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Parameter Optimization Of Steel Fiber Reinforced High Strength Concrete By Statistical Design And Analysis Of Experiments

This thesis illustrates parameter optimization of compressive strength, flexural
strength and impact resistance of steel fiber reinforced high strength concrete
(SFRHSC) by statistical design and analysis of experiments. Among several
factors affecting the compressive strength, flexural strength and impact
resistance of SFRHSC, five parameters that maximize all of the responses have
been chosen as the most important ones as age of testing, binder type, binder
amount, curing type and steel fiber volume fraction. Taguchi and regression
analysis techniques have been used to evaluate L27(313) Taguchi&amp / #65533 / s orthogonal
array and 3421 full factorial experimental design results. Signal to noise ratio
transformation and ANOVA have been applied to the results of experiments in
Taguchi analysis. Response surface methodology has been employed to
optimize the best regression model selected for all the three responses. In this
study Charpy Impact Test, which is a different kind of impact test, have been
applied to SFRHSC for the first time. The mean of compressive strength,
flexural strength and impact resistance have been observed as around 125 MPa, 14.5 MPa and 9.5 kgf.m respectively which are very close to the desired values.
Moreover, this study is unique in the sense that the derived models enable the
identification of underlying primary factors and their interactions that influence
the modeled responses of steel fiber reinforced high strength concrete.

Identiferoai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/3/1051960/index.pdf
Date01 January 2004
CreatorsAyan, Elif
ContributorsSaatcioglu, Omer
PublisherMETU
Source SetsMiddle East Technical Univ.
LanguageEnglish
Detected LanguageEnglish
TypeM.S. Thesis
Formattext/pdf
RightsTo liberate the content for public access

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