English
Język Polski
Szacowanie współczynnika filtracji jako przykład zastosowania algorytmu Random Forest w budownictwie lądowym
DOI:
https://doi.org/10.24425/ace.2024.149854Abstrakt
Nowy światowy rekord produkcji stali surowej odnotowano w 2021 r., wzrost wynosił 3,8% w stosunku do roku 2020. Wpłynęło to jednocześnie na ilość wytwarzanego wraz z tą produkcją żużla. Całkowite ilości odpadów pochodzące z produkcji przemysłowej i budowlanej w całej Unii Europejskiej stanowią aż 48%. Dlatego, gospodarka odpadami powinna zapewniać odzysk jak największej ilości zasobów. Strategie Unii Europejskiej zgodne z celami gospodarki cyrkularnej koncentrują się na zapewnieniu spójności polityki w obszarach: klimatu, efektywności energetycznej, gospodarowania odpadami z budowy i rozbiórki oraz zasobooszczędności. Żużle są materiałem, który interesuje badaczy pod kątem ich zastosowania w budownictwie. Żużle z jednej strony są materiałami coraz lepiej poznanymi z drugiej upewniamy się o niejednorodności tych materiałów. Na charakterystykę właściwości fizycznych żużli wpływa wiele czynników m.in. rozdaj pieca w jakim powstają. Skłania to do poszukiwania narzędzi pomocnych w wyznaczaniu parametrów żużli, jak i materiałów antropogenicznych. Celem badań było zweryfikowanie hipotezy, że możliwe jest wyznaczanie parametru współczynnika filtracji, istotnego do zastosowań w konstrukcjach ziemnych z wykorzystaniem algorytmu uczenia maszynowego – Random Forest. W pracy przeanalizowano dwa rodzaje materiału: żużel wielkopiecowy oraz paleniskowy. Wyniki analizy pozwoliły na otrzymanie wysokiego współczynnika determinacji (R2) – 0.84-0.92. Pozwala to sądzić, że algorytm ten może okazać się użyteczny przy wyznaczaniu parametrów filtracyjnych w żużlach.Bibliografia
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