{"id":"https://openalex.org/W7160107534","doi":"https://doi.org/10.1016/j.engappai.2026.114985","title":"Deep active sequential learning of stress evolution in early-age concrete informed by thermo-chemo-mechanical modelling","display_name":"Deep active sequential learning of stress evolution in early-age concrete informed by thermo-chemo-mechanical modelling","publication_year":2026,"publication_date":"2026-05-01","ids":{"openalex":"https://openalex.org/W7160107534","doi":"https://doi.org/10.1016/j.engappai.2026.114985"},"language":"en","primary_location":{"id":"doi:10.1016/j.engappai.2026.114985","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114985","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.engappai.2026.114985","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135242898","display_name":"Minfei Liang","orcid":"https://orcid.org/0000-0003-4982-0117"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]},{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Minfei Liang","raw_affiliation_strings":["Clarendon Laboratory, Department of Physics, University of Oxford, Oxford, OX1 3PU, UK","Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0003-4982-0117","affiliations":[{"raw_affiliation_string":"Clarendon Laboratory, Department of Physics, University of Oxford, Oxford, OX1 3PU, UK","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135125738","display_name":"Yong Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Fang","raw_affiliation_strings":["Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135236317","display_name":"Wenqi Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Guo","raw_affiliation_strings":["Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135144112","display_name":"Chuan He","orcid":"https://orcid.org/0000-0003-0612-5448"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan He","raw_affiliation_strings":["Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042668207","display_name":"Erik Schlangen","orcid":"https://orcid.org/0000-0001-5671-8888"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Erik Schlangen","raw_affiliation_strings":["Microlab, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, 2628CN, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microlab, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, 2628CN, the Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036438652","display_name":"Branko \u0160avija","orcid":"https://orcid.org/0000-0003-1299-1449"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Branko \u0160avija","raw_affiliation_strings":["Microlab, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, 2628CN, the Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-1299-1449","affiliations":[{"raw_affiliation_string":"Microlab, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, 2628CN, the Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5118213510","display_name":"Sonia Contera","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sonia Contera","raw_affiliation_strings":["Clarendon Laboratory, Department of Physics, University of Oxford, Oxford, OX1 3PU, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clarendon Laboratory, Department of Physics, University of Oxford, Oxford, OX1 3PU, UK","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036438652","https://openalex.org/A5135125738"],"corresponding_institution_ids":["https://openalex.org/I4800084","https://openalex.org/I98358874"],"apc_list":{"value":3170,"currency":"USD","value_usd":3170},"apc_paid":{"value":3170,"currency":"USD","value_usd":3170},"fwci":15.531,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.99073023,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"177","issue":null,"first_page":"114985","last_page":"114985"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12152","display_name":"Concrete Properties and Behavior","score":0.41909998655319214,"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/T12152","display_name":"Concrete Properties and Behavior","score":0.41909998655319214,"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/T10033","display_name":"Concrete and Cement Materials Research","score":0.14309999346733093,"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/T10161","display_name":"Rock Mechanics and Modeling","score":0.14270000159740448,"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/stress","display_name":"Stress (linguistics)","score":0.4456000030040741},{"id":"https://openalex.org/keywords/sequence-learning","display_name":"Sequence learning","score":0.3804999887943268},{"id":"https://openalex.org/keywords/sequential-analysis","display_name":"Sequential analysis","score":0.3711000084877014},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.33399999141693115},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.305400013923645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8421000242233276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4823000133037567},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.4456000030040741},{"id":"https://openalex.org/C40506919","wikidata":"https://www.wikidata.org/wiki/Q7452469","display_name":"Sequence learning","level":2,"score":0.3804999887943268},{"id":"https://openalex.org/C80478641","wikidata":"https://www.wikidata.org/wiki/Q195771","display_name":"Sequential analysis","level":2,"score":0.3711000084877014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33869999647140503},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33399999141693115},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C86426650","wikidata":"https://www.wikidata.org/wiki/Q7452504","display_name":"Sequential estimation","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.25440001487731934}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.engappai.2026.114985","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114985","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.engappai.2026.114985","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114985","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"},{"id":"https://openalex.org/F4320334953","display_name":"China National Funds for Distinguished Young Scientists","ror":"https://ror.org/01pab2602"},{"id":"https://openalex.org/F4320338448","display_name":"HORIZON EUROPE European Innovation Council","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1510052597","https://openalex.org/W1966217022","https://openalex.org/W1968288860","https://openalex.org/W1986178965","https://openalex.org/W1988292522","https://openalex.org/W1991885055","https://openalex.org/W1997079144","https://openalex.org/W2001217164","https://openalex.org/W2004199936","https://openalex.org/W2004501458","https://openalex.org/W2005773433","https://openalex.org/W2007535697","https://openalex.org/W2020809076","https://openalex.org/W2031946900","https://openalex.org/W2033792855","https://openalex.org/W2035072927","https://openalex.org/W2060372950","https://openalex.org/W2083606332","https://openalex.org/W2175815006","https://openalex.org/W2264941334","https://openalex.org/W2463324400","https://openalex.org/W2513115567","https://openalex.org/W2551923174","https://openalex.org/W2591246942","https://openalex.org/W2605871858","https://openalex.org/W2607220469","https://openalex.org/W2727657259","https://openalex.org/W2811498453","https://openalex.org/W2899982317","https://openalex.org/W2912934387","https://openalex.org/W2936611860","https://openalex.org/W2943692341","https://openalex.org/W2979821714","https://openalex.org/W2994998168","https://openalex.org/W3008008902","https://openalex.org/W3038415525","https://openalex.org/W3043806795","https://openalex.org/W3083164549","https://openalex.org/W3092657053","https://openalex.org/W3093895805","https://openalex.org/W3126673331","https://openalex.org/W3130154338","https://openalex.org/W3130785486","https://openalex.org/W3170280039","https://openalex.org/W3207942183","https://openalex.org/W4200187001","https://openalex.org/W4205942573","https://openalex.org/W4225127152","https://openalex.org/W4226014961","https://openalex.org/W4283066563","https://openalex.org/W4292810518","https://openalex.org/W4294659624","https://openalex.org/W4312204656","https://openalex.org/W4320040570","https://openalex.org/W4390384776","https://openalex.org/W4392528037","https://openalex.org/W4401477919","https://openalex.org/W4404012489","https://openalex.org/W4407954079","https://openalex.org/W4408392275","https://openalex.org/W4413029901","https://openalex.org/W4413291877","https://openalex.org/W4414053006","https://openalex.org/W7125682377","https://openalex.org/W7126412188"],"related_works":[],"abstract_inverted_index":{"This":[0,66],"study":[1],"presents":[2],"an":[3,17,44,167],"integrated":[4],"finite-element\u2013machine-learning":[5],"framework":[6,154],"for":[7,48,170],"predicting":[8],"early-age":[9],"stress":[10,63],"evolution":[11],"in":[12,52],"concrete":[13,180],"materials/structures":[14],"by":[15,60,124,143],"combining":[16],"enhanced":[18],"thermo-chemo-mechanical":[19],"(TCM)":[20],"model,":[21,94],"deep":[22],"sequential":[23],"learning":[24,28],"(DSL),":[25],"and":[26,43,76,108,157,175],"active":[27,144],"(AL).":[29],"The":[30,118],"proposed":[31,153],"TCM":[32],"model":[33,67,128],"incorporates":[34],"experimentally":[35],"informed":[36],"viscoelasticity,":[37],"a":[38,61,85,149],"stable":[39],"exponential":[40,46],"creep\u2013relaxation":[41],"conversion,":[42],"efficient":[45],"algorithm":[47],"the":[49,126,131,152,176],"Maxwell-chain":[50],"formulation":[51],"finite":[53],"element":[54],"analysis,":[55,174],"which":[56],"is":[57,155],"further":[58,121],"validated":[59],"temperature":[62],"testing":[64],"machine.":[65],"generates":[68],"high-fidelity":[69],"stress\u2013time":[70],"data":[71],"across":[72],"diverse":[73],"mixtures,":[74],"temperatures,":[75],"structural":[77,164],"configurations.":[78],"These":[79],"simulations":[80],"are":[81],"used":[82],"to":[83,129,159],"train":[84],"Gated":[86],"Recurrent":[87],"Unit":[88],"with":[89,115],"Monte":[90],"Carlo":[91],"Dropout":[92],"(GRU-MCD)":[93],"whose":[95],"predictive":[96],"performance":[97],"surpasses":[98],"conventional":[99],"point-wise":[100],"approaches":[101],"such":[102],"as":[103],"Light":[104],"Gradient":[105],"Boosting":[106],"Machine":[107],"Gaussian":[109],"Process":[110],"Regression,":[111],"yielding":[112],"higher":[113],"accuracy":[114,132],"reduced":[116],"overfitting.":[117],"AL":[119],"strategy":[120],"enhances":[122],"efficiency":[123],"enabling":[125],"GRU-MCD":[127],"achieve":[130],"of":[133,178],"\u223c900":[134],"Latin":[135],"Hypercube":[136],"samples":[137,141],"using":[138],"only":[139],"\u223c200":[140],"selected":[142],"learning.":[145],"Although":[146],"demonstrated":[147],"on":[148],"wall\u2013base":[150],"structure,":[151],"general":[156],"applicable":[158],"other":[160],"cementitious":[161],"material":[162],"or":[163],"systems,":[165],"providing":[166],"effective":[168],"tool":[169],"cracking-risk":[171],"evaluation,":[172],"reliability":[173],"design":[177],"low-carbon":[179],"structures.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-06-18T08:10:14.011955","created_date":"2026-05-05T00:00:00"}
