| Machine learning model for predicting the crack detection and pattern recognition of geopolymer concrete beams N Aravind, S Nagajothi, S Elavenil Construction and Building Materials 297, 123785, 2021 | 43 | 2021 |
| Retrofitting of reinforced concrete beams using fibre reinforced polymer (FRP) composites–A review N Aravind, AK Samanta, DKS Roy, JV Thanikal Journal of Urban and Environmental Engineering 7 (1), 164-175, 2013 | 32 | 2013 |
| An experimental study on the effectiveness of externally bonded corrugated GFRP laminates for flexural cracks of RC beams N Aravind, AK Samanta, JV Thanikal, DKS Roy Construction and Building Materials 136, 348-360, 2017 | 18 | 2017 |
| Flexural strengthening of reinforced concrete (RC) beams retrofitted with corrugated glass fiber reinforced polymer (GFRP) laminates N Aravind, AK Samanta, DKS Roy, JV Thanikal Curved and Layered Structures 2 (1), 2015 | 11 | 2015 |
| Comparative study on the performance of corrugated GFRP laminates on normal and pre-cracked flexural concrete members N Aravind, AK Samanta, JV Thanikal, DK Singha Roy Asian Journal of Civil Engineering 20, 799-806, 2019 | 5 | 2019 |
| Experimental study and development of machine learning model using random forest classifier on shear strength prediction of RC beam with externally bonded GFRP composites AHS Al Mamari, RSHH Al Ghafri, N Aravind, R Dhandapani, ... Asian Journal of Civil Engineering 24 (1), 267-286, 2023 | 4 | 2023 |
| Theoretical analysis on flexural strengthening of RC beams using GFRP composites in terms of strength to the weight ratio: A way forward N Aravind, AK Samanta Materials Today: Proceedings, 2023 | 1 | 2023 |
| Production of Plastic Cement Concrete from PVC Waste IJI Al Kindi, MG Devi, M Al Abri, S Al Hasan, EMAM Al Hatali, N Aravind Fine Chemical Engineering, 63-79, 2021 | | 2021 |
