A novel evaluation methodology for dimension stone quality
1
Wrocław University of Technology and Science, Poland
2
Abdullah Gul University, Turkey
Zaznaczeni autorzy mieli równy wkład w przygotowanie tego artykułu
Mining Science 2024;31:119-143
SŁOWA KLUCZOWE
DZIEDZINY
STRESZCZENIE
The physical and mechanical properties of natural stones are crucial factors when determining their quality, predicting their durability, and assessing their potential uses. In this study, a new method is introduced to assess the quality of dimension stone using the Fuzzy logic inference system (FIS). The FIS analysis results are converted to a dimension stone field performance coefficient (DSFPC), which indicates the quality of dimension stones. The FIS analysis results are also compared with different approaches, and it is concluded that the proposed FIS model can reliably be used to quantify the dimension stone quality. The present study, in this manner, contributes to the natural stone industry by proposing a comprehensive predictive model used to quantify the dimension stone quality based on physicomechanical rock properties.
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