Recycled Aggregate Concrete Incorporating GGBS and Polypropylene Fibers Using RSM and Machine Learning Techniques

Recycled Aggregate Concrete Incorporating GGBS and Polypropylene Fibers Using RSM and Machine Learning Techniques

In this study, Response Surface Methodology (RSM) and machine learning models were used to predict the mechanical properties of recycled aggregate concrete (RAC) containing ground granulated blast furnace slag (GGBS) and polypropylene fibers (PPFs). The investigation focused on compressive strength...

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Bibliographic Details
Main Authors: Anjali Jaglan, Rati Ram Singh
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Buildings
Subjects:
recycled aggregates
ground granulated blast furnace slag
polypropylene fiber
workability
compressive strength
Online Access:https://www.mdpi.com/2075-5309/15/1/66
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