{"id":"https://openalex.org/W7224823530","doi":"https://doi.org/10.1177/10567895261500235","title":"A physics-guided residual correction and uncertainty quantification method for interval prediction of combined high- and low-cycle fatigue life under small-sample conditions","display_name":"A physics-guided residual correction and uncertainty quantification method for interval prediction of combined high- and low-cycle fatigue life under small-sample conditions","publication_year":2026,"publication_date":"2026-10-29","ids":{"openalex":"https://openalex.org/W7224823530","doi":"https://doi.org/10.1177/10567895261500235"},"language":"en","primary_location":{"id":"doi:10.1177/10567895261500235","doi":"https://doi.org/10.1177/10567895261500235","is_oa":false,"landing_page_url":"https://doi.org/10.1177/10567895261500235","pdf_url":null,"source":{"id":"https://openalex.org/S119010594","display_name":"International Journal of Damage Mechanics","issn_l":"1056-7895","issn":["1056-7895","1530-7921"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Damage Mechanics","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/A5018400080","display_name":"Xinyu Ge","orcid":"https://orcid.org/0000-0001-7375-504X","observed_orcids":["https://orcid.org/0000-0001-7375-504X"]},"institutions":[{"id":"https://openalex.org/I31637741","display_name":"Inner Mongolia University of Science and Technology","ror":"https://ror.org/044rgx723","country_code":"CN","type":"education","lineage":["https://openalex.org/I31637741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Ge","raw_affiliation_strings":["Inner Mongolia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic System, Inner Mongolia University of Science and Technology, Baotou, China","Inner Mongolia University of Science and Technology"],"raw_orcid":"https://orcid.org/0000-0001-7375-504X","affiliations":[{"raw_affiliation_string":"Inner Mongolia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic System, Inner Mongolia University of Science and Technology, Baotou, China","institution_ids":["https://openalex.org/I31637741"]},{"raw_affiliation_string":"Inner Mongolia University of Science and Technology","institution_ids":["https://openalex.org/I31637741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122390631","display_name":"Chao Zhang","orcid":"https://orcid.org/0009-0005-7812-1819","observed_orcids":["https://orcid.org/0009-0005-7812-1819"]},"institutions":[{"id":"https://openalex.org/I31637741","display_name":"Inner Mongolia University of Science and Technology","ror":"https://ror.org/044rgx723","country_code":"CN","type":"education","lineage":["https://openalex.org/I31637741"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["Inner Mongolia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic System, Inner Mongolia University of Science and Technology, Baotou, China","Inner Mongolia University of Science and Technology"],"raw_orcid":"https://orcid.org/0009-0005-7812-1819","affiliations":[{"raw_affiliation_string":"Inner Mongolia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic System, Inner Mongolia University of Science and Technology, Baotou, China","institution_ids":["https://openalex.org/I31637741"]},{"raw_affiliation_string":"Inner Mongolia University of Science and Technology","institution_ids":["https://openalex.org/I31637741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135864409","display_name":"Tao Zhou","orcid":"https://orcid.org/0009-0007-7759-3827","observed_orcids":["https://orcid.org/0009-0007-7759-3827"]},"institutions":[{"id":"https://openalex.org/I31637741","display_name":"Inner Mongolia University of Science and Technology","ror":"https://ror.org/044rgx723","country_code":"CN","type":"education","lineage":["https://openalex.org/I31637741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhou","raw_affiliation_strings":["Inner Mongolia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic System, Inner Mongolia University of Science and Technology, Baotou, China","Inner Mongolia University of Science and Technology"],"raw_orcid":"https://orcid.org/0009-0007-7759-3827","affiliations":[{"raw_affiliation_string":"Inner Mongolia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic System, Inner Mongolia University of Science and Technology, Baotou, China","institution_ids":["https://openalex.org/I31637741"]},{"raw_affiliation_string":"Inner Mongolia University of Science and Technology","institution_ids":["https://openalex.org/I31637741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101403173","display_name":"Junxi Bi","orcid":"https://orcid.org/0000-0002-6717-9805","observed_orcids":["https://orcid.org/0000-0002-6717-9805"]},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junxi Bi","raw_affiliation_strings":["Inner Mongolia University of Technology"],"raw_orcid":"https://orcid.org/0000-0002-6717-9805","affiliations":[{"raw_affiliation_string":"Inner Mongolia University of Technology","institution_ids":["https://openalex.org/I55654194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030617445","display_name":"Tongtong Liu","orcid":"https://orcid.org/0009-0006-3523-2014","observed_orcids":["https://orcid.org/0009-0006-3523-2014"]},"institutions":[{"id":"https://openalex.org/I31637741","display_name":"Inner Mongolia University of Science and Technology","ror":"https://ror.org/044rgx723","country_code":"CN","type":"education","lineage":["https://openalex.org/I31637741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongtong Liu","raw_affiliation_strings":["Inner Mongolia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic System, Inner Mongolia University of Science and Technology, Baotou, China","Inner Mongolia University of Science and Technology"],"raw_orcid":"https://orcid.org/0009-0006-3523-2014","affiliations":[{"raw_affiliation_string":"Inner Mongolia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic System, Inner Mongolia University of Science and Technology, Baotou, China","institution_ids":["https://openalex.org/I31637741"]},{"raw_affiliation_string":"Inner Mongolia University of Science and Technology","institution_ids":["https://openalex.org/I31637741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5152169394","display_name":"Xiaofeng Zhou","orcid":"https://orcid.org/0009-0005-0512-6213","observed_orcids":["https://orcid.org/0009-0005-0512-6213"]},"institutions":[{"id":"https://openalex.org/I31637741","display_name":"Inner Mongolia University of Science and Technology","ror":"https://ror.org/044rgx723","country_code":"CN","type":"education","lineage":["https://openalex.org/I31637741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Zhou","raw_affiliation_strings":["Inner Mongolia University of Science and Technology"],"raw_orcid":"https://orcid.org/0009-0005-0512-6213","affiliations":[{"raw_affiliation_string":"Inner Mongolia University of Science and Technology","institution_ids":["https://openalex.org/I31637741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101403173","https://openalex.org/A5122390631"],"corresponding_institution_ids":["https://openalex.org/I31637741","https://openalex.org/I55654194"],"apc_list":{"value":4400,"currency":"USD","value_usd":4400},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75757144,"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/T10396","display_name":"Fatigue and fracture mechanics","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10396","display_name":"Fatigue and fracture mechanics","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.0006000000284984708,"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"}},{"id":"https://openalex.org/T10219","display_name":"Mechanical Behavior of Composites","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/fatigue-life-prediction","display_name":"fatigue life prediction","score":0.9020000100135803},{"id":"https://openalex.org/keywords/interval-prediction","display_name":"interval prediction","score":0.8159999847412109},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"uncertainty quantification","score":0.9100000262260437},{"id":"https://openalex.org/keywords/support-vector-regression","display_name":"support vector regression","score":0.843999981880188},{"id":"https://openalex.org/keywords/prediction-interval-coverage","display_name":"prediction interval coverage","score":0.5889999866485596}],"concepts":[{"id":"https://openalex.org/C103402496","wikidata":"https://www.wikidata.org/wiki/Q1106171","display_name":"Prediction interval","level":2,"score":0.8180999755859375},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8137000203132629},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.631600022315979},{"id":"https://openalex.org/C205167067","wikidata":"https://www.wikidata.org/wiki/Q3300636","display_name":"Interval estimation","level":3,"score":0.5217000246047974},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.5196999907493591},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.511900007724762},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4794999957084656},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.46389999985694885},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.45899999141693115},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.40549999475479126},{"id":"https://openalex.org/C137209882","wikidata":"https://www.wikidata.org/wiki/Q1403517","display_name":"Measurement uncertainty","level":2,"score":0.3953000009059906},{"id":"https://openalex.org/C2776292839","wikidata":"https://www.wikidata.org/wiki/Q5179217","display_name":"Coverage probability","level":3,"score":0.39469999074935913},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.3528999984264374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3450999855995178},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3424000144004822},{"id":"https://openalex.org/C10590107","wikidata":"https://www.wikidata.org/wiki/Q7814221","display_name":"Tolerance interval","level":3,"score":0.3296999931335449},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.31130000948905945},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C191252586","wikidata":"https://www.wikidata.org/wiki/Q1671453","display_name":"Interval arithmetic","level":3,"score":0.3057999908924103},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C177803969","wikidata":"https://www.wikidata.org/wiki/Q29205","display_name":"Uncertainty analysis","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/10567895261500235","doi":"https://doi.org/10.1177/10567895261500235","is_oa":false,"landing_page_url":"https://doi.org/10.1177/10567895261500235","pdf_url":null,"source":{"id":"https://openalex.org/S119010594","display_name":"International Journal of Damage Mechanics","issn_l":"1056-7895","issn":["1056-7895","1530-7921"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Damage Mechanics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1999523277","https://openalex.org/W2006819955","https://openalex.org/W2553547219","https://openalex.org/W2672330039","https://openalex.org/W2892700644","https://openalex.org/W2945651574","https://openalex.org/W3033920241","https://openalex.org/W3120482220","https://openalex.org/W3124372565","https://openalex.org/W3163075106","https://openalex.org/W3195582639","https://openalex.org/W4296173912","https://openalex.org/W4306318702","https://openalex.org/W4307641140","https://openalex.org/W4385191306","https://openalex.org/W4386714514","https://openalex.org/W4387167469","https://openalex.org/W4391430650","https://openalex.org/W4391849533","https://openalex.org/W4403144449","https://openalex.org/W4403467404","https://openalex.org/W4404402928","https://openalex.org/W4404602240","https://openalex.org/W4406805444","https://openalex.org/W4408390186","https://openalex.org/W4408420002","https://openalex.org/W4409445463","https://openalex.org/W4409791396","https://openalex.org/W4411507815","https://openalex.org/W4411541501","https://openalex.org/W4413328146","https://openalex.org/W4413339343","https://openalex.org/W4414223151","https://openalex.org/W7108339286","https://openalex.org/W7134893403"],"related_works":["https://openalex.org/W4214766450","https://openalex.org/W4416720263","https://openalex.org/W4224436134","https://openalex.org/W4200609136","https://openalex.org/W4327957081","https://openalex.org/W4406880106","https://openalex.org/W2893647234","https://openalex.org/W4320491875","https://openalex.org/W4416577596","https://openalex.org/W3099004689"],"abstract_inverted_index":{"Accurate":[0],"interval":[1,46,140,150,191,195,205],"prediction":[2,127,132,135,190,194,204],"of":[3,124,186,198,207,224],"combined":[4],"high-":[5],"and":[6,24,39,59,85,110,129,137,152,231],"low-cycle":[7,76],"fatigue":[8],"(CCF)":[9],"life":[10,45,68,82,155],"under":[11],"small-sample":[12],"conditions":[13],"remains":[14],"challenging,":[15],"as":[16,55],"conventional":[17],"damage":[18,51,72,77,80,88],"models":[19,27],"may":[20,28],"introduce":[21],"systematic":[22],"bias":[23],"purely":[25],"data-driven":[26],"show":[29],"unstable":[30],"generalization.":[31],"This":[32],"study":[33],"proposes":[34],"a":[35,56,97,160,193,201],"physics-guided":[36],"residual":[37,62,109,145],"correction":[38],"uncertainty":[40,117],"quantification":[41],"method":[42,164,180,235],"for":[43],"CCF":[44,169],"prediction.":[47,115],"The":[48,163,178,188],"Miner":[49,61,108],"linear":[50],"model":[52,102],"is":[53,63,103,118,165],"used":[54,104],"physics-based":[57,113],"baseline,":[58],"the":[60,66,75,107,112,121,125,130,210,215,233],"defined":[64],"in":[65,159],"logarithmic":[67],"domain.":[69],"Physically":[70],"informed":[71],"descriptors,":[73,96],"including":[74],"ratio,":[78,81,84],"high-cycle":[79],"scale":[83],"coupled":[86],"low\u2013high-cycle":[87],"parameter,":[89],"are":[90,142,157],"then":[91],"constructed.":[92],"Based":[93],"on":[94],"these":[95],"support":[98],"vector":[99],"regression":[100],"(SVR)":[101],"to":[105],"learn":[106],"correct":[111],"baseline":[114],"Residual":[116],"quantified":[119],"using":[120,144,167],"empirical":[122,153,238],"distribution":[123],"remaining":[126],"residuals,":[128],"90%":[131],"interval,":[133,136],"95%":[134,189],"engineering":[138],"conservative":[139],"(ECI)":[141],"constructed":[143],"quantiles.":[146],"Thus,":[147],"point":[148],"prediction,":[149,151],"safe":[154],"estimation":[156],"achieved":[158],"unified":[161],"framework.":[162],"validated":[166],"43":[168],"samples":[170],"from":[171],"seven":[172],"materials":[173],"through":[174],"leave-one-out":[175],"cross-validation":[176],"(LOOCV).":[177],"proposed":[179,234],"achieves":[181],"an":[182,221],"RMSE":[183],"log":[184],"10":[185],"0.0895.":[187],"obtains":[192],"coverage":[196,242],"probability":[197],"97.67%":[199],"with":[200,220,227],"normalized":[202],"mean":[203],"width":[206],"0.1123.":[208],"On":[209],"present":[211],"LOOCV-based":[212],"validation":[213],"dataset,":[214],"ECI":[216],"covers":[217],"all":[218],"samples,":[219],"error":[222],"factor":[223],"1.4950.":[225],"Compared":[226],"Miner,":[228],"Manson\u2013Halford,":[229],"SVR,":[230],"XGBoost,":[232],"provides":[236],"narrower":[237],"intervals":[239],"at":[240],"comparable":[241],"levels.":[243]},"counts_by_year":[],"updated_date":"2026-11-01T11:40:01.658920","created_date":"2026-10-31T00:00:00"}
