Prediction the effects of ZnO2 nanoparticles on splitting tensile strength and water absorption of high strength concrete

Prediction the effects of ZnO2 nanoparticles on splitting tensile strength and water absorption of high strength concrete

In the present paper, two models based on artificial neural networks (ANN) and gene expression programming (GEP) for predicting splitting tensile strength and water absorption of concretes containing ZnO2 nanoparticles at different ages of curing have been developed. To build these models, training...

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Bibliographic Details
Main Authors: Ali Nazari, Tohid Azimzadegan
Format: Article
Language:English
Published: Associação Brasileira de Metalurgia e Materiais (ABM); Associação Brasileira de Cerâmica (ABC); Associação Brasileira de Polímeros (ABPol) 2012-06-01
Series:Materials Research
Subjects:
neural networks
genetic programming
nanoparticles
concrete
tensile test
water permeability
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392012000300016

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392012000300016

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