Dr. Banti A. Gedam
Sardar Vallabhbhai National Institute of Technology Surat, Central Building Research Institute, Indian Institute of Technology Roorkee, Academy of Scientific and Innovative Research
About
Dr. Banti A. Gedam is currently serving as an Assistant Professor, Grade - I in the Department of Civil Engineering at SVNTI Surat. He obtained his Ph.D. in Civil Engineering from the esteemed Indian Institute of Technology, Roorkee, Uttarakhand, India. Dr. Banti A. Gedam completed his M.Tech in Structural Engineering from Visvesvaraya National Institute of Technology, Nagpur. Before joining SVNTI Surat, he worked as a Senior Scientist in Fire Safety Engineering and an Assistant Professor at the Academy of Scientific and Innovative Research (AcSIR), CSIR-Central Building Research Institute, Roorkee.
Dr. Banti A. Gedam specializes in fire resistance and has expertise in developing performance-based fire resistance designs for reinforced concrete structures. He is knowledgeable in active and passive fire protection measures, heat transfer evaluation, spalling mitigation of concrete at elevated temperatures, and high-performance and high-strength concrete's shrinkage and creep properties. Additionally, he has knowledge of sustainable construction and is experienced in using artificial intelligence for numerical and mathematical modelling.
Dr. Banti A. Gedam is an expert in the field of fire resistance and protection. He possesses extensive knowledge and experience in designing and installing passive fire protection systems and other safety measures to prevent fires. He specializes in mitigating concrete spalling at high temperatures, which is crucial for ensuring the structural stability and integrity of buildings exposed to severe fire load.
In addition, Dr. Banti A. Gedam has a profound understanding of sustainable construction practices and is dedicated to encouraging eco-friendly building methods. He specializes in analyzing the shrinkage and creep properties of high-performance and high-strength concrete and their impact on pre-stressed structural systems' short-term and long-term behaviour. With vast experience in conducting experimental research on concrete materials, he has a comprehensive knowledge of their properties and behaviour in diverse environmental conditions.
Dr. Banti A. Gedam is an expert in artificial intelligence's numerical and mathematical modelling. He has created advanced models that can simulate the effects of fire on structural members and predict the performance of building materials and elements in different fire scenarios. This knowledge is crucial for designing safe and efficient buildings that can withstand extreme events, such as fire hazards.
Employment
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Sardar Vallabhbhai National Institute of Technology Surat Assistant Professor, Grade - I2023 - Present
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Central Building Research Institute Senior Scientist2020 - 2023
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Academy of Scientific and Innovative Research Assistant Professor2018 - 2023
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Central Building Research Institute Scientist2016 - 2020
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Maharishi Markandeshwar University, Mullana Assistant Professor2015 - 2016
Education
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Indian Institute of Technology Roorkee PhD2010 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (14)
- Investigation of Mechanical Properties of High-Performance Steel and Polypropylene Fiber Reinforced Concrete Save
- Thermally Induced Concrete Properties at Elevated Temperature Save
- ANN-Powered Models for Predicting Shrinkage and Creep Properties of High-Performance Concrete Using Supplementary Cementitious Materials Save
- Spalling mitigation techniques for high-performance concrete at elevated temperature Save
- Fire resistance design method for reinforced concrete beams to evaluate fire-resistance rating Save
- Time-dependent behaviour prediction of the prestressed HPC I-girder Save
- Improved durability of concrete using supplementary cementitious materials Save
- Time-Dependent Behavior Prediction, Serviceability and Sustainability Problems for High-Performance Concrete Bridges Save
- Influence of supplementary cementitious materials on shrinkage, creep, and durability of high-performance concrete Save
- An apt material model for drying shrinkage and specific creep of HPC using artificial neural network Save