{"id":"https://openalex.org/W2080711740","doi":"https://doi.org/10.1115/1.4023155","title":"Model Selection Among Physics-Based Models","display_name":"Model Selection Among Physics-Based Models","publication_year":2013,"publication_date":"2013-01-07","ids":{"openalex":"https://openalex.org/W2080711740","doi":"https://doi.org/10.1115/1.4023155","mag":"2080711740"},"language":"en","primary_location":{"id":"doi:10.1115/1.4023155","doi":"https://doi.org/10.1115/1.4023155","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4023155","pdf_url":null,"source":{"id":"https://openalex.org/S88457320","display_name":"Journal of Mechanical Design","issn_l":"0161-8458","issn":["0161-8458","1050-0472","1528-9001"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","jufo-2","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310321320","host_organization_name":"American Society of Mechanical Engineers","host_organization_lineage":["https://openalex.org/P4310321320"],"host_organization_lineage_names":["American Society of Mechanical Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Mechanical Design","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/A5037181419","display_name":"Vadiraj Hombal","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V. K. Hombal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5089894989","display_name":"Sankaran Mahadevan","orcid":"https://orcid.org/0000-0003-1969-2388","observed_orcids":["https://orcid.org/0000-0003-1969-2388"]},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Mahadevan","raw_affiliation_strings":["e-mail:\u2002 Department of Civil and Environmental Engineering, Vanderbilt University , Nashville, TN 37235"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"e-mail:\u2002 Department of Civil and Environmental Engineering, Vanderbilt University , Nashville, TN 37235","institution_ids":["https://openalex.org/I200719446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2057,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.89007302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"135","issue":"2","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":0.9843999743461609,"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":0.9843999743461609,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.005100000184029341,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.004900000058114529,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/model-selection","display_name":"model selection","score":0.9750000238418579},{"id":"https://openalex.org/keywords/physics-based-modeling","display_name":"physics-based modeling","score":0.875},{"id":"https://openalex.org/keywords/design-under-uncertainty","display_name":"design under uncertainty","score":0.8330000042915344},{"id":"https://openalex.org/keywords/prediction-error-estimation","display_name":"prediction error estimation","score":0.7540000081062317},{"id":"https://openalex.org/keywords/design-optimization","display_name":"design optimization","score":0.6240000128746033},{"id":"https://openalex.org/keywords/measurement-noise","display_name":"measurement noise","score":0.6610000133514404},{"id":"https://openalex.org/keywords/fatigue-crack-growth-model","display_name":"fatigue crack growth model","score":0.8309999704360962},{"id":"https://openalex.org/keywords/misclassification","display_name":"misclassification","score":0.5149999856948853}],"concepts":[{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.7016348242759705},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6911188364028931},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6437390446662903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5412226915359497},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.5313463807106018},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5304797291755676},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4876066744327545},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4437887370586395},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.44088014960289},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.41787731647491455},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3865569829940796},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.362812876701355},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33570122718811035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2809293270111084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2118118703365326},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18086034059524536},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1115/1.4023155","doi":"https://doi.org/10.1115/1.4023155","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4023155","pdf_url":null,"source":{"id":"https://openalex.org/S88457320","display_name":"Journal of Mechanical Design","issn_l":"0161-8458","issn":["0161-8458","1050-0472","1528-9001"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","jufo-2","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310321320","host_organization_name":"American Society of Mechanical Engineers","host_organization_lineage":["https://openalex.org/P4310321320"],"host_organization_lineage_names":["American Society of Mechanical Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Mechanical Design","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/7","score":0.6100000143051147,"display_name":"Affordable and clean energy"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1513751997","https://openalex.org/W1562540345","https://openalex.org/W1607663648","https://openalex.org/W1746819321","https://openalex.org/W1969105150","https://openalex.org/W1973333099","https://openalex.org/W1976083895","https://openalex.org/W1978220626","https://openalex.org/W1984753492","https://openalex.org/W1986127032","https://openalex.org/W1990701202","https://openalex.org/W1991452580","https://openalex.org/W1999750089","https://openalex.org/W2003248041","https://openalex.org/W2006646053","https://openalex.org/W2009435671","https://openalex.org/W2018044188","https://openalex.org/W2020582151","https://openalex.org/W2027873958","https://openalex.org/W2028963199","https://openalex.org/W2031520801","https://openalex.org/W2033872649","https://openalex.org/W2040146655","https://openalex.org/W2041697026","https://openalex.org/W2045816034","https://openalex.org/W2046600124","https://openalex.org/W2047585845","https://openalex.org/W2048934906","https://openalex.org/W2054658115","https://openalex.org/W2057765075","https://openalex.org/W2057911720","https://openalex.org/W2062613656","https://openalex.org/W2077360181","https://openalex.org/W2080167534","https://openalex.org/W2087258020","https://openalex.org/W2088917519","https://openalex.org/W2095125336","https://openalex.org/W2096045991","https://openalex.org/W2098772981","https://openalex.org/W2102812979","https://openalex.org/W2107469042","https://openalex.org/W2116689067","https://openalex.org/W2136832006","https://openalex.org/W2138805882","https://openalex.org/W2146855196","https://openalex.org/W2146994498","https://openalex.org/W2149493559","https://openalex.org/W2149764047","https://openalex.org/W2170078560","https://openalex.org/W2284453643","https://openalex.org/W2334018742","https://openalex.org/W2496913218","https://openalex.org/W2527442911","https://openalex.org/W4230211598"],"related_works":["https://openalex.org/W2073171195","https://openalex.org/W2042631685","https://openalex.org/W1982410604","https://openalex.org/W2553227529","https://openalex.org/W2322744709","https://openalex.org/W4293568812","https://openalex.org/W1999895538","https://openalex.org/W7098264368","https://openalex.org/W1663899223","https://openalex.org/W2902816337"],"abstract_inverted_index":{"The":[0,159,197,221,232],"optimal":[1],"solution":[2],"of":[3,42,49,59,95,107,124,167,191,199,203,223,240,261],"a":[4,125,214,250],"design":[5,31,51,85],"optimization":[6],"problem":[7,58,94,239,260],"is":[8,38,70,100,162,235],"dependent":[9],"on":[10,164,226],"the":[11,17,40,47,50,57,66,77,93,97,104,108,112,118,122,133,147,152,165,168,177,184,188,192,227,238,259],"predictive":[12],"models":[13,23,64,193,245],"used":[14,44],"to":[15,45,73,102],"evaluate":[16],"objective":[18],"and":[19,27,79,82,206,257],"constraints.":[20],"Since":[21],"different":[22,25,30],"give":[24],"predictions":[26,131],"can":[28],"yield":[29],"decisions,":[32],"when":[33],"more":[34],"than":[35],"one":[36],"model":[37,43,60,74,98,127,144,154,169,179,207,219],"available,":[39],"choice":[41],"represent":[46],"objectives/constraints":[48],"becomes":[52],"important.":[53],"This":[54,136],"paper":[55,137],"addresses":[56,92],"selection":[61,75,89,116,145,216],"among":[62],"physics-based":[63],"during":[65,76,90,117,146],"prediction":[67,148,157,170,182,208],"stage,":[68,149],"which":[69,150],"in":[71,212,249],"contrast":[72],"calibration":[78,91,109],"validation":[80,119,134,204],"stages,":[81],"therefore":[83],"affects":[84],"under":[86,172,254],"uncertainty.":[87,174],"Model":[88,115],"selecting":[96,176,241,262],"that":[99,141],"likely":[101],"provide":[103],"best":[105,178],"generalization":[106],"data":[110],"over":[111],"entire":[113],"domain.":[114],"stage":[120],"examines":[121],"validity":[123],"calibrated":[126],"by":[128],"comparing":[129],"its":[130],"against":[132],"data.":[135],"presents":[138],"an":[139],"approach":[140,161,186,234],"allows":[142],"for":[143,155,218,237,246,258],"selects":[151],"\u201cbest\u201d":[153],"each":[156,181],"point.":[158],"proposed":[160,185,233],"based":[163],"estimation":[166],"error":[171],"stationary/nonstationary":[173],"By":[175],"at":[180],"point,":[183],"partitions":[187],"input":[189],"domain":[190],"into":[194],"nonoverlapping":[195],"regions.":[196],"effects":[198,222],"measurement":[200],"noise,":[201],"sparseness":[202],"data,":[205],"uncertainty":[209],"are":[210,230],"included":[211],"deriving":[213],"probabilistic":[215],"criterion":[217],"selection.":[220],"these":[224],"uncertainties":[225],"classification":[228],"errors":[229],"analyzed.":[231],"demonstrated":[236],"between":[242],"two":[243],"parametric":[244],"energy":[247],"dissipation":[248],"mechanical":[251],"lap":[252],"joint":[253],"dynamic":[255],"loading,":[256],"fatigue":[263],"crack":[264],"growth":[265],"models.":[266]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2016-06-24T00:00:00"}