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Issue Date
Title
Author(s)
2018
The effects of using agricultural waste as partial substitute for sand in cement blocks
Sathiparan, N.
;
De Zoysa, H.T.S.M.
2023
Soft computing techniques to predict the compressive strength of groundnut shell ash-blended concrete
Sathiparan, N.
;
Pratheeba, J.
2023
Predicting compressive strength of cementstabilized earth blocks using machine learning models incorporating cement content, ultrasonic pulse velocity, and electrical resistivity
Sathiparan, N.
;
Pratheeba, J.
2023
A mathematical model to predict the porosity and compressive strength of pervious concrete based on the aggregate size, aggregate‑to‑cement ratio and compaction effort
Sathushka Heshan, W.
;
Thirugnasivam, S.
;
Daniel Niruban, S.
;
Sathiparan, N.
2023
Prediction of characteristics of cement stabilized earth blocks using non-destructive testing: Ultrasonic pulse velocity and electrical resistivity
Sathiparan, N.
;
Jayasundara, W.G.B.S.
;
Samarakoon, K.S.D.
;
Banujan, B.
2021
Strength and durability characteristics of cement blocks incorporating quarry dust as river sand replacement
Kosalya, S.
;
Arvinthan, P.
;
Anburuvel, A.
;
Sathiparan, N.
2021
Manufactured Sand as River Sand Replacement for Masonry Binding Mortar
Kosalya, S.
;
Arvinthan, P.
;
Sathiparan, N.
2023
Prediction of compressive strength of fly ash blended pervious concrete: a machine learning approach
Sathiparan, N.
;
Pratheeba, J.
;
Daniel Niruban, S.
2023
Mathematical Model to Predict the Compressive Strength of Pervious Concrete
Sathushka Heshan, W.
;
Janotha, P.
;
Shajeefpiranath, T.
;
Daniel Niruban, S.
;
Sathiparan, N.
2023
Use of soft computing approaches for the prediction of compressive strength in concrete blends with eggshell powder
Sathiparan, N.
;
Pratheeba, J.
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Jayasundara, W.G.B.S.
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Samarakoon, K.S.D.
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Shajeefpiranath, T.
1
Thirugnasivam, S.
.
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Machine learning
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Pervious concrete
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Aggregate
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Durability
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Electrical resistivity
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Date issued
7
2023
2
2021
1
2018
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10
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