Prediction of compressive strength of fly ash blended pervious concrete: a machine learning approach
Author:
Affiliation:
1. Department of Civil Engineering, Faculty of Engineering, University of Jaffna, Jaffna, Sri Lanka
2. Department of Computer Engineering, Faculty of Engineering, University of Jaffna, Jaffna, Sri Lanka
Publisher
Informa UK Limited
Subject
Mechanics of Materials,Civil and Structural Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/10298436.2023.2287146
Reference65 articles.
1. Mathematical modeling techniques to predict the compressive strength of pervious concrete modified with waste glass powders
2. Effect of cement replacement by fly ash and epoxy on the properties of pervious concrete
3. An experimental study on pervious concrete;Amirthagadeshwaran G.;International Research Journal of Multidisciplinary Technovation,2019
4. Properties of pervious concrete containing fly ash
5. Properties of pervious concrete pavement with fly ash in roadways;Bhaarath M.;International Journal of Creative Research Thoughts,2018
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