Cargando…

Multi-Response Robust Parameter Optimization of Cemented Backfill Proportion with Ultra-Fine Tailings

Backfill of mined-out areas in Carlin-type gold mines always encounters the challenges of ultra-fine tailings, low backfill strength and difficult slurry transportation caused by fine tailings. To understand the influence of slurry mass concentration, waste rock content, and cement-sand ratio on the...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Mingqing, Cai, Sijie, Chen, Lin, Tang, Shaohui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572495/
https://www.ncbi.nlm.nih.gov/pubmed/36234243
http://dx.doi.org/10.3390/ma15196902
_version_ 1784810629237833728
author Huang, Mingqing
Cai, Sijie
Chen, Lin
Tang, Shaohui
author_facet Huang, Mingqing
Cai, Sijie
Chen, Lin
Tang, Shaohui
author_sort Huang, Mingqing
collection PubMed
description Backfill of mined-out areas in Carlin-type gold mines always encounters the challenges of ultra-fine tailings, low backfill strength and difficult slurry transportation caused by fine tailings. To understand the influence of slurry mass concentration, waste rock content, and cement-sand ratio on the cemented backfill strength and fluidity, influential factors were determined by range analysis of orthogonal proportion experiments. Response surface methodology (RSM) was used to analyze the influence of each factor on response, and the backfill strength and slump were optimized using a robust optimization desirability function method. The results show that the cement-sand ratio has the highest effect on the backfill strength, and the slurry slump is dominated by the slurry mass concentration. The interaction between waste rock content and the cement-sand ratio significantly impacts the slump, while the interaction between the slurry mass concentration and the cement-sand ratio has a positive correlation with the backfill strength. The ultra-fine tailings cemented backfill proportion was optimized by using multi-response robust parameters as 68.36% slurry mass concentration, 36.72% waste rock content and 1:3 cement-sand ratio. The overall robust optimal desirability was 0.8165, and the validity of multi-response robust parameter optimization was verified by laboratory tests.
format Online
Article
Text
id pubmed-9572495
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-95724952022-10-17 Multi-Response Robust Parameter Optimization of Cemented Backfill Proportion with Ultra-Fine Tailings Huang, Mingqing Cai, Sijie Chen, Lin Tang, Shaohui Materials (Basel) Article Backfill of mined-out areas in Carlin-type gold mines always encounters the challenges of ultra-fine tailings, low backfill strength and difficult slurry transportation caused by fine tailings. To understand the influence of slurry mass concentration, waste rock content, and cement-sand ratio on the cemented backfill strength and fluidity, influential factors were determined by range analysis of orthogonal proportion experiments. Response surface methodology (RSM) was used to analyze the influence of each factor on response, and the backfill strength and slump were optimized using a robust optimization desirability function method. The results show that the cement-sand ratio has the highest effect on the backfill strength, and the slurry slump is dominated by the slurry mass concentration. The interaction between waste rock content and the cement-sand ratio significantly impacts the slump, while the interaction between the slurry mass concentration and the cement-sand ratio has a positive correlation with the backfill strength. The ultra-fine tailings cemented backfill proportion was optimized by using multi-response robust parameters as 68.36% slurry mass concentration, 36.72% waste rock content and 1:3 cement-sand ratio. The overall robust optimal desirability was 0.8165, and the validity of multi-response robust parameter optimization was verified by laboratory tests. MDPI 2022-10-05 /pmc/articles/PMC9572495/ /pubmed/36234243 http://dx.doi.org/10.3390/ma15196902 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Huang, Mingqing
Cai, Sijie
Chen, Lin
Tang, Shaohui
Multi-Response Robust Parameter Optimization of Cemented Backfill Proportion with Ultra-Fine Tailings
title Multi-Response Robust Parameter Optimization of Cemented Backfill Proportion with Ultra-Fine Tailings
title_full Multi-Response Robust Parameter Optimization of Cemented Backfill Proportion with Ultra-Fine Tailings
title_fullStr Multi-Response Robust Parameter Optimization of Cemented Backfill Proportion with Ultra-Fine Tailings
title_full_unstemmed Multi-Response Robust Parameter Optimization of Cemented Backfill Proportion with Ultra-Fine Tailings
title_short Multi-Response Robust Parameter Optimization of Cemented Backfill Proportion with Ultra-Fine Tailings
title_sort multi-response robust parameter optimization of cemented backfill proportion with ultra-fine tailings
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572495/
https://www.ncbi.nlm.nih.gov/pubmed/36234243
http://dx.doi.org/10.3390/ma15196902
work_keys_str_mv AT huangmingqing multiresponserobustparameteroptimizationofcementedbackfillproportionwithultrafinetailings
AT caisijie multiresponserobustparameteroptimizationofcementedbackfillproportionwithultrafinetailings
AT chenlin multiresponserobustparameteroptimizationofcementedbackfillproportionwithultrafinetailings
AT tangshaohui multiresponserobustparameteroptimizationofcementedbackfillproportionwithultrafinetailings