{"id":"https://openalex.org/W219250730","doi":null,"title":"Quantification of Uncertainty in Flow Simulations Using Probabilistic Methods","display_name":"Quantification of Uncertainty in Flow Simulations Using Probabilistic Methods","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W219250730","mag":"219250730"},"language":"en","primary_location":{"id":"mag:219250730","doi":null,"is_oa":false,"landing_page_url":"https://apps.dtic.mil/dtic/tr/fulltext/u2/a568130.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5047377841","display_name":"Gianluca Iaccarino","orcid":"https://orcid.org/0000-0003-3659-7745","observed_orcids":["https://orcid.org/0000-0003-3659-7745"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gianluca Iaccarino","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-3659-7745","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5047377841"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0214,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.71250215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":99},"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":0.9848999977111816,"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":0.9848999977111816,"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/T12560","display_name":"Nuclear Engineering Thermal-Hydraulics","score":0.003100000089034438,"subfield":{"id":"https://openalex.org/subfields/2104","display_name":"Nuclear Energy and Engineering"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.002199999988079071,"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/uncertainty-quantification","display_name":"uncertainty quantification","score":0.9980000257492065},{"id":"https://openalex.org/keywords/flow-simulation","display_name":"flow simulation","score":0.7739999890327454},{"id":"https://openalex.org/keywords/probabilistic-methods","display_name":"probabilistic methods","score":0.9549999833106995},{"id":"https://openalex.org/keywords/numerical-simulation-error","display_name":"numerical simulation error","score":0.5910000205039978},{"id":"https://openalex.org/keywords/confidence-level","display_name":"confidence level","score":0.6060000061988831},{"id":"https://openalex.org/keywords/predictive-power","display_name":"predictive power","score":0.6359999775886536},{"id":"https://openalex.org/keywords/parameter-uncertainty","display_name":"parameter uncertainty","score":0.6779999732971191},{"id":"https://openalex.org/keywords/safety-and-reliability","display_name":"safety and reliability","score":0.8019999861717224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6637896299362183},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.6170640587806702},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6144030094146729},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5636948347091675},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5448564887046814},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.5419834852218628},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.472716748714447},{"id":"https://openalex.org/C2777093003","wikidata":"https://www.wikidata.org/wiki/Q6508345","display_name":"Lead (geology)","level":2,"score":0.4152473211288452},{"id":"https://openalex.org/C177803969","wikidata":"https://www.wikidata.org/wiki/Q29205","display_name":"Uncertainty analysis","level":2,"score":0.41481924057006836},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.30671989917755127},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27018147706985474},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18336501717567444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14228972792625427},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12625500559806824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09721165895462036},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:219250730","doi":null,"is_oa":false,"landing_page_url":"https://apps.dtic.mil/dtic/tr/fulltext/u2/a568130.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W621959553","https://openalex.org/W1496738390","https://openalex.org/W1538934584","https://openalex.org/W1966442722","https://openalex.org/W1973924921","https://openalex.org/W1998213879","https://openalex.org/W2013576021","https://openalex.org/W2018159038","https://openalex.org/W2024866217","https://openalex.org/W2053085259","https://openalex.org/W2070335948","https://openalex.org/W2071310887","https://openalex.org/W2073277625","https://openalex.org/W2086140935","https://openalex.org/W2096045991","https://openalex.org/W2103455761","https://openalex.org/W2120176508","https://openalex.org/W2142863015","https://openalex.org/W2154795818","https://openalex.org/W2170120409","https://openalex.org/W2321957512","https://openalex.org/W2568283272"],"related_works":["https://openalex.org/W2505218756","https://openalex.org/W7100153701","https://openalex.org/W7000110042","https://openalex.org/W201149117","https://openalex.org/W156375206","https://openalex.org/W2136746288","https://openalex.org/W2058174010","https://openalex.org/W4414942427","https://openalex.org/W2614206879","https://openalex.org/W47490523"],"abstract_inverted_index":{"Abstract":[0],":":[1],"In":[2,65],"the":[3,16,26,40,44,91,97,113,122,134],"last":[4],"three":[5],"decades,":[6],"computer":[7],"simulation":[8],"tools":[9],"have":[10,53],"achieved":[11],"wide":[12],"spread":[13],"use":[14],"in":[15,80,112,139],"design":[17,29],"and":[18,31,61,117,136],"analysis":[19],"of":[20,39,43,46,58,67,93,99,115,125,127,133],"engineering":[21],"devices.":[22,129],"This":[23],"has":[24,33],"shortened":[25],"overall":[27],"product":[28],"cycle":[30],"it":[32,71],"also":[34],"provided":[35],"bet-":[36],"ter":[37],"understanding":[38],"operating":[41],"behavior":[42],"systems":[45],"interest.":[47],"As":[48,108],"a":[49,56,105,109],"consequence":[50],"numerical":[51,85,140],"simulations":[52,141],"lead":[54],"to":[55,62,74,96,103,144],"reduction":[57],"physical":[59,106,119],"prototyping":[60],"lower":[63],"costs.":[64],"spite":[66],"this":[68],"considerable":[69],"success,":[70],"remains":[72,121],"difficult":[73],"provide":[75],"objec-":[76],"tive":[77],"confidence":[78],"levels":[79],"quantitative":[81],"information":[82],"obtained":[83],"from":[84,90],"predictions.":[86],"The":[87],"complexity":[88],"arises":[89],"amount":[92],"uncertainties":[94],"related":[95],"inputs":[98],"any":[100],"computation":[101],"attempting":[102],"represent":[104],"system.":[107],"result,":[110],"especially":[111],"area":[114],"reliability":[116],"safety,":[118],"testing":[120],"dominant":[123],"mechanism":[124],"certification":[126],"new":[128],"Rigor-":[130],"ous":[131],"quantification":[132],"errors":[135],"uncertainties1":[137],"introduced":[138],"is":[142],"required":[143],"establish":[145],"objectively":[146],"their":[147],"predictive":[148],"capabilities.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-09-10T07:47:47.112893","created_date":"2016-06-24T00:00:00"}