SlideShare a Scribd company logo
Soil Classification
Lecture 3 (Week 1)
Description vs classification
• It is necessary to adopt a formal system of soil
description and classification in order to describe the
various materials found in ground investigation. Such
a system must be meaningful and concise in an
engineering context, so that engineers will be able to
understand and interpret.
Soil description
Description of soil is a statement that
describes the physical nature and state of
the soil. It can be a description of a
sample, or a soil in situ. It is arrived at by
using visual examination, simple tests,
observation of site conditions, geological
history, etc.
Soil classification
Classification of soil is the separation of soil into
classes or groups each having similar characteristics
and potentially similar behavior.
A classification for engineering purposes should be
based mainly on mechanical properties: permeability,
stiffness, strength.
The aim of a classification system is to establish a set
of conditions which will allow useful comparisons to
be made between different soils. The system must be
simple. The relevant criteria for classifying soils are
the size-distribution of particles and the plasticity of
the soil.
Specific Gravity (Gs)
Specific gravity is defined as the ratio of the unit
weight of a given material to the unit weight of
water. The specific gravity of soil solids is often
needed for various calculations in soil mechanics.
It can be determined accurately in the laboratory.
Table in the next slide shows the specific gravity of
some common minerals found in soils. Most of the
values fall within a range of 2.6 to 2.9. The specific
gravity of solids of light-colored sand, which is
mostly made of quartz, may be estimated to be
about 2.65; for clayey and silty soils, it may vary
from 2.6 to 2.9.
Mechanical Analysis of Soil
Mechanical analysis is the determination of
the size range of particles present in a soil,
expressed as a percentage of the total dry
weight. Two methods generally are used to
find the particle-size distribution of soil:
(1) sieve analysis—for particle sizes larger than
0.075 mm in diameter, and
(2) hydrometer analysis—for particle sizes
smaller than 0.075 mm in diameter.
Hydrometer Analysis
Hydrometer analysis is based on the principle
of sedimentation of soil grains in water. When
a soil specimen is dispersed in water, the
particles settle at different velocities,
depending on their shape, size, weight, and
the viscosity of the water.
For simplicity, it is assumed that all the soil
particles are spheres and that the velocity of
soil particles can be expressed by Stokes’ law,
according to which:
Sieve analysis
Sieve analysis consists of shaking the soil
sample through a set of sieves that have
progressively smaller openings. U.S. standard
sieve numbers and the sizes of openings are
given in Table below.
Steps
• The sieves used for soil analysis are generally 203 mm in diameter.
To conduct a sieve analysis, one must first oven-dry the soil and then
break all lumps into small particles.
• The soil then is shaken through a stack of sieves with openings of
decreasing size from top to bottom (a pan is placed below the stack).
• Figure in the next slide shows a set of sieves in a shaker used for
conducting the test in the laboratory. The smallest-sized sieve that
should be used for this type of test is the U.S. No. 200 sieve.
• After the soil is shaken, the mass of soil retained on each sieve is
determined.
• When cohesive soils are analyzed, breaking the lumps into individual
particles may be difficult. In this case, the soil may be mixed with
water to make a slurry and then washed through the sieves.
• Portions retained on each sieve are collected separately and oven-
dried before the mass retained on each sieve is measured.
Calculations
Once the percent finer for each sieve is calculated (step 5), the
calculations are plotted on semi-logarithmic graph paper with percent
finer as the ordinate (arithmetic scale) and sieve opening size as the
abscissa (logarithmic scale). This plot is referred to as the particle-size
distribution curve.
Particle-Size Distribution Curve – how to
use it??
A particle-size distribution curve can be used
to determine the following four parameters for
a given soil:
1. Effective size (D10): This parameter is the
diameter in the particle-size distribution
curve corresponding to 10% finer. The
effective size of a granular soil is a good
measure to estimate the hydraulic
conductivity and drainage through soil.
• The particle-size distribution curve shows not only the range of
particle sizes present in a soil, but also the type of distribution of
various-size particles. Such types of distributions are
demonstrated in Figure on the next slide.
• Curve I represents a type of soil in which most of the
soil grains are the same size. This is called poorly
graded soil.
• Curve II represents a soil in which the particle sizes are
distributed over a wide range, termed well graded. A
well-graded soil has a uniformity coefficient greater
than about 4 for gravels and 6 for sands, and a
coefficient of gradation between 1 and 3 (for gravels
and sands). A soil might have a combination of two or
more uniformly graded fractions.
• Curve III represents such a soil. This type of soil is
termed gap graded.
Example
Particle Shape
The shape of particles present in a soil mass is
equally as important as the particle-size
distribution because it has significant influence on
the physical properties of a given soil.
However, not much attention is paid to particle
shape because it is more difficult to measure. The
particle shape generally can be divided into three
major categories:
1. Bulky
2. Flaky
3. Needle shaped
Bulky particles
Bulky particles are formed mostly by
mechanical weathering of rock and minerals.
Geologists use such terms as angular,
subangular, subrounded, and rounded to
describe the shapes of bulky particles.
Flaky particles
Flaky particles have very low sphericity—
usually 0.01 or less. These particles are
predominantly clay minerals.
Needle-shaped particles
Needle-shaped particles are much less
common than the other two particle types.
Examples of soils containing needle-shaped
particles are some coral deposits and
attapulgite clays.

More Related Content

Similar to Soil Classification. identify different types of soils

soil mechanics for COTM.pptx
soil mechanics for COTM.pptxsoil mechanics for COTM.pptx
soil mechanics for COTM.pptx
abyalewb
 
Sieve & Hydrometer Analysis
Sieve & Hydrometer AnalysisSieve & Hydrometer Analysis
Sieve & Hydrometer Analysis
İbrahim AYHAN
 
index properties.pptx
index properties.pptxindex properties.pptx
index properties.pptx
samatha6
 
Geotechnical-Engineering (1).pdf
Geotechnical-Engineering (1).pdfGeotechnical-Engineering (1).pdf
Geotechnical-Engineering (1).pdf
Xise1
 
3 Most Important In-situ Soil Tests for Construction Works
3 Most Important In-situ Soil Tests for Construction Works3 Most Important In-situ Soil Tests for Construction Works
3 Most Important In-situ Soil Tests for Construction Works
SHAZEBALIKHAN1
 
7 b soil properties determination
7  b soil properties determination7  b soil properties determination
7 b soil properties determination
Marvin Ken
 
Intro Soils – Lab 2 Soil Texture, Density, and Porosity .docx
Intro Soils – Lab 2 Soil Texture, Density, and Porosity  .docxIntro Soils – Lab 2 Soil Texture, Density, and Porosity  .docx
Intro Soils – Lab 2 Soil Texture, Density, and Porosity .docx
vrickens
 
AMITT PPT OF PROJECT_1
AMITT PPT OF PROJECT_1AMITT PPT OF PROJECT_1
AMITT PPT OF PROJECT_1
amit kumar
 
Amir tantrayz
Amir tantrayzAmir tantrayz
Amir tantrayz
khalid wani
 
12 chapter6
12 chapter612 chapter6
12 chapter6
Zaid Majed
 
Soil Test and Surveys
Soil Test and SurveysSoil Test and Surveys
Soil Test and Surveys
Jerome Jaime
 
Soil(physical and chemical)properties.pptx
Soil(physical and chemical)properties.pptxSoil(physical and chemical)properties.pptx
Soil(physical and chemical)properties.pptx
HaroonMalik51
 
BECM 3241 (2).pdf
BECM 3241 (2).pdfBECM 3241 (2).pdf
BECM 3241 (2).pdf
FarjanaBari1
 
INDEX PROPERTIES OF SOIL
INDEX PROPERTIES OF SOILINDEX PROPERTIES OF SOIL
INDEX PROPERTIES OF SOIL
Dr. Sajjad Mangi
 
Geotechnical Engineering- Testing Aspects
Geotechnical Engineering-  Testing AspectsGeotechnical Engineering-  Testing Aspects
Geotechnical Engineering- Testing Aspects
Yogesh Bafna
 
Mekanika Tanah - Sieve Analysis
Mekanika Tanah - Sieve AnalysisMekanika Tanah - Sieve Analysis
Mekanika Tanah - Sieve Analysis
Reski Aprilia
 
Soil mechanics note
Soil mechanics noteSoil mechanics note
Soil mechanics note
SHAMJITH KM
 
Index properties of soil
Index properties of soil Index properties of soil
Index properties of soil
abdirisak4
 
CLASSIFICATION OF SOIL.pptx
CLASSIFICATION OF SOIL.pptxCLASSIFICATION OF SOIL.pptx
CLASSIFICATION OF SOIL.pptx
arfath khan mohammed
 
Chapter 3 classification
Chapter 3 classificationChapter 3 classification
Chapter 3 classification
Gokul Saud
 

Similar to Soil Classification. identify different types of soils (20)

soil mechanics for COTM.pptx
soil mechanics for COTM.pptxsoil mechanics for COTM.pptx
soil mechanics for COTM.pptx
 
Sieve & Hydrometer Analysis
Sieve & Hydrometer AnalysisSieve & Hydrometer Analysis
Sieve & Hydrometer Analysis
 
index properties.pptx
index properties.pptxindex properties.pptx
index properties.pptx
 
Geotechnical-Engineering (1).pdf
Geotechnical-Engineering (1).pdfGeotechnical-Engineering (1).pdf
Geotechnical-Engineering (1).pdf
 
3 Most Important In-situ Soil Tests for Construction Works
3 Most Important In-situ Soil Tests for Construction Works3 Most Important In-situ Soil Tests for Construction Works
3 Most Important In-situ Soil Tests for Construction Works
 
7 b soil properties determination
7  b soil properties determination7  b soil properties determination
7 b soil properties determination
 
Intro Soils – Lab 2 Soil Texture, Density, and Porosity .docx
Intro Soils – Lab 2 Soil Texture, Density, and Porosity  .docxIntro Soils – Lab 2 Soil Texture, Density, and Porosity  .docx
Intro Soils – Lab 2 Soil Texture, Density, and Porosity .docx
 
AMITT PPT OF PROJECT_1
AMITT PPT OF PROJECT_1AMITT PPT OF PROJECT_1
AMITT PPT OF PROJECT_1
 
Amir tantrayz
Amir tantrayzAmir tantrayz
Amir tantrayz
 
12 chapter6
12 chapter612 chapter6
12 chapter6
 
Soil Test and Surveys
Soil Test and SurveysSoil Test and Surveys
Soil Test and Surveys
 
Soil(physical and chemical)properties.pptx
Soil(physical and chemical)properties.pptxSoil(physical and chemical)properties.pptx
Soil(physical and chemical)properties.pptx
 
BECM 3241 (2).pdf
BECM 3241 (2).pdfBECM 3241 (2).pdf
BECM 3241 (2).pdf
 
INDEX PROPERTIES OF SOIL
INDEX PROPERTIES OF SOILINDEX PROPERTIES OF SOIL
INDEX PROPERTIES OF SOIL
 
Geotechnical Engineering- Testing Aspects
Geotechnical Engineering-  Testing AspectsGeotechnical Engineering-  Testing Aspects
Geotechnical Engineering- Testing Aspects
 
Mekanika Tanah - Sieve Analysis
Mekanika Tanah - Sieve AnalysisMekanika Tanah - Sieve Analysis
Mekanika Tanah - Sieve Analysis
 
Soil mechanics note
Soil mechanics noteSoil mechanics note
Soil mechanics note
 
Index properties of soil
Index properties of soil Index properties of soil
Index properties of soil
 
CLASSIFICATION OF SOIL.pptx
CLASSIFICATION OF SOIL.pptxCLASSIFICATION OF SOIL.pptx
CLASSIFICATION OF SOIL.pptx
 
Chapter 3 classification
Chapter 3 classificationChapter 3 classification
Chapter 3 classification
 

Recently uploaded

artificial intelligence and data science contents.pptx
artificial intelligence and data science contents.pptxartificial intelligence and data science contents.pptx
artificial intelligence and data science contents.pptx
GauravCar
 
Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...
Prakhyath Rai
 
Applications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdfApplications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdf
Atif Razi
 
Data Driven Maintenance | UReason Webinar
Data Driven Maintenance | UReason WebinarData Driven Maintenance | UReason Webinar
Data Driven Maintenance | UReason Webinar
UReason
 
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdfMechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdf
21UME003TUSHARDEB
 
Seminar on Distillation study-mafia.pptx
Seminar on Distillation study-mafia.pptxSeminar on Distillation study-mafia.pptx
Seminar on Distillation study-mafia.pptx
Madan Karki
 
People as resource Grade IX.pdf minimala
People as resource Grade IX.pdf minimalaPeople as resource Grade IX.pdf minimala
People as resource Grade IX.pdf minimala
riddhimaagrawal986
 
Software Quality Assurance-se412-v11.ppt
Software Quality Assurance-se412-v11.pptSoftware Quality Assurance-se412-v11.ppt
Software Quality Assurance-se412-v11.ppt
TaghreedAltamimi
 
Certificates - Mahmoud Mohamed Moursi Ahmed
Certificates - Mahmoud Mohamed Moursi AhmedCertificates - Mahmoud Mohamed Moursi Ahmed
Certificates - Mahmoud Mohamed Moursi Ahmed
Mahmoud Morsy
 
Data Control Language.pptx Data Control Language.pptx
Data Control Language.pptx Data Control Language.pptxData Control Language.pptx Data Control Language.pptx
Data Control Language.pptx Data Control Language.pptx
ramrag33
 
Null Bangalore | Pentesters Approach to AWS IAM
Null Bangalore | Pentesters Approach to AWS IAMNull Bangalore | Pentesters Approach to AWS IAM
Null Bangalore | Pentesters Approach to AWS IAM
Divyanshu
 
Properties Railway Sleepers and Test.pptx
Properties Railway Sleepers and Test.pptxProperties Railway Sleepers and Test.pptx
Properties Railway Sleepers and Test.pptx
MDSABBIROJJAMANPAYEL
 
Curve Fitting in Numerical Methods Regression
Curve Fitting in Numerical Methods RegressionCurve Fitting in Numerical Methods Regression
Curve Fitting in Numerical Methods Regression
Nada Hikmah
 
cnn.pptx Convolutional neural network used for image classication
cnn.pptx Convolutional neural network used for image classicationcnn.pptx Convolutional neural network used for image classication
cnn.pptx Convolutional neural network used for image classication
SakkaravarthiShanmug
 
Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
IJECEIAES
 
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoringEmbedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
IJECEIAES
 
An improved modulation technique suitable for a three level flying capacitor ...
An improved modulation technique suitable for a three level flying capacitor ...An improved modulation technique suitable for a three level flying capacitor ...
An improved modulation technique suitable for a three level flying capacitor ...
IJECEIAES
 
An Introduction to the Compiler Designss
An Introduction to the Compiler DesignssAn Introduction to the Compiler Designss
An Introduction to the Compiler Designss
ElakkiaU
 
Computational Engineering IITH Presentation
Computational Engineering IITH PresentationComputational Engineering IITH Presentation
Computational Engineering IITH Presentation
co23btech11018
 
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
ydzowc
 

Recently uploaded (20)

artificial intelligence and data science contents.pptx
artificial intelligence and data science contents.pptxartificial intelligence and data science contents.pptx
artificial intelligence and data science contents.pptx
 
Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...
 
Applications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdfApplications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdf
 
Data Driven Maintenance | UReason Webinar
Data Driven Maintenance | UReason WebinarData Driven Maintenance | UReason Webinar
Data Driven Maintenance | UReason Webinar
 
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdfMechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdf
 
Seminar on Distillation study-mafia.pptx
Seminar on Distillation study-mafia.pptxSeminar on Distillation study-mafia.pptx
Seminar on Distillation study-mafia.pptx
 
People as resource Grade IX.pdf minimala
People as resource Grade IX.pdf minimalaPeople as resource Grade IX.pdf minimala
People as resource Grade IX.pdf minimala
 
Software Quality Assurance-se412-v11.ppt
Software Quality Assurance-se412-v11.pptSoftware Quality Assurance-se412-v11.ppt
Software Quality Assurance-se412-v11.ppt
 
Certificates - Mahmoud Mohamed Moursi Ahmed
Certificates - Mahmoud Mohamed Moursi AhmedCertificates - Mahmoud Mohamed Moursi Ahmed
Certificates - Mahmoud Mohamed Moursi Ahmed
 
Data Control Language.pptx Data Control Language.pptx
Data Control Language.pptx Data Control Language.pptxData Control Language.pptx Data Control Language.pptx
Data Control Language.pptx Data Control Language.pptx
 
Null Bangalore | Pentesters Approach to AWS IAM
Null Bangalore | Pentesters Approach to AWS IAMNull Bangalore | Pentesters Approach to AWS IAM
Null Bangalore | Pentesters Approach to AWS IAM
 
Properties Railway Sleepers and Test.pptx
Properties Railway Sleepers and Test.pptxProperties Railway Sleepers and Test.pptx
Properties Railway Sleepers and Test.pptx
 
Curve Fitting in Numerical Methods Regression
Curve Fitting in Numerical Methods RegressionCurve Fitting in Numerical Methods Regression
Curve Fitting in Numerical Methods Regression
 
cnn.pptx Convolutional neural network used for image classication
cnn.pptx Convolutional neural network used for image classicationcnn.pptx Convolutional neural network used for image classication
cnn.pptx Convolutional neural network used for image classication
 
Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
 
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoringEmbedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
 
An improved modulation technique suitable for a three level flying capacitor ...
An improved modulation technique suitable for a three level flying capacitor ...An improved modulation technique suitable for a three level flying capacitor ...
An improved modulation technique suitable for a three level flying capacitor ...
 
An Introduction to the Compiler Designss
An Introduction to the Compiler DesignssAn Introduction to the Compiler Designss
An Introduction to the Compiler Designss
 
Computational Engineering IITH Presentation
Computational Engineering IITH PresentationComputational Engineering IITH Presentation
Computational Engineering IITH Presentation
 
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
 

Soil Classification. identify different types of soils

  • 2. Description vs classification • It is necessary to adopt a formal system of soil description and classification in order to describe the various materials found in ground investigation. Such a system must be meaningful and concise in an engineering context, so that engineers will be able to understand and interpret.
  • 3. Soil description Description of soil is a statement that describes the physical nature and state of the soil. It can be a description of a sample, or a soil in situ. It is arrived at by using visual examination, simple tests, observation of site conditions, geological history, etc.
  • 4. Soil classification Classification of soil is the separation of soil into classes or groups each having similar characteristics and potentially similar behavior. A classification for engineering purposes should be based mainly on mechanical properties: permeability, stiffness, strength. The aim of a classification system is to establish a set of conditions which will allow useful comparisons to be made between different soils. The system must be simple. The relevant criteria for classifying soils are the size-distribution of particles and the plasticity of the soil.
  • 5. Specific Gravity (Gs) Specific gravity is defined as the ratio of the unit weight of a given material to the unit weight of water. The specific gravity of soil solids is often needed for various calculations in soil mechanics. It can be determined accurately in the laboratory. Table in the next slide shows the specific gravity of some common minerals found in soils. Most of the values fall within a range of 2.6 to 2.9. The specific gravity of solids of light-colored sand, which is mostly made of quartz, may be estimated to be about 2.65; for clayey and silty soils, it may vary from 2.6 to 2.9.
  • 6.
  • 7. Mechanical Analysis of Soil Mechanical analysis is the determination of the size range of particles present in a soil, expressed as a percentage of the total dry weight. Two methods generally are used to find the particle-size distribution of soil: (1) sieve analysis—for particle sizes larger than 0.075 mm in diameter, and (2) hydrometer analysis—for particle sizes smaller than 0.075 mm in diameter.
  • 8. Hydrometer Analysis Hydrometer analysis is based on the principle of sedimentation of soil grains in water. When a soil specimen is dispersed in water, the particles settle at different velocities, depending on their shape, size, weight, and the viscosity of the water. For simplicity, it is assumed that all the soil particles are spheres and that the velocity of soil particles can be expressed by Stokes’ law, according to which:
  • 9.
  • 10.
  • 11.
  • 12. Sieve analysis Sieve analysis consists of shaking the soil sample through a set of sieves that have progressively smaller openings. U.S. standard sieve numbers and the sizes of openings are given in Table below.
  • 13. Steps • The sieves used for soil analysis are generally 203 mm in diameter. To conduct a sieve analysis, one must first oven-dry the soil and then break all lumps into small particles. • The soil then is shaken through a stack of sieves with openings of decreasing size from top to bottom (a pan is placed below the stack). • Figure in the next slide shows a set of sieves in a shaker used for conducting the test in the laboratory. The smallest-sized sieve that should be used for this type of test is the U.S. No. 200 sieve. • After the soil is shaken, the mass of soil retained on each sieve is determined. • When cohesive soils are analyzed, breaking the lumps into individual particles may be difficult. In this case, the soil may be mixed with water to make a slurry and then washed through the sieves. • Portions retained on each sieve are collected separately and oven- dried before the mass retained on each sieve is measured.
  • 14.
  • 15. Calculations Once the percent finer for each sieve is calculated (step 5), the calculations are plotted on semi-logarithmic graph paper with percent finer as the ordinate (arithmetic scale) and sieve opening size as the abscissa (logarithmic scale). This plot is referred to as the particle-size distribution curve.
  • 16.
  • 17. Particle-Size Distribution Curve – how to use it?? A particle-size distribution curve can be used to determine the following four parameters for a given soil: 1. Effective size (D10): This parameter is the diameter in the particle-size distribution curve corresponding to 10% finer. The effective size of a granular soil is a good measure to estimate the hydraulic conductivity and drainage through soil.
  • 18.
  • 19.
  • 20.
  • 21. • The particle-size distribution curve shows not only the range of particle sizes present in a soil, but also the type of distribution of various-size particles. Such types of distributions are demonstrated in Figure on the next slide. • Curve I represents a type of soil in which most of the soil grains are the same size. This is called poorly graded soil. • Curve II represents a soil in which the particle sizes are distributed over a wide range, termed well graded. A well-graded soil has a uniformity coefficient greater than about 4 for gravels and 6 for sands, and a coefficient of gradation between 1 and 3 (for gravels and sands). A soil might have a combination of two or more uniformly graded fractions. • Curve III represents such a soil. This type of soil is termed gap graded.
  • 22.
  • 24. Particle Shape The shape of particles present in a soil mass is equally as important as the particle-size distribution because it has significant influence on the physical properties of a given soil. However, not much attention is paid to particle shape because it is more difficult to measure. The particle shape generally can be divided into three major categories: 1. Bulky 2. Flaky 3. Needle shaped
  • 25. Bulky particles Bulky particles are formed mostly by mechanical weathering of rock and minerals. Geologists use such terms as angular, subangular, subrounded, and rounded to describe the shapes of bulky particles.
  • 26.
  • 27.
  • 28. Flaky particles Flaky particles have very low sphericity— usually 0.01 or less. These particles are predominantly clay minerals. Needle-shaped particles Needle-shaped particles are much less common than the other two particle types. Examples of soils containing needle-shaped particles are some coral deposits and attapulgite clays.