As a geotechnical engineer working on the design of a water reservoir, you are given the task ofidentifying the suitable location for a reservoir construction. Sieve and hydrometer analyses have beenconducted for the mechanical analysis of the soil samples obtained from four local sites. The results ofthe analyses are shown below (which are the same soils you used for Homework #3):Soil A% finer byweightSoil B% finer byweightSoil C% finer byweightSoil D% finer byweightSieve No.or size75 mm38 mm19 mm1009386100979.5 mm8079No. 47435100No. 1070631996No. 20888No. 404780No. 6010022172No. 10097106053No. 1409140No. 20073230.04 mm39150.02 mm0.01 mm21101040.005 mm710.002 mm6LL (%)PL (%)311519Determine the soil classification of each soil by group symbol according to the Unified SoilClassification System (USCS).Soil ASoil BSoil CSoil DClassification

Soil-AUSCS soil clsssification:ILook at the % passing through sieve no 200=73>50%⇒FINE GRAINED…

Answered: Voir construction. Sieve and hydrometer…

Voir construction. Sieve and hydrometer analyses h- nechanical analysis of the soil samples obtained from four local sites. The r wn below (which are the same soils you used for Homework #3):

Principles of Geotechnical Engineering (MindTap Course List)

9th Edition

ISBN:9781305970939

Author:Braja M. Das, Khaled Sobhan

Publisher:Braja M. Das, Khaled Sobhan

Chapter17: Subsoil Exploration

Section: Chapter Questions

Problem 17.1P

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Since laboratory or field experiments are generally expensive and time consuming, geotechnical engineers often have to rely on empirical relationships to predict design parameters. Section 6.6 presents such relationships for predicting optimum moisture content and maximum dry unit weight. Let us use some of these equations and compare our results with known experimental data. The following table presents the results from laboratory compaction tests conducted on a wide range of fine-grained soils using various compactive efforts (E). Based on the soil data given in the table, determine the optimum moisture content and maximum dry unit weight using the empirical relationships presented in Section 6.6. a. Use the Osman et al. (2008) method [Eqs. (6.15) through (6.18)]. b. Use the Gurtug and Sridharan (2004) method [Eqs. (6.13) and (6.14)]. c. Use the Matteo et al. (2009) method [Eqs. (6.19) and (6.20)]. d. Plot the calculated wopt against the experimental wopt, and the calculated d(max) with the experimental d(max). Draw a 45 line of equality on each plot. e. Comment on the predictive capabilities of various methods. What can you say about the inherent nature of empirical models?
Given the following Sieve Analysis and Atterberg limits results. Answer the following questions: 1- What is the effective diameter of this soil? 2- Calculate the uniformity coefficient and coefficient of gradation 3- Determine the percentage of Gravel, Sand, Fine soils according to USCS. 4- Classify the soil using AASHTO (with GI) & USCS (with group name). Diameter Sieve # % Passing 100 (тm) 90 4 4.75 96 80 3.35 90 70 10 78.8 60 20 0.85 56.8 50 40 0.425 37.8 40 60 0.25 23.6 30 100 0.15 13 20 200 0.075 4.6 10 Рan LL 10 10 0.1 0.01 Diameter PL 5 Percent Passing (%) 2.
The results of the sieve analysis of a non plastic soil is tabulated below. Classify the soil according to AASHTO classification system and unified soil classification systems (USCS). Diameter (mm) 4.75 % Passing 100 2.0 0.85 0.425 98 92 12 0.150 0.075 4 2 D10 D30 D60 0.39 0.51 0.62
Geotechnical Engineering Please help me answer this question, and please show your solutions write it properly. Problem 1 A soil sample has moist unit weight equal to 16.5 kN/m3), water content of 15%, and specific gravity of 2.70. Find the dry unit weight and the void ratio for this soll Problem 2 A soil sample has a total unit weight of 16.5 KN/m3 and a void ratio of 0.84 The specific gravity of solids is 2.70. Determine the degree of saturation and the moisture content of the soil.
5. The following information is obtained from a sieve analysis to determine the range of particle sizes in a granular soil sample. Sieve Size Sieve Opening (4.76) Percent Finer # 4 4.76 96 #10 2.00 80 #20 0.84 51 # 40 0.42 38 #60 0.25 25 #100 0.149 12 #200 0.074 Present the information as grain-size curve on semi-logarithmic coordinates of percent finer against particle size diameter. From the plot, determine the uniformity coefficient Cu.
The given data shows a sieve analysis of a soil sample. Classify the soil using AASHTO Method. Tables are provided below. Sieve No. Diameter (mm) Percent Passing No. 4 4.760 100 No. 8 2.380 100 No. 10 2.000 95 No. 20 0.840 81 No. 40 0.420 74 No. 60 0.250 69 No. 100 0.150 55 No. 200 0.075 51 Characteristics of No. 40 Fraction LL 48 PL 40 A. A-5(3) B. A-7-5(4) C. None of these. D. A-5(4) E. A-7-6(3)
Question 44 The given data shows a sieve analysis of a soil sample. Classify the soil using AASHTO Method. Tables are provided below. Sieve No. Diameter (mm) Percent Passing No 4 4.760 99 No. 8 2.380 91 No. 10 2.000 90 No. 20 0.840 85 No. 40 0.420 81 No. 60 0.250 79 No. 100 0.150 67 No. 200 0.075 60 Characteristics of No. 40 Fraction LL 39 PL 32 General classification Granular materials (35% or less of total sample passing No. 200) A-1 A-2 Group classification Sieve analysis (percent passing) No. 10 A-1-a A-1-b A-3 A-2-4 A-2-5 A-2-6 A-2-7 50 max. 30 max. 15 max. No. 40 50 max. 25 max. 51 min. 10 max. No. 200 35 max. 35 max. 35 max. 35 max. Characteristics of fraction passing No. 40 Liquid limit Plasticity index 40 max. 10 max. 41 min. 40 max. 11 min. 41 min. 11 min. 6 max. NP 10 max. Usual types of significant constituent Stone fragments, gravel, and sand Fine Silty or clayey gravel and sand sand materials ESC F4 FS F6 F7 FB F9 & 61 A4TECH Y P G J K 国因

Question 44 The given data shows a sieve analysis of a soil sample. Classify the soil using AASHTO Method. Tables are provided below. Sieve No. Diameter (mm) Percent Passing No. 4 No. 8 No. 10 No. 20 4.760 96 2.380 80 2.000 78 0.840 61 No. 40 0.420 56 No. 60 0.250 48 No. 100 0.150 39 No. 200 0.075 33 Characteristics of No. 40 Fraction LL 45 PL 36 General classification Granular materials (35% or less of total sample passing No. 200) A-I A-2 Group classification A-l-a A-1-5 A3 A-24 A-25 A-2-6 A-2-7 Sieve analysis (percent passing) No. 10 No. 40 No. 200 50 max. 30 max. 15 max. 50 max. 25 max. 51 min. 10 max. 35 max. 35 max. 35 max. 35 max. Characteristics of fraction passing No. 40 Liquid limit Plasticity index 40 max. 41 min. 40 max. 41 min. 6 max. NP 10 max. 10 max. 11 min. 11 min. Usual types of significant Stone fragments, gravel, and sand Fine Silty or clayey gravel and sand sand
41.) The given data shows a sieve analysis of a soil sample. Classify the soil using AASHTO Method. Tables are provided below. Sieve No. Diameter (mm) Percent Passing No. 4 4.760 96 No. 8 2.380 80 No. 10 2.000 78 No. 20 0.840 61 No. 40 0.420 56 No. 60 0.250 48 No. 100 0.150 39 No. 200 0.075 33 Characteristics of No. 40 Fraction LL 37 PL 25 A. A-2-4(0) B. None of these. C. A-2-5(0) D. A-2-6(0) E. A-2-7(0)
00 docs.google.com/forms/ A It is easier than the sieve analysis CH soil is formed by chemical 1/1 weathering * True False Neither true nor false The grain size distribution has 0/2 been conducted on a soil sample and the following have been obtained: Percentage of passing from sieve number 200 is 47%, LL = 30%, PL = 15% Using the above information, the soil classification according to the USCS is * :O A5
Question 44 The given data shows a sieve analysis of a soil sample. Classify the soil using AASHTO Method. Tables are provided below. Sieve No. Diameter (mm) Percent Passing No. 4 4.760 99 No. 8 2.380 91 No. 10 2.000 90 No. 20 0.840 85 No. 40 0.420 81 No. 60 0.250 79 No. 100 0.150 67 No. 200 0.075 60 Characteristics of No. 40 Fraction LL 39 PL 32
b. The following data was obtained from Sieve Analysis conducted at a Soil Lab. Using the data given in Table 02 determine: Table 02: Sieve analysis data of coarse- grained soil Sieve Opening (mm) 20 10 4.75 2.36 1.18 0.6 0.3 0.15 0.075 Pan Mass of Soil Retaining on each Sieve 5.23 20.23 180.23 360.23 280.13 70.13 50.23 17.23 10.13 8 1- Percentage of clay, silt, sand and Gravel in the soil sample 2- Uniformity coefficient and coefficient of curvature 3- Classify the soil according to BS soil classification system