Sieve Analysis Of Fine And Course Aggregates 1x4g39

Course Name: Materials Technology (CIV 1101) Name of course: Title: Sieve analysis of fine and course aggregates Aim: To determine the various sizes of particles in a sample of aggregate Date submitted: 11th October, 2013 Date conducted: 27th November, 2013 Lab Report: NO. 5

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Introduction The following is a lab report based on determining the various sizes of particles in a sample of aggregates. This process was done for course and fine aggregates involving equal distribution through rifle box method and ing the aggregates through two different sets of sieves with various sieve sizes corresponding to the type of aggregates used and obtaining the values for the aggregate masses that had been retained within each sieve. A grading curve can then be obtained by finding the percent ing and plotting them on the semi log curve, showing the distribution of the percentage of aggregates ing against the sieve number was plotted.

Theoretical Information 2

Grain size is needed for the classification of soils. The data obtained from plotting curves can be used to design filters for earth dams and to determine suitable soils for road construction and other building projects and also the grain size can determine the water flow through various soil types and allowing proper allocation of building sites. Percent retained = (weight retained/total weight) X 100% Percent ing = (previous percentage ing -percent retained) % ing initial = 100% - % retained for each sieve) D10, D30 and D60 can be obtained from tracing the 10%, 30% and 60% ing respectively to the curve and reading the horizontal axis to obtain the value for each. Fineness modulus ={ (number of sieves used X 100) – sum of % ing )}/100

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Materials Aggregates- course and fine

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Equipment Sieve 1. For course: sieve no. - 7, 10, 14, 25, 35, 50, 70, 100, and pan 2. For fines: sieve size- ᶟ⁄₄”, ⅟⅟”, ⅜”,⅟⅟”,ᶟ⁄⅟⅟”, ⅟⅟”and pan Rifle Box Top loading electronic balance Maximum capacity: - 15kg – 30kg Minimum capacity: - 100g Absolute uncertainty: - Au. ±0.001kg

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Experimental Procedure 1. The sample was ed through the rifle box in order to distribute the 2. 3. 4. 5. 6.

particles easily. A sample of 5200g of course aggregates was weighed. The sieves were obtained and placed in descending order. The sample was placed in the top sieve and covered. The sample was shaken for 3 minutes. The sample remaining in each of the sieves and the pan was weighed and

recorded. 7. This procedure was again followed for the fine aggregates using 2000 g. 8. A grading curve of the results was plotted.

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Experimental results SEIVE NUMBER

WEIGHT RETAINED (kg)

7

0.01

10

0.015

14

0.04

25

0.225

35

0.258

50

0.84

70

0.315

100

0.7

PAN

0.175

TOTAL

1.948

Table 1- For Course Aggregates- TOTAL WEIGHT- 2000g Sieve Size ᶟ⁄⅟” ⅟⅟” ⅜” ⅟⅟” ᶟ⁄⅟⅟” ⅟⅟” Pan Total

Weight Retained (kg) 0.285 2.14 1.515 0.99 0.145 0.04 0.025 5.113

Table 2- For fine aggregates- TOTAL WIEGHT- 5200g Analysis SEIVE

WEIGHT

Percent

Percent

CUMULATIVE

NUMBER

RETAINED

Retained

ing

%

(kg)

(%)

(%)

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7 10 14 25 35 50 70 100 PAN TOTAL

0.01 0.015 0.04 0.225 0.258 0.84 0.315 0.7 0.175 1.948

0.5 0.7 2.1 11.6 13.2 43.1 16.2 3.6 9.0 100.0

99.5 98.8 96.7 85.1 71.9 28.8 12.6 9.0 0

0.5 1.2 3.3 14.9 28.1 71.2 87.4 91.0 100.0 100.0

Table 3: shows the percent retained and the percent ing each sieve in the course aggregate analysis Percent Loss= 0.052/2 X 100%= 2.6% Fineness modulus = 2.982

Sieve Size

Weight Retained

Percent Retained

Percent ing

ᶟ⁄⅟” ⅟⅟” ⅜” ⅟⅟”

(kg) 0.285 2.14 1.515 0.99

(%) 16.147 49.095 7.243 9.206

(%) 82.394 33.299 26.056 16.850

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ᶟ⁄⅟⅟” ⅟⅟” pan Total

0.145 0.04 0.025 5.113

3.219 1.911 11.720 100.000

13.631 11.720 0 100.0

Table 4: shows the percent retained and the percent ing each sieve in the fine aggregate analysis Percent Loss= 1.6/5.2 X 100%= 1.7 Fineness modulus = 4.1 The grading curve was plotted using the calculations made for the percentage retained in both tables 4 and 5 against the sieve number.

Discussion The course and fine curves have varying uniformity. The fine aggregates curve shows a gradual climb imp percent indicating a fairly even distribution of aggregate sizes while the course aggregate curve show an indent within its climbing indicating that there was no even distribution and having a larger number of aggregates retained in number 50 sieve. The values for sieves plotted on the course aggregate and fine aggregate log graphs were used to find D10 , D30 and D 60 and these values were 0.023 ,0.017 and 0.006 respectively for fine aggregates and 0.61, 0.42 and 0.13 respectively for course aggregates .., using these values a 9

number of use arise . The D10 value indicates Effective size (E.S). This along with the uniformity coefficient (UC), found by dividing D60 by D10 and can provide information for usage for the filtration sand in the bio filter or can indicate certain samples for areas with a specific aggregate size and this was 4.6 for course and 3.8 for fine aggregate . D10, D30, and D60 were found by using the percent ing and using a horizontal to pinpoint the value of each. Depending on the distance between two points and the slope of the curve the distribution of aggregate sizes and decisions on if filtering can be obtained. The fineness modulus obtained tells if the aggregate was course or fine and the fineness modulus corresponded to each aggregate.

References 1. “Sieve analysis test.” http://www.uta.edu/ce/geotech/lab/Main//sieve/ Retrieved: 10: 57am, 11th October, 2013. 2. Lab # 5 handout.

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Appendices

Figure 5: – The sieve stack for both fine and course aggregates (27th November, 2013) 11

Figure 6:–electronic balance with course aggregates (27th November, 2013) Lab report # 2

Name of course: Engineering materials (CIV 111). Title: Soundness of cement. Aim: To determine the soundness of a cement paste by measuring its expansion by the Le Chatalier method.

Date Performed: 24th September, 2010 Date submitted: 11th October, 2013 UG : Faculty of Technology

Name of student: Pablo Gomes REG #: 13/0905/0276 12

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