Modelling the compressive strength of non-proprietary ultra-high-performance fiber-reinforced concrete: A D-optimal mixture design approach

Modelling the compressive strength of non-proprietary ultra-high-performance fiber-reinforced concrete: A D-optimal mixture design approach | 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 Research Article Modelling the compressive strength of non-proprietary ultra-high-performance fiber-reinforced concrete: A D-optimal mixture design approach IME EMMANUEL JAMES, Fidelis Onyebuchi Okafor, Benjamin Okwudili Mama This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5369365/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 This study examines the compressive strength of an innovative non-proprietary ultra-high-performance fibre-reinforced concrete (UHPFRC) using an approach that combines experimental methods and mathematical modeling. The UHPFRC is developed using Portland limestone cement, river sand, rice husk ash, superplasticizer, recycled tire steel fibre, and water. This study aims to design, optimise, and develop prediction models that accurately predict the compressive strength of UHPFRC at 3, 7, 14, 28, 56, and 90 days, subjected to normal curing in water at 21 °C. A D-optimal mixture design approach was used to design the mixes. The laboratory test results of the mixes were studied, yielding prediction models that accurately predict the compressive strength of the UHPFRC with high values of the coefficient of multiple determinations (R 2 ), insignificant lack of fit test results, low coefficient of variation and standard deviation indicate the precision, reliability and consistency of the models. Numerical optimisation revealed that UHPFRC can be designed with less amount of cement (36%), and recycled tire steel fibre (6.258%), yielding compressive strengths of 83.3 MPa, 91.84 MPa, 99.30 MPa, 105.44 MPa, 108.62 MPa, and 111.79 MPa at 3, 7, 14, 28, 56, and 90 days of curing, respectively. The research outcomes suggest that incorporating rice husk ash and recycled tire steel fibres in UHPFRC not only improves the compressive strength but also promotes sustainability in the construction industry, addresses the issue of standard construction material scarcity, reduces construction material costs, and supports local UHPFRC manufacturing. Civil Engineering Ultrahigh-performance fibre-reinforced concrete Compressive strength D-optimal mixture design Optimization Modelling. Full Text Additional Declarations The authors declare no competing interests. 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-5369365","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":372767097,"identity":"44197766-8040-4ebb-a518-95e4354b1171","order_by":0,"name":"IME EMMANUEL JAMES","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA40lEQVRIiWNgGAWjYBACNiA2ADH4+ZsPACkJGeK1SM44lgDSwkO8dQYHcsBaCWvhEzt8oOBnjo09w4Ezn1/dqLHgYWA/fHQDXodJpyUY9m5LS2xs7t1mnXMM6DCetLQb+LXkGBjwbjucwMxwdptxDhtQiwSPGQEt+R8M/277b8/GkPPMOOcfUVpyGIx5tx1g7GHIYX6c20aUljQDY9ltyYkzJI6ZMef2SfCwEfKL/OzkZ4Zvt9nZ259vfvw551udHD/74WN4tYAsMoAxJMAkAeUgwPwAxvhAhOpRMApGwSgYgQAAXiFEhy6Cm6oAAAAASUVORK5CYII=","orcid":"https://orcid.org/0009-0004-8879-2563","institution":"UNIVERSITY OF NIGERIA, NIGERIA","correspondingAuthor":true,"prefix":"","firstName":"IME","middleName":"EMMANUEL","lastName":"JAMES","suffix":""},{"id":372767098,"identity":"1345ec5d-1603-4949-9d10-e3cece83afaf","order_by":1,"name":"Fidelis Onyebuchi Okafor","email":"","orcid":"","institution":"UNIVERSITY OF NIGERIA, NIGERIA","correspondingAuthor":false,"prefix":"","firstName":"Fidelis","middleName":"Onyebuchi","lastName":"Okafor","suffix":""},{"id":372767099,"identity":"d1f1bace-d428-4404-8620-aca6ad4d36f0","order_by":2,"name":"Benjamin Okwudili Mama","email":"","orcid":"","institution":"UNIVERSITY OF NIGERIA, NIGERIA","correspondingAuthor":false,"prefix":"","firstName":"Benjamin","middleName":"Okwudili","lastName":"Mama","suffix":""}],"badges":[],"createdAt":"2024-10-31 22:19:12","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-5369365/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5369365/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":68136449,"identity":"6d03e69d-b837-4c0f-9812-14849db2c603","added_by":"auto","created_at":"2024-11-04 03:39:50","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1169474,"visible":true,"origin":"","legend":"","description":"","filename":"ManuscriptDOUBLECOLUMN.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5369365/v1_covered_87fcdc10-5d29-424a-92a3-1fddb02adf19.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eModelling the compressive strength of non-proprietary ultra-high-performance fiber-reinforced concrete: A D-optimal mixture design approach\u003c/strong\u003e\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"University of Nigeria","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"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},"keywords":"Ultrahigh-performance fibre-reinforced concrete, Compressive strength, D-optimal mixture design, Optimization, Modelling.","lastPublishedDoi":"10.21203/rs.3.rs-5369365/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5369365/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study examines the compressive strength of an innovative non-proprietary ultra-high-performance fibre-reinforced concrete (UHPFRC) using an approach that combines experimental methods and mathematical modeling. The UHPFRC is developed using Portland limestone cement, river sand, rice husk ash, superplasticizer, recycled tire steel fibre, and water. This study aims to design, optimise, and develop prediction models that accurately predict the compressive strength of UHPFRC at 3, 7, 14, 28, 56, and 90 days, subjected to normal curing in water at 21 °C. A D-optimal mixture design approach was used to design the mixes. The laboratory test results of the mixes were studied, yielding prediction models that accurately predict the compressive strength of the UHPFRC with high values of the coefficient of multiple determinations (R\u003csup\u003e2\u003c/sup\u003e), insignificant lack of fit test results, low coefficient of variation and standard deviation indicate the precision, reliability and consistency of the models. Numerical optimisation revealed that UHPFRC can be designed with less amount of cement (36%), and recycled tire steel fibre (6.258%), yielding compressive strengths of 83.3 MPa, 91.84 MPa, 99.30 MPa, 105.44 MPa, 108.62 MPa, and 111.79 MPa at 3, 7, 14, 28, 56, and 90 days of curing, respectively. 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