{"id":"https://openalex.org/W169386992","doi":"https://doi.org/10.17077/etd.9sd20im2","title":"Reliability-based design optimization using surrogate model with assessment of confidence level","display_name":"Reliability-based design optimization using surrogate model with assessment of confidence level","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W169386992","doi":"https://doi.org/10.17077/etd.9sd20im2","mag":"169386992"},"language":"en","primary_location":{"id":"doi:10.17077/etd.9sd20im2","doi":"https://doi.org/10.17077/etd.9sd20im2","is_oa":false,"landing_page_url":"https://doi.org/10.17077/etd.9sd20im2","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"University of Iowa","raw_type":"dissertation"},"volume":null,"type":"dissertation","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://iro.uiowa.edu/view/delivery/01IOWA_INST/12730552520002771/13730818850002771","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102744115","display_name":"Liang Zhao","orcid":"https://orcid.org/0000-0003-3735-936X","observed_orcids":["https://orcid.org/0000-0003-3735-936X","https://orcid.org/0000-0002-2648-9989"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Liang Zhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5102744115"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.008299999870359898,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11046","display_name":"Geotechnical Engineering and Analysis","score":0.0010000000474974513,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/reliability-based-design-optimization","display_name":"reliability-based design optimization","score":0.996999979019165},{"id":"https://openalex.org/keywords/surrogate-modeling","display_name":"surrogate models","score":0.9610000252723694},{"id":"https://openalex.org/keywords/generalized-pattern-search","display_name":"generalized pattern search","score":0.6679999828338623},{"id":"https://openalex.org/keywords/confidence-intervals","display_name":"confidence intervals","score":0.781000018119812},{"id":"https://openalex.org/keywords/chance-constraints","display_name":"chance constraints","score":0.7979999780654907},{"id":"https://openalex.org/keywords/correlation-parameter-estimation","display_name":"correlation parameter estimation","score":0.6679999828338623},{"id":"https://openalex.org/keywords/adaptive-window-size","display_name":"adaptive window size","score":0.5199999809265137},{"id":"https://openalex.org/keywords/sample-reuse","display_name":"sample reuse","score":0.6669999957084656},{"id":"https://openalex.org/keywords/structural-reliability-analysis","display_name":"structural reliability analysis","score":0.4399999976158142}],"concepts":[{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.9531593322753906},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6874294281005859},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5940865278244019},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5670953392982483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5439003705978394},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.503126323223114},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4922880232334137},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.4754445552825928},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.45587295293807983},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.39857903122901917},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28765758872032166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17064577341079712},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1682373583316803},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16123008728027344},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.17077/etd.9sd20im2","doi":"https://doi.org/10.17077/etd.9sd20im2","is_oa":false,"landing_page_url":"https://doi.org/10.17077/etd.9sd20im2","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"University of Iowa","raw_type":"dissertation"},{"id":"pmh:oai:alma.01IOWA_INST:11730552530002771","doi":null,"is_oa":true,"landing_page_url":"https://iro.uiowa.edu/esploro/outputs/doctoral/Reliability-based-design-optimization-using-surrogate-model/9983776893702771","pdf_url":"https://iro.uiowa.edu/view/delivery/01IOWA_INST/12730552520002771/13730818850002771","source":{"id":"https://openalex.org/S4306401239","display_name":"Iowa Research Online (The University of Iowa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I126307644","host_organization_name":"University of Iowa","host_organization_lineage":["https://openalex.org/I126307644"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Doctoral Thesis"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.891.1008","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.891.1008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ir.uiowa.edu/cgi/viewcontent.cgi?article%3D2578%26context%3Detd","raw_type":"text"},{"id":"pmh:oai:ir.uiowa.edu:etd-2578","doi":null,"is_oa":false,"landing_page_url":"https://ir.uiowa.edu/cgi/viewcontent.cgi?article=2578&context=etd","pdf_url":null,"source":{"id":"https://openalex.org/S4377196317","display_name":"Iowa Research Online (University of Iowa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I126307644","host_organization_name":"University of Iowa","host_organization_lineage":["https://openalex.org/I126307644"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Theses and Dissertations","raw_type":"dissertation"}],"best_oa_location":{"id":"pmh:oai:alma.01IOWA_INST:11730552530002771","doi":null,"is_oa":true,"landing_page_url":"https://iro.uiowa.edu/esploro/outputs/doctoral/Reliability-based-design-optimization-using-surrogate-model/9983776893702771","pdf_url":"https://iro.uiowa.edu/view/delivery/01IOWA_INST/12730552520002771/13730818850002771","source":{"id":"https://openalex.org/S4306401239","display_name":"Iowa Research Online (The University of Iowa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I126307644","host_organization_name":"University of Iowa","host_organization_lineage":["https://openalex.org/I126307644"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Doctoral Thesis"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5378999710083008}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W169386992.pdf","grobid_xml":"https://content.openalex.org/works/W169386992.grobid-xml"},"referenced_works_count":105,"referenced_works":["https://openalex.org/W21400349","https://openalex.org/W232805744","https://openalex.org/W592815935","https://openalex.org/W623943994","https://openalex.org/W640545677","https://openalex.org/W650322639","https://openalex.org/W998872291","https://openalex.org/W1488384621","https://openalex.org/W1536491502","https://openalex.org/W1543220323","https://openalex.org/W1550944210","https://openalex.org/W1559956479","https://openalex.org/W1572480955","https://openalex.org/W1595797227","https://openalex.org/W1695563742","https://openalex.org/W1963649399","https://openalex.org/W1967316147","https://openalex.org/W1968371014","https://openalex.org/W1968416356","https://openalex.org/W1973412675","https://openalex.org/W1980144607","https://openalex.org/W1983445134","https://openalex.org/W1984753492","https://openalex.org/W1988146737","https://openalex.org/W1988744163","https://openalex.org/W1993644904","https://openalex.org/W1995565517","https://openalex.org/W1997188340","https://openalex.org/W1998249150","https://openalex.org/W2000836282","https://openalex.org/W2002272403","https://openalex.org/W2009435671","https://openalex.org/W2010069926","https://openalex.org/W2015459991","https://openalex.org/W2015572307","https://openalex.org/W2016670346","https://openalex.org/W2018044188","https://openalex.org/W2025925451","https://openalex.org/W2027792629","https://openalex.org/W2029292629","https://openalex.org/W2030530609","https://openalex.org/W2032177029","https://openalex.org/W2032938274","https://openalex.org/W2033320212","https://openalex.org/W2035006468","https://openalex.org/W2035502795","https://openalex.org/W2038603943","https://openalex.org/W2038669746","https://openalex.org/W2041380261","https://openalex.org/W2044689475","https://openalex.org/W2045263147","https://openalex.org/W2048268443","https://openalex.org/W2048711666","https://openalex.org/W2049600539","https://openalex.org/W2053792421","https://openalex.org/W2053934160","https://openalex.org/W2056706765","https://openalex.org/W2071204941","https://openalex.org/W2078765362","https://openalex.org/W2080735494","https://openalex.org/W2083027289","https://openalex.org/W2087309778","https://openalex.org/W2091309479","https://openalex.org/W2092262344","https://openalex.org/W2092770124","https://openalex.org/W2093229042","https://openalex.org/W2096462449","https://openalex.org/W2105782540","https://openalex.org/W2109899989","https://openalex.org/W2111174809","https://openalex.org/W2112147653","https://openalex.org/W2115620436","https://openalex.org/W2115953820","https://openalex.org/W2116824228","https://openalex.org/W2119814947","https://openalex.org/W2122494659","https://openalex.org/W2123241116","https://openalex.org/W2123562397","https://openalex.org/W2130604969","https://openalex.org/W2131225597","https://openalex.org/W2131733133","https://openalex.org/W2133126194","https://openalex.org/W2135016186","https://openalex.org/W2138570933","https://openalex.org/W2142128101","https://openalex.org/W2142635246","https://openalex.org/W2148514950","https://openalex.org/W2151632070","https://openalex.org/W2156677085","https://openalex.org/W2156716810","https://openalex.org/W2160743955","https://openalex.org/W2164667965","https://openalex.org/W2168491582","https://openalex.org/W2168740949","https://openalex.org/W2180463277","https://openalex.org/W2306837935","https://openalex.org/W2315411895","https://openalex.org/W2319488728","https://openalex.org/W2319843510","https://openalex.org/W2334115742","https://openalex.org/W2572331846","https://openalex.org/W2890351024","https://openalex.org/W3149745985","https://openalex.org/W4239510810","https://openalex.org/W4247680473"],"related_works":["https://openalex.org/W3186627879","https://openalex.org/W1984204070","https://openalex.org/W3133763041","https://openalex.org/W2047742635","https://openalex.org/W2160895881","https://openalex.org/W4294691168","https://openalex.org/W3084133043","https://openalex.org/W3120164448","https://openalex.org/W2983410138","https://openalex.org/W41424113"],"abstract_inverted_index":{"The":[0,92],"objective":[1],"of":[2,15,24,43,56,67,83,112,151,225,232,324,427,434],"this":[3,247,266],"study":[4],"is":[5,216,236,257,274,290,332,436,459],"to":[6,19,52,79,143,157,173,187,207,219,259,276,372,439],"develop":[7],"an":[8,36],"accurate":[9,135,279,352],"surrogate":[10,17,45,50,99,107,136,141,171,185,214,234,262,326,353,370,388,410,429,452],"modeling":[11,100,108],"method":[12,38,101,123,168,256,338],"for":[13,39,114,134,239,281,387,394,409,418,463],"construction":[14],"the":[16,21,25,40,44,54,57,60,65,76,81,85,89,105,131,145,149,152,158,166,170,175,190,198,202,213,221,226,230,233,252,261,278,282,286,293,304,321,325,329,336,340,343,351,355,360,369,402,425,428,432,441,447,455],"model":[18,28,46,51,142,172,186,215,224,235,263,327,411,430],"represent":[20,220],"performance":[22,176,191,227],"measures":[23],"compute-intensive":[26,222],"simulation":[27,223],"in":[29,110,117,161,178,193,401],"reliability-based":[30],"design":[31,62,132,159,396,444],"optimization":[32],"(RBDO).":[33],"In":[34,246,265,367],"addition,":[35],"assessment":[37],"confidence":[41,82,322],"level":[42],"and":[47,73,126,148,196,242,285,345,359,375,438,461],"a":[48,97,121,140,183,208,249,269,300,310,315,450],"conservative":[49,184,451],"account":[53],"uncertainty":[55],"prediction":[58],"on":[59,309,320],"untested":[61],"domain":[63,133],"when":[64,431],"number":[66,433],"samples":[68,129,400,435],"are":[69,71,297,422],"limited,":[70,437],"developed":[72],"integrated":[74],"into":[75,130],"RBDO":[77,195,206,358,362,374],"process":[78],"ensure":[80],"satisfying":[84],"probabilistic":[86,146,153,203,448],"constraints":[87,408],"at":[88],"optimal":[90,287],"design.":[91],"effort":[93],"involves:":[94],"(1)":[95,383],"developing":[96,120],"new":[98,250,311],"that":[102,124,296],"can":[103,347,363,445],"outperform":[104],"existing":[106],"methods":[109],"terms":[111],"accuracy":[113,231,312,346,412,426],"reliability":[115],"analysis":[116],"RBDO;":[118,163,180],"(2)":[119,390],"sampling":[122,167,317,337],"efficiently":[125],"effectively":[127],"inserts":[128],"modeling;":[137,389],"(3)":[138,398,414],"generating":[139,182],"approximate":[144,174,189],"constraint":[147,154],"sensitivity":[150],"with":[155,169,339],"respect":[156],"variables":[160],"most-probable-point-based":[162],"(4)":[164,405],"using":[165,292,384,406,454],"function":[177,192],"sampling-based":[179,194,361,376,464],"(5)":[181],"conservatively":[188],"assure":[197,424,440],"obtained":[199,442],"optimum":[200,280,443],"satisfy":[201,446],"constraints.\\nIn":[204],"applying":[205,368],"large-scale":[209],"complex":[210],"engineering":[211],"application,":[212],"commonly":[217],"used":[218,275],"function.":[228],"However,":[229],"still":[237],"challenging":[238],"highly":[240],"nonlinear":[241],"large":[243],"dimension":[244],"applications.":[245],"work,":[248],"method,":[251,268,331,342],"Dynamic":[253],"Kriging":[254,457],"(DKG)":[255],"proposed":[258],"construct":[260],"accurately.":[264],"DKG":[267,330,341],"generalized":[270],"pattern":[271],"search":[272],"algorithm":[273,302],"find":[277],"correlation":[283,419],"parameter,":[284],"mean":[288],"structure":[289],"set":[291],"basis":[294,306],"functions":[295,307],"selected":[298],"by":[299],"genetic":[301],"from":[303,328],"candidate":[305],"based":[308,319],"criterion.":[313],"Plus,":[314],"sequential":[316],"strategy":[318],"interval":[323],"proposed.":[333],"By":[334],"combining":[335],"efficiency":[344,379],"be":[348,364],"rapidly":[349],"achieved.\\nUsing":[350],"model,":[354,453],"most-probable-point":[356],"(MPP)-based":[357],"carried":[365],"out.":[366],"models":[371],"MPP-based":[373],"RBDO,":[377],"several":[378],"strategies,":[380],"which":[381],"include:":[382],"local":[385,403],"window":[386,392],"adaptive":[391,415],"size":[393],"different":[395],"candidates;":[397],"reusing":[399],"window;":[404],"violated":[407],"check;":[413],"initial":[416],"point":[417],"parameter":[420],"estimation,":[421],"proposed.\\nTo":[423],"constraints,":[449],"weighted":[456],"variance,":[458],"developed,":[460],"implemented":[462],"RBDO.":[465]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-11-01T11:40:01.658920","created_date":"2016-06-24T00:00:00"}