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    Estimating compaction behavior of fine-grained soils based on compaction energy
    (CANADIAN SCIENCE PUBLISHING, NRC RESEARCH PRESS, 2008) Sivrikaya, Osman; Togrol, Ergun; Kayadelen, Cafer
    For successful designs of geotechnical structures, rational determination of the engineering properties of soils is an important process. In this context, compaction parameters, maximum dry unit weight (gamma(dmax)), and optimum water content (w(opt)) are required to be determined at various compaction energies. This paper proposes correlation equations that relate gdmax and wopt obtained from standard Proctor (SP) and modified Proctor ( MP) tests to the index properties. To develop accurate relations, the data collected from the literature and the authors' own database have been used. It has been found that while wopt has the best correlation with plastic limit (w(p)), gamma(dmax) can be estimated more accurately from w(opt) than it can from w(p). In addition, the empirical methods including compaction energy (E) are described for estimating w(opt) and gamma(dmax) of fine-grained soils. The variables of the developed models for wopt and gamma(dmax) are w(p), E, and w(opt). It has been shown that the proposed correlations including the compaction energy will be useful for a preliminary design of a project where there is a financial constraint and limited time.
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    PREDICTION OF THE COMPACTION PARAMETERS FOR COARSE-GRAINED SOILS WITH FINES CONTENT BY MLR AND GEP
    (UNIV MARIBOR, 2013) Sivrikaya, Osman; Kayadelen, Cafer; Cecen, Emre
    The determination of the compaction parameters of soils, the maximum dry unit weight (gamma(dmax)) and the optimum water content (w(opt)), at various compaction energy (E) levels is an important process. The aim of this study is to develop correlations in order to estimate the compaction parameters dependent on the compaction energy for coarse-grained soils with various fines contents on which limited studies exist in the literature. Genetic Expression Programming (GEP) and Multi Linear Regression (MLR) analyses are used in the derivation of the correlations for the prediction of gamma(dmax) and w(opt) obtained from Standard Proctor (SP) and Modified Proctor (MP) tests with the index properties of coarse-grained soils with various fines contents. To develop the models, a total of 86 data sets collected from university laboratories in Turkey and six parameters, such as gravel content (G %), sand content (S %), fines content (FC %), liquid limit (w(L) %) and plasticity index (I-P %) of fines content and compaction energy (E Joule), are used. The performance of the models is comprehensively examined using several statistical verification tools. The results revealed that the GEP and MLR models are fairly promising approaches for the prediction of the maximum dry unit weight and the optimum water content of cohesionless soils with various fines contents at SP and MP compaction energy levels. The proposed correlations are reasonable ways to estimate the compaction parameters for the preliminary design of a project where there are financial and time limitations.
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    Prediction of the compaction parameters for coarse-grained soils with fines content by MLR and GEP
    (2013) Sivrikaya, Osman; Kayadelen, Cafer; Cecen, Emre
    The determination of the compaction parameters of soils, the maximum dry unit weight (?dmax) and the optimum water content (wopt), at various compaction energy (E) levels is an important process. The aim of this study is to develop correlations in order to estimate the compaction parameters dependent on the compaction energy for coarse-grained soils with various fines contents on which limited studies exist in the literature. Genetic Expression Programming (GEP) and Multi Linear Regression (MLR) analyses are used in the derivation of the correlations for the prediction of ?dmax and wopt obtained from Standard Proctor (SP) and Modified Proctor (MP) tests with the index properties of coarse-grained soils with various fines contents. To develop the models, a total of 86 data sets collected from university laboratories in Turkey and six parameters, such as gravel content (G %), sand content (S %), fines content (FC %), liquid limit (wL %) and plasticity index (IP %) of fines content and compaction energy (E Joule), are used. The performance of the models is comprehensively examined using several statistical verification verification tools. The results revealed that the GEP and MLR models are fairly promising approaches for the prediction of the maximum dry unit weight and the optimum water content of cohesionless soils with various fines contents at SP and MP compaction energy levels. The proposed correlations are reasonable ways to estimate the compaction parameters for the preliminary design of a project where there are financial and time limitations. Copyright © 2014, AGS.