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International journal of pavement engineering (2024)
30. Optimization of pervious concrete performance by varying aggregate shape, size, aggregate-to-cement ratio and compaction effort by using the Taguchi method
Wijekoon S H B, Sathiparan N & Subramaniam D N
International journal of pavement engineering (2024)
26. Machine learning techniques to evaluate the impact of calcium oxide (CaO) and silicon dioxide (SiO2) in supplementary cement materials on the compressive strength on sustainable pervious concrete
21. Response surface regression and machine learning models to predict the porosity and compressive strength of pervious concrete based on mix design parameters
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16. Surface response regression and machine learning techniques to predict the characteristics of pervious concrete using non-destructive measurement: Ultrasonic pulse velocity and electrical resistivity
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