Prediction Dry Density of Soil from Some Physical and Chemical Properties

α
Dhurgham Abdul-Jaleel Rasool Al-Hamdani
Dhurgham Abdul-Jaleel Rasool Al-Hamdani
σ
Hana Mahmoud Amer Al-Kasaar
Hana Mahmoud Amer Al-Kasaar
ρ
Hussain Ali Muhammad Zani
Hussain Ali Muhammad Zani
α Al-Furat Al-Awsat Technical University

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Prediction Dry Density of Soil from Some Physical and Chemical Properties

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Abstract

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.

References

8 Cites in Article
  1. D Hall,M Reeve,A Thomasson,V Wright (1977). Water Retention, Porosity and Density of Field Soils.
  2. W Rawls,D Brakensiek,K Saxton (1981). Soil Water Characteristics.
  3. (1995). European Land Information Systems for Agro environmental Monitoring.
  4. J Wösten,A Nemes (1012). Pedotransfer functions for Europe.
  5. A Tanveera,A Tasawoor,Parvaiz Kanth,Mehrajuddin Tali,Naikoo (2016). Relation of Soil bulk Density with Texture, Total organic matter content and Porosity in the Soils of Kandi Area of Kashmir valley.
  6. Edward Fox (2004). Welcome to the Journal of Electronic Theses and Dissertations (J-ETD).
  7. R Pravin,Chaudhari,V Dodha,Ahire,D Vidya,Manab Ahire,Chkravarty,Sarojmaity (2013). Soil Bulk Density as related to Soil Texture, Organic Matter Content and available total Nutrients of Coimbatore Soil.
  8. S Shaw,M Mifsud,B Wagner,A Moureaux,J Bennett (1998). IMPNS Computations of the X-15 Flight Vehicle: A Validation and Verification.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

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): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-E Classification: FOR Code: 290899
Version of record

v1.2

Issue date

November 17, 2018

Language
en
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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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Prediction Dry Density of Soil from Some Physical and Chemical Properties

Dhurgham Abdul-Jaleel Rasool Al-Hamdani
Dhurgham Abdul-Jaleel Rasool Al-Hamdani Al-Furat Al-Awsat Technical University
Hana Mahmoud Amer Al-Kasaar
Hana Mahmoud Amer Al-Kasaar
Hussain Ali Muhammad Zani
Hussain Ali Muhammad Zani

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