Assessment of Engineering Properties of Artificial Aggregate Prepared From Canal Silt
Journal Title: Sir Syed University Reseacrh Journal of Engineering and Technology - Year 2018, Vol 2, Issue
Abstract
In this research the canal silt from the Kabul River Canal was recycled to manufacture artificial aggregate. For making artificial aggregates three batches were prepared each of dry weight of 100kg. The composition of artificial aggregate is Polyvinyl Alcohol (PVA), Ordinary Portland Cement (OPC) and Silt was mixed in different proportions (by weight). Three batches were made having values of PVA varying from 0, 1 and 2 percent, cement content was 20, 19 and 18 percent respectively, and the quantity of silt used was kept constant(80%) in each batch. Samples were prepared from these three different batches and were cured for 28 days. After completion of the curing time, they were crushed to get the desired course aggregate. A number of tests were performed to check the viability of artificial aggregates for being used as a lightweight aggregate. Shape and particles size distribution properties of artificial aggregates were as that of the natural aggregate but not satisfactory at high silt content. The reductions in the specific gravity of the artificial aggregate were also observed compared to natural
Authors and Affiliations
Safdar Iqbal, Beenish Jehan, Fasih Ahmed Khan, Hassan Nasir
Benchmarking of Data Communication Protocol for Integration of Telecontrol Interface with RTU
The outcome of this research work is focused on optimized the design of wireless link for an FPGA based Remote Terminal Unit (RTU). A situation representing multiple RTUs communicating with one Telecontrol Interface (TCI...
Parametric Comparison of Selected Dual Elements PIR Sensors
Most of the warm blooded animals emanate thermal radiations in the MWIR to LWIR (Medium Wave to Long Wave Infrared) range from 3μm to 18μm. If the object is warmer than the surroundings, its thermal radiation is shifted...
A Region-based Approach to the Automated Marking of Short Textual Answers
Abstract— Automated marking of short textual answers is a challenging task due to the difficulties involved in accurately “understanding” natural language text. However, certain purpose-built Natural Language Processing...
Human Heart Disease Prediction System Using Data Mining Techniques
— Prediction of heart disease is a big issue in now a day because in electronic life everyone is busy and due to heavy load of work people do not give attention to their health. To diagnose a disease is a big issue. The...
Loss Analysis in Optical Fiber Transmission
Most of telecommunication traffic (voice and data) around the globe is carried over the optical fiber cable. The international traffic through various countries is carried over optical fiber cables laid under the sea. Si...