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Synergistic Optimization of Mortar Performance and Carbon Footprint Reduction Using Quarry Wastes and Natural Pozzolana

2025-08-14Artigo científico Acesso aberto
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dc.contributor.authorDouadi, Abdellah
dc.contributor.authorMakhlouf, Ali
dc.contributor.authorBelebchouche, Cherif
dc.contributor.authorHebbache, Kamel
dc.contributor.authorBoutlikht, Mourad
dc.contributor.authorMoretti, Laura
dc.contributor.authorFaria, Paulina
dc.contributor.authorAbderazek, Hammoudi
dc.contributor.authorCzarnecki, Sławomir
dc.contributor.authorChajec, Adrian
dc.contributor.institutionCERIS - Polo NOVA
dc.contributor.institutionDEC - Departamento de Engenharia Civil
dc.contributor.pblMolecular Diversity Preservation International (MDPI)
dc.date.accessioned2025-11-07T21:50:37Z
dc.date.available2025-11-07T21:50:37Z
dc.date.issued2025-08-14
dc.descriptionPublisher Copyright: © 2025 by the authors.
dc.description.abstractThe construction industry increasingly integrates technological advancements to enhance efficiency and meet technical, environmental, and economic requirements. Self-compacting mortars are gaining popularity due to their superior fluidity, optimized compaction, and improved mechanical properties. This study explores the potential of statistical mix design methodology to optimize self-compacting mortars’ fresh properties and strength development by replacing up to 20% of cement with pozzolana, limestone, and marble powder. A self-compacting mortar repository was used to develop robust models predicting slump flow, compressive strength at 28 days, water absorption, and capillary absorption. Results indicate that marble powder mixtures exhibit superior slump flow, up to 9% higher than other formulations. Compressive strengths range from 50 MPa to 70 MPa. Pozzolana and marble-based mortars show 15% and 12% strength reductions compared to the limestone-based mix, respectively. Water absorption increases slightly for mortars with marble (+2%) or pozzolana (+3%). The mortar containing marble powder has the lowest sorptivity coefficient due to its high specific surface area. The statistical analysis was conducted using a mixture design approach based on a second-order polynomial regression model. ANOVA results for the studied responses indicate that the calculated F-values exceed the critical thresholds, with p-values below 0.05 and R-squared values above 0.83, confirming the robustness and predictive reliability of the developed models. Life cycle assessment reveals that cement production accounts for over 80% of the environmental impact. Partial replacement with pozzolana, limestone, and marble powder reduces up to 19% of greenhouse gas emissions and 17.22% in non-renewable energy consumption, demonstrating the environmental benefits of optimized formulations.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent31
dc.format.extent14201209
dc.identifier.doi10.3390/su17167346
dc.identifier.issn2071-1050
dc.identifier.otherPURE: 129909659
dc.identifier.otherPURE UUID: 3ff8b144-e7ea-4d75-a673-883a5729760a
dc.identifier.otherScopus: 105014449100
dc.identifier.otherWOS: 001558309000001
dc.identifier.otherORCID: /0000-0003-0372-949X/work/196362816
dc.identifier.urihttp://hdl.handle.net/10362/190319
dc.identifier.urlhttps://www.scopus.com/pages/publications/105014449100
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:001558309000001
dc.language.isoeng
dc.peerreviewedyes
dc.subjectANOVA
dc.subjectLife cycle assessment
dc.subjectMechanical properties
dc.subjectOptimization
dc.subjectSelf-compacting mortar
dc.subjectComputer Science (miscellaneous)
dc.subjectGeography, Planning and Development
dc.subjectRenewable Energy, Sustainability and the Environment
dc.subjectEnvironmental Science (miscellaneous)
dc.subjectEnergy Engineering and Power Technology
dc.subjectHardware and Architecture
dc.subjectComputer Networks and Communications
dc.subjectManagement, Monitoring, Policy and Law
dc.subjectSDG 7 - Affordable and Clean Energy
dc.subjectSDG 12 - Responsible Consumption and Production
dc.titleSynergistic Optimization of Mortar Performance and Carbon Footprint Reduction Using Quarry Wastes and Natural Pozzolanaen
dc.title.subtitleA Statistical and Experimental Studyen
dc.typejournal article
degois.publication.firstPage1
degois.publication.issue16
degois.publication.lastPage31
degois.publication.titleSustainability (Switzerland)
degois.publication.volume17
dspace.entity.typePublication
rcaap.rightsopenAccess

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