{"id":"https://openalex.org/W4401940972","doi":"https://doi.org/10.1115/gt2024-121977","title":"Robust Design Optimization of a Compressor Rotor Using Recursive Cokriging Based Multi-Fidelity Uncertainty Quantification and Multi-Fidelity Optimization","display_name":"Robust Design Optimization of a Compressor Rotor Using Recursive Cokriging Based Multi-Fidelity Uncertainty Quantification and Multi-Fidelity Optimization","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4401940972","doi":"https://doi.org/10.1115/gt2024-121977"},"language":"en","primary_location":{"id":"doi:10.1115/gt2024-121977","doi":"https://doi.org/10.1115/gt2024-121977","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1115/gt2024-121977","pdf_url":null,"source":{"id":"https://openalex.org/S4306503524","display_name":"ASME Turbo Expo: Turbomachinery Technical Conference and Exposition (GT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Volume 12D: Turbomachinery \u2014 Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5113352500","display_name":"Marcus Wiegand","orcid":"https://orcid.org/0009-0002-0591-9422","observed_orcids":["https://orcid.org/0009-0002-0591-9422"]},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcus Wiegand","raw_affiliation_strings":["Technische Universit\u00e4t Dresden , Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden , Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022850281","display_name":"Andriy Prots","orcid":"https://orcid.org/0000-0002-6433-4929","observed_orcids":["https://orcid.org/0000-0002-6433-4929"]},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andriy Prots","raw_affiliation_strings":["Technische Universit\u00e4t Dresden , Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden , Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084702924","display_name":"Marcus Meyer","orcid":"https://orcid.org/0000-0003-4527-7815","observed_orcids":["https://orcid.org/0000-0003-4527-7815"]},"institutions":[{"id":"https://openalex.org/I130513772","display_name":"Rolls-Royce (Germany)","ror":"https://ror.org/05jeza980","country_code":"DE","type":"company","lineage":["https://openalex.org/I130513772","https://openalex.org/I866009140"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcus Meyer","raw_affiliation_strings":["Rolls-Royce Deutschland Ltd & Co KG. , Blankenfelde-Mahlow, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rolls-Royce Deutschland Ltd & Co KG. , Blankenfelde-Mahlow, Germany","institution_ids":["https://openalex.org/I130513772"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065050142","display_name":"Robin Schmidt","orcid":"https://orcid.org/0000-0001-5613-8349","observed_orcids":["https://orcid.org/0000-0001-5613-8349"]},"institutions":[{"id":"https://openalex.org/I130513772","display_name":"Rolls-Royce (Germany)","ror":"https://ror.org/05jeza980","country_code":"DE","type":"company","lineage":["https://openalex.org/I130513772","https://openalex.org/I866009140"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robin Schmidt","raw_affiliation_strings":["Rolls-Royce Deutschland Ltd & Co KG. , Blankenfelde-Mahlow, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rolls-Royce Deutschland Ltd & Co KG. , Blankenfelde-Mahlow, Germany","institution_ids":["https://openalex.org/I130513772"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055738170","display_name":"Matthias Voigt","orcid":"https://orcid.org/0000-0002-6868-7342","observed_orcids":["https://orcid.org/0000-0002-6868-7342"]},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Voigt","raw_affiliation_strings":["Technische Universit\u00e4t Dresden , Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden , Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085789692","display_name":"Ronald Mailach","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ronald Mailach","raw_affiliation_strings":["Technische Universit\u00e4t Dresden , Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden , Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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":0.9545999765396118,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9545999765396118,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.04190000146627426,"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/T10944","display_name":"Turbomachinery Performance and Optimization","score":0.0010999999940395355,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/robust-design-optimization","display_name":"robust design optimization","score":1.0},{"id":"https://openalex.org/keywords/compressor-rotor","display_name":"compressor rotor","score":0.9459999799728394},{"id":"https://openalex.org/keywords/multi-fidelity-methods","display_name":"multifidelity methods","score":0.8119999766349792},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"uncertainty quantification","score":0.9850000143051147},{"id":"https://openalex.org/keywords/multi-fidelity-optimization","display_name":"multi-fidelity optimization","score":0.8100000023841858},{"id":"https://openalex.org/keywords/surrogate-modeling","display_name":"surrogate models","score":0.6159999966621399},{"id":"https://openalex.org/keywords/stage-efficiency","display_name":"stage efficiency","score":0.7369999885559082},{"id":"https://openalex.org/keywords/constrained-optimization","display_name":"constrained optimization","score":0.5070000290870667}],"concepts":[{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.6938237547874451},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6219065189361572},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.6061583757400513},{"id":"https://openalex.org/C131097465","wikidata":"https://www.wikidata.org/wiki/Q178898","display_name":"Gas compressor","level":2,"score":0.598311722278595},{"id":"https://openalex.org/C17281054","wikidata":"https://www.wikidata.org/wiki/Q193466","display_name":"Rotor (electric)","level":2,"score":0.5921286344528198},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.5526882410049438},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5075610876083374},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.42477336525917053},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20846110582351685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18313738703727722},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1785108745098114},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.10115766525268555},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1115/gt2024-121977","doi":"https://doi.org/10.1115/gt2024-121977","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1115/gt2024-121977","pdf_url":null,"source":{"id":"https://openalex.org/S4306503524","display_name":"ASME Turbo Expo: Turbomachinery Technical Conference and Exposition (GT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Volume 12D: Turbomachinery \u2014 Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5378999710083008,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4292181419","https://openalex.org/W4400689164","https://openalex.org/W2287739320","https://openalex.org/W4312536472","https://openalex.org/W1543538234","https://openalex.org/W1575180952","https://openalex.org/W3120463316","https://openalex.org/W4312580893","https://openalex.org/W2167242571","https://openalex.org/W2325126151"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"work":[2],"focuses":[3],"on":[4],"the":[5,11,41,48,68,73,144,151,198,219,223,231,236,241,254],"application":[6],"of":[7,15,129,143,150,209,230],"multi-fidelity":[8,85,101,181,220,242],"methods":[9,61,120],"for":[10,218],"robust":[12,19,58,227,250],"design":[13,20,141,224,228,251],"optimization":[14,21,105,229],"engine":[16],"components.":[17],"The":[18,109,118,146,226],"approach":[22,184,221,243],"yields":[23],"geometric":[24],"designs":[25,238],"that":[26,187],"have":[27],"high":[28,131,204],"efficiencies":[29],"and":[30,38,79,83,92,114,139,160,167,216,235],"are":[31,50,89,121,170,178,213],"less":[32],"sensitive":[33],"to":[34,46,66,94,124,196,248],"uncertainties":[35],"from":[36,240],"manufacturing":[37],"wear.":[39],"However,":[40],"uncertainty":[42,77,138,175,182],"quantification":[43,78,176,183,207],"techniques":[44,177,208],"required":[45],"evaluate":[47],"robustness":[49,158],"computationally":[51],"expensive,":[52],"which":[53],"limits":[54],"their":[55],"use":[56],"in":[57,75,222,253],"optimization.":[59,80],"Multi-fidelity":[60],"offer":[62],"a":[63,84,95,100,125,130,157,203],"promising":[64],"solution":[65],"reduce":[67,197],"computational":[69,199],"cost":[70,200],"while":[71,201],"maintaining":[72,202],"accuracy":[74],"both":[76],"A":[81,180],"Kriging":[82],"recursive":[86],"Cokriging":[87],"framework":[88],"developed,":[90],"implemented,":[91],"applied":[93,123],"test":[96,127],"function.":[97],"In":[98,172],"addition,":[99,173],"super":[102],"efficient":[103],"global":[104],"algorithm":[106],"is":[107,111,154,162,185,233],"developed.":[108],"optimizer":[110],"surrogate":[112],"model-based":[113],"can":[115],"handle":[116],"constraints.":[117],"developed":[119,186,215],"then":[122,214],"compressor":[126,133,232],"case":[128],"pressure":[132],"blade":[134],"row":[135],"with":[136,193],"9":[137],"24":[140],"parameters":[142],"geometry.":[145],"2.5":[147],"%":[148],"quantile":[149],"stage":[152],"efficiency":[153],"used":[155,217],"as":[156],"measure":[159],"it":[161],"therefore":[163],"optimized.":[164],"Design":[165],"bounds":[166],"performance":[168,246],"constraints":[169],"applied.":[171],"various":[174],"analyzed.":[179],"combines":[188],"simplified":[189],"coarse-grid":[190],"low-fidelity":[191],"results":[192,195],"high-fidelity":[194],"accuracy.":[205],"Uncertainty":[206],"three":[210],"fidelity":[211],"levels":[212],"space.":[225],"performed":[234],"optimal":[237],"obtained":[239],"show":[244],"superior":[245],"compared":[247],"existing":[249],"optima":[252],"literature.":[255]},"counts_by_year":[],"updated_date":"2026-11-01T11:40:01.658920","created_date":"2024-08-29T00:00:00"}
