Experimental–FEM Validation of ANN Models for One-Way HFRC Slabs

Experimental–FEM Validation of ANN Models for One-Way HFRC Slabs | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Experimental–FEM Validation of ANN Models for One-Way HFRC Slabs Panumas Saingam, Burachat Chatveera, Qudeer Hussain, Gritsada Sua-iam, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8277084/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Cement concrete is the most widely utilized construction material globally, recognized for its versatility, workability, and ability to create complex structural and non-structural components. Despite its extensive application, plain concrete exhibits inherent weaknesses, including low tensile strength, limited crack resistance, and brittleness caused by internal microcracking. These limitations highlight the need for enhancements in conventional cement concrete to satisfy the diverse structural and durability requirements of civil engineering. The incorporation of fibers in specific proportions has shown significant improvements in the mechanical properties of concrete. This study presents the validation of Artificial Neural Network (ANN) models, trained on 145 High-Performance Fiber-Reinforced Concrete (HFRC) samples, alongside the corresponding experimental results for one-way HFRC slabs and Finite Element Method (FEM) analyses on the behavior of 21 one-way slabs with varying volumetric proportions of steel and polypropylene fibers. One-way slabs underwent testing using a four-point bending method. Structural performance was evaluated based on strain, deflection, crack initiation, and ultimate failure load. Steel fibers were added in proportions ranging from 0.7% to 1.0% by volume, while polypropylene fibers were incorporated in increments of 0.1% to 0.9% at 0.2% intervals. Both Finite Element Analysis (FEA) and ANN predictions exhibited a strong correlation with experimental outcomes for the ultimate flexural load and mid-span deflection of the 21 reinforced concrete beams. FEA demonstrated remarkable quantitative precision, with minimal deviation from experimental results and a robust simulation of complex mechanical behaviors such as damage accumulation and ductility. Physical sciences/Engineering Physical sciences/Materials science One-way slabs Hybrid fibers Ductility Flexural strength Crack patterns ABAQUS ANN Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8277084","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":561141587,"identity":"0e0da0f1-c929-492a-b58c-257637e506af","order_by":0,"name":"Panumas Saingam","email":"","orcid":"","institution":"King Mongkut's Institute of Technology Ladkrabang","correspondingAuthor":false,"prefix":"","firstName":"Panumas","middleName":"","lastName":"Saingam","suffix":""},{"id":561141588,"identity":"75ae2516-ce12-45aa-988b-d5c14e34a8dd","order_by":1,"name":"Burachat Chatveera","email":"","orcid":"","institution":"Thammasat 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Despite its extensive application, plain concrete exhibits inherent weaknesses, including low tensile strength, limited crack resistance, and brittleness caused by internal microcracking. These limitations highlight the need for enhancements in conventional cement concrete to satisfy the diverse structural and durability requirements of civil engineering. The incorporation of fibers in specific proportions has shown significant improvements in the mechanical properties of concrete. This study presents the validation of Artificial Neural Network (ANN) models, trained on 145 High-Performance Fiber-Reinforced Concrete (HFRC) samples, alongside the corresponding experimental results for one-way HFRC slabs and Finite Element Method (FEM) analyses on the behavior of 21 one-way slabs with varying volumetric proportions of steel and polypropylene fibers. One-way slabs underwent testing using a four-point bending method. Structural performance was evaluated based on strain, deflection, crack initiation, and ultimate failure load. Steel fibers were added in proportions ranging from 0.7% to 1.0% by volume, while polypropylene fibers were incorporated in increments of 0.1% to 0.9% at 0.2% intervals. Both Finite Element Analysis (FEA) and ANN predictions exhibited a strong correlation with experimental outcomes for the ultimate flexural load and mid-span deflection of the 21 reinforced concrete beams. FEA demonstrated remarkable quantitative precision, with minimal deviation from experimental results and a robust simulation of complex mechanical behaviors such as damage accumulation and ductility.\u003c/p\u003e","manuscriptTitle":"Experimental–FEM Validation of ANN Models for One-Way HFRC Slabs","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-12-17 10:44:04","doi":"10.21203/rs.3.rs-8277084/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"e26202b6-a75d-459b-a4db-24c0568998b3","owner":[],"postedDate":"December 17th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":59743797,"name":"Physical sciences/Engineering"},{"id":59743798,"name":"Physical sciences/Materials science"}],"tags":[],"updatedAt":"2026-03-02T06:10:19+00:00","versionOfRecord":[],"versionCreatedAt":"2025-12-17 10:44:04","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8277084","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8277084","identity":"rs-8277084","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}