{"id":"https://openalex.org/W4226286576","doi":"https://doi.org/10.1145/3507548.3507611","title":"Artificial Neural Network with Sensitivity Analysis: Predicting the Flexural Strength of Concrete Pavement using Locally Sourced Dilapidated Concrete as Partial Replacement","display_name":"Artificial Neural Network with Sensitivity Analysis: Predicting the Flexural Strength of Concrete Pavement using Locally Sourced Dilapidated Concrete as Partial Replacement","publication_year":2021,"publication_date":"2021-12-04","ids":{"openalex":"https://openalex.org/W4226286576","doi":"https://doi.org/10.1145/3507548.3507611"},"language":"en","primary_location":{"id":"doi:10.1145/3507548.3507611","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3507548.3507611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"},"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/A5038313754","display_name":"Cristy Manahan Malasan","orcid":null},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Cristy Manahan Malasan","raw_affiliation_strings":["Mapua University, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mapua University, Philippines","institution_ids":["https://openalex.org/I137967721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042985761","display_name":"Bernard S. Villaverde","orcid":null},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Bernard S. Villaverde","raw_affiliation_strings":["Mapua University, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mapua University, Philippines","institution_ids":["https://openalex.org/I137967721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037965570","display_name":"Dario Landa-Silva","orcid":"https://orcid.org/0000-0002-9499-6827"},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Dante L. Silva","raw_affiliation_strings":["Mapua University, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mapua University, Philippines","institution_ids":["https://openalex.org/I137967721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041886187","display_name":"Kevin Lawrence M. de Jesus","orcid":"https://orcid.org/0000-0002-7474-0090"},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Kevin Lawrence M. de Jesus","raw_affiliation_strings":["Mapua University, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mapua University, Philippines","institution_ids":["https://openalex.org/I137967721"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I137967721"],"apc_list":null,"apc_paid":null,"fwci":0.5853,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.66343537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"408","last_page":"414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11847","display_name":"Recycled Aggregate Concrete Performance","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11847","display_name":"Recycled Aggregate Concrete Performance","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9965999722480774,"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/T10687","display_name":"Innovative concrete reinforcement materials","score":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.7298277020454407},{"id":"https://openalex.org/keywords/flexural-strength","display_name":"Flexural strength","score":0.6700175404548645},{"id":"https://openalex.org/keywords/abrasion","display_name":"Abrasion (mechanical)","score":0.6581194996833801},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5420944690704346},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.5397014021873474},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44555026292800903},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.41896945238113403},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2846369743347168},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.2841185927391052},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.20540529489517212},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11556673049926758}],"concepts":[{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.7298277020454407},{"id":"https://openalex.org/C178405089","wikidata":"https://www.wikidata.org/wiki/Q857201","display_name":"Flexural strength","level":2,"score":0.6700175404548645},{"id":"https://openalex.org/C118231568","wikidata":"https://www.wikidata.org/wiki/Q3819233","display_name":"Abrasion (mechanical)","level":2,"score":0.6581194996833801},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5420944690704346},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.5397014021873474},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44555026292800903},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.41896945238113403},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2846369743347168},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2841185927391052},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.20540529489517212},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11556673049926758},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3507548.3507611","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3507548.3507611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2026984331","https://openalex.org/W2120505807","https://openalex.org/W2551200462","https://openalex.org/W2564544600","https://openalex.org/W2786974780","https://openalex.org/W2907920374","https://openalex.org/W2995957777","https://openalex.org/W3096969616","https://openalex.org/W4239151027"],"related_works":["https://openalex.org/W2328498713","https://openalex.org/W2358880141","https://openalex.org/W1537428095","https://openalex.org/W2158582201","https://openalex.org/W2318545402","https://openalex.org/W2132097729","https://openalex.org/W2369181525","https://openalex.org/W2352153045","https://openalex.org/W1967772034","https://openalex.org/W2357379189"],"abstract_inverted_index":{"Concrete":[0],"is":[1,7,17,54,107,191],"a":[2,39,57],"non-recyclable":[3],"material,":[4],"and":[5,73,137,154,203],"aggregate":[6,33],"one":[8,99],"of":[9,51,68,76,83,87,114,134,141,144,150,196,208],"the":[10,14,20,74,80,84,92,111,120,123,127,132,135,139,145,148,151,161,168,173,182,194,197,205,209],"significant":[11],"components.":[12],"As":[13],"construction":[15],"industry":[16],"getting":[18],"better,":[19],"necessity":[21],"for":[22,187],"aggregates":[23,44,72],"also":[24,125],"gets":[25],"wider.":[26],"Previous":[27],"study":[28,106],"suggests":[29],"that":[30,160],"recycled":[31],"concrete":[32,46,62,88,109,121,162],"(RCA)":[34],"can":[35],"be":[36],"used":[37,94,103],"as":[38],"sustainable":[40],"alternative":[41],"to":[42,55,60,97,130,193],"regular":[43],"in":[45,104],"paving":[47],"mixtures.":[48],"The":[49,157],"focus":[50],"this":[52,105],"research":[53],"generate":[56],"mathematical":[58,81],"model":[59,82,184,198],"forecast":[61],"flexure":[63,85,142,170,189],"strength":[64,86,143,171,190],"using":[65,199],"certain":[66],"percentages":[67],"RCA":[69,102,136,166],"substituted":[70],"natural":[71],"age":[75,149],"concrete.":[77],"To":[78],"develop":[79],"pavement":[89],"containing":[90],"RCA,":[91],"researcher":[93,124],"two-input":[95],"parameters":[96],"meet":[98],"output":[100],"parameter.":[101],"dilapidated":[108],"from":[110,185],"Barangay":[112],"roads":[113],"Nueva":[115],"Ecija":[116],"Province,":[117],"Philippines.":[118],"Before":[119],"mix,":[122],"did":[126],"L.A.":[128],"abrasion":[129],"test":[131],"abrasiveness":[133],"investigate":[138],"development":[140],"specimen":[146],"at":[147],"7th,":[152],"21st,":[153],"28th":[155,179],"days.":[156],"results":[158],"show":[159],"mixture":[163],"with":[164],"50%":[165],"gained":[167],"highest":[169],"among":[172],"four":[174],"design":[175,210],"mixtures":[176],"on":[177,204],"its":[178],"day.":[180],"Furthermore,":[181],"derived":[183],"ANN":[186],"predicting":[188],"compared":[192],"performance":[195,207],"multiple":[200],"linear":[201],"regression":[202],"actual":[206],"mixture.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}