Browsing by Author Subramaniam, D.N.
Showing results 1 to 14 of 14
| Issue Date | Title | Author(s) |
| 2024 | Characterisation of the shape of aggregates using image analysis | Subramaniam, D.N.; Dassanayake, D.H.H.P.; Ahilash, N.; Wijekoon, S.H.B.; Sathiparan, N. |
| 2024 | Characterization of the shape of aggregates using image analysis and machine learning classification tools | Subramaniam, D.N.; Sajeevan, M.; Pratheeba, J.; Wijekoon, S.H.B.; Sathiparan, N. |
| 2023 | Comparative study of fly ash and rice husk ash as cement replacement in pervious concrete: mechanical characteristics and sustainability analysis | Subramaniam, D.N.; Sathiparan, N. |
| 2025 | A comparative study of machine learning techniques and data processing for predicting the compressive strength of pervious concrete with supplementary cementitious materials and chemical composition influence | Sathiparan, N.; Jeyananthan, P.; Subramaniam, D.N. |
| 2025 | Effect of rice husk ash on compressive strength of sustainable pervious concrete and prediction model using machine learning algorithms | Sathiparana, N.; Jeyananthan, P.; Subramaniam, D.N. |
| 2024 | Optimisation of pervious concrete performance by varying aggregate shape, size, aggregate-tocement ratio, and compaction effort by using the Taguchi method | Wijekoon, S.H.B.; Sathiparan, N.; Subramaniam, D.N. |
| 2025 | Optimizing fly ash and rice husk ash as cement replacements on the mechani-cal characteristics of pervious concrete | Sathiparan, N.; Subramaniam, D.N. |
| 2024 | Potential use of crushed waste glass and glass powder in sustainable pervious concrete: A review | Sathiparan, N.; Subramaniam, D.N. |
| 2024 | Quantifying the impact of chemical composition on pervious concrete strength: a comparative analysis using full quadratic model and artificial neural network | Sathiparan, N.; Jeyananthan, P.; Subramaniam, D.N. |
| 2025 | Response surface regression and machine learning models to predict the porosity and compressive strength of pervious concrete based on mix design parameters | Sathiparan, N.; Wijekoon, S.H.; Ravi, R.; Jeyananthan, P.; Subramaniam, D.N. |
| 2024 | Silica fume as a supplementary cementitious material in pervious concrete: prediction of compressive strength through a machine learning approach | Sathiparan, N.; Jeyananthan, P.; Subramaniam, D.N. |
| 2024 | Soft computing to predict the porosity and permeability of pervious concrete based on mix design and ultrasonic pulse velocity | Sathiparan, N.; Wijekoon, S.H.; Jeyananthan, P.; Subramaniam, D.N. |
| 2023 | Statistical Assessment of Different Aggregate Shape Factors | Wijekoon, S.H.B.; Subramaniam, D.N.; Sathiparan, N. |
| 2025 | Statistical investigation of aggregate size and shape impact on porosity and compressive strength of pervious concrete | Sajeevan, M.; Ahilash, N.; Shobijan, J.; Pravinjan, V.; Virupashan, K.; Sathiparan, N.; Subramaniam, D.N. |
