Assessment and prediction of cement paste flow behavior; Marsh-funnel flow time and mini-slump values

MARDANI AGHABAGLOU A., ÖZTÜRK H. T., Kankal M., RAMYAR K.

CONSTRUCTION AND BUILDING MATERIALS, cilt.301, 2021 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 301
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1016/j.conbuildmat.2021.124072
  • Dergi Adı: CONSTRUCTION AND BUILDING MATERIALS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, CAB Abstracts, Communication Abstracts, INSPEC, Metadex, Veterinary Science Database, Civil Engineering Abstracts
  • Anahtar Kelimeler: Cement paste, Flowability, Neural Network, Teaching-Learning Based Artificial Bee, Colony (TLABC) Algorithm, SELF-COMPACTING CONCRETE, ADAPTIVE REGRESSION SPLINES, NEURAL-NETWORK, RHEOLOGICAL BEHAVIOR, SUPERPLASTICIZER, OPTIMIZATION, SIMULATION, PARAMETERS, ADMIXTURES, FINENESS
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

In this study, the parameters affecting Marsh-funnel flow time and mini-slump of the paste mixtures were determined through experimental and modelling studies. Marsh-funnel flow times were modelled through artificial intelligence and regression methods. A novel model was used to train the coefficients of artificial neural networks (ANN) with the Teaching-Learning Based Artificial Bee Colony (TLABC) Algorithm. Accuracy of this method was investigated through ANN-Back Propagation, ANN-Teaching Learning Based Optimization Algorithm, ANN-Artificial Bee Colony, Multivariate Adaptive Regression Splines and Classical Regression Analysis methods. ANN-TLABC method showed the best results among the applied models. The admixture content, cement fineness, solid material content of admixture and C(3)A content of cement were found to be the most important parameters affecting the flowability of the paste. However, C2S, equivalent alkali, C(4)AF and C3S contents of the cement were observed to have no considerable effect on the Marsh-funnel flowability of paste. (C) 2021 Elsevier Ltd. All rights reserved.