Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Parameter optimization of steel fiber reinforced high strength concrete by statistical design and analysis of experiments
Download
index.pdf
Date
2004
Author
Ayan, Elif
Metadata
Show full item record
Item Usage Stats
29
views
26
downloads
Cite This
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?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.
Subject Keywords
High strength concrete.
,
Flexure.
URI
http://etd.lib.metu.edu.tr/upload/3/1051960/index.pdf
https://hdl.handle.net/11511/13960
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Parameter optimization on compressive strength of steel fiber reinforced high strength concrete
Ayan, E.; Saatcioglu, Oe.; Turanlı, Lutfullah (Elsevier BV, 2011-06-01)
This paper illustrates parameter optimization of compressive strength of steel fiber reinforced high strength concrete (SFRHSC) by statistical design and analysis of experiments. Among several factors affecting the compressive strength, 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 analysis techniques have been used to evaluate L-27 (3(13)) Taguchi's orthogonal...
Estimation of lining thickness around circular shafts
Ozturk, H; Unal, E (2001-06-22)
In this paper, the broken zone developing, around a circular mine shafts and lining pressure is estimated by integrating the results of numerical analysis and the "rock-load height" equation derived from empirical analysis. During numerical modelling studies, the computer program FLAC(2D) was utilized. In order to estimate equivalent Mohr failure Envelope from the generalised Hoek Brown failure criterion, a new FISH function was written within FLAC(2D). Parametric studies were carried out by considering mRM...
Parameter optimization of chemically activated mortaars containing high volumes of pozzolan by statistical design and analysis of experiments
Aldemir, Başak; Saatçioğlu, Ömer; Department of Industrial Engineering (2006)
This thesis illustrates parameter optimization of early and late compressive strengths of chemically activated mortars containing high volumes of pozzolan by statistical design and analysis of experiments. Four dominant parameters in chemical activation of natural pozzolans are chosen for the research, which are natural pozzolan replacement, amount of pozzolan passing 45 æm sieve, activator dosage and activator type. Response surface methodology has been employed in statistical design and analysis of experi...
Joint shear strength prediction for reinforced concrete beam-to-column connections
Unal, Mehmet; Burak Bakır, Burcu (2012-02-10)
In this analytical study numerous prior experimental studies on reinforced concrete beam-to-column connections subjected to cyclic loading are investigated and a database of geometric properties, material strengths, configuration details and test results of subassemblies is established. Considering previous experimental research and employing statistical correlation method, parameters affecting joint shear capacity are determined. Afterwards, an equation to predict the joint shear strength is formed based o...
Lateral stiffness of steel plate shear wall systems
Topkaya, Cem (Elsevier BV, 2009-08-01)
The accuracy of the finite element method and strip method of analysis for calculating the lateral stiffness of steel plate shear wall (SPSW) systems is assessed by making comparisons with experimental findings. Comparisons revealed that while both methods provide acceptable accuracy, they also require the generation of sophisticated computer models. In this paper, two alternative methods are developed. The first one is an approximate hand method based on the deep beam theory. The classical deep beam theory...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
E. Ayan, “Parameter optimization of steel fiber reinforced high strength concrete by statistical design and analysis of experiments,” M.S. - Master of Science, Middle East Technical University, 2004.