Browsing by Author Subramaniam, D.N.

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Showing results 1 to 18 of 18
Issue DateTitleAuthor(s)
2024Characterisation of the shape of aggregates using image analysisSubramaniam, D.N.; Dassanayake, D.H.H.P.; Ahilash, N.; Wijekoon, S.H.B.; Sathiparan, N.
2024Characterization of the shape of aggregates using image analysis and machine learning classification toolsSubramaniam, D.N.; Sajeevan, M.; Pratheeba, J.; Wijekoon, S.H.B.; Sathiparan, N.
2023Comparative study of fly ash and rice husk ash as cement replacement in pervious concrete: mechanical characteristics and sustainability analysisSubramaniam, D.N.; Sathiparan, N.
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.
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.
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.
2025Investigation on the effectiveness of fourier shape analysis in classifying milled aggregatesMithulavan, V.; Samarasinghe, T.; Valluvan, R.; Karnan, N.; Sathiparan, N.; Subramaniam, D.N.
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.
2024Potential use of crushed waste glass and glass powder in sustainable pervious concrete: A reviewSathiparan, N.; Subramaniam, D.N.
2024Quantifying the impact of chemical composition on pervious concrete strength: a comparative analysis using full quadratic model and artificial neural networkSathiparan, N.; Jeyananthan, P.; Subramaniam, D.N.
2025Response surface regression and machine learning models to predict the porosity and compressive strength of pervious concrete based on mix design parametersSathiparan, N.; Wijekoon, S.H.; Ravi, R.; Jeyananthan, P.; Subramaniam, D.N.
2024Silica fume as a supplementary cementitious material in pervious concrete: prediction of compressive strength through a machine learning approachSathiparan, N.; Jeyananthan, P.; Subramaniam, D.N.
2024Soft computing to predict the porosity and permeability of pervious concrete based on mix design and ultrasonic pulse velocitySathiparan, N.; Wijekoon, S.H.; Jeyananthan, P.; Subramaniam, D.N.
2023Statistical Assessment of Different Aggregate Shape FactorsWijekoon, S.H.B.; Subramaniam, D.N.; Sathiparan, N.
2025Statistical investigation of aggregate size and shape impact on porosity and compressive strength of pervious concreteSajeevan, M.; Ahilash, N.; Shobijan, J.; Pravinjan, V.; Virupashan, K.; Sathiparan, N.; Subramaniam, D.N.