Sieve size analysis
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SAMPLE DATA TO SHOW THE SIZE OF COARSE AND FINE AGGREGATES. THIS REPORT IS FROM CONCRETE LAB OF UCE&T BZU MULTAN PAKISTAN. THE SAND USED HAS A FINENESS MODULUS OF .95.
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This document describes procedures for sieve analysis of aggregates. Sieve analysis involves passing aggregate samples through a series of sieves to determine the distribution of particle sizes. The key steps are:
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In the present investigation work ability, strength and durability of concrete with manufactured sand as replacement to natural sand in proportions of 0%, 20%, 40%, 60% and 100% is studied. The experiments were conducted on M20 and M30 concrete grade with 450 specimens. Slump cone, compaction factor and vee-bee time tests were conducted to determine work ability. Results showed that as replacement of natural sand by manufactured sand is increased, there is a decrease in the work ability. Compressive strength, split tensile strength and flexural strength tests were conducted to determine strength of concrete. The 60% replacement showed an increase in strength of about 20% and other replacements to an order of minimum 0.93% in both the grades. The durability study is conducted by treating specimens for 30 days with 5% concentrated Hydro Chloric Acid and the concrete mix with 60% replacement has given good durable properties.
Test for sand
This document provides procedures for determining the density of soil cement base courses in place using a sand cone test. Key steps include: 1) calibrating the sand cone apparatus to determine the unit weight of sand; 2) excavating a hole and collecting soil samples on site; 3) filling the hole with pre-weighed sand to determine the volume; and 4) calculating dry density from the measured weight and volume. The dry density and moisture content are reported as test results. Care must be taken when excavating and measuring to obtain accurate volume and avoid disturbing surrounding material.
Bearing ratio capacity of compacted soil
This document describes the standard test method for determining the California Bearing Ratio (CBR) of laboratory-compacted soils. The CBR test measures the bearing capacity of a soil by penetrating a piston into a compacted soil sample and measuring the resistance. There are two main compaction methods - static and dynamic - and the document outlines the detailed procedures for compacting soil samples using each method and then soaking and testing the samples to determine the CBR value. The CBR test is used to evaluate the strength of materials like subgrade, subbase and base course materials for roads and airfields.
Cbr test
This document outlines the procedure for determining the California Bearing Ratio (CBR) of soils in a laboratory. The CBR is a measure of how much load a soil can support before failing. The procedure involves compacting soil specimens using static or dynamic methods, soaking them for 96 hours, and then penetrating the specimens with a piston at a rate of 1.25mm/min while measuring the load. The CBR is calculated based on the load-penetration curve and indicates the soil's strength and ability to support pavement structures.
Class 2 Grain Size Analysis ( Geotechnical Engineering )
This document provides an overview of grain size analysis methods for geotechnical engineering laboratory work at Texas Tech University. It discusses sieve analysis and hydrometer analysis, which are two common techniques used to determine the distribution of particle sizes in a soil sample. Sieve analysis is applicable to granular soils with little or no fines, while hydrometer analysis is used for soils with small grain sizes less than 0.075mm. The document reviews the procedures, calculations, and concepts involved in each analysis method, such as effective size, uniformity coefficient, and correction factors applied.
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STUDY ON PROPERTIES OF CONCRETE WITH MANUFACTURED SAND AS REPLACEMENT TO NAT...
STUDY ON PROPERTIES OF CONCRETE WITH MANUFACTURED SAND AS REPLACEMENT TO NAT...
Class 2 Grain Size Analysis ( Geotechnical Engineering )
Class 2 Grain Size Analysis ( Geotechnical Engineering )
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Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
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IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
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Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
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Advanced control scheme of doubly fed induction generator for wind turbine us...
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
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Rainfall intensity duration frequency curve statistical analysis and modeling...
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
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Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
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Sieve size analysis
- 1. OSERVATION AND CALCULTION SIEVE ANALYSIS REPORT FINE AGGREGATE SAMPLE: SAKHISARWR SAND WEIGHT OF SAMPLE: 500 GRAMS Fineness modulus = cumulative %age retained up to sieve no. 100 /100 =95/100 Fineness modulus =.95 Sieve Analysis for Coarse Aggregates Wt. of sample: 1000 g Sieve Size Wt. Of Material Retained %Age Material Retained Cumulative%Age Retained %Age Material Passing 1” 100 10 10 90 ¾” 200 20 30 70 ½” 400 40 70 30 3/8” 180 18 88 12 ¼” 100 10 98 2 No. 4 10 1 99 1 Pan 10 1 100 0 Sieve Size Wt. Of Material Retained %Age Material Retained Cumulative%Age Retained %Age Material Passing No.4 35 7 7 93 No.8 40 8 15 85 No.16 125 25 40 60 No.30 140 28 68 32 No.50 70 14 82 18 No.100 65 13 95 5 No.200 20 4 99 1 Pan 5 1 100 0