Employing neural networks, fuzzy logic, and Weibull analysis for the evaluation of recycled brick powder in concrete compositions

Mohtasham Moein, M. orcid.org/0000-0003-3756-6959, Rahmati, K., Mohtasham Moein, A. et al. (3 more authors) (2024) Employing neural networks, fuzzy logic, and Weibull analysis for the evaluation of recycled brick powder in concrete compositions. Buildings, 14 (12). 4062. ISSN 2075-5309

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Item Type: Article
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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Keywords: construction and demolition wastes; brick powder; impact strength; artificial neural networks; fuzzy logic; weibull distribution
Dates:
  • Published: December 2024
  • Published (online): 21 December 2024
  • Accepted: 20 December 2024
  • Submitted: 6 November 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > School of Mechanical, Aerospace and Civil Engineering
Depositing User: Symplectic Sheffield
Date Deposited: 17 Jan 2025 15:30
Last Modified: 17 Jan 2025 15:30
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: 10.3390/buildings14124062
Related URLs:
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 12: Responsible Consumption and Production
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