Sieve Analysis : Introduction, Objective , Apparatus  ..

Sieve Analysis : Introduction, Objective , Apparatus ..


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Introduction : Sieve Analysis

There are several ways for estimating the size distribution, one of which is sieve analysis, which is the oldest and most well-known. The particle size distribution is defined via mass or volume. The weight of these fractions is calculated by sieve analysis, which divides the particulate material into size fractions. Analyzing a somewhat broad particle size spectrum in this manner is rapid and reliable. The sample is exposed to horizontal or vertical movement during sieving, depending on the technology used. This causes a relative movement between the particles and the sieve; depending on their size, the individual particles either pass through the sieve mesh or are retained on the sieve surface. The ratio of the particle size to the sieve holes, the orientation of the particle, and the number of interactions between the particle and the mesh holes influence the possibility of a particle passing through the sieve mesh.

Objective : Sieve Analysis

To classify soil by determining the grain size distribution curve of a soil sample.

Apparatus : Sieve Analysis

  1. Sieves, a bottom pan and a cover
  2. A balance sensitive up to 0.1 g
  3. Mortar and rubber-tipped pestle
  4. Oven
  5. Mechanical sieve shaker
  6. Brushes

Procedure : Sieve Analysis

1.) A 500g oven dried soil sample was taken as a typical sample.

2.) To break up soil portions into separate pieces were used   mortar and rubber-tipped pestle.

3.) The sample was precisely weighed and recorded.

4.) The stack of sieves was prepared with the largest opening sieve on top and the smallest opening sieve on the bottom. Then the pan was set   underneath the sieves.

5.) The balance was used to weight each Sieve and the pan, and all of the measurements were recorded.

6.) The pre-made soil sample was dumped on top of the sieve stack, and the lid was put on top.

7.) Sieves were tightened and placed on the Sieve Shaker. Then it was shacked around 10-15 minutes.

8.) The sieve shaker was stopped and removed the stack of sieves.

9.) The weights of retained soil in each sieve and the pan was measured separately and recorded.

Calculations

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Discussion

The graph above was created using the data table above, which plots % finer against particle size diameter. The graph is presented in a logarithmic scale, and the values for D10, D30, and D60 may be determined on the x axis using it.

The soil sample might be either coarse grain or fine grain, and it might be difficult to tell which group it belongs to at the outset of the experiment. We may utilize the USCS standard to categorize the soil sample.

Calculations
Discussion

On the 75 m sieve, more than half of the soil was retained. Then there’s soil with coarse grains. The passing percentage of a 75 m sieve is 0.20 percent. As a result, Fine fraction equals 0.20 percent. The soil has a fine fraction of 0-5 percent, according to the fine fraction. The soil is then in the XA area.

The 4.75mm Sieve passed more than half of the soil to flow through. Hence, it was sand. Cu not exceed 6 and Cc is not between 1 and 3. As a result, Soil was a exactly poorly graded. According to the USCS standard, this soil was classified as poorly graded soil (SP).

Conclusion

The particle size distribution in the soil sample is identified using a sieve analysis experiment. The soil is classified using the Unified Soil Classification System. This soil classification is useful in building construction since it aids in calculating foundation size and how many foundations are required for subsequent buildings, among other things. Further, we can conclude that this soil sample can be classified as a gap-graded soil sample.

Open Channel Flow Experiment: Discussion, Conclusion

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