Sieve Analysis Report (CIVIL ENGINEERING)
1.0 OBJECTIVE
The
sieve analysis determines the grain size distribution curve of soil sample by
passing them
through a stack of sieves of decreasing mesh opening sizes and by
measuring the weight retained on
each sieve. The sieve analysis is generally
applied to the soil fraction larger than 75m
2.0 INTRODUCTION
Sieving can be performed in either
wet or dry conditions. Dry sieving is used only for soil with a negligible
amount of plastic fines such as gravels and clean sand, where as wet sieving is
applied to soils with plastic fines. According to the British Standard, dry
sieving may be carried out only on materials for which this procedure gives the
same result as the wet-sieving procedure. This means that it is applicable only
to clean granular materials, which usually implies clean sandy or gravelly
soils that is, soils containing negligible amounts of particles of silt or clay
size. Normally the wet-sieving procedure should be followed for all soils. If
particles of medium gravel size or larger are present in significant amounts,
the initial size of the sample required may be such that riffling is necessary
at some stage to reduce the sample to a manageable size for fine sieving.
3.0 THEORY
(BS1377
: Part 2: 1990:9.3), Sieving can be performed in either wet or dry conditions.
Dry sieving is used only for soil with a negligible amount of plastic fines
such as gravels and clean sands. Where as wet sieving is applied to soils with
plastic fines. According to be Bristish Standard. Dry sieving may be carried
out only on materials for which this procedure gives the same result as the
wet-sieving procedure. This means that it is applicable only to clean granular
materials. Which usually implies clean sandy or gravelly soils that is. Soils
containing negligible amount of particles of silt or clay size. Normally the
wet-sieving procedure should be followed for all soils. If particles of medium
gravel size or larger are present in significant amounts. The initial size of
the sample required may be such that riffling is necessary at some stage to reduce
the sample to a manageable size for fine sieving.
BS1377:1990.
Allows either wet or dry sieving to be used. But the wet method is preferred.
After oven drying, the test sample mass is determine before being separated
into two part, the first comprises that retained on a 20mm sieve and the second
that passing 20mm. that greater than 20 mm is dry sieve, while that smaller is
wet sieve prior to being re-sieved dry. The sieves used are generally chosen
from the range (in mm) of 75, 63, 50, 37.5, 28, 20, 14, 10, 63.5, 3.35, 2,
1.18, 06, 0.425, 0.3, 0.212, 0.15 and 0.063. the mass retained on each sieve is
recorded. From which the percentage of the sample passing each sieve can be
calculated. Material passing the 63 micron (0.063mm) sieve is retained for a
fine particle analysis. If the amount justifies the further test. The combined
result of the coarse and fine analysis are plotted on a semi-logarithmic graph
of the form show in figure 1.0 to give the particle size distribution curve.
4.0 APPARATUS
1. Series
of standard sieves with opening ranging from 7.5cm to 75m including a cover
plate and bottom pan.
2. Test
sieve having the following aperture size 2.36mm, 1.18mm, 0.600mm
0.425mm,0.300mm, 0.212mm, 0.150mm and 0.075mm.
3. Mechanical
sieve shaker
4. Balances
sensitive 0.5g.
5. Soft
and hard wire brush.
5.0
PROCEDURE
1. The
sample was oven drive to than the weight was measured.
2. A
stack of sieves that suitable to the soil were selected then it has been
tested. Arranged we stack of six or seven sieves was generally
sufficient for most soil and applications. The top sieves soil was have an
opening slightly larger than the largest particles. The stack of sieves were
arranged then the largest mesh was opened at the top then the smallest was at
the bottom.
3. A
pan was attached at the bottom of e sieves stack. The sample were pour on the
top sieve. More cover plate were added to avoid dust and loss of particles
while shaking.
4. The
stack of sieves were placed in the mechanical shaker and shake for about 10
minutes until to additional shaking does not produce appreciable changes in the
amounts of material retained in each sieve.
5. The
stack of sieve were removed from the shaker. Firstly with the top sieve, the
content were transferred to a piece of paper. The sieve were empty with
carefully without losing any material and a brush were used to remove grains stuck
in its mesh opening. The weight of soil that retained in each sieve were
measured and the corresponding sieve mesh opening and number were noted.
6. Step
5 was repeated for each sieve. Using a preliminary check, the weights retained
on all the sieves and the bottom pan was added, and their sum was compared to
the initial sample weight. Both weights were within about 1% because the
difference is greater than 1% too Much material was lost and weighing and or
sieves were repeated.
6.0 COMMON ERROR
According
to Rolling’s and Rolling’s (1996), common laboratory error associated with the
sieve analysis include:
1. Failure
to separate agglomerations of material (such as clay clods) into individual
grains during the washing and mechanical sieving process.
2. Loss
of material during testing.
3. Overloading
of sieves.
4. Broken
or distorted sieves
5. Inadequate
shaking of sieves
7.0 EXAMPLE AND
QUESTION:
Example :
Data : Total mass
of dry sample 115.5g
|
Sieve BS (mm)
|
Mass Retained (g)
|
Mass Passing (g)
|
% finer by weight
|
|
5.00
2.00
1.180
0.600
0.425
0.300
0.212
0.150
0.63
Pan
|
0.0
0.0
0.5
25.7
23.1
22.0
17.3
12..7
6.9
2.3
|
0.0
115.5
110.0
84.3
61.2
39.2
21.9
9.2
2.3
|
0.0
100
95
73
53
34
19
8
2
|
Total mass = 115.5
g
Lost = 0
From the data,
plot a graph partial size versus percentage passing.
8.0 DATA
|
Sieve no. size (mm)
|
Mass of sieve (g)
|
Mass of plain sieve (g)
|
Mass retained (g)
|
Mass passing (g)
|
Cumulative percentage passing (%)
|
|
2.360
|
540
|
530
|
10
|
490
|
98%
|
|
1.180
|
425
|
360
|
65
|
425
|
85%
|
|
0.600
|
445
|
325
|
120
|
305
|
61%
|
|
0.425
|
360
|
285
|
75
|
230
|
45%
|
|
0.300
|
345
|
280
|
65
|
165
|
33%
|
|
0.212
|
330
|
275
|
55
|
110
|
22%
|
|
0.150
|
305
|
270
|
37
|
73
|
14.6%
|
|
0.075
|
325
|
255
|
70
|
3
|
0.6%
|
|
Total
|
|
|
497
|
||
% Passing = 100 - % Retained.
Mass of dry sample
= 500 gram
Plot particles
size distribution chart.
Cu = d60 / d10 = 5.8
Cu = d = 1.26
|
Sieve no. size (mm)
|
Mass of sieve (g)
|
Mass of plain sieve (g)
|
Mass retained (g)
|
Mass passing (g)
|
Cumulative percentage passing (%)
|
|
2.360
|
540
|
530
|
540-530=10
|
500-10=490
|
98%
|
|
1.180
|
425
|
360
|
425-360=65
|
490-65=425
|
85%
|
|
0.600
|
445
|
325
|
445-325=120
|
425-120=305
|
61%
|
|
0.425
|
360
|
285
|
360-285=75
|
305-75=230
|
45%
|
|
0.300
|
345
|
280
|
345-280=65
|
230-65=165
|
33%
|
|
0.212
|
330
|
275
|
330-275=55
|
165-55=110
|
22%
|
|
0.150
|
305
|
270
|
305-270=37
|
110-37=73
|
14.6%
|
|
0.075
|
325
|
255
|
325-255=70
|
73-71=3
|
0.6%
|
|
Total
|
|
|
497
|
||
How to calculate
cumulative percentage passing (%)
Formula : mass passing x 100
Mass of dry sample
Sieve no size =
2.360mm
Cumulative
percentage passing (%) : 490 x 100
500
: 98%
Sieve no size =
1.180mm
Cumulative
percentage passing (%) : 425 x 100
500
: 85%
Sieve no size =
0.600mm
Cumulative
percentage passing (%) : 305 x 100
500
: 61%
Sieve no size =
0.425mm
Cumulative
percentage passing (%) : 230 x 100
500
: 45%
Sieve no size =
0.300mm
Cumulative
percentage passing (%) : 165 x 100
500
: 33%
Sieve no size =
0.212mm
Cumulative
percentage passing (%) : 110 x 100
500
: 22%
Sieve no size =
0.150mm
Cumulative
percentage passing (%) : 73 x 100
500
: 14.6%
Sieve no size =
0.075mm
Cumulative
percentage passing (%) : 3 x 100
500
: 0.6%
9.0 DISCUSSION
Sieve analysis is the process of
dividing a sample of aggregate into fraction of the same size. The purpose of
doing this analysis is to determine the grading or size distribution of the
aggregate which is important to find out whether the aggregate pile we are
studying is good for the mix or not. The grading of the aggregate usually effects
on the workability of the fresh concrete. The aggregate of interest is thrown
into a series of sieves nested in order with the smallest at the bottom, and after
shaking the mass of retained aggregate in each sieve is calculated. The
aggregate we use in our experiment should be representative to the pile we
obtained it from, so we can’t just take the mass we need for the experiment
arbitrary because this arbitrary specimen might not contain a certain size of
the aggregate. For that reason the Quartering Method is used, this method
involves taking a big amount of aggregate from the pile of interest (more than
the amount we need) and then divide them into quarters or halves till we gain
the amount we need for the experiment. A sieve have square opening and are
usually constructed of wire mesh. In this analysis certain sizes of sieves
should be used to get a desired and accepted results, these sieves are
determined by ASTM E – 11 as mentioned in the specifications. The nested sieves
we use every next sieve (starting from the smallest) is twice the size of sieve
preceding it. After sieving the specimen, we calculate the retained mass in
each sieve and a table is made and the grade curve is drawn. The table should
contain the following columns: Sieve size, Mass retained, Percentage retained,
Cumulative percentage passing and Cumulative percentage retained. The
percentage retained can be gained by the following formula:
mass retained \ total
mass x
100%
The grading curve is drawn by using
the information of the table. The grading curve represents the relationship
between the Sieve size (the abscissa) and the Cumulative percentage passing
(the ordinates), we use the logarithmic scale to plot the graph. The standards
usually give an Upper limit graph and a lower limit graph so that our graph
should be between these 2 graph to be
usable in mixes. The graph is drawn be drawing line segments between the
points. Fineness Modulus is a measure to the grading of an aggregate pile, and
it is used to compare aggregate that are gained from the same source. It can be
defined as the sum of the Cumulative percentage retained on the sieves of the
standard series divided by 100. The sieve analysis can be done in two methods,
a wet method and a dry method, but as the wet method takes more time we have
done the dry method.
10.0 CONCLUSION
The aggregate we studied consists of
coarse aggregate mainly; I noted that from the fineness modulus. From the
Grading graph we note that the aggregate we have tested are not good for using
in mixes, as the graph doesn’t lie between the upper limit and the lower limit.
sieve analysis of soil by dry and wet method
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