Artificial Intelligence in Concrete Mix Design: Advances, Applications and Challenges
Conference paper
Barbhuiya, S. and Sharif, S. 2023. Artificial Intelligence in Concrete Mix Design: Advances, Applications and Challenges. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391485
Authors | Barbhuiya, S. and Sharif, S. |
---|---|
Type | Conference paper |
Abstract | This review paper explores the application of Artificial Intelligence (AI) in concrete mix design and its impact on the concrete industry. The traditional approaches to concrete mix design are first discussed, highlighting their limitations. Subsequently, various applications of AI in concrete mix design are presented, including optimal proportioning of concrete mixes, prediction of concrete properties, quality control and assurance, concrete strength prediction and optimisation and durability assessment and enhancement. The benefits and impact of AI in the concrete industry are then examined, emphasising the advantages and benefits of using AI in concrete mix design. However, challenges and limitations related to data availability and quality, interpretability of AI models and integration with existing design practices are also addressed. Finally, the paper concludes with a summary of key findings and recommendations for future research in this field. |
Year | 2023 |
Conference | 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies |
Publisher | IEEE |
Accepted author manuscript | License File Access Level Anyone |
Publication dates | |
Online | 19 Jan 2024 |
Publication process dates | |
Accepted | 14 Sep 2023 |
Deposited | 25 Sep 2023 |
Journal citation | pp. 32-37 |
ISSN | 2770-7466 |
2770-7458 | |
Book title | Proceedings: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2023) |
ISBN | 9798350307788 |
9798350307771 | |
Digital Object Identifier (DOI) | https://doi.org/10.1109/3ICT60104.2023.10391485 |
Web address (URL) of conference proceedings | https://ieeexplore.ieee.org/xpl/conhome/10391285/proceeding |
Copyright holder | © 2023, IEEE |
Copyright information | Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
https://repository.uel.ac.uk/item/8wq08
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