Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/19204
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dc.contributor.authorAbubakar, Mahmud-
dc.contributor.authorHaruna, M. I.-
dc.contributor.authorAbdulrahman, H. S.-
dc.contributor.authorAbbas, B. A.-
dc.date.accessioned2023-06-10T16:21:48Z-
dc.date.available2023-06-10T16:21:48Z-
dc.date.issued2023-05-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/19204-
dc.description.abstractThe production of industrial and agricultural residual by-products can generate significant environmental impact. In response, researchers have begun incorporating supplementary materials made from agro-industrial wastes to create more sustainable concrete. However, testing the performance of these waste-based concrete mixtures can be time-consuming and expensive. To address this issue, this study utilized three dimensional non-linear Finite Element simulation using the ABAQUS/CAE software to predict the behavior of a reinforced concrete beam that incorporated 20% IOT as partial sand replacement. The simulation successfully predicted the damage behavior of the 20% IOT concrete, indicating the potential of this modeling approach to accurately predict the performance of waste-based concrete mixtures in various designsen_US
dc.language.isoenen_US
dc.publisherAMiT, Arba Minch University, Ethiopiaen_US
dc.subjectABAQUSen_US
dc.subjectIron Ore Tailingsen_US
dc.subjectReinforced Concrete Beamen_US
dc.subjectNumerical Analysisen_US
dc.titleNumerical Investigation of Reinforced Concrete Beam Containing Iron Ore Tailings as Partial Replacement of Sanden_US
dc.typeArticleen_US
Appears in Collections:Civil Engineering

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