International Journal of Earth Sciences and Engineering

Anil Kumar ¹, Varghese George ¹, Sriram Marathe ²

Affiliations
1 Deptt. of Civil Engg., National Institute of Technology Karnataka, Mangalore-575025, IN
2 NITK, Surathkal, IN

Abstract

Design and construction of highway embankments constitute a major component of highway engineering science. Poor sub-grade strength, overloading due to traffic loads, and seismic vibrations can cause distress to pavement sub-grades and embankments. Inadequate compaction and poor sub soil drainage, in addition to low bearing strength of soils cause failure of embankments especially in submersible regions. The present study is focused on performing investigations on the engineering properties of lateritic and lithomargic soils and the effect of fines on soil strength. Tests such as California Bearing Ratio (CBR), tests for unconfined compressive strength (UCS), and tri-axial tests are carried to study the strength behavior of soil on addition of lithomargic soils. Additionally, the development of regressions will help field engineers in estimating the value of the CBR based on simple laboratory experiments such as Unconfined Compression strength test, and the Tri-axial test.

Keywords

Lateritic Soil, Lithomargic Soils, California Bearing Ratio, Unconfined Compressive Strength.

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Varghese George ¹, Purumala Snehith ¹, Ishan S. Tamhane ¹, Sreeja Reddy ¹, P. G. Ranjusha ¹, Marsh M. Bandi ¹, Akash Anand ¹

Affiliations
1 Department of Civil Engineering, National Institute of Technology Karnataka, Mangalore-575025, IN

Abstract

Statistical methods can be employed effectively in analyzing and interpreting observed phenomenon such as traffic arrivals, headways, and vehicular speeds. This paper describes the application of statistical distributions in fitting observed data on speed and headways for specific midblock sections in Mangalore city. As part of this exercise, the relevant data were collected, and attempts were made to fit the normal, log-normal, Erlang, negative exponential and the shifted exponential distributions to the observed traffic data. The best fitting statistical distributions were identified using the Chi-square tests and the Kolmonogrov-Smirnov (K-S) tests for goodness of fit. The findings of this study will further assist researchers in adopting the best approach in modeling urban road traffic especially in mixed traffic conditions comprising various combinations of fast and slow moving vehicles.

Keywords

Statistical Distributions, Speed, Headway, Mangalore.

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