Computational Prediction and Experimental Values of Mechanical Properties of Carbon Nanotube Reinforced Cement

The main objective of this study is to create a rigorous computer model of carbon nanotube composites to predict their mechanical properties before they are manufactured and to reduce the number of physical tests. A detailed comparison between experimental and computational results of a cement-based...

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Autores principales:	Carlos Talayero, Omar Aït-Salem, Pedro Gallego, Alicia Páez-Pavón, Rosario G. Merodio-Perea, Isabel Lado-Touriño
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	computer model carbon nanotubes mechanical properties Young’s modulus microstructure reinforced cement Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/c4436862fca643418a3bbd9da18734ac
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spelling	oai:doaj.org-article:c4436862fca643418a3bbd9da18734ac2021-11-25T18:31:33ZComputational Prediction and Experimental Values of Mechanical Properties of Carbon Nanotube Reinforced Cement10.3390/nano111129972079-4991https://doaj.org/article/c4436862fca643418a3bbd9da18734ac2021-11-01T00:00:00Zhttps://www.mdpi.com/2079-4991/11/11/2997https://doaj.org/toc/2079-4991The main objective of this study is to create a rigorous computer model of carbon nanotube composites to predict their mechanical properties before they are manufactured and to reduce the number of physical tests. A detailed comparison between experimental and computational results of a cement-based composite is made to match data and find the most significant parameters. It is also shown how the properties of the nanotubes (Young’s modulus, aspect ratio, quantity, directionality, clustering) and the cement (Young’s modulus) affect the composite properties. This paper tries to focus on the problem of modeling carbon nanotube composites computationally, and further study proposals are given.Carlos TalayeroOmar Aït-SalemPedro GallegoAlicia Páez-PavónRosario G. Merodio-PereaIsabel Lado-TouriñoMDPI AGarticlecomputer modelcarbon nanotubesmechanical propertiesYoung’s modulusmicrostructurereinforced cementChemistryQD1-999ENNanomaterials, Vol 11, Iss 2997, p 2997 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	computer model carbon nanotubes mechanical properties Young’s modulus microstructure reinforced cement Chemistry QD1-999
spellingShingle	computer model carbon nanotubes mechanical properties Young’s modulus microstructure reinforced cement Chemistry QD1-999 Carlos Talayero Omar Aït-Salem Pedro Gallego Alicia Páez-Pavón Rosario G. Merodio-Perea Isabel Lado-Touriño Computational Prediction and Experimental Values of Mechanical Properties of Carbon Nanotube Reinforced Cement
description	The main objective of this study is to create a rigorous computer model of carbon nanotube composites to predict their mechanical properties before they are manufactured and to reduce the number of physical tests. A detailed comparison between experimental and computational results of a cement-based composite is made to match data and find the most significant parameters. It is also shown how the properties of the nanotubes (Young’s modulus, aspect ratio, quantity, directionality, clustering) and the cement (Young’s modulus) affect the composite properties. This paper tries to focus on the problem of modeling carbon nanotube composites computationally, and further study proposals are given.
format	article
author	Carlos Talayero Omar Aït-Salem Pedro Gallego Alicia Páez-Pavón Rosario G. Merodio-Perea Isabel Lado-Touriño
author_facet	Carlos Talayero Omar Aït-Salem Pedro Gallego Alicia Páez-Pavón Rosario G. Merodio-Perea Isabel Lado-Touriño
author_sort	Carlos Talayero
title	Computational Prediction and Experimental Values of Mechanical Properties of Carbon Nanotube Reinforced Cement
title_short	Computational Prediction and Experimental Values of Mechanical Properties of Carbon Nanotube Reinforced Cement
title_full	Computational Prediction and Experimental Values of Mechanical Properties of Carbon Nanotube Reinforced Cement
title_fullStr	Computational Prediction and Experimental Values of Mechanical Properties of Carbon Nanotube Reinforced Cement
title_full_unstemmed	Computational Prediction and Experimental Values of Mechanical Properties of Carbon Nanotube Reinforced Cement
title_sort	computational prediction and experimental values of mechanical properties of carbon nanotube reinforced cement
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c4436862fca643418a3bbd9da18734ac
work_keys_str_mv	AT carlostalayero computationalpredictionandexperimentalvaluesofmechanicalpropertiesofcarbonnanotubereinforcedcement AT omaraitsalem computationalpredictionandexperimentalvaluesofmechanicalpropertiesofcarbonnanotubereinforcedcement AT pedrogallego computationalpredictionandexperimentalvaluesofmechanicalpropertiesofcarbonnanotubereinforcedcement AT aliciapaezpavon computationalpredictionandexperimentalvaluesofmechanicalpropertiesofcarbonnanotubereinforcedcement AT rosariogmerodioperea computationalpredictionandexperimentalvaluesofmechanicalpropertiesofcarbonnanotubereinforcedcement AT isabelladotourino computationalpredictionandexperimentalvaluesofmechanicalpropertiesofcarbonnanotubereinforcedcement
_version_	1718411042145435648

Computational Prediction and Experimental Values of Mechanical Properties of Carbon Nanotube Reinforced Cement

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