Application of response surface methodology: Optimum mix design of concrete with slag as coarse aggregate

The optimum mix design of slag in concrete is one of the ways in identifying which mixture yields high compressive strength without compromising good behavior and significance of each variable in every compressive strength test when a certain percentage of slag is mixed in concrete. To determine the...

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Main Author: Regulacion, Rhea Espinosa
Format: text
Language:English
Published: Animo Repository 2013
Online Access:https://animorepository.dlsu.edu.ph/etd_masteral/4506
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etd_masteral-113442021-01-23T17:27:27Z Application of response surface methodology: Optimum mix design of concrete with slag as coarse aggregate Regulacion, Rhea Espinosa The optimum mix design of slag in concrete is one of the ways in identifying which mixture yields high compressive strength without compromising good behavior and significance of each variable in every compressive strength test when a certain percentage of slag is mixed in concrete. To determine the mix design that will yield the optimum compressive concrete strength, response surface methodology (RSM) is explorer in this study. RSM is an optimization tool explored in the study because it interprets experimental results even in a non-linear response surface manner and it provides sufficient experimental interpretation. It has modern optimization features that can be useful in most complicated experimental design. Its most important applications are in the field where variables have potential significance in predicted system behavior called response. The combination of factorial application and modern experimental design has outstanding contribution in optimizing experimental procedures in a reduced number of studies and the response is easy to interpret. RSM was used on the data obtained from laboratory experiments conducted by the researchers. The experiments conducted include the influencing factors: slag percentage (50%, 75%, and 100%), curing period (14 days, 21 days, and 28 days), and types of cement (1P, 1, and IP), and the interaction effects of these vi factors in compressive strength test are analyzed in this paper through response surface methodology. The responses of each specimen have showed significant increase in attained strength with respect to the control specimens. This paper presents the application of Response Surface Methodology to concrete mix design using slag as coarse aggregate. RSM will help in identifying, analyzing, and capturing the curvature effects of influencing factors in each concrete design. 2013-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_masteral/4506 Master's Theses English Animo Repository
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
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content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
description The optimum mix design of slag in concrete is one of the ways in identifying which mixture yields high compressive strength without compromising good behavior and significance of each variable in every compressive strength test when a certain percentage of slag is mixed in concrete. To determine the mix design that will yield the optimum compressive concrete strength, response surface methodology (RSM) is explorer in this study. RSM is an optimization tool explored in the study because it interprets experimental results even in a non-linear response surface manner and it provides sufficient experimental interpretation. It has modern optimization features that can be useful in most complicated experimental design. Its most important applications are in the field where variables have potential significance in predicted system behavior called response. The combination of factorial application and modern experimental design has outstanding contribution in optimizing experimental procedures in a reduced number of studies and the response is easy to interpret. RSM was used on the data obtained from laboratory experiments conducted by the researchers. The experiments conducted include the influencing factors: slag percentage (50%, 75%, and 100%), curing period (14 days, 21 days, and 28 days), and types of cement (1P, 1, and IP), and the interaction effects of these vi factors in compressive strength test are analyzed in this paper through response surface methodology. The responses of each specimen have showed significant increase in attained strength with respect to the control specimens. This paper presents the application of Response Surface Methodology to concrete mix design using slag as coarse aggregate. RSM will help in identifying, analyzing, and capturing the curvature effects of influencing factors in each concrete design.
format text
author Regulacion, Rhea Espinosa
spellingShingle Regulacion, Rhea Espinosa
Application of response surface methodology: Optimum mix design of concrete with slag as coarse aggregate
author_facet Regulacion, Rhea Espinosa
author_sort Regulacion, Rhea Espinosa
title Application of response surface methodology: Optimum mix design of concrete with slag as coarse aggregate
title_short Application of response surface methodology: Optimum mix design of concrete with slag as coarse aggregate
title_full Application of response surface methodology: Optimum mix design of concrete with slag as coarse aggregate
title_fullStr Application of response surface methodology: Optimum mix design of concrete with slag as coarse aggregate
title_full_unstemmed Application of response surface methodology: Optimum mix design of concrete with slag as coarse aggregate
title_sort application of response surface methodology: optimum mix design of concrete with slag as coarse aggregate
publisher Animo Repository
publishDate 2013
url https://animorepository.dlsu.edu.ph/etd_masteral/4506
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