Development of a graphical user interface for determining the optimal mixture parameters of normal weight concretes: A response surface methodology based quadratic programming approach

Simsek B., İÇ Y. T., ŞİMŞEK E. H., Guvenc A. B.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, cilt.136, ss.1-9, 2014 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 136
  • Basım Tarihi: 2014
  • Doi Numarası: 10.1016/j.chemolab.2014.05.001
  • Dergi Adı: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1-9
  • Anahtar Kelimeler: Graphical user interface, Normal weight concrete, Response surface methodology, Quadratic programming, ARTIFICIAL NEURAL-NETWORK, HIGH-STRENGTH CONCRETE, COMPRESSIVE STRENGTH, MATLAB TOOLBOX, OPTIMIZATION, PREDICTION, PROPORTIONS
  • Ankara Üniversitesi Adresli: Evet

Özet

The optimization of a normal weight concrete mixture proportions for determination of the desired concrete quality is an important issue for concrete manufacturers and users. In this study, the constrained quadratic programming methodology is based on meta-models developed by using response surface methodology for determining optimal normal weight concrete mixture proportions. We developed a graphical user interface to take the burden of numerous experiments and complex mathematical calculations away from laboratory experts and manufacturers. However, we developed a graphical user interface based on MATLAB (R) toolbox which allows performing optimization of normal weight concrete mixture proportions interactively. The GUI was tested through real case studies and satisfactorily results were obtained. The results showed that developed graphical user interface was functional, effective and flexible in solving the optimization problems of normal weight concrete mixture proportions. (C) 2014 Elsevier B.V. All rights reserved.