Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Mathematical Modeling for Evaluating the Mechanical Properties of High Strength Concrete with Natural Zeolite and Additives Subject The topic of the resource fly ash; high strength concrete; metakaolin; natural zeolite; regression analysis; silica fume Description An account of the resource The cement manufacturing industry is a major contributor to atmospheric pollution, primarily due to carbon dioxide emissions. Consequently, there is a pressing need to develop eco-friendly concrete capable of mitigating air pollution by sequestering atmospheric carbon dioxide. In this context, the incorporation of Natural Zeolite in concrete has been investigated, as it can absorb environmental carbon dioxide. This study explored the effects of partial cement replacement with Natural Zeolite (5%) and varying percentages of Silica Fume, Metakaolin, and Fly Ash (5%, 10%, and 15%) on the mechanical properties and carbon sequestration potential of High Strength Concrete (HSC). Comprehensive testing was conducted to evaluate the split tensile, compressive, and flexural strengths of the modified HSC. Experimental results indicated that the addition of Natural Zeolite and Metakaolin enhanced the strength of HSC, with Mix 3 displaying a higher 90-day compressive strength compared to the reference mix. The findings suggest that incorporating Natural Zeolite and other supplementary cementitious materials in concrete has the potential to alleviate environmental pollution. The dataset, comprising 900 samples, exhibited no autocorrelation or multicollinearity issues, making it suitable for multiple regression analysis. The statistically significant regression models developed in this study can effectively predict concrete strength. (2023). All Rights Reserved. Creator An entity primarily responsible for making the resource Iswarya G.; Matcha B. Source A related resource from which the described resource is derived Mathematical Modelling of Engineering Problems, Vol-10, No. 3, pp. 781-789. Publisher An entity responsible for making the resource available International Information and Engineering Technology Association Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.18280/mmep.100307" target="_blank" rel="noreferrer noopener">https://doi.org/10.18280/mmep.100307</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172349717&amp;doi=10.18280%2Fmmep.100307&amp;partnerID=40&amp;md5=74985c4845550511fa86c0076f6b10ff" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172349717&amp;doi=10.18280%2fmmep.100307&amp;partnerID=40&amp;md5=74985c4845550511fa86c0076f6b10ff</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 23690739 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Iswarya G., Department of Civil Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Matcha B., Department of Civil Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India