Predicting strength behaviour of stabilized lateritic soil–ash matrix using regression model for hydraulically bound materials purposes

Simple item page
dc.contributor.authorChibuzor Onyelowe, Kennedy
dc.contributor.authorBui Van, Duc
dc.date.accessioned2022-09-12T13:43:17Z
dc.date.available2022-09-12T13:43:17Z
dc.date.issued2018
dc.description.abstractThe multiple regression relationship models were applied on the strength properties of the treated lateritic soil to deduce models. These models were verified to be valid to be applied under different test conditions to determine the dependent variables of the compaction, Atterberg, California bearing ratio and unconfined compression tests. The results showed that the behaviour of the variables under laboratory condition was in tandem with the regression model results. This is a strong indication that the regression model can be applied in the field of soil stabilization in a statistical engineering application to predict consistent values to determine treatment variations.en_US
dc.identifier.citationOnyelowe, K. C., & Bui Van, D. (2018). Predicting strength behaviour of stabilized lateritic soil-ash matrix using regression model for hydraulically bound materials purposes. International Journal of Pavement Research and Technology, 40. https://doi.org/10.1016/j.ijprt.2018.08.004en_US
dc.identifier.urihttps://doi.org/10.1016/j.ijprt.2018.08.004
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/4694
dc.language.isoenen_US
dc.publisherInternational Journal of Pavement Research and Technologyen_US
dc.subjectRegression modelen_US
dc.subjectHydraulically bound materialen_US
dc.subjectStrength behaviouren_US
dc.subjectLateritic soil-ash matrixen_US
dc.subjectPozzolanic reactionen_US
dc.subjectCementitious materialen_US
dc.titlePredicting strength behaviour of stabilized lateritic soil–ash matrix using regression model for hydraulically bound materials purposesen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Predicting strength behaviour of.pdf
Size:
780.52 KB
Format:
Adobe Portable Document Format
Description:
Article
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Engineering and Technology