquest_aiaa_</sourceid><recordid>TN_cdi_aiaa_journals_10_2514_2_2435</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>27143324</sourcerecordid><originalsourceid>FETCH-LOGICAL-a340t-8d7a1f14255e95c34237c84c8c76bb3d2788f6675f227a20b5d8d64daef63d3e3</originalsourceid><addsrcrecordid>eNptkF1LwzAYRoMoOKf-hqAg3nSmSfMx78b8hMmEzQuvQtYmmpG1NUlh26-32wRleBV4czg8HADOU9TDNM1ucA9nhB6ATkoJSYhg4hB0EMJpIhjrH4OTEOYIIYE474D3SVTRhmhz5eCgrn21tIv2UpUBmsrDl8ZFW9iQ29rZUvkVvNPBfpRwXEe7sOstegunnxq--mrm9AJWBk7sWp-CI6Nc0Gc_bxe8PdxPh0_JaPz4PByMEkUyFBNRcJWaNMOU6j7NSYYJz0WWi5yz2YwUmAthGOPUYMwVRjNaiIJlhdKGkYJo0gVXO2-7_avRIcpFO1c7p0pdNUFinmaEtEm64GIPnFeNL9ttEiPOMEUU_dpyX4XgtZG1b4P4lUyR3OSVWG7ytuD1DlRWqT-m7a-sCyNN41zUy9iil_-he8Jv7S2Fuw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>207625050</pqid></control><display><type>article</type><title>Statistical Approximations for Multidisciplinary Design Optimization: The Problem of Size</title><source>Alma/SFX Local Collection</source><creator>Koch, Patrick N ; Simpson, Timothy W ; Allen, Janet K ; Mistree, Farrokh</creator><creatorcontrib>Koch, Patrick N ; Simpson, Timothy W ; Allen, Janet K ; Mistree, Farrokh</creatorcontrib><description>Despite the steady increase of computing power and speed, the complexity of many of today's engineering analysis codes seems to keep pace with computing advances. Furthermore, the design and development of complex systems typically requires the integration of multiple disciplines and the resolution of multiple conflicting objectives.</description><identifier>ISSN: 0021-8669</identifier><identifier>EISSN: 1533-3868</identifier><identifier>DOI: 10.2514/2.2435</identifier><language>eng</language><publisher>Virginia: American Institute of Aeronautics and Astronautics</publisher><subject>Design engineering ; Optimization ; Statistical methods</subject><ispartof>Journal of aircraft, 1999-01, Vol.36 (1), p.275-286</ispartof><rights>Copyright American Institute of Aeronautics and Astronautics Jan 1999</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a340t-8d7a1f14255e95c34237c84c8c76bb3d2788f6675f227a20b5d8d64daef63d3e3</citedby><cites>FETCH-LOGICAL-a340t-8d7a1f14255e95c34237c84c8c76bb3d2788f6675f227a20b5d8d64daef63d3e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Koch, Patrick N</creatorcontrib><creatorcontrib>Simpson, Timothy W</creatorcontrib><creatorcontrib>Allen, Janet K</creatorcontrib><creatorcontrib>Mistree, Farrokh</creatorcontrib><title>Statistical Approximations for Multidisciplinary Design Optimization: The Problem of Size</title><title>Journal of aircraft</title><description>Despite the steady increase of computing power and speed, the complexity of many of today's engineering analysis codes seems to keep pace with computing advances. Furthermore, the design and development of complex systems typically requires the integration of multiple disciplines and the resolution of multiple conflicting objectives.</description><subject>Design engineering</subject><subject>Optimization</subject><subject>Statistical methods</subject><issn>0021-8669</issn><issn>1533-3868</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><recordid>eNptkF1LwzAYRoMoOKf-hqAg3nSmSfMx78b8hMmEzQuvQtYmmpG1NUlh26-32wRleBV4czg8HADOU9TDNM1ucA9nhB6ATkoJSYhg4hB0EMJpIhjrH4OTEOYIIYE474D3SVTRhmhz5eCgrn21tIv2UpUBmsrDl8ZFW9iQ29rZUvkVvNPBfpRwXEe7sOstegunnxq--mrm9AJWBk7sWp-CI6Nc0Gc_bxe8PdxPh0_JaPz4PByMEkUyFBNRcJWaNMOU6j7NSYYJz0WWi5yz2YwUmAthGOPUYMwVRjNaiIJlhdKGkYJo0gVXO2-7_avRIcpFO1c7p0pdNUFinmaEtEm64GIPnFeNL9ttEiPOMEUU_dpyX4XgtZG1b4P4lUyR3OSVWG7ytuD1DlRWqT-m7a-sCyNN41zUy9iil_-he8Jv7S2Fuw</recordid><startdate>199901</startdate><enddate>199901</enddate><creator>Koch, Patrick N</creator><creator>Simpson, Timothy W</creator><creator>Allen, Janet K</creator><creator>Mistree, Farrokh</creator><general>American Institute of Aeronautics and Astronautics</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope><scope>U9A</scope></search><sort><creationdate>199901</creationdate><title>Statistical Approximations for Multidisciplinary Design Optimization: The Problem of Size</title><author>Koch, Patrick N ; Simpson, Timothy W ; Allen, Janet K ; Mistree, Farrokh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a340t-8d7a1f14255e95c34237c84c8c76bb3d2788f6675f227a20b5d8d64daef63d3e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Design engineering</topic><topic>Optimization</topic><topic>Statistical methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Koch, Patrick N</creatorcontrib><creatorcontrib>Simpson, Timothy W</creatorcontrib><creatorcontrib>Allen, Janet K</creatorcontrib><creatorcontrib>Mistree, Farrokh</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of aircraft</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Koch, Patrick N</au><au>Simpson, Timothy W</au><au>Allen, Janet K</au><au>Mistree, Farrokh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Statistical Approximations for Multidisciplinary Design Optimization: The Problem of Size</atitle><jtitle>Journal of aircraft</jtitle><date>1999-01</date><risdate>1999</risdate><volume>36</volume><issue>1</issue><spage>275</spage><epage>286</epage><pages>275-286</pages><issn>0021-8669</issn><eissn>1533-3868</eissn><abstract>Despite the steady increase of computing power and speed, the complexity of many of today's engineering analysis codes seems to keep pace with computing advances. Furthermore, the design and development of complex systems typically requires the integration of multiple disciplines and the resolution of multiple conflicting objectives.</abstract><cop>Virginia</cop><pub>American Institute of Aeronautics and Astronautics</pub><doi>10.2514/2.2435</doi><tpages>12</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0021-8669 |
ispartof | Journal of aircraft, 1999-01, Vol.36 (1), p.275-286 |
issn | 0021-8669 1533-3868 |
language | eng |
recordid | cdi_aiaa_journals_10_2514_2_2435 |
source | Alma/SFX Local Collection |
subjects | Design engineering Optimization Statistical methods |
title | Statistical Approximations for Multidisciplinary Design Optimization: The Problem of Size |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T00%3A38%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_aiaa_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Statistical%20Approximations%20for%20Multidisciplinary%20Design%20Optimization:%20The%20Problem%20of%20Size&rft.jtitle=Journal%20of%20aircraft&rft.au=Koch,%20Patrick%20N&rft.date=1999-01&rft.volume=36&rft.issue=1&rft.spage=275&rft.epage=286&rft.pages=275-286&rft.issn=0021-8669&rft.eissn=1533-3868&rft_id=info:doi/10.2514/2.2435&rft_dat=%3Cproquest_aiaa_%3E27143324%3C/proquest_aiaa_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=207625050&rft_id=info:pmid/&rfr_iscdi=true |