The project "Performance Analysis of Recycled Aggregates in Rigid Pavements" focuses on assessing the viability of using recycled aggregates (RA) from demolished concrete in road construction. Through various tests, including aggregate impact value, water absorption, and specific gravity, the study evaluates the mechanical properties of recycled aggregates compared to traditional materials. Recycled Asphalt Pavement (RAP) and Recycled Concrete Aggregates (RCA) are tested in Pavement Quality Concrete (PQC) and Dry Lean Concrete (DLC) mixes to examine their strength and durability. The findings suggest RA can reduce material costs and enhance sustainability while maintaining performance standards in road infrastructure.
The project "Pavement Performance Prediction Modelling for Urban Roads in Coimbatore City" focuses on predicting pavement conditions based on distress data. It employs mathematical models to assess the Pavement Condition Index (PCI) through distress surveys identifying cracks, rutting, and potholes. Methods such as IRC 82:2015, ASTM D6433, and MTO SP 024 are used for PCI calculation. Various prediction models, including linear regression and ARIMA, are integrated to forecast future pavement conditions and guide maintenance strategies. The study emphasizes efficient resource allocation, extended pavement life, and enhanced safety for urban infrastructure.
The project titled "IoT-Based Car Parking System using LoRaWAN Technology for CIT Campus" aims to address the growing issue of parking availability on campus. The system integrates IoT technology with LoRaWAN to provide a real-time, user-friendly car parking solution. Key components include Arduino-LoRa transmitter boards, ultrasonic sensors, and an LG01-LoRa gateway. These devices detect parking space availability and transmit the data to a central gateway, which forwards it to a mobile application for easy monitoring. Additionally, the project incorporates an Automatic Number Plate Recognition (ANPR) system to enhance entry management and security, making parking efficient and automated.
Analyzed water balance for CIT campus and to check whether water was in excess or in demand. Application required the knowledge of pumps, sumps, and volume flow rate calculation