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A new approach to predict the porosity of pervious concrete at its fresh state

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dc.contributor.author Kariapper, ABY
dc.contributor.author Nanayakkara, D
dc.contributor.editor Chathuranga, D
dc.date.accessioned 2022-09-01T05:20:28Z
dc.date.available 2022-09-01T05:20:28Z
dc.date.issued 2018-05
dc.identifier.citation A. B. Y. Kariapper and D. Nanayakkara, "A New Approach to Predict the Porosity of Pervious Concrete at Its Fresh State," 2018 Moratuwa Engineering Research Conference (MERCon), 2018, pp. 173-178, doi: 10.1109/MERCon.2018.8421982. en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/18809
dc.description.abstract A mathematical formula was derived to predict the porosity of pervious concrete (PC) at its fresh state. Coarse aggregates (CA) within the size ranges of 0.016-0.02m and 0.01- 0.014m were used in the study. Pervious concrete was mixed for two stages. A w-c ratio of 0.3 was used in the study. A scaling factor was defined to represent the thickness of cement paste coated around CA. The scaling factor is independent of the size of CA used and their volume based binary combinations. The percentage difference between the two scaling factor values obtained for CA having a size of 0.01-0.014m was calculated to be 1.14 percent. The tested wet density in all PC batches made in the first stage was approximately 170-264kg/m3 lesser than the designed wet density. The difference between the tested porosity values and the porosity values calculated by the mathematical model has been developed is approximately 0.01-0.015m3 for all pervious concrete batches. It was observed that as the scaling factor increases the wet density increases and the porosity reduces. The porosity values calculated by the mathematical model and the tested porosity show a very strong linear relationship. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.uri https://ieeexplore.ieee.org/document/8421982 en_US
dc.subject Mathematical formula en_US
dc.subject binary combination en_US
dc.subject scaling factor en_US
dc.subject mathematical model en_US
dc.title A new approach to predict the porosity of pervious concrete at its fresh state en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Engineering Research Unit, University of Moratuwa en_US
dc.identifier.year 2018 en_US
dc.identifier.conference 2018 Moratuwa Engineering Research Conference (MERCon) en_US
dc.identifier.place Moratuwa, Sri Lanka en_US
dc.identifier.pgnos pp. 173-178 en_US
dc.identifier.proceeding Proceedings of 2018 Moratuwa Engineering Research Conference (MERCon) en_US
dc.identifier.email ra-benazir@uom.lk en_US
dc.identifier.email dn@civil.mrt.ac.lk en_US
dc.identifier.doi 10.1109/MERCon.2018.8421982 en_US


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