Prediction of Scaling Resistance of Concrete Modified with High-calcium Fly Ash Using Classification Methods | Zendy

Michał Marks | Zendy; Maria Marks | Zendy

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Prediction of Scaling Resistance of Concrete Modified with High-calcium Fly Ash Using Classification Methods

Author(s) -

Michał Marks,

Maria Marks

Publication year - 2015

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2015.05.259

Subject(s) - fly ash , computer science , scaling , on the fly , calcium , resistance (ecology) , chemical engineering , composite material , materials science , metallurgy , operating system , mathematics , geometry , ecology , engineering , biology

The goal of the study was applying machine learning methods to create rules for prediction of the surface scaling resistance of concrete modified with high-calcium fly ash. To determine the scaling durability the Boras method, according to European Standard procedure (PKN- CEN/TS 12390-9:2007), was used. The results of numeral experiments were utilized as a training set to generate rules indicating the relation between material composition and the scaling resistance. The classifier generated by BFT algorithm from the WEKA workbench can be used as a tool for adequate classification of plain concretes and concretes modified with high-calcium fly ash as materials resistant or not resistant to the surface scaling

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