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Works by Wijekoon, Sathushka Heshan

Results: 5

1

Response surface regression and machine learning models to predict the porosity and compressive strength of pervious concrete based on mix design parameters.

Published in:

Road Materials & Pavement Design, 2025, v. 26, n. 3, p. 618, doi. 10.1080/14680629.2024.2374885

By:

Sathiparan, Navaratnarajah;
Wijekoon, Sathushka Heshan;
Ravi, Rinduja;
Jeyananthan, Pratheeba;
Subramaniam, Daniel Niruban

Publication type:

Article

2

Optimisation of pervious concrete performance by varying aggregate shape, size, aggregate-to-cement ratio, and compaction effort by using the Taguchi method.

Published in:

International Journal of Pavement Engineering, 2024, v. 25, n. 1, p. 1, doi. 10.1080/10298436.2024.2380523

By:

Wijekoon, Sathushka Heshan Bandara;
Sathiparan, Navaratnarajah;
Subramaniam, Daniel Niruban

Publication type:

Article

3

Characterisation of the shape of aggregates using image analysis.

Published in:

International Journal of Pavement Engineering, 2024, v. 25, n. 1, p. 1, doi. 10.1080/10298436.2024.2349905

By:

Subramaniam, Daniel Niruban;
Dassanayake, Dassanayake Hitihamilage Hiruni Pubudika;
Ahilash, Navakulan;
Wijekoon, Sathushka Heshan Bandara;
Sathiparan, Navaratnarajah

Publication type:

Article

4

Soft computing to predict the porosity and permeability of pervious concrete based on mix design and ultrasonic pulse velocity.

Published in:

International Journal of Pavement Engineering, 2024, v. 25, n. 1, p. 1, doi. 10.1080/10298436.2024.2337916

By:

Sathiparan, Navaratnarajah;
Wijekoon, Sathushka Heshan;
Jeyananthan, Pratheeba;
Subramaniam, Daniel Niruban

Publication type:

Article

5

Characterization of the shape of aggregates using image analysis and machine learning classification tools.

Published in:

Geomechanics & Geoengineering, 2024, v. 19, n. 4, p. 421, doi. 10.1080/17486025.2023.2288655

By:

Subramaniam, Daniel Niruban;
Sajeevan, Mohan;
Pratheeba, Jeyananthan;
Wijekoon, Sathushka Heshan Bandara;
Sathiparan, Navaratnarajah

Publication type:

Article