Publications

PUBLISHED

1. PK Ashish, A Sreeram, X Xu, P Chandrasekar, A Jagadeesh, D Adwani, RK Padhan (2023), 'Closing the loop: Harnessing waste plastics for sustainable asphalt mixtures – A comprehensive review', Construction Building Materials. (Link)

2. P Chandrasekar, A Nourin, ASNBA Gupta, BV Jyoshna, D Sathyan (2022), ‘Modelling the yield stress of fly-ash added superplasticized cement paste at different temperatures using Artificial Neural Network’, 3rd International Conference on Materials Science and Manufacturing Technology. (Link)

3. V Poornima, R Venkatasubramani, V Sreevidya, P Chandrasekar (2021), ‘Study on properties of bio-bricks’, Global Conference on Recent Advances in Sustainable Materials. (Link)

4. V Poornima, R Venkatasubramani, V Sreevidya, C Pavan, A Nourin (2020), ‘Effect of microbial solution on compressive strength, water absorption and sorptivity of cement mortar incorporated with metakaolin’, 2nd International Conference on Materials Science and Manufacturing Technology. (Link)

ACCEPTED

1. P Chandrasekar, A Nourin, BV Jyoshna, ASNBA Gupta, D Sathyan (2021), ‘Modelling the rheological properties of fly-ash incorporated superplasticized cement paste at different temperatures using Artificial Neural Network’, 3rd International Conference on Materials Science and Manufacturing Technology.

2. P Chandrasekar, S Sulaiman, V Poornima, R Venkatasubramani, V Sreevidya (2021), ‘State-of-the-art analysis on causes and repair of cracks in rigid pavement’, F-EIR Conference. 

3. P Yu, R Salameh, P Chandrasekar, YT Tsai, (2023), 'Pavement friction estimation using convolutional neural network and surface texture parameters', Transportation Research Board.

IN-PROGRESS

1.  Automated asphalt pavement raveling detection and classification using 3D laser technology

2.  A recent trend in tire-pavement friction modeling: a critical and future research opportunities

3.  A state-of-the-art review of circular economy in solid waste management: pre and post-pandemic practices

4. Optimized correlation between mean profile depth and pavement friction