Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/3560
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dc.contributor.authorAlhaji, Mustapha Mohammed-
dc.contributor.authorAlhassan, Musa-
dc.contributor.authorTsado, Theophilus Yisa-
dc.contributor.authorMohammed, Yakubu A.-
dc.date.accessioned2021-06-17T20:10:10Z-
dc.date.available2021-06-17T20:10:10Z-
dc.date.issued2017-
dc.identifier.citationAlhaji, M. M., Alhassan, M., Tsado, T. Y., Mohammed, Y. A. and I. Tella (2017). Compression Index Prediction Models for Fine-grained Soil Deposits in Nigeria. Proceeding of the 2nd International Engineering Conference, Federal University of Technology, Minna, Nigeria, pp. 60-65en_US
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/3560-
dc.description.abstractCompression index prediction models for fine-grained soil deposits in Nigeria are presented. Correlation model equations, each for compression index, in terms of initial void ratio, product of initial void ratio and specific gravity, product of liquid limit and initial void ratio, quotient of percentage fine content and specific gravity, natural moisture content and liquid limit were considered using regression analysis. Values of coefficient of determination (R2) of the correlation models were used to evaluate the resulting models. The correlation models expressing compression index (cc) in term of initial void ratio (e0) and as a function of the product of specific gravity and initial void ratio gave R2 value of 73.5 and 70.1% respectively. The model expressing cc as a function of the product of liquid limit and initial void ratio has R2 value of 53.6%, while that as a function of the quotient of percentage fine content and specific gravity gave R2 value of 51.3%. Weak correlations exist between compression index and natural moisture content, and between compression index and liquid limit for fine-grained soil deposits in Nigeria.en_US
dc.language.isoenen_US
dc.publisherProceeding of the 2nd International Engineering Conference, Federal University of Technology, Minna, Nigeriaen_US
dc.subjectCoefficient of determination; Compression index; Fine content; Fine-grained soils; Prediction model; Initial void ratio; Specific gravityen_US
dc.titleCompression Index Prediction Models for Fine-grained Soil Deposits in Nigeriaen_US
dc.typeArticleen_US
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