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Turning Marginal Aggregates into Useful Concrete Components Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Simulations of Electrical Conductivity of Composite Materials and Optimization of Artificial Neural Networks

Author : S. Kekez

Published in: Concrete Durability and Service Life Planning

Publisher: Springer International Publishing

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Abstract

Structural health monitoring (SHM) has become an established field of engineering in the past few decades. SHM aims to give a diagnosis on the condition of materials, elements, and of the whole structure at every moment of the structure’s lifespan.

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previous chapter Self-healing Stimulated by Crystalline Admixtures in Chloride Rich Environments: Is It Possible to Extend the Structure Service Life?
next chapter A Rapid Method to Test the Effectiveness of Corrosion Inhibitors in Reinforced Concrete
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Han, B., Yu, X., Ou, J.: Self-Sensing Concrete in Smart Structures. Butterworth-Heineman, Oxford (2014)
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Matos, M.A.S., Pinho, S.T., Tagarielli, V.L.: Application of machine learning to predict the multiaxial strain-sensing response of CNT-polymer composites. Carbon 146, 265–275 (2019)CrossRef
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Matos, M.A.S., Pinho, S.T., Tagarielli, V.L.: Predictions of the electrical conductivity of composites of polymers and carbon nanotubes by an artificial neural network. Scripta Mater. 166, 117–121 (2019)CrossRef
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Konsta-Gdoutos, M.S., Batis, G., Danoglidis, P.A., Zacharopoulou, A.K., Zacharopoulou, E.K., Falara, M.G., Shah, S.P.: Effect of CNT and CNF loading and count on the corrosion resistance, conductivity and mechanical properties of nanomodified OPC mortars. Constr. Build. Mater. 147, 48–57 (2017)CrossRef
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Garcia-Macias, E., Castro-Triguero, R., Saez, A., Ubertini, F.: 3D mixed micromechanics-FEM modeling of piezoresistive carbon nanotube smart concrete. Comput. Methods Appl. Mech. Eng. 340, 396–423 (2018)MathSciNetCrossRef
Metadata
Title
Simulations of Electrical Conductivity of Composite Materials and Optimization of Artificial Neural Networks
Author
S. Kekez
Copyright Year
2020
Book
Concrete Durability and Service Life Planning

Print ISBN: 978-3-030-43331-4

Electronic ISBN: 978-3-030-43332-1

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-43332-1_29