Prediction of Geopolymer Concrete Compressive Strength Utilizing Artificial Neural Network and Nondestructive Testing

Prediction of Geopolymer Concrete Compressive Strength Utilizing Artificial Neural Network and Nondestructive Testing

A promising substitute for regular concrete is geopolymer concrete. Engineering mechanical parameters of geopolymer concrete, including compressive strength, are frequently measured in the laboratory or in-situ via experimental destructive tests, which calls for a significant quantity of raw materia...

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Bibliographic Details
Main Authors: Almasaeid Hatem, Alkasassbeh Abdelmajeed, Yasin Bilal
Format: Article
Language:English
Published: Sciendo 2022-12-01
Series:Civil and Environmental Engineering
Subjects:
artificial neural network
geopolymer concrete
nondestructive test
ultrasonic pulse velocity
schmidt rebound hammer
Online Access:https://doi.org/10.2478/cee-2022-0060

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