A Proposed Approach for Evaluating Soils Optimum Moisture Content Arithmetically and Use Statistical Functions for Checking Method

  • Authors

    • Azhar sadiq yasun
    • Jamal N. Al Abbasi
    2018-11-28
    https://doi.org/10.14419/ijet.v7i4.20.25941
  • Average Moisture Content, Kolmogorov-Smirnov, Maximum Dry Density, Optimum Moisture Content, Two Independent Samples T test.

  • The processing of optimum moisture  content for specific soils as indicated by ASTM D698 specifications detail relies upon developing the fitting third or second degree bend connection between dampness content versus soil dry unit weight on a fitting bend, the registered optimum moisture  substance may contrast for a similar soil as for fitting bend figure and its position. The main objective of this study is to evaluate the optimum moisture content value based on computing average moisture content adapted from standard or modified Proctor compaction test trials and compared it with respect to the computing optimum moisture content using standard method. The research deals with a (52) compaction tests results with a wide range of optimum moisture content and dry unit weight to explore the relationships between them. The study also explores the maximum dry density values which versus standard optimum moisture content and average adopted moisture content. Statistical part depends on evaluating many statistical function values for standard and research method starts by evaluating significance of normality using Kolmogorov-Smirnov test. The average differences between standard optimum moisture content and an average value (this study depends) for moisture content was about (-0.20) and an average of differences for dry unit weight values was (0.261).

     

     

  • References

    1. [1] Hua Chen, F., 2000. Soil Engineering. Testing, design and remediation, Florida: CRC Press LLC, p.68.

      [2] MacIver, B.N. and Hale, G.P., 1986. Laboratory Soils Testing. Change 2 (No. EM-1110-2-1906). Army Engineer Waterways Experiment Station Vicksburg Ms., Washington, D.C. 20314, p.126.

      [3] Das, B.M., 2002. Soil mechanics laboratory manual. New York, USA: Oxford university press, p.81.

      [4] K.S. NG, Y.M. Chew, M.H.Osman, and S.K. Mohamad Ghazali, 2015. Estimating Maximum Dry Density and Optimum Moisture Content of Compacted Soils, In: International Conference on Advances in Civil and Environmental Engineering, Penang: UiTM Pulau Pinang, pp.B1-9.

      [5] Statistical Package for the Social Sciences (SPSS), (2016), New York, IBM Company.

      [6] Smith, I., 2014. Smith's elements of soil mechanics. John Wiley & Sons p434-435.

      [7] K. Bera, Ashis and Chakraborty, Sourav. (2015). Compaction and Unconfined Compressive Strength of Sand Modified by Class F Fly Ash. Geomechanics and Engineering, An Int'l Journal Vol. 9 No.2.

      [8] ASTM Committee D-18 on Soil and Rock, 2007. Standard Test Methods for Laboratory Compaction Characteristics of Soil Using Standard Effort (12 400 Ft-lbf/ft3 (600 KN-m/m3)). ASTM International.

      [9] Bowles, J.E., 1992. Engineering properties of soils and their measurement. McGraw-Hill, Inc.

      [10] Talukdar, P., Sharma, B. and Shridharan, A., 2014. Static Method to Determine Compaction Characteristics of Soils.

      [11] Akritas, M.G., 2016. Probability & statistics with R for engineers and scientists. Boston, MA: Pearson.

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  • How to Cite

    sadiq yasun, A., & N. Al Abbasi, J. (2018). A Proposed Approach for Evaluating Soils Optimum Moisture Content Arithmetically and Use Statistical Functions for Checking Method. International Journal of Engineering & Technology, 7(4.20), 287-292. https://doi.org/10.14419/ijet.v7i4.20.25941