Naslov
Optimization of arsenic sludge immobilization process in cement – natural zeolite – lime blends using artificial neural networks and multi objective criteria functions

Autori
Bolanča, Tomislav ; Šipušić, Juraj ; Ukić, Šime ; Šiljeg, Mario ; Ujević Bošnjak, Magdalena

Izvornik
Fresenius environmental bulletin (1018-4619) 21 (2012), 1; 76-83

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
solidification/stabilization ; cement ; natural zeolite ; arsenic sludge ; artificial neural network

Sažetak
This work focuses on optimization of arsenic sludge immobilization process in cement – natural zeolite – lime blends using artificial neural networks and multi-objective criteria functions. Developed artificial neural network model describes relations between solidified/stabilized cement formulation and its mechanical (compressive strength) and ecological properties (arsenic and iron release). It is proven that developed artificial neural network solidified/stabilized model has satisfactory performance characteristics (R2> 0.9031 without presence of systematic error ; based on external validation experimental data set). Four multi-objective optimization criteria functions, different in terms of mathematical formulation and ecological interpretation, were developed. The developed criteria functions were used in combination with artificial neural network solidified/stabilized model, providing optimal cement formulation. Finally, this study describes efficient and cost effective alternative in ecological material formulation process.

Izvorni jezik
Engleski

Znanstvena područja
Kemija, Kemijsko inženjerstvo, Interdisciplinarne tehničke znanosti

POVEZANOST RADA