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

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

Civil and Environmental Engineering

Volume 18 (2022): Issue 2 (December 2022)

By: Hatem Almasaeid, Abdelmajeed Alkasassbeh and Bilal Yasin

Open Access

|Dec 2022

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DOI: https://doi.org/10.2478/cee-2022-0060 | Journal eISSN: 2199-6512 | Journal ISSN: 1336-5835

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Language: English

Page range: 655 - 665

Published on: Dec 14, 2022

Published by: University of Žilina

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Artificial neural network,

Geopolymer concrete,

Nondestructive test,

Ultrasonic pulse velocity,

Schmidt rebound hammer

Related subjects:

Business and economics,

Political economics,

Economic theory, systems and structures,

Business management,

Environmental management

© 2022 Hatem Almasaeid, Abdelmajeed Alkasassbeh, Bilal Yasin, published by University of Žilina
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 18 (2022): Issue 2 (December 2022)

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