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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Format: | Article |
Language: | English |
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Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
2023-02-01
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Series: | Journal of Engineering Studies and Research |
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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 |
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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.
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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 |