Predicting the compressive strength of rubberized concrete incorporating brick powder based on MLP and RBF neural networks

Predicting the compressive strength of rubberized concrete incorporating brick powder based on MLP and RBF neural networks

The investigations on the performance of concrete incorporating waste materials hold promise in achieving sustainable construction. Although various studies have addressed the mechanical behaviour of concrete containing waste tyre rubber (WTR) and clay brick powder (CBP), an advanced understanding o...

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Bibliographic Details
Main Authors: David Sinkhonde, Destine Mashava, Tajebe Bezabih, Derrick Mirindi
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Waste Management Bulletin
Subjects:
Artificial neural network
Clay brick powder
Concrete
Multilayer perceptron
Radial basis function
Waste tyre rubber
Online Access:http://www.sciencedirect.com/science/article/pii/S2949750725000082
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