ANN-Based Fatigue Strength of Concrete under Compression
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Num3ros, 1600-275 Lisbon, Portugal
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Escola de Tecnologias e Engenharia, Instituto Superior de Educação e Ciências (ISEC), 1750-142 Lisbon, Portugal
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Politécnico, Universidad San Francisco de Quito, EC 170157 Quito, Ecuador
4
Engineering Structures, Civil Engineering and Geosciences, Delft University of Technology, 2628 CN Delft, The Netherlands
*
Author to whom correspondence should be addressed.
Materials 2019, 12(22), 3787; https://doi.org/10.3390/ma12223787
Received: 17 October 2019
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Revised: 5 November 2019
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Accepted: 13 November 2019
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Published: 18 November 2019
(This article belongs to the Section Construction and Building Materials)
When concrete is subjected to cycles of compression, its strength is lower than the statically determined concrete compressive strength. This reduction is typically expressed as a function of the number of cycles. In this work, we study the reduced capacity as a function of a given number of cycles by means of artificial neural networks. We used an input database with 203 datapoints gathered from the literature. To find the optimal neural network, 14 features of neural networks were studied and varied, resulting in the optimal neural net. This proposed model resulted in a maximum relative error of 5.1% and a mean relative error of 1.2% for the 203 datapoints. The proposed model resulted in a better prediction (mean tested to predicted value = 1.00 with a coefficient of variation 1.7%) as compared to the existing code expressions. The model we developed can thus be used for the design and the assessment of concrete structures and provides a more accurate assessment and design than the existing methods.
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Keywords:
artificial neural networks; codes; compression; concrete; cyclic behavior; databases; fatigue
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MDPI and ACS Style
Abambres, M.; Lantsoght, E.O.L. ANN-Based Fatigue Strength of Concrete under Compression. Materials 2019, 12, 3787. https://doi.org/10.3390/ma12223787
AMA Style
Abambres M, Lantsoght EOL. ANN-Based Fatigue Strength of Concrete under Compression. Materials. 2019; 12(22):3787. https://doi.org/10.3390/ma12223787
Chicago/Turabian StyleAbambres, Miguel, and Eva O.L. Lantsoght. 2019. "ANN-Based Fatigue Strength of Concrete under Compression" Materials 12, no. 22: 3787. https://doi.org/10.3390/ma12223787
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