乐胖代购免代理版

{"id":"https://openalex.org/W2991879737","doi":"https://doi.org/10.47839/ijc.5.3.406","title":"PREDICTION OF FATIGUE CRACK GROWTH PROCESS VIA ARTIFICIAL NEURAL NETWORK TECHNIQUE","display_name":"PREDICTION OF FATIGUE CRACK GROWTH PROCESS VIA ARTIFICIAL NEURAL NETWORK TECHNIQUE","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2991879737","doi":"https://doi.org/10.47839/ijc.5.3.406","mag":"2991879737"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.47839/ijc.5.3.406","pdf_url":"https://computingonline.net/computing/article/download/406/376","source":{"id":"https://openalex.org/S2764977685","display_name":"International Journal of Computing","issn_l":"1727-6209","issn":["1727-6209","2312-5381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4362643881","host_organization_name":"Research Institute of Intelligent Computer Systems","host_organization_lineage":["https://openalex.org/P4362643881"],"host_organization_lineage_names":["Research Institute of Intelligent Computer Systems"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://computingonline.net/computing/article/download/406/376","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064436833","display_name":"Konstantin N. Nechval","orcid":"https://orcid.org/0009-0003-1876-5933"},"institutions":[{"id":"https://openalex.org/I24568809","display_name":"Transport and Telecommunication Institute","ror":"https://ror.org/01628w679","country_code":"LV","type":"education","lineage":["https://openalex.org/I24568809"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"Konstantin N. Nechval","raw_affiliation_strings":[") Applied Mathematics Dept, Transport Institute, Lomonosov Street 1, LV-1019, Riga, Latvia,"],"affiliations":[{"raw_affiliation_string":") Applied Mathematics Dept, Transport Institute, Lomonosov Street 1, LV-1019, Riga, Latvia,","institution_ids":["https://openalex.org/I24568809"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075186748","display_name":"Nicholas A. Nechval","orcid":null},"institutions":[{"id":"https://openalex.org/I91123046","display_name":"University of Latvia","ror":"https://ror.org/05g3mes96","country_code":"LV","type":"education","lineage":["https://openalex.org/I91123046"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"Nicholas A. Nechval","raw_affiliation_strings":[") Mathematical Statistics Dept, University of Latvia, Raina Blvd 19, LV-1050, Riga, Latvia,"],"affiliations":[{"raw_affiliation_string":") Mathematical Statistics Dept, University of Latvia, Raina Blvd 19, LV-1050, Riga, Latvia,","institution_ids":["https://openalex.org/I91123046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036207853","display_name":"Irina Bausova","orcid":null},"institutions":[{"id":"https://openalex.org/I91123046","display_name":"University of Latvia","ror":"https://ror.org/05g3mes96","country_code":"LV","type":"education","lineage":["https://openalex.org/I91123046"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"Irina Bausova","raw_affiliation_strings":[") Cybernetics Department, University of Latvia, Raina Blvd 19, LV-1050, Riga, Latvia,"],"affiliations":[{"raw_affiliation_string":") Cybernetics Department, University of Latvia, Raina Blvd 19, LV-1050, Riga, Latvia,","institution_ids":["https://openalex.org/I91123046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006665905","display_name":"Daina \u0160\u0137iltere","orcid":"https://orcid.org/0000-0003-2870-4002"},"institutions":[{"id":"https://openalex.org/I91123046","display_name":"University of Latvia","ror":"https://ror.org/05g3mes96","country_code":"LV","type":"education","lineage":["https://openalex.org/I91123046"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"Daina Skiltere","raw_affiliation_strings":[") Cybernetics Department, University of Latvia, Raina Blvd 19, LV-1050, Riga, Latvia,"],"affiliations":[{"raw_affiliation_string":") Cybernetics Department, University of Latvia, Raina Blvd 19, LV-1050, Riga, Latvia,","institution_ids":["https://openalex.org/I91123046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021317033","display_name":"Vladimir F. Strelchonok","orcid":null},"institutions":[{"id":"https://openalex.org/I3132731249","display_name":"Baltic International Academy","ror":"https://ror.org/02r52cf76","country_code":"LV","type":"education","lineage":["https://openalex.org/I3132731249"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"Vladimir F. Strelchonok","raw_affiliation_strings":[") Informatics Dept, Baltic International Academy, Lomonosov Street 4, LV-1019, Riga, Latvia,"],"affiliations":[{"raw_affiliation_string":") Informatics Dept, Baltic International Academy, Lomonosov Street 4, LV-1019, Riga, Latvia,","institution_ids":["https://openalex.org/I3132731249"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":4,"citation_normalized_percentile":{"value":0.728806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":79,"max":81},"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"32"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.997,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.997,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T13928","display_name":"Advanced Sensor Technologies Research","score":0.9927,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9895,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/paris-law","display_name":"Paris' law","score":0.7242563}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.77892745},{"id":"https://openalex.org/C69809600","wikidata":"https://www.wikidata.org/wiki/Q7137166","display_name":"Paris' law","level":4,"score":0.7242563},{"id":"https://openalex.org/C167740415","wikidata":"https://www.wikidata.org/wiki/Q2876213","display_name":"Aerospace","level":2,"score":0.6498278},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5785158},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5719219},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5196487},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4324154},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.430484},{"id":"https://openalex.org/C2985278600","wikidata":"https://www.wikidata.org/wiki/Q65051469","display_name":"Fatigue testing","level":2,"score":0.422965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3600978},{"id":"https://openalex.org/C59085676","wikidata":"https://www.wikidata.org/wiki/Q957852","display_name":"Fracture mechanics","level":2,"score":0.2742591},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26171607},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24699709},{"id":"https://openalex.org/C75512024","wikidata":"https://www.wikidata.org/wiki/Q17009280","display_name":"Crack closure","level":3,"score":0.12620509},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.07900086},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.47839/ijc.5.3.406","pdf_url":"https://computingonline.net/computing/article/download/406/376","source":{"id":"https://openalex.org/S2764977685","display_name":"International Journal of Computing","issn_l":"1727-6209","issn":["1727-6209","2312-5381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4362643881","host_organization_name":"Research Institute of Intelligent Computer Systems","host_organization_lineage":["https://openalex.org/P4362643881"],"host_organization_lineage_names":["Research Institute of Intelligent Computer Systems"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.47839/ijc.5.3.406","pdf_url":"https://computingonline.net/computing/article/download/406/376","source":{"id":"https://openalex.org/S2764977685","display_name":"International Journal of Computing","issn_l":"1727-6209","issn":["1727-6209","2312-5381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4362643881","host_organization_name":"Research Institute of Intelligent Computer Systems","host_organization_lineage":["https://openalex.org/P4362643881"],"host_organization_lineage_names":["Research Institute of Intelligent Computer Systems"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.63}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":41,"referenced_works":["https://openalex.org/W1540602082","https://openalex.org/W1578664032","https://openalex.org/W1608292140","https://openalex.org/W1966332297","https://openalex.org/W1967640733","https://openalex.org/W1970298806","https://openalex.org/W1971278516","https://openalex.org/W1974475274","https://openalex.org/W1983401565","https://openalex.org/W1984989594","https://openalex.org/W1986908581","https://openalex.org/W1988384139","https://openalex.org/W1998571922","https://openalex.org/W2000195756","https://openalex.org/W2000862986","https://openalex.org/W2011524218","https://openalex.org/W2012808413","https://openalex.org/W2014954220","https://openalex.org/W2015449320","https://openalex.org/W2017351364","https://openalex.org/W2026545494","https://openalex.org/W2034562813","https://openalex.org/W2047219314","https://openalex.org/W2050313313","https://openalex.org/W2057586413","https://openalex.org/W2059231729","https://openalex.org/W2084957852","https://openalex.org/W2088152209","https://openalex.org/W2089088283","https://openalex.org/W2306882877","https://openalex.org/W230710082","https://openalex.org/W3084048772","https://openalex.org/W3146402442","https://openalex.org/W4237217269","https://openalex.org/W4237382138","https://openalex.org/W4242504576","https://openalex.org/W4243843198","https://openalex.org/W4244932406","https://openalex.org/W4248630724","https://openalex.org/W4253921361","https://openalex.org/W4300945981"],"related_works":["https://openalex.org/W4214824796","https://openalex.org/W2950573157","https://openalex.org/W2917376974","https://openalex.org/W2611739570","https://openalex.org/W2315949065","https://openalex.org/W2174111688","https://openalex.org/W2074089854","https://openalex.org/W2072536718","https://openalex.org/W2030359036","https://openalex.org/W1042092364"],"abstract_inverted_index":{"Failure":[0],"analysis":[1],"and":[2,32,88,91,103,131],"prevention":[3],"are":[4,19],"important":[5],"to":[6,94],"all":[7,84],"of":[8,25,30,35,50,86,101,107,112,125],"the":[9,14,22,26,40,47,60,72,96,123],"engineering":[10,141],"disciplines,":[11],"especially":[12],"for":[13,46,63,70,128,140],"aerospace":[15],"industry.":[16],"Aircraft":[17],"accidents":[18],"remembered":[20],"by":[21,76,117],"public":[23],"because":[24],"unusually":[27],"high":[28],"loss":[29],"life":[31],"broad":[33],"extent":[34],"damage.":[36],"In":[37],"this":[38,113],"paper,":[39],"artificial":[41],"neural":[42],"network":[43],"(ANN)":[44],"technique":[45,62,130],"data":[48,126],"processing":[49,127],"on-line":[51,132],"fatigue":[52,64,73],"crack":[53,65,74],"growth":[54,66,75],"monitoring":[55],"is":[56,78],"proposed":[57],"after":[58],"analyzing":[59],"general":[61],"data.":[67],"A":[68],"model":[69,114],"predicting":[71],"ANN":[77],"presented,":[79],"which":[80],"does":[81],"not":[82],"need":[83],"kinds":[85],"materials":[87],"environment":[89],"parameters,":[90],"only":[92],"needs":[93],"measure":[95],"relation":[97],"between":[98],"a":[99],"(length":[100],"crack)":[102],"N":[104],"(cyclic":[105],"times":[106],"loading)":[108],"in-service.":[109],"The":[110],"feasibility":[111],"was":[115],"verified":[116],"some":[118],"examples.":[119],"It":[120],"makes":[121],"up":[122],"inadequacy":[124],"current":[129],"monitoring.":[133],"Hence":[134],"it":[135],"has":[136],"definite":[137],"realistic":[138],"meaning":[139],"application.":[142]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2991879737","counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2024-12-11T17:49:13.395569","created_date":"2019-12-13"}