Enhancing compressive strength prediction in self-compacting concrete using machine learning and deep learning techniques with incorporation of rice husk ash and marble powder

Enhancing compressive strength prediction in self-compacting concrete using machine learning and deep learning techniques with incorporation of rice husk ash and marble powder

Focusing on sustainable development, the demand for alternative materials in concrete, especially for Self-Compacting Concrete (SCC), has risen due to excessive cement usage and resulting CO2 emissions. As Compressive Strength (CS) is dominant among concrete properties, this research concentrates on...

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Bibliographic Details
Main Authors: Muhammad Sarmad Mahmood, Ayub Elahi, Osama Zaid, Yasser Alashker, Adrian A. Șerbănoiu, Cătălina M. Grădinaru, Kiffayat Ullah, Tariq Ali
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Case Studies in Construction Materials
Subjects:
Self compacting concrete
Rice husk ash
Marble powder
Compressive strength
Machine learning
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509523007374

Internet

http://www.sciencedirect.com/science/article/pii/S2214509523007374

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