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. 10, No. 20, No. 40, No. 60, No. 100, and N- ercise Table 7.1 provides the weight of m d on each sieve and the fraction that pass ere

. 10, No. 20, No. 40, No. 60, No. 100, and N- ercise Table 7.1 provides the weight of m d on each sieve and the fraction that pass ere

Structural Analysis
Structural Analysis
6th Edition
ISBN:9781337630931
Author:KASSIMALI, Aslam.
Publisher:KASSIMALI, Aslam.
Chapter2: Loads On Structures
Section: Chapter Questions
Problem 1P
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how do you actually calculate D10 and D60 in c? is there a way to do it without plotiting the points in a calculator?

1. Grain size distribution curves: The following sieves were used to determine grain size distribution: No. 4, No. 10, No. 20, No. 40, No. 60, No. 100, and No. 200. Exercise Table 7.1 provides the weight of material retained on each sieve and the fraction that passed the No. 200 sieve. a. Complete the table by calculating the values based on the information supplied. b. Using five-cycle semilog paper, plot the grain size distribution for this sieve analysis. c. Give the D60 and the D10 values for this sieve analysis. Calculate the k value for this analysis using Hazen's approximation, which states that k (cm/sec) = 100D10² (D10 in mm). d. Calculate the coefficient of uniformity and the coefficient of curvature for this analysis. Is the sample well graded? Explain why or why not.
Transcribed Image Text:1. Grain size distribution curves: The following sieves were used to determine grain size distribution: No. 4, No. 10, No. 20, No. 40, No. 60, No. 100, and No. 200. Exercise Table 7.1 provides the weight of material retained on each sieve and the fraction that passed the No. 200 sieve. a. Complete the table by calculating the values based on the information supplied. b. Using five-cycle semilog paper, plot the grain size distribution for this sieve analysis. c. Give the D60 and the D10 values for this sieve analysis. Calculate the k value for this analysis using Hazen's approximation, which states that k (cm/sec) = 100D10² (D10 in mm). d. Calculate the coefficient of uniformity and the coefficient of curvature for this analysis. Is the sample well graded? Explain why or why not.
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