Correlation of Permeability Coefficient and Coefficient of Consolidation in Pontianak City’s Soft Soil

Authors

  • Ludgerus Department of Civil Engineering, Faculty of Engineering, Universitas Tanjungpura
  • Ahmad Faisal Department of Civil Engineering, Faculty of Engineering, Universitas Tanjungpura
  • R. M. Rustamaji Department of Civil Engineering, Faculty of Engineering, Universitas Tanjungpura

DOI:

https://doi.org/10.31629/jit.v2i2.3891

Keywords:

consolidation, correlation, permeability, regression, soft soil

Abstract

Soft soil is a type of soil that is difficult to use in construction because it has low bearing capacity and slow settlement due to its fine grain size. In statistics, the relationship or correlation between two data can be predicted using mathematical formulas to find out how much the two data can influence each other. Most of the soil on the surface of the city of Pontianak is dominated by soft soil, so it is important to know how much the coefficient of consolidation and coefficient of permeability can influence each other. From the results of the regression and correlation calculations, the relationship between the permeability coefficient and the consolidation coefficient for the combination of original soil and sand mixed soil is y = 674.7x + 0.0003 with a value of r = 0.4834. The relationship between the permeability coefficient and the original soil consolidation coefficient is y = 321.4x + 0.0003 with a value of r = 0.4173. The relationship between the coefficient of permeability and the coefficient of consolidation of the sand mixed soil is y = 1295.5x + 0.0003 with a value of r = 0.7994. from the experimental results it can be concluded that there is a significant influence between the value of the permeability coefficient and the consolidation coefficient.

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Published

2021-10-30

How to Cite

Ludgerus, Faisal, A., & Rustamaji, R. M. (2021). Correlation of Permeability Coefficient and Coefficient of Consolidation in Pontianak City’s Soft Soil. Journal of Innovation and Technology, 2(2), 34–39. https://doi.org/10.31629/jit.v2i2.3891

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