Research
Title : | Assessment of durability properties of UHPFRC and application of integrated metaheuristic algorithm with Artificial Neural Network for predicting the properties |
Area of research : | Engineering Sciences |
Principal Investigator : | Dr. Rahul Biswas, Visvesvaraya National Institute Of Technology, Maharashtra |
Timeline Start Year : | 2024 |
Timeline End Year : | 2027 |
Contact info : | rahulbiswas@apm.vnit.ac.in |
Equipments : | Flexural testing mould (50 x 100 x 100) Flow Table, Motorised Miscellaneous Lab Equipment's split tensile testing mould (50x100) Thermometer and Large thermostat for storing cold water etc. Concrete abrasion Testing machine Concrete Impermeability Apparatus Concrete Mortar Pan Mixture Cube mould (100mm x 100mm x 100 mm) Cylindrical Moulds (25mm x50 mm) Workstation Automatic sieve Analysis Machine |
Details
Executive Summary : | It is worth noting that as of my knowledge till date, there is a limited study on the durability of UHPFRC conducted in India. Given the importance of assessing the long-term performance and sustainability of this advanced construction material, there is a clear need for research initiatives in India to investigate the durability characteristics of UHPFRC under local environmental conditions. such studies would provide valuable insights for the Indian construction industry, aiding in the optimization, application, and further development of UHPFRC for future infrastructure projects in the country. Hence this research aims to carry a study on the long-term durability properties of concrete and also use modern tools such as Machine Learning to predict the durability properties efficiently. |
Total Budget (INR): | 45,36,400 |
Organizations involved
Implementing Agency : | Visvesvaraya National Institute Of Technology, Maharashtra |
Funding Agency : | Anusandhan National Rsearch Foundation (ANRF)/science and Engineering Research Board (sERB) |
Source : | Anusandhan National Research Foundation/science and Engineering Research Board (sERB), DsT 2023-24 |