{"id":"https://openalex.org/W126310071","doi":null,"title":"Structural Health Monitoring of Plates Without Reference Data: Accurate Crack Identification using a Model-Based Bayesian Framework","display_name":"Structural Health Monitoring of Plates Without Reference Data: Accurate Crack Identification using a Model-Based Bayesian Framework","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W126310071","mag":"126310071"},"language":"en","primary_location":{"id":"pmh:oai:digitalcommons.lib.uconn.edu:dissertations-5767","doi":null,"is_oa":false,"landing_page_url":"https://digitalcommons.lib.uconn.edu/dissertations/AAI3485432","pdf_url":null,"source":{"id":"https://openalex.org/S4306401180","display_name":"OpenCommons at University of Connecticut (University of Connecticut)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I140172145","host_organization_name":"University of Connecticut","host_organization_lineage":["https://openalex.org/I140172145"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Doctoral Dissertations","raw_type":"text"},"volume":null,"type":"dissertation","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/A5022046082","display_name":"Edward Z. Moore","orcid":"https://orcid.org/0000-0002-2558-3586","observed_orcids":["https://orcid.org/0000-0002-2558-3586"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Edward Z. Moore","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2558-3586","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5022046082"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":9.999999747378752e-05,"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/T11236","display_name":"Control Systems and Identification","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/structural-health-monitoring","display_name":"structural health monitoring","score":0.996999979019165},{"id":"https://openalex.org/keywords/crack-detection","display_name":"crack detection","score":0.968999981880188},{"id":"https://openalex.org/keywords/plates","display_name":"plates","score":0.8339999914169312},{"id":"https://openalex.org/keywords/finite-element-model-updating","display_name":"finite element model updating","score":0.6809999942779541},{"id":"https://openalex.org/keywords/evolutionary-algorithms","display_name":"evolutionary algorithms","score":0.6060000061988831},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.7379999756813049},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.8130000233650208},{"id":"https://openalex.org/keywords/strain-gauge-data","display_name":"strain gauge data","score":0.4399999976158142},{"id":"https://openalex.org/keywords/impact-response","display_name":"impact response","score":0.5450000166893005},{"id":"https://openalex.org/keywords/sensor-placement","display_name":"sensor placement","score":0.5759999752044678},{"id":"https://openalex.org/keywords/confidence-intervals","display_name":"confidence intervals","score":0.6200000047683716},{"id":"https://openalex.org/keywords/damage-detection","display_name":"damage detection","score":0.44600000977516174}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6525915265083313},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5966920256614685},{"id":"https://openalex.org/C2776247918","wikidata":"https://www.wikidata.org/wiki/Q1423713","display_name":"Structural health monitoring","level":2,"score":0.5702448487281799},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5167064666748047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5147831439971924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36545008420944214},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2258228361606598},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.13337492942810059},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:digitalcommons.lib.uconn.edu:dissertations-5767","doi":null,"is_oa":false,"landing_page_url":"https://digitalcommons.lib.uconn.edu/dissertations/AAI3485432","pdf_url":null,"source":{"id":"https://openalex.org/S4306401180","display_name":"OpenCommons at University of Connecticut (University of Connecticut)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I140172145","host_organization_name":"University of Connecticut","host_organization_lineage":["https://openalex.org/I140172145"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Doctoral Dissertations","raw_type":"text"},{"id":"pmh:oai:opencommons.uconn.edu:dissertations-5767","doi":null,"is_oa":false,"landing_page_url":"http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:3485432","pdf_url":null,"source":{"id":"https://openalex.org/S4306401180","display_name":"OpenCommons at University of Connecticut (University of Connecticut)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I140172145","host_organization_name":"University of Connecticut","host_organization_lineage":["https://openalex.org/I140172145"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Doctoral Dissertations","raw_type":"text"},{"id":"mag:126310071","doi":null,"is_oa":false,"landing_page_url":"http://digitalcommons.uconn.edu/dissertations/AAI3485432/","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":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5378999710083008}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1499456666","https://openalex.org/W233871801","https://openalex.org/W1998772984","https://openalex.org/W7099961868","https://openalex.org/W191541973","https://openalex.org/W159823530","https://openalex.org/W1995521797","https://openalex.org/W3097078780","https://openalex.org/W3088960370","https://openalex.org/W2090760365"],"abstract_inverted_index":{"Structural":[0],"health":[1],"monitoring":[2],"has":[3,23],"been":[4,24,49],"an":[5,157,180,212],"active":[6],"area":[7],"of":[8,20,28,31,36,79,108,113,125,130,156,174,216,249,310],"research":[9,22],"over":[10],"the":[11,17,32,106,109,114,126,131,134,154,161,168,171,198,203,217,240,262,274,289,308,316],"last":[12],"half-century.":[13],"During":[14],"this":[15,64,89],"time":[16,191],"dominant":[18],"theme":[19],"academic":[21],"to":[25,67,95,111,118,141,160,166,179,196,223,239,256,273,318],"avoid":[26],"use":[27],"physical":[29],"understanding":[30],"structure":[33,129],"in":[34,98,226],"favor":[35],"pattern-recognition":[37],"based":[38],"approaches":[39],"which":[40],"require":[41],"copious":[42],"reference":[43,80],"data.":[44,81],"Countless":[45],"incremental":[46],"improvements":[47],"have":[48],"published":[50],"and":[51,77,102,117,231,305,307,315],"then":[52,194],"found":[53],"wanting":[54],"by":[55,147,184,205,243,321],"industry.":[56],"A":[57,247],"radical":[58],"new":[59],"approach":[60,94,140,220],"is":[61,66,85,100,121,145,182,193,221,265,313,324],"needed":[62],"if":[63],"logjam":[65],"be":[68,73,224,271,293],"broken.":[69],"The":[70,189,219,233,276],"method":[71,84,110,209,259,300],"must":[72],"accurate,":[74],"inexpensive,":[75],"robust,":[76],"independent":[78],"Such":[82],"a":[83,91,149,175,207,244,251,257,298],"presented":[86],"here.":[87],"In":[88,164,296],"thesis":[90],"model-based":[92],"Bayesian":[93,162,208,234,252],"crack":[96,115,199,228],"identification":[97],"plates":[99],"described":[101],"demonstrated":[103,222],"experimentally.":[104],"First":[105],"sensitivity":[107],"variation":[112],"parameters":[116,200],"sensor":[119],"noise":[120],"examined.":[122],"Then,":[123],"because":[124],"highly":[127],"complex":[128],"parameter":[132],"space,":[133],"standard":[135],"Markov":[136],"chain":[137],"Monte":[138],"Carlo":[139],"solving":[142],"Bayes":[143],"theorem":[144],"extended":[146],"using":[148,206,250],"population-based":[150],"technique":[151,169],"that":[152,201,266,279],"adds":[153],"power":[155],"evolutionary":[158],"algorithm":[159],"framework.":[163],"order":[165],"validate":[167],"experimentally,":[170],"free":[172],"response":[173],"cracked":[176],"plate":[177],"subjected":[178],"impact":[181,312],"recorded":[183],"three":[185],"resistive":[186],"strain":[187],"gages.":[188],"resulting":[190],"series":[192],"used":[195],"estimate":[197],"characterize":[202],"damage":[204,290],"built":[210],"upon":[211],"efficient":[213],"finite-element":[214],"model":[215],"plate.":[218],"effective":[225],"identifying":[227],"location,":[229],"orientation":[230],"length.":[232],"results":[235,241,277],"are":[236],"also":[237],"compared":[238,255],"produced":[242],"genetic":[245,263],"algorithm.":[246],"benefit":[248,317],"methodology,":[253],"as":[254,261],"frequentist":[258],"such":[260],"algorithm,":[264],"rigorous":[267],"confidence":[268],"intervals":[269],"can":[270,292],"assigned":[272],"estimates.":[275],"show":[278],"even":[280],"with":[281],"limited,":[282],"noisy":[283],"vibration":[284],"data":[285],"accurate":[286],"information":[287],"regarding":[288],"state":[291],"successfully":[294],"estimated.":[295],"addition,":[297],"novel":[299],"for":[301],"selection":[302],"gage":[303],"locations":[304],"orientations":[306],"location":[309,323],"excitation":[311],"explored":[314],"estimation":[319],"accrued":[320],"careful":[322],"quantified.":[325],"^":[326]},"counts_by_year":[],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2016-06-24T00:00:00"}