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The prediction of dry density play important role in projects or major or laboratory tests which required to estimates the value of dry density for cohesion less soils to decision of the solution of these soils or conducting tests. In this paper, an attempt utilized to predict the value cohesion less soil form known some physical and chemical properties of soil such as technical institute Laboratory which conducted for ninety nine cohesion less soil samples. These tests may classify aseasier, cheaper and low time consume when compared with laboratory dry density tests. The results show many correlation models depending on the independent variables constricted to estimate the dry density of soil. The highest coefficient of determination resulted from this study is 0.92 for multiple regression analysis. In this case nine soil property correlated to gathers to estimate the dry density. This value may decrease when the independent variable are decrease than nine soil property.
Dhurgham Abdul-Jaleel Rasool Al-Hamdani. 2018. \u201cPrediction Dry Density of Soil from Some Physical and Chemical Properties\u201d. Global Journal of Research in Engineering - E: Civil & Structural GJRE-E Volume 18 (GJRE Volume 18 Issue E2): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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Total Score: 103
Country: Iraq
Subject: Global Journal of Research in Engineering - E: Civil & Structural
Authors: Dhurgham Abdul-Jaleel Rasool Al-Hamdani, Hana Mahmoud Amer Al-Kasaar, Hussain Ali Muhammad Zani (PhD/Dr. count: 0)
View Count (all-time): 176
Total Views (Real + Logic): 3041
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Publish Date: 2018 11, Sat
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The prediction of dry density play important role in projects or major or laboratory tests which required to estimates the value of dry density for cohesion less soils to decision of the solution of these soils or conducting tests. In this paper, an attempt utilized to predict the value cohesion less soil form known some physical and chemical properties of soil such as technical institute Laboratory which conducted for ninety nine cohesion less soil samples. These tests may classify aseasier, cheaper and low time consume when compared with laboratory dry density tests. The results show many correlation models depending on the independent variables constricted to estimate the dry density of soil. The highest coefficient of determination resulted from this study is 0.92 for multiple regression analysis. In this case nine soil property correlated to gathers to estimate the dry density. This value may decrease when the independent variable are decrease than nine soil property.
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