RSM-based modeling and optimization of self-consolidating mortar to predict acceptable ranges of rheological properties-Reference-Cited by-同舟云学术

RSM-based modeling and optimization of self-consolidating mortar to predict acceptable ranges of rheological properties

Published:2018-11 Issue: Volume:189 Page:1200-1213
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Aziminezhad Mehran^ORCID,Mahdikhani Mahdi,Memarpour Mohammad Mahdi

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference43 articles.

1. Rheology of geopolymer by DOE approach;Romagnoli;Constr. Build. Mater.,2012

2. Design of experiments with MINITAB;Mathews;ASQ Quality Press,2005

3. RSM-based model to predict the performance of self-compacting UHPC reinforced with hybrid steel micro-fibers;Ghafari;Constr. Build. Mater.,2014

4. Wiley: Response Surface Methodology: Process and Product Optimization Using Designed Experiments, 3rd Edition – Raymond H. Myers, Douglas C. Montgomery, Christine M. Anderson-Cook, 2009. http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470174463.html.

5. Response surface methodology (RSM) as a tool for optimization in analytical chemistry;Bezerra;Talanta,2008

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