{"id":"https://openalex.org/W4401453008","doi":"https://doi.org/10.1109/sose62659.2024.10620948","title":"An Automatic Analysis Approach of Bridge Life Based on Engineering Mathematics and LSTM","display_name":"An Automatic Analysis Approach of Bridge Life Based on Engineering Mathematics and LSTM","publication_year":2024,"publication_date":"2024-06-23","ids":{"openalex":"https://openalex.org/W4401453008","doi":"https://doi.org/10.1109/sose62659.2024.10620948"},"language":"en","primary_location":{"id":"doi:10.1109/sose62659.2024.10620948","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sose62659.2024.10620948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 19th Annual System of Systems Engineering Conference (SoSE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100568300","display_name":"Ziyi Zhao","orcid":"https://orcid.org/0009-0008-6548-7960"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyi Zhao","raw_affiliation_strings":["Lanzhou University,School of Information Science and Engineering,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou University,School of Information Science and Engineering,China","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100454595","display_name":"Hai\u2010Tao Zhang","orcid":"https://orcid.org/0009-0001-3305-5767"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Zhang","raw_affiliation_strings":["Lanzhou University,School of Information Science and Engineering,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou University,School of Information Science and Engineering,China","institution_ids":["https://openalex.org/I76214153"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76214153"],"apc_list":null,"apc_paid":null,"fwci":1.7407,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80133791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"16","issue":null,"first_page":"308","last_page":"313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T12487","display_name":"Structural Engineering and Vibration Analysis","score":0.9980000257492065,"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/T10842","display_name":"Railway Engineering and Dynamics","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.7277522087097168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6027488708496094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3449289798736572}],"concepts":[{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.7277522087097168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6027488708496094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3449289798736572},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sose62659.2024.10620948","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sose62659.2024.10620948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 19th Annual System of Systems Engineering Conference (SoSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.4099999964237213,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1496750859","https://openalex.org/W2003835511","https://openalex.org/W2009502492","https://openalex.org/W2027456229","https://openalex.org/W2117970872","https://openalex.org/W2122466070","https://openalex.org/W2157381189","https://openalex.org/W2256883019","https://openalex.org/W2279409484","https://openalex.org/W2320276711","https://openalex.org/W2363477517","https://openalex.org/W2982665332","https://openalex.org/W3001173864","https://openalex.org/W3003253050","https://openalex.org/W3022840527","https://openalex.org/W3048601677","https://openalex.org/W3100121331","https://openalex.org/W3127868265","https://openalex.org/W3136930783","https://openalex.org/W3173384282","https://openalex.org/W3173662968","https://openalex.org/W3183660758","https://openalex.org/W4220769521","https://openalex.org/W4280531443","https://openalex.org/W4285013808","https://openalex.org/W4292261601","https://openalex.org/W6695218899"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W1501776718","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2615136228","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"With":[0],"the":[1,14,22,64,94,98,106,113,127,143,181,190,196,213,226],"advancement":[2],"of":[3,8,16,24,97,118,129,134,159,184,192,215,228],"sensor":[4,173,209],"networks,":[5],"a":[6,89,132,157,199],"variety":[7],"methods":[9,27,35,41,57],"have":[10],"been":[11],"proposed":[12],"in":[13,52,81,231],"field":[15],"bridge":[17,53,123,185],"health":[18],"monitoring":[19],"to":[20,48,60,111,162,169,179],"predict":[21],"lifespan":[23,193,220],"bridges.":[25],"These":[26,222],"can":[28],"be":[29],"divided":[30],"into":[31,62,204],"two":[32],"categories:":[33],"statistical":[34,40],"and":[36,121,218],"machine":[37,55],"learning":[38,56,117],"methods.":[39,153],"are":[42,58],"static":[43],"techniques":[44],"so":[45],"that":[46,92,201],"fail":[47],"capture":[49],"real-time":[50],"changes":[51],"health.":[54],"better":[59],"take":[61],"account":[63],"temporal":[65,182],"variations":[66],"but":[67],"require":[68],"high-quality":[69],"datasets.":[70],"In":[71],"practical":[72,232],"engineering":[73,233],"applications,":[74],"missing":[75],"or":[76,83],"excessive":[77],"data":[78,164,210],"often":[79],"result":[80],"over-fitting":[82],"under-fitting":[84],"issues.":[85],"This":[86,146],"study":[87],"propose":[88],"new":[90],"approach":[91,147,188,230],"modifies":[93],"parameter":[95,107],"structure":[96,108],"Long":[99],"Short-Term":[100],"Memory":[101],"(LSTM)":[102],"model.":[103],"By":[104],"changing":[105],"from":[109],"vectors":[110],"matrices,":[112],"author":[114],"enables":[115],"shared":[116],"both":[119,216],"local":[120,206,217],"global":[122,219],"lifespans.":[124],"To":[125],"evaluate":[126],"effectiveness":[128],"this":[130],"approach,":[131],"series":[133],"experiments":[135],"were":[136],"conducted":[137],"on":[138],"several":[139,149],"bridges":[140,170,203],"built":[141],"with":[142,171],"ANSYS":[144],"platform.":[145],"has":[148],"advantages":[150],"over":[151],"existing":[152],"(i)":[154],"it":[155,167],"provides":[156],"set":[158],"physical":[160],"formulas":[161],"reduce":[163],"dimensionality,":[165],"making":[166],"applicable":[168],"different":[172],"data;":[174],"(ii)":[175],"by":[176],"using":[177],"LSTM":[178],"consider":[180],"characteristics":[183],"health,":[186],"our":[187,229],"enhances":[189],"accuracy":[191],"prediction;":[194],"(iii)":[195],"authors":[197],"introduce":[198],"method":[200],"partitions":[202],"multiple":[205],"regions":[207],"for":[208],"processing,":[211],"enabling":[212],"acquisition":[214],"information.":[221],"features":[223],"greatly":[224],"improve":[225],"applicability":[227],"scenarios.":[234]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
