This project will, therefore, investigate how construction techniques and sustainable materials shape auditory experiences, focusing on cost-effective solutions for sound absorption and transmission.
This project will help develop appropriate noise reduction solutions for a quiet future using various sustainable, durable, and cost-effective sound insulation materials in different frequency ranges.
This study compares traditional surveying methods with modern photogrammetry techniques, focusing on the achievement of high-quality data acquisition with greater efficiency and reduced costs.
The project systematically investigates and evaluates waste management practices that best support the sustainability of urban communities, identifying strategies that work while also presenting challenges and opportunities for improvement.
Research involving route optimization for vehicles using Machine learning algorithms is implemented on MATLAB to offer efficient routing in ways meant to bring efficiency into the operations of the response units.
The study deals with the performance of Recycled Concrete Aggregates as a substitute for Natural Aggregates in concrete based on their mechanical properties, durability, sustainability, and serviceability.
This project assesses construction management techniques for reducing cost overruns and delays in large infrastructure projects.
This project investigates the possibility of making self-compacting concrete mixtures using Recycled Concrete Aggregates and Crumb Rubber, highlighting the effects of the different aggregates on SCC performance.
An analysis of the building using SAP2000 software captures the effect of adding dampers to reduce deflection.
A reliability-based design was used to predict the stability of the slope.
Locate the management strategy that would be implemented in order to mitigate flash floods via retention and detention basins.
The use of wood in residential buildings as a more environmentally friendly material, the carbon emissions will be calculated for the building by utilising an LCA tool.