Document Type
Thesis
Date of Award
5-31-1988
Degree Name
Master of Science in Civil Engineering - (M.S.)
Department
Civil and Environmental Engineering
First Advisor
Raj P. Khera
Second Advisor
Paul C. Chan
Abstract
Often in construction jobs requiring controlled compaction, there is a delay involved in testing the soil sample to be used as a structural fill. Here a rational approach has been adopted to get these values from 600 test data available. Using these data, appropriate relationships between grain sizes, maximum dry densities and optimum moisture content were developed. From these, two tables were derived to estimate the maximum dry density and optimum moisture content based on grain size distribution.
In a fill control job, if the borrow pit happens to change, the field personnel could obtain soil samples and send them to the laboratory for sieve analysis and modified proctor test. Meanwhile to avoid delays, while these tests are being conducted, field personnel could estimate the percentages of gravel, sand, and silt in the fill. This can be accomplished using simple field techniques (ASTM D 2488-84). This procedure does not involve any elaborate apparatus. Once these percentages are estimated, it is possible to obtain the modified proctor density values using the tables with reasonable accuracy and field personnel could use these numbers until the actual numbers are determined in the laboratory. This way the delays arising out of changing borrow pits would be greatly reduced.
Recommended Citation
Damodaram, Ramesh, "Estimation of modified proctor densities based on visual identification" (1988). Theses. 3037.
https://digitalcommons.njit.edu/theses/3037
