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Daniel Niruban Subramaniam

Observed names: D N Subramaniam, D. N. Subramaniam, Daniel N. Subramaniam, Daniel Subramaniam, Subramaniam, Daniel Niruban
ORCID: 0000-0002-1023-1617
Observed ORCID: 0000-0002-1023-1617
OpenAlex ID: A5002583380
Comparative study of fly ash and rice husk ash as cement replacement in pervious concrete: mechanical characteristics and sustainability analysis
2022 · Daniel Niruban Subramaniam, Navaratnarajah Sathiparan · International Journal of Pavement Engineering · 89
Optimizing fly ash and rice husk ash as cement replacements on the mechani-cal characteristics of pervious concrete
2025 · Navaratnarajah Sathiparan, Daniel Niruban Subramaniam · Sustainable Structures · 72
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Surface response regression and machine learning techniques to predict the characteristics of pervious concrete using non-destructive measurement: Ultrasonic pulse velocity and electrical resistivity
2023 · Navaratnarajah Sathiparan, Pratheeba Jeyananthan, et al. · Measurement · 62
Utilization of supplementary cementitious materials in pervious concrete: a review
2024 · N. Sathiparan, D. H. H. P. Dassanayake, et al. · International Journal of Environmental Science and Technology · 59
Influence of aggregate gradation and compaction on compressive strength and porosity characteristics of pervious concrete
2022 · Arulanantham Anburuvel, Daniel Niruban Subramaniam · International Journal of Pavement Engineering · 53
Dynamics of Nitrate-Nitrogen Removal in Experimental Stormwater Biofilters under Intermittent Wetting and Drying
2015 · Daniel Subramaniam, Peter Mather, et al. · Journal of Environmental Engineering · 50
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
2023 · Sathushka Heshan Wijekoon, Thirugnasivam Shajeefpiranath, et al. · Asian Journal of Civil Engineering · 44
Effect of aggregate size, aggregate to cement ratio and compaction energy on ultrasonic pulse velocity of pervious concrete: prediction by an analytical model and machine learning techniques
2023 · Navaratnarajah Sathiparan, Pratheeba Jeyananthan, et al. · Asian Journal of Civil Engineering · 35
Prediction of compressive strength of fly ash blended pervious concrete: a machine learning approach
2023 · Navaratnarajah Sathiparan, Pratheeba Jeyananthan, et al. · International Journal of Pavement Engineering · 34
Potential use of crushed waste glass and glass powder in sustainable pervious concrete: A review
2024 · Navaratnarajah Sathiparan, Daniel Niruban Subramaniam · Cleaner Waste Systems · 32
Investigation of the Effects of Compaction on Compressive Strength and Porosity Characteristics of Pervious Concrete
2022 · Arulanantham Anburuvel, Daniel Niruban Subramaniam · Transportation Research Record Journal of the Transportation Research Board · 30
An Alternative Approach to Optimize Aggregate-to-Cement Ratio and Compaction in Pervious Concrete
2022 · D. N. Subramaniam, S. Hareindirasarma, et al. · Arabian Journal for Science and Engineering · 23
Soft computing techniques to predict the electrical resistivity of pervious concrete
2023 · Daniel Niruban Subramaniam, Pratheeba Jeyananthan, et al. · Asian Journal of Civil Engineering · 22
Stabilization of Stormwater Biofilters: Impacts of Wetting and Drying Phases and the Addition of Organic Matter to Filter Media
2015 · D. N. Subramaniam, P. Egodawatta, et al. · Environmental Management · 22
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Predicting compressive strength of pervious concrete with fly ash: a machine learning approach and analysis of fly ash compositional influence
2024 · Navaratnarajah Sathiparan, Pratheeba Jeyananthan, et al. · Multiscale and Multidisciplinary Modeling Experiments and Design · 20
Silica fume as a supplementary cementitious material in pervious concrete: prediction of compressive strength through a machine learning approach
2024 · Navaratnarajah Sathiparan, Pratheeba Jeyananthan, et al. · Asian Journal of Civil Engineering · 20
Investigation of Compaction on Compressive Strength and Porosity of Pervious Concrete
2023 · M. Sajeevan, D. N. Subramaniam, et al. · International Journal of Pavement Research and Technology · 19
A machine learning approach to predicting pervious concrete properties: a review
2025 · Navaratnarajah Sathiparan, Pratheeba Jeyananthan, et al. · Innovative Infrastructure Solutions · 18
Optimisation of pervious concrete performance by varying aggregate shape, size, aggregate-to-cement ratio, and compaction effort by using the Taguchi method
2024 · Sathushka Heshan Bandara Wijekoon, Navaratnarajah Sathiparan, et al. · International Journal of Pavement Engineering · 18
Thermal comfort analysis of fired-clay brick, cement-sand block and cement stabilized earth block masonry house models
2022 · Navaratnarajah Sathiparan, Daniel N. Subramaniam, et al. · Innovative Infrastructure Solutions · 17
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
2025 · Navaratnarajah Sathiparan, Pratheeba Jeyananthan, et al. · Next Materials · 16
A Novel Multi-variable Model for the Estimation of Compressive Strength of Pervious Concrete
2022 · Arulanantham Anburuvel, Daniel Niruban Subramaniam · International Journal of Pavement Research and Technology · 16
Machine learning techniques to evaluate the impact of calcium oxide (CaO) and silicon dioxide (SiO2) in supplementary cement materials on the compressive strength of sustainable pervious concrete
2024 · Navaratnarajah Sathiparan, Pratheeba Jeyananthan, et al. · Sustainable Chemistry and Pharmacy · 15
Soft computing to predict the porosity and permeability of pervious concrete based on mix design and ultrasonic pulse velocity
2024 · Navaratnarajah Sathiparan, Sathushka Heshan Wijekoon, et al. · International Journal of Pavement Engineering · 13
Investigation of boundary layer impact on pervious concrete
2022 · M. Sajeevan, D. N. Subramaniam · International Journal of Pavement Engineering · 13
Works count: 70
Citation count: 1,036
H-index: 18
I10-index: 34
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