Forecasting Compressive Strength of RHA Based Concrete Using Multi-Expression Programming

Forecasting Compressive Strength of RHA Based Concrete Using Multi-Expression Programming

Rice husk ash (RHA) is a significant pollutant produced by agricultural sectors that cause a malignant outcome to the environment. To encourage the re-use of RHA, this work used multi expression programming (MEP) to construct an empirical model for forecasting the compressive nature of concrete made...

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Bibliographic Details
Main Authors: Muhammad Nasir Amin, Kaffayatullah Khan, Muhammad Faisal Javed, Dina Yehia Zakaria Ewais, Muhammad Ghulam Qadir, Muhammad Iftikhar Faraz, Mir Waqas Alam, Anas Abdulalim Alabdullah, Muhammad Imran
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Materials
Subjects:
rice husk ash
machine learning
waste material
external validation
compressive strength
Online Access:https://www.mdpi.com/1996-1944/15/11/3808

Internet

https://www.mdpi.com/1996-1944/15/11/3808

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