MODELING THE TENSILE STRENGTH OF CONCRETE WITH POLYETHYLENE TEREPHTHALATE (PET) WASTE AS REPLACEMENT FOR FINE AGGREGATE USING ARTIFICIAL NEURAL NETWORK

Tensile strength of concrete made with polyethylene terephthalate (PET) waste as replacement for fine aggregate was modelled using artificial neural network. A multilayer feedforward neural network (MLFFNN) and radial basis function (RBF) methodology were compared to see which was more accurate. Th...

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Main Authors: WASIU AJAGBE, MURTADHA TIJANI, OLUWAFEMI ODUKOYA
Format: Article
Language:English
Published: Alma Mater Publishing House "Vasile Alecsandri" University of Bacau 2023-02-01
Series:Journal of Engineering Studies and Research
Subjects:
Online Access:https://jesr.ub.ro/index.php/1/article/view/347
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author WASIU AJAGBE
MURTADHA TIJANI
OLUWAFEMI ODUKOYA
author_facet WASIU AJAGBE
MURTADHA TIJANI
OLUWAFEMI ODUKOYA
author_sort WASIU AJAGBE
collection DOAJ
description Tensile strength of concrete made with polyethylene terephthalate (PET) waste as replacement for fine aggregate was modelled using artificial neural network. A multilayer feedforward neural network (MLFFNN) and radial basis function (RBF) methodology were compared to see which was more accurate. The MLFFNN modelling results showed a predictive accuracy of 95.364% and a root mean square error value of 4.4409 × 10-16 while RBF neural network modeling results showed a higher predictive accuracy (99.509%) with a lower root mean square error value (1.6653 × 10-16). It is concluded that ANN models accurately predicted the tensile strength of PET concrete.
format Article
id doaj-art-324cbec562794c1bb940fd0be26e2303
institution Kabale University
issn 2068-7559
2344-4932
language English
publishDate 2023-02-01
publisher Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
record_format Article
series Journal of Engineering Studies and Research
spelling doaj-art-324cbec562794c1bb940fd0be26e23032025-02-09T11:36:59ZengAlma Mater Publishing House "Vasile Alecsandri" University of BacauJournal of Engineering Studies and Research2068-75592344-49322023-02-01284MODELING THE TENSILE STRENGTH OF CONCRETE WITH POLYETHYLENE TEREPHTHALATE (PET) WASTE AS REPLACEMENT FOR FINE AGGREGATE USING ARTIFICIAL NEURAL NETWORKWASIU AJAGBEMURTADHA TIJANIOLUWAFEMI ODUKOYA Tensile strength of concrete made with polyethylene terephthalate (PET) waste as replacement for fine aggregate was modelled using artificial neural network. A multilayer feedforward neural network (MLFFNN) and radial basis function (RBF) methodology were compared to see which was more accurate. The MLFFNN modelling results showed a predictive accuracy of 95.364% and a root mean square error value of 4.4409 × 10-16 while RBF neural network modeling results showed a higher predictive accuracy (99.509%) with a lower root mean square error value (1.6653 × 10-16). It is concluded that ANN models accurately predicted the tensile strength of PET concrete. https://jesr.ub.ro/index.php/1/article/view/347artificial neural network, concrete, fine aggregate, polyethylene terephthalate, tensile strength
spellingShingle WASIU AJAGBE
MURTADHA TIJANI
OLUWAFEMI ODUKOYA
MODELING THE TENSILE STRENGTH OF CONCRETE WITH POLYETHYLENE TEREPHTHALATE (PET) WASTE AS REPLACEMENT FOR FINE AGGREGATE USING ARTIFICIAL NEURAL NETWORK
Journal of Engineering Studies and Research
artificial neural network, concrete, fine aggregate, polyethylene terephthalate, tensile strength
title MODELING THE TENSILE STRENGTH OF CONCRETE WITH POLYETHYLENE TEREPHTHALATE (PET) WASTE AS REPLACEMENT FOR FINE AGGREGATE USING ARTIFICIAL NEURAL NETWORK
title_full MODELING THE TENSILE STRENGTH OF CONCRETE WITH POLYETHYLENE TEREPHTHALATE (PET) WASTE AS REPLACEMENT FOR FINE AGGREGATE USING ARTIFICIAL NEURAL NETWORK
title_fullStr MODELING THE TENSILE STRENGTH OF CONCRETE WITH POLYETHYLENE TEREPHTHALATE (PET) WASTE AS REPLACEMENT FOR FINE AGGREGATE USING ARTIFICIAL NEURAL NETWORK
title_full_unstemmed MODELING THE TENSILE STRENGTH OF CONCRETE WITH POLYETHYLENE TEREPHTHALATE (PET) WASTE AS REPLACEMENT FOR FINE AGGREGATE USING ARTIFICIAL NEURAL NETWORK
title_short MODELING THE TENSILE STRENGTH OF CONCRETE WITH POLYETHYLENE TEREPHTHALATE (PET) WASTE AS REPLACEMENT FOR FINE AGGREGATE USING ARTIFICIAL NEURAL NETWORK
title_sort modeling the tensile strength of concrete with polyethylene terephthalate pet waste as replacement for fine aggregate using artificial neural network
topic artificial neural network, concrete, fine aggregate, polyethylene terephthalate, tensile strength
url https://jesr.ub.ro/index.php/1/article/view/347
work_keys_str_mv AT wasiuajagbe modelingthetensilestrengthofconcretewithpolyethyleneterephthalatepetwasteasreplacementforfineaggregateusingartificialneuralnetwork
AT murtadhatijani modelingthetensilestrengthofconcretewithpolyethyleneterephthalatepetwasteasreplacementforfineaggregateusingartificialneuralnetwork
AT oluwafemiodukoya modelingthetensilestrengthofconcretewithpolyethyleneterephthalatepetwasteasreplacementforfineaggregateusingartificialneuralnetwork