Optimisation of steel fibre reinforced concretes by means of statistical response surface method

By F. Bayramov, C. Tasdemir, M. Taşdemi̇r. 2004

195 citations recorded by the source corpus.

Subfields: Building and Construction, Civil and Structural Engineering, Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/bde0825653f9cdd026962f9573e35343a7d78eac

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Halil Ibrahim Fedakar
2. H. Costa
3. M. Pająk
4. Hamza Güllü
5. Tomasz Ponikiewski
6. Eduardo Júlio
7. E. Ghafari

In Civil and Structural Engineering

1. H. Costa
2. E. Ghafari
3. Eduardo Júlio
4. Halil Ibrahim Fedakar
5. M. Pająk
6. Hamza Güllü
7. Tomasz Ponikiewski
8. M. Saleem

In Materials Chemistry

1. H. Costa
2. Eduardo Júlio
3. E. Ghafari
4. Hamza Güllü
5. Moncef L. Nehdi
6. M. Saleem
7. S. Abbas

Citations in the corpus

• Response surface methodology for optimization of stabilizer dosage rates of marginal sand stabilized with Sludge Ash and fiber based on UCS performances (2016, background): “Previous studies show that RSM becomes relatively beneficial for the determination of optimum mix proportions due to its capability that presents reasonably alternative solutions for the decision support of engineering problems (Bayramov et al., 2004; Olgun, 2013b; ahmaran et al., 2013; Güneyisi et ”
• RSM-based model to predict the performance of self-compacting UHPC reinforced with hybrid steel micro-fibers (2014, methodology): “[22] developed an analytical model based on RSM to optimize the fracture parameters of steel fiber reinforced concretes to achieve a more ductile response.”
• Flexural behavior of self-compacting concrete reinforced with different types of steel fibers (2013, background): “The comparison of the test results with the test results obtained on notched beams presented by other researchers [29,30,32,33] is presented in the Fig.”