Determination of the Compressive Strength of Concrete Using Artificial Neural Network

Quiñones Huatangari, Lenin

Determination of the Compressive Strength of Concrete Using Artificial Neural Network

dc.contributor.author	Quiñones Huatangari, Lenin	es_ES
dc.date.accessioned	2024-04-01T00:26:50Z
dc.date.available	2024-04-01T00:26:50Z
dc.date.issued	2024-03-31
dc.description.abstract	The objective of the work is to estimate the compressive strength of concrete by means of the application of Artificial Neural Networks (ANNs). A database is created with design variables of mixtures of 175, 210, and 280 kgf/cm², which are collected from certified laboratories of soil mechanics and concrete of the city of Jaen. In addition, Weka software is used for the selection of the variables and Matlab software is used for the learning, training, and validation stages of ANNs. Five ANNs are proposed to estimate the compressive strength of concrete at 7th, 14th, and 28th day. The results show that the networks obtain the average error of 4.69% and are composed of an input layer with eleven neurons, two hidden layers with nine neurons each, and the compressive strength of concrete as the output. This method is effective and valid for estimating the compressive strength of concrete as a non-destructive alternative for quality control in the construction industry.	es_ES
dc.format	application/pdf	es_ES
dc.identifier.doi	https://doi.org/10.46604/ijeti.2021.7479	es_ES
dc.identifier.uri	http://repositorio.unj.edu.pe/handle/UNJ/643
dc.language.iso	eng	eng
dc.publisher	Universidad Nacional de Jaén	es_ES
dc.publisher.country	TW	es_ES
dc.relation	Determination of the Compressive Strength of Concrete Using Artificial Neural Network	es_ES
dc.relation.ispartof	International Journal of Engineering and Technology Innovation	es_ES
dc.relation.ispartof	International Journal of Engineering and Technology Innovation	es_ES
dc.relation.uri	https://doi.org/10.46604/ijeti.2021.7479	es_ES
dc.rights	info:eu-repo/semantics/openAccess	es_ES
dc.rights.uri	https://creativecommons.org/licenses/by-nc/4.0/	es_ES
dc.source	Universidad Nacional de Jaén\|\|Repositorio Institucional – UNJ	es_ES
dc.subject	Concrete, ANN, artificial neural network, compressive strength	es_ES
dc.subject.ocde	https://purl.org/pe-repo/ocde/ford#2.01.00	es_ES
dc.title	Determination of the Compressive Strength of Concrete Using Artificial Neural Network	es_ES
dc.type	info:eu-repo/semantics/article	es_ES
dc.type.version	info:eu-repo/semantics/publishedVersion	es_ES
renati.author.dni	42821048