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Coatings 2017, 7(4), 49; doi:10.3390/coatings7040049

Hybrid Metaheuristic-Neural Assessment of the Adhesion in Existing Cement Composites

1
Faculty of Civil Engineering, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
2
Young Researchers and Elite Club, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
3
SAMA Technical and Vocational Training College, Islamic Azad University, Ahvaz Branch, Ahvaz, Iran
*
Author to whom correspondence should be addressed.
Academic Editor: Paul Lambert
Received: 29 December 2016 / Revised: 19 March 2017 / Accepted: 30 March 2017 / Published: 1 April 2017
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Abstract

The article presents the hybrid metaheuristic-neural assessment of the pull-off adhesion in existing multi-layer cement composites using artificial neural networks (ANNs) and the imperialist competitive algorithm (ICA). The ICA is a metaheuristic algorithm inspired by the human political-social evolution. This method is based solely on the use of ANNs and two non-destructive testing (NDT) methods: the impact-echo method (I-E) and the impulse response method (IR). In this research, the ICA has been used to optimize the weights of the ANN. The combined ICA-ANN model has been compared to the genetic algorithm (GA) and particle swarm optimization (PSO) to evaluate its accuracy. The results showed that the ICA-ANN model outperforms other techniques when testing datasets in terms of both effectiveness and efficiency. As presented in the validation stage, it is possible to reliably map the adhesion level on a tested surface without local damage to the latter. View Full-Text
Keywords: cement mortar; overlay; concrete substrate; interlayer bond; pull-off adhesion; artificial intelligence; metaheuristics; imperialist competitive algorithm; genetic algorithm; particle swarm optimization cement mortar; overlay; concrete substrate; interlayer bond; pull-off adhesion; artificial intelligence; metaheuristics; imperialist competitive algorithm; genetic algorithm; particle swarm optimization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Sadowski, Ł.; Nikoo, M.; Nikoo, M. Hybrid Metaheuristic-Neural Assessment of the Adhesion in Existing Cement Composites. Coatings 2017, 7, 49.

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