Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 304
| Issue Date | Title | Author(s) |
| 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. |
| 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. |
| 2024 | Prediction of moisture content of cementstabilized earth blocks using soil characteristics, cement content, and ultrasonic pulse velocity | Sathiparan, N.; Tharuka, R.A.N.S.; Jeyananthan, P. |
| 2023 | Soft computing techniques to predict the compressive strength of groundnut shell ash‑blended concrete | Sathiparan, N.; Jeyananthan, P. |
| 2025 | Comparative analysis of machine learning models and standard codes for predicting compressive strength in hollow block masonry | Sathiparan, N.; Jeyananthan, P. |
| 2023 | Predicting compressive strength of cementstabilized earth blocks using machine learning models incorporating cement content, ultrasonic pulse velocity, and electrical resistivity | Sathiparan, N.; Jeyananthan, P. |
| 2025 | Mathematical Model and Machine Learning Techniques to Predict the Compressive Strength of Groundnut Shell Ash Blended Sandcrete | Sathiparan, N.; Jeyananthan, P. |
| 2023 | Compression and Bond Properties of Fired Clay Brick Masonry with Cocopeat Blended Binding Mortar | Muralitharan, M.; 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. |
| 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. |
| 2025 | Optimizing fly ash and rice husk ash as cement replacements on the mechani-cal characteristics of pervious concrete | Sathiparan, N.; Subramaniam, D.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. |
| 2024 | Potential use of crushed waste glass and glass powder in sustainable pervious concrete: A review | Sathiparan, N.; Subramaniam, D.N. |
| 2023 | Effect of Wet Condition and Aggregates Type Used in Cement-Based Blocks on Mechanical Behavior of Masonry | Janarththan, P.; Arunjeyan, R.; Sathiparan, N. |
| 2021 | Behaviour of concrete specimens retrofitted with bio-based polyurethane coatings under dynamic loads | Somarathna, H.M.C.C.; Raman, S.N.; Mohotti, D.; Mutalib, A.A.; Badrie, K.H. |
| 2022 | Utilization of Bottom Ash for Clay Mine Rehabilitation | Suloshini, S.; Ranathunga, A.S.; Kulathilaka, S.A.S.; Gunawardana, W.B.; Mapa, M.M.S.T.M. |
| 2022 | Investigating the hydration characteristics of a new composite cementitious binder containing of slag and calcite | Chuang, L.; Krishnya, S.; Ogino, M.; Owaki, E.; Elakneswaran, Y. |
| 2022 | Modeling of hydration products and strength development for high-volume fly ash binders | Krishnya, S.; Herath, C.; Elakneswaran, Y.; Gunasekara, C.; Law, D.W.; Sujeeva, S. |
| 2023 | Numerical Simulation of ChlorideI on Ingression in Mortar incorporating the Effect of ITZ using an integrated COMSOL-IPHREEQC Framework | Krishnya, S.; Elakneswaran, Y.; Yoda, Y.; Kitagaki, R. |
Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 304