Navaratnarajah Sathiparan

the university of jaffna

29H指数

130论文数

2.4K被引数

收录论文 47

发表时间

Influence of design factors on pore size distribution in pervious concrete using machine learning classification 利用机器学习分类研究设计因素对透水混凝土孔径分布的影响

International Journal of Pavement Engineering

IF3.3

2026-07-24

PREAI

Rinduja Ravi; Navaratnarajah Sathiparan; Daniel Niruban Subramaniam

The impact of oxides of cementitious materials on mortar strength: A machine learning perspective 水泥基材料氧化物对砂浆强度的影响：机器学习视角

Sustainable Chemistry and Pharmacy

IF5.8

2025-08-29

PREAI

Navaratnarajah Sathiparan

Pervious Concrete Pavement Permeability and Runoff Microplastics Mitigation—A Critical Review 透水混凝土路面渗透性与径流微塑料削减——一项综述研究

International Journal of Pavement Research and Technology

IF2.5

2025-08-04

PREAI

Janarth Asoharasa; Daniel Niruban Subramaniam; Navaratnarajah Sathiparan; Sudhira De Silva; Champika Ellawala

Boosted Forest Model for Aggregate Size and Shape Impact on Porosity and Compressive Strength of Pervious Concrete 提升森林模型用于分析透水混凝土中骨料尺寸和形状对孔隙率和抗压强度的影响

International Journal of Pavement Research and Technology

IF2.5

2025-07-18

PREAI

Daniel Niruban Subramaniam; Pratheeba Jeyananthan; Navaratnarajah Sathiparan

Comparative study on quarry waste, manufactured sand, quarry dust as river sand replacement in cement mortar: Mechanical characteristics, durability, and eco-benefit 采石场废料，人工砂，采石场粉尘作为水泥砂浆中河砂替代物的比较研究: 机械特性，耐久性和生态效益

MATERIALIA

IF2.9

2025-05-01

PREAI

Pakkiyachandran, Mathurshika; Sathiparan, Navaratnarajah

A systematic review of corncob ash in construction: Current findings and future directions 玉米芯灰在建筑中的系统综述：当前发现和未来方向

SUSTAINABLE MATERIALS AND TECHNOLOGIES

IF9.2

2025-04-01

PREAI

Sathiparan, Navaratnarajah

Prediction of characteristics of pervious concrete by machine learning technique using mix parameters and non-destructive test measurements

NONDESTRUCTIVE TESTING AND EVALUATION

IF4.2

2025-02-20

PREAI

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

Predicting compressive strength in cement mortar: The impact of fly ash composition through machine learning 通过机器学习预测水泥砂浆的抗压强度: 粉煤灰成分的影响

SUSTAINABLE CHEMISTRY AND PHARMACY

IF5.8

2025-02-01

PREAI

Sathiparan, Navaratnarajah

Investigation on the effectiveness of fourier shape analysis in classifying milled aggregates

CONSTRUCTION AND BUILDING MATERIALS

IF8

2025-01-01

PREAI

Mithulavan, Vigneswararajah; Samarasinghe, Tharaka; Valluvan, Ragupathyraj; Karnan, Arumairasa; Sathiparan, Navaratnarajah; Subramaniam, Daniel Niruban

Statistical investigation of aggregate size and shape impact on porosity and compressive strength of pervious concrete 骨料尺寸和形状对透水混凝土孔隙率和抗压强度影响的统计研究

ROAD MATERIALS AND PAVEMENT DESIGN

IF3

2024-12-23

PREAI

Sajeevan, Mohan; Ahilash, Navakulan; Shobijan, Jeyaseelan; Pravinjan, Varatharaja; Virupashan, Karunanithy; Sathiparan, Navaratnarajah; Subramaniam, Daniel Niruban

Predicting compressive strength of grouted masonry using machine learning models with feature importance analysis

MATERIALS TODAY COMMUNICATIONS

IF4.5

2024-12-01

PREAI

Sathiparan, Navaratnarajah

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

SUSTAINABLE CHEMISTRY AND PHARMACY

IF5.8

2024-12-01

PREAI

Sathiparan, Navaratnarajah; Jeyananthan, Pratheeba; Subramaniam, Daniel Niruban

Combine the use of rice husk ash and quarry waste for sustainable masonry blocks: Mechanical characteristics, durability and eco-benefits 将稻壳灰和采石场废料的使用结合起来用于可持续的砖石砌块: 机械特性，耐用性和生态效益

JOURNAL OF BUILDING ENGINEERING

IF7.4

2024-12-01

PREAI

Gunasekaran, Vinoja; Sathiparan, Navaratnarajah

Quantifying the impact of chemical composition on pervious concrete strength: a comparative analysis using full quadratic model and artificial neural network

INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING

IF3.3

2024-11-22

PREAI

Sathiparan, Navaratnarajah; Jeyananthan, Pratheeba; Subramaniam, Daniel Niruban

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

INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING

IF3.3

2024-07-22

PREAI

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

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

ROAD MATERIALS AND PAVEMENT DESIGN

IF3

2024-07-09

PREAI

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

Characterisation of the shape of aggregates using image analysis 使用图像分析表征聚集体的形状

INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING

IF3.3

2024-06-03

PREAI

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

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

INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING

IF3.3

2024-04-09

PREAI

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

Surface response regression and machine learning techniques to predict the characteristics of pervious concrete using non-destructive measurement: Ultrasonic pulse velocity and electrical resistivity 表面响应回归和机器学习技术使用无损测量预测透水混凝土的特性: 超声波脉冲速度和电阻率

MEASUREMENT

IF5.6

2024-02-01

PREAI

Sathiparan, Navaratnarajah; Jeyananthan, Pratheeba; Subramaniam, Daniel Niruban