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Slawomir Czarnecki, Adrian Chajec, Seweryn Malazdrewicz and Lukasz Sadowski
This paper predicts the abrasion resistance of a cementitious composite containing granite powder and fly ash replacing up to 30% of the cement weight. For this purpose, intelligent artificial neural network (ANN) models were used and compared. A databas...
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Murugan Muthu, Sanjeev Kumar and Lukasz Sadowski
Reactive magnesia cement (RMC) has gained interest due to its lower production temperatures when compared to Portland cement. In this study, the performance of pozzolan-based RMC concrete samples against sulphate attack was examined. Cube samples, after ...
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Anna Hola and Lukasz Sadowski
The paper presents the results of the verification of the neural method for assessing the humidity of saline brick walls. The method was previously developed by the authors and can be useful for the nondestructive assessment of the humidity of walls in h...
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Ali Ghorbani, Hadi Hasanzadehshooiili and Lukasz Sadowski
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Lukasz Sadowski, Mehdi Nikoo and Mohammad Nikoo
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 algorit...
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Mehdi Nikoo, Lukasz Sadowski and Mohammad Nikoo
A disadvantage of using linear polarization resistance (LPR) in the measurement of corrosion current density is the need to partially destroy a concrete cover. In this article, a new technique of predicting the corrosion current density in reinforced con...
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