Compressive strength modelling of concrete mixed with fly ash and waste ceramics using K-nearest neighbor algorithm

Excessive materials are being manufactured, and along with it are the waste products that are being produced due to the rapid growth of industries. In the Philippines, wastes such as fly ash and damaged ceramics are being considered as a construction material since there are recent researches that p...

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Main Authors: Elevado, Kenneth Jae T., Galupino, Joenel G., Gallardo, Ronaldo S.
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Published: Animo Repository 2018
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2571
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-35702021-10-18T05:28:44Z Compressive strength modelling of concrete mixed with fly ash and waste ceramics using K-nearest neighbor algorithm Elevado, Kenneth Jae T. Galupino, Joenel G. Gallardo, Ronaldo S. Excessive materials are being manufactured, and along with it are the waste products that are being produced due to the rapid growth of industries. In the Philippines, wastes such as fly ash and damaged ceramics are being considered as a construction material since there are recent researches that proved their properties are comparable to cement and aggregates. In this study, compressive strength tests (ASTM C 39) were conducted to obtain the compressive strength of the concrete mixed with varying amounts fly ash and waste ceramics. Moreover, specimens were also subjected to varying days of curing to assess their strength development. Due to the availability of a wide range of data, machine learning model, such as the k-nearest neighbor, were also considered; it can predict an unknown target parameter without consuming tremendous time and resources. Thus, this study aimed to provide a k-nearest neighbor model that will serve as a reference to predict the compressive strength of concrete while incorporating waste ceramic tiles as a replacement to coarse aggregates while varying the amount of fly ash as a partial substitute to cement. The k-nearest neighbor model used was validated to ensure the predictions are acceptable. © Int. J. of GEOMATE. 2018-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/2571 Faculty Research Work Animo Repository Aggregates (Building materials)--Testing Ceramics Fly ash Waste products as building materials Concrete Nearest neighbor analysis (Statistics) Civil Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Aggregates (Building materials)--Testing
Ceramics
Fly ash
Waste products as building materials
Concrete
Nearest neighbor analysis (Statistics)
Civil Engineering
spellingShingle Aggregates (Building materials)--Testing
Ceramics
Fly ash
Waste products as building materials
Concrete
Nearest neighbor analysis (Statistics)
Civil Engineering
Elevado, Kenneth Jae T.
Galupino, Joenel G.
Gallardo, Ronaldo S.
Compressive strength modelling of concrete mixed with fly ash and waste ceramics using K-nearest neighbor algorithm
description Excessive materials are being manufactured, and along with it are the waste products that are being produced due to the rapid growth of industries. In the Philippines, wastes such as fly ash and damaged ceramics are being considered as a construction material since there are recent researches that proved their properties are comparable to cement and aggregates. In this study, compressive strength tests (ASTM C 39) were conducted to obtain the compressive strength of the concrete mixed with varying amounts fly ash and waste ceramics. Moreover, specimens were also subjected to varying days of curing to assess their strength development. Due to the availability of a wide range of data, machine learning model, such as the k-nearest neighbor, were also considered; it can predict an unknown target parameter without consuming tremendous time and resources. Thus, this study aimed to provide a k-nearest neighbor model that will serve as a reference to predict the compressive strength of concrete while incorporating waste ceramic tiles as a replacement to coarse aggregates while varying the amount of fly ash as a partial substitute to cement. The k-nearest neighbor model used was validated to ensure the predictions are acceptable. © Int. J. of GEOMATE.
format text
author Elevado, Kenneth Jae T.
Galupino, Joenel G.
Gallardo, Ronaldo S.
author_facet Elevado, Kenneth Jae T.
Galupino, Joenel G.
Gallardo, Ronaldo S.
author_sort Elevado, Kenneth Jae T.
title Compressive strength modelling of concrete mixed with fly ash and waste ceramics using K-nearest neighbor algorithm
title_short Compressive strength modelling of concrete mixed with fly ash and waste ceramics using K-nearest neighbor algorithm
title_full Compressive strength modelling of concrete mixed with fly ash and waste ceramics using K-nearest neighbor algorithm
title_fullStr Compressive strength modelling of concrete mixed with fly ash and waste ceramics using K-nearest neighbor algorithm
title_full_unstemmed Compressive strength modelling of concrete mixed with fly ash and waste ceramics using K-nearest neighbor algorithm
title_sort compressive strength modelling of concrete mixed with fly ash and waste ceramics using k-nearest neighbor algorithm
publisher Animo Repository
publishDate 2018
url https://animorepository.dlsu.edu.ph/faculty_research/2571
_version_ 1715215524797874176