A sieve analysis is a laboratory test used to determine the particle size distribution of a granular material. It involves passing the material through a series of sieves of decreasing size and weighing the amount of material that is retained on each sieve and the amount that passes through. The resulting data can be used to calculate the percentage of the material that is composed of particles of each size range.

The conclusion of a sieve analysis lab report should summarize the key findings of the test and explain their significance. Here are some potential points that could be included in a conclusion for a sieve analysis lab report:

The particle size distribution of the material was determined using a sieve analysis.

The results of the sieve analysis showed that the material was composed of a range of particle sizes, with the majority of particles falling within a certain size range.

The results of the sieve analysis can be used to inform the selection of processing equipment and techniques for the material, as well as to predict its behavior in various applications.

The results of the sieve analysis may also be useful for quality control purposes, as they can indicate whether the material meets certain specifications for particle size.

Overall, the sieve analysis provides valuable information about the particle size distribution of the material, which can be used to optimize its processing and performance.

In addition to summarizing the key findings of the sieve analysis, the conclusion of the lab report should also discuss any limitations or uncertainties of the test and suggest any potential avenues for further research. For example, the conclusion could mention that the sieve analysis is only a snapshot of the particle size distribution at a particular point in time, and that it may be necessary to conduct additional tests to confirm the results. It could also suggest that additional sieve analysis tests be conducted on samples from different locations or at different times to see if the results are consistent.

CONCLUSION In this laboratory exercise Sieve Analysis of Fine and Coarse

Findings indicated that the cross-sectional measurement of river Benue at Jimeta Bridge experienced a lot of bedload sedimentation, the bedload sedimentation of river Benue at Jimeta Bridge were mainly fine grain size sediment with trace of coarse grain size and are uniformly graded because the particles were of equivalent size with volume of 10900483. The research aimed at assessing the channel sedimentation of River Benue at Yola based on the nature of the sediment loading in the channel and the effects of sedimentation load characteristics on gauge height readings. The mass of the several batches retained on a specific sieve are combined before calculating the percentage of the sample on the sieve. Sample Preparation The weight of sample aggregates is taken as per the below table. Furthermore, minor axis gives an overall accurate estimate of particle sieve-size, error in mean size D-50 being just 0. The values of the uniformity coefficient C u and the coefficient of gradation C c can be calculated using the following equations: The values of C u and C c are used to classify whether the soil is well-graded or not.

(PDF) Materials of Construction Laboratory Sieve Analysis of Aggregate (ASTM C136

Fine and coarse aggregates are thought to be well graded fiftieth coefficient of curvature C is between 1 and 3. The experiment showed that the samples used are poorly graded gravel and well- graded sand. To determine the grain-size distribution of soil. The sieves are agitated by hand in a vertical and lateral motion. Then, sieves are nested in order Of decreasing size Of opening from top to bottom.

A number in parentheses indicates the year of last reapproval. The total mass of the material after sieving should check closely with original mass of sample placed on the sieves. It is shown that the sieve-size of a particle strongly depend upon the shape parameters , 91% of its variation being explained by major axis, minor axis, bounding box length and equivalent diameter. This sample paper on Sieve Analysis Of Fine Aggregate Lab Report Conclusion offers a framework of relevant facts based on recent research in the field. . Logarithmic scale is used to represent grain size information that typically spans many orders of magnitude. The soil is placed and shaken through a stack of sieves with openings of decreasing size from top to bottom.

The mechanical or sieve analysis is performed to determine the distribution of the coarser, larger-sized particles, and the hydrometer method is used to determine the distribution of the finer particles. To identify if the total mass from the beginning will also be the total mass after the experiment. Significance of the Experiment Particle size analysis is important because it determines the soil gradation, which is an indicator of other soil properties such as compressibility, shear strength, and hydraulic conductivity. To determine the percent of the retained soil in each sieve. Video Materials Lecture Video A PowerPoint presentation is created to understand the background and method of this experiment. This will result to smooth flow of the water in the channel.

Sieve Analysis Of Fine Aggregate Lab Report Conclusion Free Essay Example

Multiple linear regression generated overall mass-wise particle size distribution shows a strong correlation with sieve generated data. Do the task accurately but make sure to be in order, do not put more aggregates because it may get hard for it to sink and get into the pan and also it is heavy that it might fall. All required calculations are present but minor errors are present in the calculationsl Some unit missing. The desired sieves was nested in order of decreasing aperture size from top to bottom. To determine the size distribution of particles, the sieve analysis test procedure is an effective method that prevailed from the past. Some grpahs and tables are not labelled and titled.

The recent finer is computed by getting the sum of mass of soil retained on smaller sieves, subtracting it from the total mass of sample, and dividing the sum by the total mass times 100. The samples was dried to constant weight in the furnace at a temperature of 1050 C. These values are obtained from the particle size distribution curve shown in Figures I and 2. The suitability of a soil for a particular use in construction is often dependent in the distribution of gain sizes in the soil mass. Determine effective grain size after plotting particle size distribution curve percent finer versus particle diameter in millimeter. However, sieve-size of smaller particles 20 mm are highly correlated to their equivalent diameters. Sieve analysis is laboratory test procedure in which particles will move vertically or horizontally through sieve mesh.

Particle-size distribution curve of coarse aggregate is characterized by a Steep curve. Graphs and tables are labelled and titled. Put the stack in the sieve shaker, affix the clamps, set a timer for 10 to 15 minutes, and start the shaker. This information is used to classify the soil and to predict its behavior. All mass of sieves including the pan are determined. Sand isconsidered well-graded, if C u is greater than 6 and C c is between 1 and 3. Dry the soil sample sun dry and oven dry using the oven 2.

The experiment is carried out to determine a good distribution of aggregate by using sieve and comparing the results obtained. The characters of particle such as bulk density, physical stability, permeability and many more are decided by its size. To compute the percent finer in each opening. The mass of each size increment is determined on balance. The sample to be tested should be the approximate weight desired when dry. Multiple linear regression analysis has been used to generate overall mass-wise particle size distribution, considering the influences of all these shape parameters on particle sieve-size.