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Browsing by Subject Compressive strength

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Showing results 1 to 20 of 31  next >
Issue DateTitleAuthor(s)
2025A comparative study of machine learning techniques and data processing for predicting the compressive strength of pervious concrete with supplementary cementitious materials and chemical composition influenceSathiparan, N.; Jeyananthan, P.; Subramaniam, D.N.
2022Effect of Ordinary Portland Cement (OPC) and Blended Hydraulic Cement (BHC) on the Behaviour of Self-Compacting ConcreteDeshabandu, D.S.; Ariyarathne, K.C.; Athapaththu, M.A.A.D.O.; Janarthanan, B.
2025Effect of rice husk ash on compressive strength of sustainable pervious concrete and prediction model using machine learning algorithmsSathiparana, N.; Jeyananthan, P.; Subramaniam, D.N.
2018The effects of using agricultural waste as partial substitute for sand in cement blocksSathiparan, N.; De Zoysa, H.T.S.M.
2021Experimental Investigation on Compressive Strength of Plastic Waste Incorporated ConcreteRoopathilagan, W.; Nilakshan, B.; Nithurshan, M.; Mohamed, A.R.I.S.
2025The impact of oxides of cementitious materials on mortar strength: A machine learning perspectiveSathiparan, N.
2022Influence of aggregate gradation and compaction on compressive strength and porosity characteristics of pervious concreteAnburuvel, A.; Daniel Niruban, S.
2023Investigation of Compaction on Compressive Strength and Porosity of Pervious ConcreteSajeevan, M.; Daniel Niruban, S.; Rinduja, R.; Pratheeba, J.
2025Investigation of Compaction on Compressive Strength and Porosity of Pervious ConcreteSajeevan, M.; Subramaniam, D.N.; Rinduja, R.; Pratheeba, J.
2025Investigation of impact of aggregate shape on pervious concrete using machine learning classification methodsWijekoon, S.H.B.; Ahilash, N.; Pravinjan, V.; Virupashan, K.; Sathiparan, N.; Jeyananthan, P.; Subramaniam, D.N.
2025Investigation of the compactability of pervious concrete and its impact on porosity and compressive strengthSubramaniam, D.N.
2021Manufactured Sand as River Sand Replacement for Masonry Binding MortarKosalya, S.; Arvinthan, P.; Sathiparan, N.
2025Mathematical Model and Machine Learning Techniques to Predict the Compressive Strength of Groundnut Shell Ash Blended SandcreteSathiparan, N.; Jeyananthan, P.
2023Mathematical Model to Predict the Compressive Strength of Pervious ConcreteSathushka Heshan, W.; Janotha, P.; Shajeefpiranath, T.; Daniel Niruban, S.; Sathiparan, N.
2023A mathematical model to predict the porosity and compressive strength of pervious concrete based on the aggregate size, aggregate‑to‑cement ratio and compaction effortSathushka Heshan, W.; Thirugnasivam, S.; Daniel Niruban, S.; Sathiparan, N.
2022Modeling of hydration products and strength development for high-volume fly ash bindersKrishnya, S.; Herath, C.; Elakneswaran, Y.; Gunasekara, C.; Law, D.W.; Sujeeva, S.
2024Optimisation of pervious concrete performance by varying aggregate shape, size, aggregate-tocement ratio, and compaction effort by using the Taguchi methodWijekoon, S.H.B.; Sathiparan, N.; Subramaniam, D.N.
2025Optimizing fly ash and rice husk ash as cement replacements on the mechani-cal characteristics of pervious concreteSathiparan, N.; Subramaniam, D.N.
2025Predicting compressive strength in cement mortar: The impact of fly ash composition through machine learningSathiparan, N.
2023Predicting compressive strength of cementstabilized earth blocks using machine learning models incorporating cement content, ultrasonic pulse velocity, and electrical resistivitySathiparan, N.; Pratheeba, J.
Showing results 1 to 20 of 31  next >