{"id":"https://openalex.org/W2958083563","doi":"https://doi.org/10.1115/1.4044243","title":"Efficient Possibilistic Uncertainty Analysis of a Car Crash Scenario Using a Multifidelity Approach","display_name":"Efficient Possibilistic Uncertainty Analysis of a Car Crash Scenario Using a Multifidelity Approach","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2958083563","doi":"https://doi.org/10.1115/1.4044243","mag":"2958083563"},"language":"en","primary_location":{"id":"doi:10.1115/1.4044243","doi":"https://doi.org/10.1115/1.4044243","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4044243","pdf_url":null,"source":{"id":"https://openalex.org/S4210221713","display_name":"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering","issn_l":"2332-9017","issn":["2332-9017","2332-9025"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering","raw_type":"journal-article"},"volume":null,"type":"article","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/A5003382831","display_name":"Markus M\u00e4ck","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus M\u00e4ck","raw_affiliation_strings":["University of Stuttgart Institute of Engineering and Computational Mechanics, , Stuttgart 70569, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Stuttgart Institute of Engineering and Computational Mechanics, , Stuttgart 70569, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057641104","display_name":"Michael Hanss","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Hanss","raw_affiliation_strings":["University of Stuttgart Institute of Engineering and Computational Mechanics, , Stuttgart 70569, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Stuttgart Institute of Engineering and Computational Mechanics, , Stuttgart 70569, Germany","institution_ids":["https://openalex.org/I100066346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I100066346"],"apc_list":null,"apc_paid":null,"fwci":0.8385,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77332899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"5","issue":"4","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":0.9940999746322632,"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":0.9940999746322632,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.002199999988079071,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.0010999999940395355,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-fidelity-modeling","display_name":"multi-fidelity modeling","score":0.7760000228881836},{"id":"https://openalex.org/keywords/possibility-theory","display_name":"possibility theory","score":0.8059999942779541},{"id":"https://openalex.org/keywords/car-crash-simulation","display_name":"car crash simulation","score":0.7070000171661377},{"id":"https://openalex.org/keywords/crumple-zones","display_name":"crumple zones","score":0.9810000061988831},{"id":"https://openalex.org/keywords/error-propagation","display_name":"error propagation","score":0.8240000009536743},{"id":"https://openalex.org/keywords/low-fidelity-models","display_name":"low-fidelity models","score":0.7649999856948853},{"id":"https://openalex.org/keywords/high-fidelity-models","display_name":"high-fidelity models","score":0.7879999876022339},{"id":"https://openalex.org/keywords/computational-cost-reduction","display_name":"computational complexity reduction","score":0.6480000019073486},{"id":"https://openalex.org/keywords/early-design-stage","display_name":"preliminary design","score":0.5989999771118164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6852219104766846},{"id":"https://openalex.org/C177803969","wikidata":"https://www.wikidata.org/wiki/Q29205","display_name":"Uncertainty analysis","level":2,"score":0.6768650412559509},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.6766799688339233},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.5908649563789368},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5480499267578125},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.5408064126968384},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5267435908317566},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5103804469108582},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.509271502494812},{"id":"https://openalex.org/C183469790","wikidata":"https://www.wikidata.org/wiki/Q333501","display_name":"Crash","level":2,"score":0.5048869252204895},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.459416002035141},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4506639242172241},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.26461291313171387},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2254985272884369},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17667743563652039},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16284194588661194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15295404195785522},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1431306004524231},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1115/1.4044243","doi":"https://doi.org/10.1115/1.4044243","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4044243","pdf_url":null,"source":{"id":"https://openalex.org/S4210221713","display_name":"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering","issn_l":"2332-9017","issn":["2332-9017","2332-9025"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering","raw_type":"journal-article"}],"best_oa_location":null,"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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W638943142","https://openalex.org/W1483021615","https://openalex.org/W1504668059","https://openalex.org/W1570826963","https://openalex.org/W1977046327","https://openalex.org/W1992212603","https://openalex.org/W2017489029","https://openalex.org/W2019950953","https://openalex.org/W2025221493","https://openalex.org/W2050829913","https://openalex.org/W2055943585","https://openalex.org/W2060943133","https://openalex.org/W2061938780","https://openalex.org/W2075492136","https://openalex.org/W2080756994","https://openalex.org/W2117079761","https://openalex.org/W2157041604","https://openalex.org/W2169022172","https://openalex.org/W2172614220","https://openalex.org/W2406470551","https://openalex.org/W2598771954","https://openalex.org/W2797148637","https://openalex.org/W2811395263","https://openalex.org/W2929127738","https://openalex.org/W2949498384","https://openalex.org/W2989777419","https://openalex.org/W2990351613","https://openalex.org/W4230588984","https://openalex.org/W4245152641"],"related_works":["https://openalex.org/W2990351613","https://openalex.org/W2782481657","https://openalex.org/W4407598994","https://openalex.org/W2587687672","https://openalex.org/W2929127738","https://openalex.org/W7020889364","https://openalex.org/W2955331628","https://openalex.org/W3113817001","https://openalex.org/W2048649002","https://openalex.org/W7095166006"],"abstract_inverted_index":{"Abstract":[0],"The":[1,85,129,201],"early":[2],"design":[3,49],"stage":[4],"of":[5,26,35,63,73,104,127,140,144,152,196],"mechanical":[6],"structures":[7],"is":[8,79,101,169,204],"often":[9],"characterized":[10],"by":[11,76,81,190],"unknown":[12],"or":[13],"only":[14,192],"partially":[15],"known":[16],"boundary":[17],"conditions":[18],"and":[19,44,66,103,109,149,166,171,218],"environmental":[20],"influences.":[21],"Particularly,":[22],"in":[23,47,173,179,212],"the":[24,31,48,61,70,91,115,121,141,150,160,164,184],"case":[25],"safety-relevant":[27],"components,":[28],"such":[29],"as":[30],"crumple":[32],"zone":[33],"structure":[34],"a":[36,57,99,125,174,180,193],"car,":[37],"those":[38],"uncertainties":[39],"must":[40],"be":[41,96],"appropriately":[42],"quantified":[43],"accounted":[45],"for":[46,60,114,133,183],"process.":[50],"For":[51,157],"this":[52,158],"purpose,":[53,159],"possibility":[54,77],"theory":[55,78],"provides":[56],"suitable":[58],"tool":[59],"modeling":[62],"incomplete":[64],"information":[65],"uncertainty":[67,74,92,116,135,185],"propagation.":[68],"However,":[69],"numerical":[71],"propagation":[72],"described":[75],"accompanied":[80],"high":[82],"computational":[83],"costs.":[84],"necessarily":[86],"repeated":[87],"model":[88,100,148,168,199],"evaluations":[89],"render":[90],"analysis":[93,117,186],"challenging":[94],"to":[95,118,206,214],"realized":[97],"if":[98],"complex":[102],"large":[105],"scale.":[106],"Oftentimes,":[107],"simplified":[108],"idealized":[110],"models":[111],"are":[112],"used":[113],"speed":[119],"up":[120],"simulation":[122],"while":[123,187],"accepting":[124],"loss":[126],"accuracy.":[128],"proposed":[130,202],"multifidelity":[131],"scheme":[132],"possibilistic":[134,175],"analysis,":[136],"instead,":[137],"takes":[138],"advantage":[139],"low":[142,194],"costs":[143],"an":[145,153,207],"inaccurate":[146],"low-fidelity":[147,167],"accuracy":[151,189],"expensive":[154,197],"high-fidelity":[155,198],"model.":[156],"functional":[161],"dependency":[162],"between":[163],"high-":[165],"exploited":[170],"captured":[172],"way.":[176],"This":[177],"results":[178],"significant":[181],"speedup":[182],"ensuring":[188],"using":[191],"number":[195],"evaluations.":[200],"approach":[203],"applied":[205],"automotive":[208],"car":[209],"crash":[210],"scenario":[211],"order":[213],"emphasize":[215],"its":[216],"versatility":[217],"applicability.":[219]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2019-07-23T00:00:00"}
