1.Calculate D10 and Cu for graph "B". Indicate if the sample is well or poorly graded. Explain youranswerPercent passing by weight4030201006050900500803 212100 50U.S. standard sieve sizes3 1 34 628AM8 10 14 16 20 30 40 50 70 100 140 200B10 5Grain size millimeters1 0.51020300.1405060Cumulative percent retained by weight708090100Review the two graphs in classwork # 10. Calculate D10 and Cu for both graphs (label them "A" and"B"). Indicate if the samples are well or poorly graded. Explain.

Particle size distribution curve is given. We need to calculate D10 and Cu for soil A and B

1. Calculate D10 and Cu for graph "B". Indicate if the sample is well or poorly graded. Explain your answer Percent passing by weight 40 30 20 10 100 50 70 60 90 80 0 500 4 3 100 50 211 1 U.S. standard sieve sizes 3 4 6 A 3 4 1 3 2 T 810 14 16 20 30 40 50 70 100 140 200 B 10 5 Grain size millimeters 1 0.5 O 10 20 30 0.1 40 50 60 Cumulative percent retained by weight 70 80 90 100 Review the two graphs in classwork # 10. Calculate D10 and Cu for both graphs (label them "A" and "B"). Indicate if the samples are well or poorly graded. Explain.

1. Calculate D10 and Cu for graph "B". Indicate if the sample is well or poorly graded. Explain your answer Percent passing by weight 40 30 20 10 100 50 70 60 90 80 0 500 4 3 100 50 211 1 U.S. standard sieve sizes 3 4 6 A 3 4 1 3 2 T 810 14 16 20 30 40 50 70 100 140 200 B 10 5 Grain size millimeters 1 0.5 O 10 20 30 0.1 40 50 60 Cumulative percent retained by weight 70 80 90 100 Review the two graphs in classwork # 10. Calculate D10 and Cu for both graphs (label them "A" and "B"). Indicate if the samples are well or poorly graded. Explain.

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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The data set of the diameters of the metal cylinders manufactured an automatic machine has sample size of n=28, mean of x= 49.94 mm and std. of S = 0.15 mm. Expected diameter of metal cylinder is µ = 50.00 mm. Can we be 95% confident that machine calibrated properly? Solution: v=n-1=27 ; ta/2=? P[X for 2 S VR μ+ (a Sl Vi -1-a =0.95
Calculate the value of SS of the misxture.
SHOW COMPLETE SOLUTION PLS VALUES: Y = 53 A = 1 B = 5
Percent Diameter Sieve Size Passing in mm (%) 4 4.760 23 10 2.000 19 40 0.420 18 100 0.149 200 0.074 4 LL PL D10 0.50mm D30 9.50mm D60 27.50mm 5.
Given: Replacing the x and y (a) 8.51% (b) 10.15%
The following table shows the lab results of a sieve analysis and Atterberg limits for an inorganic soil sample. The Grain Size graph is attached. What is the soil USCS Designation symbol? Sieve Sample Passing Sieve Size Size/No. (mm) Percentages 3" 75 100% 3/4" 19 100% No. 4 4.75 45% No. 10 2 35% No. 20 0.850 0.630 No. 40 0.425 22% No, 60 0.250 18% No. 100 0.150 7% No. 200 0.075 3% 0.020 0.002 20% LL 1% PL
SHOW COMPLETE SOLUTION PLS VALUES:X = 425Y = 25 A = 5
Given the following data: B. Compact Unit Weight Determination Fine Aggregate a. Weight of measure, g. 300.00 b. Weight of measure + sample, g. 8,820.00 c. Weight of sample, g. (b) – (a) d. Volume of measure, cm e. Unit weight, g/cm 1.019 Determine the diameter in cm of the bucket if V=3.1416(d) (21.23)/4. Continues computation and write your answer in 2 decimal places O 22.39 O 32.29 O 23.92 O None of the abovel O 23.29
a. what is the effective size diameter? b. what is the uniformity coefficient? he following are the results of a sieve analysis. Sieve No. Opening Size (mm) Mass Retained (g) 4 4.750 28 10 2.000 42 20 0.850 48 40 0.425 128 60 0.250 221 100 0.150 86 200 0.075 40 Pan 24
5.28 Table P5.28 shows the grain size distributions of two aggregates A and B. TABLE P5.28 Sieve Size, mm 25 19 12.5 9.5 4.750 2.36 1.18 0.600 0.300 0.150 0.075 % Passing 100 Agg. A 92 76 71 53 38 32 17 10 5 3.0 % Passing 100 Agg. B 100 92 65 37 31 30 29 28 21 15.4 Answer the following questions and show all calculations: a. What are the maximum sizes of aggregates A and B? b. Is aggregate A well graded? Why? c. Is aggregate B well graded? Why? Note: In order to answer questions b and c, you need to plot the gradations on 0.45 gradation charts. You may create 0.45 power gradation charts using Excel or you may manually plot the data on a copy of Figure A.25. Determine the percent passing each sieve for the blended aggregate.
SHOW COMPLETE SOLUTION PLS VALUES: X = 853 A = 1 B = 5
Define Correlation with SPT N-Value