{"id":"https://openalex.org/W4417367290","doi":"https://doi.org/10.1063/5.0310712","title":"Optimization of small spacing tunnel excavation method and prediction model for deformation and stress","display_name":"Optimization of small spacing tunnel excavation method and prediction model for deformation and stress","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W4417367290","doi":"https://doi.org/10.1063/5.0310712"},"language":"en","primary_location":{"id":"doi:10.1063/5.0310712","doi":"https://doi.org/10.1063/5.0310712","is_oa":true,"landing_page_url":"https://doi.org/10.1063/5.0310712","pdf_url":null,"source":{"id":"https://openalex.org/S189917590","display_name":"AIP Advances","issn_l":"2158-3226","issn":["2158-3226"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320257","host_organization_name":"American Institute of Physics","host_organization_lineage":["https://openalex.org/P4310320257"],"host_organization_lineage_names":["American Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AIP Advances","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1063/5.0310712","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114243282","display_name":"Yilin Liu","orcid":"https://orcid.org/0000-0002-5523-6470","observed_orcids":["https://orcid.org/0000-0002-5523-6470"]},"institutions":[{"id":"https://openalex.org/I4405278463","display_name":"Chongqing Water Resources and Electric Engineering College","ror":"https://ror.org/003a3qa91","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405278463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilin Liu","raw_affiliation_strings":["Chongqing Water Resources and Electric Engineering College 1 , Chongqing 402160,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Water Resources and Electric Engineering College 1 , Chongqing 402160,","institution_ids":["https://openalex.org/I4405278463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076397814","display_name":"J.X. Chen","orcid":"https://orcid.org/0009-0007-2095-4521","observed_orcids":["https://orcid.org/0009-0007-2095-4521"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingsong Chen","raw_affiliation_strings":["Sichuan Chuanjiao Road and Bridge Co., Ltd. 2 , Chengdu 618300,"],"raw_orcid":"https://orcid.org/0009-0007-2095-4521","affiliations":[{"raw_affiliation_string":"Sichuan Chuanjiao Road and Bridge Co., Ltd. 2 , Chengdu 618300,","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110377054","display_name":"Xin Li","orcid":"https://orcid.org/0009-0002-1681-9689","observed_orcids":["https://orcid.org/0009-0002-1681-9689"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["Sichuan Road and Waterway Construction Engineering Co., Ltd. 3 , Chengdu 610045,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan Road and Waterway Construction Engineering Co., Ltd. 3 , Chengdu 610045,","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1350,"currency":"USD","value_usd":1350},"apc_paid":{"value":1350,"currency":"USD","value_usd":1350},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28233466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":"12","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12482","display_name":"Tunneling and Rock Mechanics","score":0.638700008392334,"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/T12482","display_name":"Tunneling and Rock Mechanics","score":0.638700008392334,"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/T11046","display_name":"Geotechnical Engineering and Analysis","score":0.24130000174045563,"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/T13772","display_name":"Geomechanics and Mining Engineering","score":0.05849999934434891,"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/tunnel-deformation-prediction","display_name":"tunnel deformation prediction","score":0.8370000123977661},{"id":"https://openalex.org/keywords/stress-distribution","display_name":"stress distribution","score":0.5929999947547913},{"id":"https://openalex.org/keywords/grey-wolf-optimizer","display_name":"grey wolf optimizer","score":0.8880000114440918},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"particle swarm optimization","score":0.9610000252723694},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.9990000128746033},{"id":"https://openalex.org/keywords/machine-learning-prediction-models","display_name":"machine learning prediction models","score":0.8119999766349792},{"id":"https://openalex.org/keywords/numerical-simulation","display_name":"numerical simulation","score":0.46299999952316284}],"concepts":[{"id":"https://openalex.org/C31858485","wikidata":"https://www.wikidata.org/wiki/Q959782","display_name":"Excavation","level":2,"score":0.7382000088691711},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7019000053405762},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.6764000058174133},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.5303999781608582},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.5259000062942505},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.5259000062942505},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.43939998745918274},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4104999899864197},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.39430001378059387},{"id":"https://openalex.org/C186399060","wikidata":"https://www.wikidata.org/wiki/Q959962","display_name":"Diagram","level":2,"score":0.38499999046325684},{"id":"https://openalex.org/C2987619373","wikidata":"https://www.wikidata.org/wiki/Q130617","display_name":"Tunnel boring machine","level":2,"score":0.3474999964237213},{"id":"https://openalex.org/C52234038","wikidata":"https://www.wikidata.org/wiki/Q17128025","display_name":"Cross section (physics)","level":2,"score":0.34700000286102295},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C500300565","wikidata":"https://www.wikidata.org/wiki/Q925667","display_name":"Computer simulation","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31450000405311584},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3041999936103821},{"id":"https://openalex.org/C48753275","wikidata":"https://www.wikidata.org/wiki/Q11216","display_name":"Numerical analysis","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C120398109","wikidata":"https://www.wikidata.org/wiki/Q175751","display_name":"Quantum tunnelling","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C2778906150","wikidata":"https://www.wikidata.org/wiki/Q2460103","display_name":"Tunnel construction","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C76969082","wikidata":"https://www.wikidata.org/wiki/Q486902","display_name":"Mathematical model","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1063/5.0310712","doi":"https://doi.org/10.1063/5.0310712","is_oa":true,"landing_page_url":"https://doi.org/10.1063/5.0310712","pdf_url":null,"source":{"id":"https://openalex.org/S189917590","display_name":"AIP Advances","issn_l":"2158-3226","issn":["2158-3226"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320257","host_organization_name":"American Institute of Physics","host_organization_lineage":["https://openalex.org/P4310320257"],"host_organization_lineage_names":["American Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AIP Advances","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0c0e8d738d74400699528dd66efa317d","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/0c0e8d738d74400699528dd66efa317d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"AIP Advances, Vol 15, Iss 12, Pp - (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1063/5.0310712","doi":"https://doi.org/10.1063/5.0310712","is_oa":true,"landing_page_url":"https://doi.org/10.1063/5.0310712","pdf_url":null,"source":{"id":"https://openalex.org/S189917590","display_name":"AIP Advances","issn_l":"2158-3226","issn":["2158-3226"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320257","host_organization_name":"American Institute of Physics","host_organization_lineage":["https://openalex.org/P4310320257"],"host_organization_lineage_names":["American Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AIP Advances","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":1.0}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324805","display_name":"Chongqing Municipal Education Commission","ror":"https://ror.org/031nm5713"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W172786890","https://openalex.org/W1553725057","https://openalex.org/W2014634048","https://openalex.org/W2055125477","https://openalex.org/W2071123660","https://openalex.org/W2123664917","https://openalex.org/W2171554149","https://openalex.org/W2194980851","https://openalex.org/W2329237660","https://openalex.org/W2544251039","https://openalex.org/W2765184704","https://openalex.org/W2972445383","https://openalex.org/W3002140553","https://openalex.org/W3034259271","https://openalex.org/W3088730845","https://openalex.org/W3194006746","https://openalex.org/W3210739237","https://openalex.org/W4281262171","https://openalex.org/W4311862118","https://openalex.org/W4399499296","https://openalex.org/W4400038251","https://openalex.org/W4414118659","https://openalex.org/W4415225268","https://openalex.org/W4415754222","https://openalex.org/W4415869711","https://openalex.org/W4415898114","https://openalex.org/W4416020628","https://openalex.org/W4416127871"],"related_works":[],"abstract_inverted_index":{"As":[0],"China\u2019s":[1],"railway":[2,62],"network":[3],"expands,":[4],"the":[5,35,43,49,104,107,124,139,160],"complexity":[6],"of":[7,37,106,162,171,179],"tunnel":[8,39,63,90],"engineering":[9],"has":[10,114],"increased,":[11],"particularly":[12],"for":[13,96,155],"large":[14],"cross":[15,126],"section":[16],"and":[17,30,45,72,84,92,128,135,145,158,173],"small":[18,60],"spacing":[19,61],"tunnels.":[20],"These":[21],"tunnels":[22],"exhibit":[23],"significant":[24],"excavation":[25,40,50],"spans,":[26],"multiple":[27],"construction":[28,32],"stages,":[29],"interdependent":[31],"processes.":[33],"However,":[34],"effects":[36],"different":[38],"methods":[41,75,132],"on":[42,58],"deformation":[44,91],"stress":[46,136],"distribution":[47],"during":[48],"process":[51],"are":[52],"still":[53],"not":[54],"clear.":[55],"Therefore,":[56],"based":[57],"a":[59],"in":[64],"Chongqing,":[65],"this":[66],"study":[67],"employs":[68],"monitoring,":[69],"numerical":[70],"simulation,":[71],"machine":[73,108],"learning":[74,109],"[gray":[76],"wolf":[77],"optimizer":[78],"(GWO),":[79],"particle":[80],"swarm":[81],"optimization":[82,99],"(PSO),":[83],"genetic":[85],"algorithm":[86],"(GA)]":[87],"to":[88,118,138,169,177],"analyze":[89],"stress.":[93],"A":[94],"method":[95,141],"automatic":[97],"parameter":[98],"was":[100,164],"proposed,":[101],"which":[102],"improved":[103],"accuracy":[105],"prediction":[110],"model":[111,150],"(the":[112],"error":[113],"decreased":[115],"from":[116],"9.38%":[117],"0.67%).":[119],"The":[120,148],"results":[121],"indicate":[122],"that":[123,170,178],"center":[125],"diagram":[127],"double":[129],"side":[130],"drift":[131],"reduce":[133],"deformations":[134,157],"compared":[137,168,176],"bench":[140],"(reduced":[142],"by":[143,166,174],"55.03%":[144],"54.36%,":[146],"respectively).":[147],"GWO":[149,163],"demonstrates":[151],"superior":[152],"predictive":[153],"performance":[154],"vault":[156],"stress;":[159],"R2":[161],"increased":[165],"0.06":[167],"PSO":[172],"0.047":[175],"GA.":[180]},"counts_by_year":[],"updated_date":"2026-10-08T09:06:37.294493","created_date":"2025-12-16T00:00:00"}
