{"id":"https://openalex.org/W3021027692","doi":"https://doi.org/10.1115/1.4047173","title":"Physics-Informed Neural Networks for Missing Physics Estimation in Cumulative Damage Models: A Case Study in Corrosion Fatigue","display_name":"Physics-Informed Neural Networks for Missing Physics Estimation in Cumulative Damage Models: A Case Study in Corrosion Fatigue","publication_year":2020,"publication_date":"2020-05-10","ids":{"openalex":"https://openalex.org/W3021027692","doi":"https://doi.org/10.1115/1.4047173","mag":"3021027692"},"language":"en","primary_location":{"id":"doi:10.1115/1.4047173","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4047173","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"Journal of Computing and Information Science in Engineering","raw_type":"journal-article"},"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/A5056333310","display_name":"Arinan Dourado","orcid":"https://orcid.org/0000-0002-0793-9577"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arinan Dourado","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001649611","display_name":"Felipe Viana","orcid":"https://orcid.org/0000-0002-2196-7603"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Felipe A. C. Viana","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":7.5909,"has_fulltext":false,"cited_by_count":124,"citation_normalized_percentile":{"value":0.98455977,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"20","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12560","display_name":"Nuclear Engineering Thermal-Hydraulics","score":0.9945999979972839,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6807529926300049},{"id":"https://openalex.org/keywords/corrosion","display_name":"Corrosion","score":0.4746330976486206},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.417168527841568},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3472188711166382},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2712605595588684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2690846920013428},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.20297259092330933}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6807529926300049},{"id":"https://openalex.org/C20625102","wikidata":"https://www.wikidata.org/wiki/Q137056","display_name":"Corrosion","level":2,"score":0.4746330976486206},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.417168527841568},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3472188711166382},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2712605595588684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2690846920013428},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.20297259092330933},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1115/1.4047173","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4047173","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"Journal of Computing and Information Science in Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310161","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W6472257","https://openalex.org/W151230388","https://openalex.org/W196214544","https://openalex.org/W652869688","https://openalex.org/W821891989","https://openalex.org/W1482953092","https://openalex.org/W1675550390","https://openalex.org/W1680392829","https://openalex.org/W1847088711","https://openalex.org/W1966267801","https://openalex.org/W1970346034","https://openalex.org/W1974188070","https://openalex.org/W1978075626","https://openalex.org/W2003751225","https://openalex.org/W2006576563","https://openalex.org/W2007008305","https://openalex.org/W2012115344","https://openalex.org/W2033800551","https://openalex.org/W2034203008","https://openalex.org/W2047444517","https://openalex.org/W2051319254","https://openalex.org/W2054210406","https://openalex.org/W2057586413","https://openalex.org/W2058903958","https://openalex.org/W2062613656","https://openalex.org/W2064675550","https://openalex.org/W2065455715","https://openalex.org/W2069618247","https://openalex.org/W2070063025","https://openalex.org/W2087179452","https://openalex.org/W2089731252","https://openalex.org/W2097553780","https://openalex.org/W2110242546","https://openalex.org/W2112224109","https://openalex.org/W2112804261","https://openalex.org/W2126450366","https://openalex.org/W2143612262","https://openalex.org/W2151066929","https://openalex.org/W2186910770","https://openalex.org/W2253067657","https://openalex.org/W2293634267","https://openalex.org/W2557283755","https://openalex.org/W2579850834","https://openalex.org/W2605147767","https://openalex.org/W2745110207","https://openalex.org/W2750643767","https://openalex.org/W2756778299","https://openalex.org/W2761605154","https://openalex.org/W2771282360","https://openalex.org/W2785024182","https://openalex.org/W2790033641","https://openalex.org/W2808746463","https://openalex.org/W2893946665","https://openalex.org/W2897063121","https://openalex.org/W2945244602","https://openalex.org/W2953061907","https://openalex.org/W2962757926","https://openalex.org/W2963112935","https://openalex.org/W2963755523","https://openalex.org/W2975859275","https://openalex.org/W2982196160","https://openalex.org/W2985735500","https://openalex.org/W2987198077","https://openalex.org/W2990913701","https://openalex.org/W2995274571","https://openalex.org/W3004823236","https://openalex.org/W3043297920","https://openalex.org/W3111308046","https://openalex.org/W3136688211","https://openalex.org/W4300747261","https://openalex.org/W4379445563","https://openalex.org/W6607974698","https://openalex.org/W6637164833","https://openalex.org/W6637386731","https://openalex.org/W6638824847","https://openalex.org/W6663992135","https://openalex.org/W6681513673","https://openalex.org/W6686890768","https://openalex.org/W6743981104","https://openalex.org/W6748177122","https://openalex.org/W6757787193","https://openalex.org/W6766379538"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2935759653","https://openalex.org/W3105167352","https://openalex.org/W54078636","https://openalex.org/W2954470139","https://openalex.org/W1501425562","https://openalex.org/W2902782467","https://openalex.org/W3084825885","https://openalex.org/W2298861036","https://openalex.org/W2271181815"],"abstract_inverted_index":{"Abstract":[0],"We":[1],"present":[2,64],"a":[3,35,146,164,225],"physics-informed":[4,24,41,103,131,174],"neural":[5,30,132,175],"network":[6,133,176],"modeling":[7],"approach":[8,19],"for":[9,55,110,162,205],"missing":[10,185],"physics":[11,186],"estimation":[12],"in":[13,39,122,189,202],"cumulative":[14,36],"damage":[15,37,123,223],"models.":[16],"This":[17],"hybrid":[18,197],"is":[20,34,61,134,177],"designed":[21],"to":[22,45,63,97,118,126,179,182,207],"merge":[23],"and":[25,51,145,152],"data-driven":[26,52,114],"layers":[27,42,53,104,115],"within":[28],"deep":[29],"networks.":[31],"The":[32,72,130],"result":[33],"model":[38,46,109,198],"which":[40],"are":[43,94,116],"used":[44,62,84,201],"relatively":[47],"well":[48],"understood":[49],"phenomena":[50],"account":[54],"hard-to-model":[56],"physics.":[57],"A":[58],"numerical":[59],"experiment":[60],"the":[65,69,106,120,127,168,173,184,190,196,211,218],"main":[66],"features":[67],"of":[68,76,79,87,139,156,167,187,216,220],"proposed":[70],"framework.":[71],"test":[73],"problem":[74],"consists":[75],"predicting":[77],"corrosion-fatigue":[78],"an":[80],"Al":[81],"2024-T3":[82],"alloy":[83],"on":[85],"panels":[86,93],"aircraft":[88],"wings.":[89],"Besides":[90],"cyclic":[91],"loading,":[92],"also":[95],"subjected":[96],"saline":[98],"corrosion.":[99],"In":[100],"this":[101],"case,":[102],"implement":[105],"well-known":[107],"Walker":[108],"crack":[111],"propagation,":[112],"while":[113],"trained":[117,135],"compensate":[119,183],"bias":[121],"accumulation":[124],"due":[125],"corrosion":[128,188],"effects.":[129],"using":[136],"full":[137],"observation":[138,155],"inputs":[140],"(far-field":[141],"loads,":[142],"stress":[143],"ratio,":[144],"corrosivity":[147],"index":[148],"defined":[149],"per":[150],"airport)":[151],"very":[153],"limited":[154],"outputs":[157],"(crack":[158],"length":[159],"at":[160],"inspection":[161,209],"only":[163],"small":[165],"portion":[166],"fleet).":[169],"Results":[170],"show":[171],"that":[172],"able":[178],"learn":[180],"how":[181],"original":[191],"fatigue":[192],"model.":[193],"Predictions":[194],"from":[195],"can":[199],"be":[200],"fleet":[203,212],"management,":[204],"example,":[206],"prioritize":[208],"across":[210],"or":[213],"forecast":[214],"ahead":[215],"time":[217],"number":[219],"planes":[221],"with":[222],"above":[224],"threshold.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":5}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
