Author
Listed:
- Yun Luo
(School of Safety Science and Engineering, Chongqing University of Science and Technology, Chongqing 401331, China)
- Luming Yang
(School of Safety Science and Engineering, Chongqing University of Science and Technology, Chongqing 401331, China)
- Shangwei Wu
(School of Safety Science and Engineering, Chongqing University of Science and Technology, Chongqing 401331, China)
- Xiaofei Jing
(School of Safety Science and Engineering, Chongqing University of Science and Technology, Chongqing 401331, China)
- Hongxing Wang
(School of Safety Science and Engineering, Chongqing University of Science and Technology, Chongqing 401331, China)
Abstract
In high-concentration tailings backfilling, the stability of the backfill largely depends on the slurry’s self-weighted siltation behavior. Red mud—the strongly alkaline by-product of the Bayer process and a mixture of coarse and fine particles—requires a clear understanding of its self-weight settling–consolidation mechanisms to ensure safe and efficient backfilling. In this study, red mud slurry was selected as the research object, and a multi-scale approach combining sedimentation column tests and microstructural image analysis was employed to reveal the intrinsic relationships among the sediment layer height, sedimentation rate, and pore structure changes during self-weighted siltation. The results show that the flocculated structure of red mud slurry exhibits distinct stratification during self-weighted siltation, including a clarified layer, a structural transition layer, and a dense sediment layer. During the siltation process, the sediment layer height, sedimentation rate, and floc structure of red mud evolve nonlinearly. The addition of flocculants significantly enhances the formation rate of flocculated structures but increases the porosity of the sediment body. At the macroscopic level, this results in a shortened self-weighted siltation time and increased final sediment layer height. To describe the regulatory effect of flocculants on red mud floc structure, a macro–micro predictive model for the sediment layer height was established by introducing a structural enhancement coefficient, considering the effect of flocculants. The model achieved a prediction error within 16%. These findings provide theoretical support for structural control technologies and process optimization of high-concentration fine tailings backfilling, thereby contributing to the sustainable utilization of red mud and the development of environmentally responsible backfilling practices.
Suggested Citation
Yun Luo & Luming Yang & Shangwei Wu & Xiaofei Jing & Hongxing Wang, 2025.
"Spatiotemporal Evolution of Red Mud Flocculated Structure During Self-Weighted Siltation and Macro–Micro Correlation Modeling,"
Sustainability, MDPI, vol. 17(18), pages 1-22, September.
Handle:
RePEc:gam:jsusta:v:17:y:2025:i:18:p:8156-:d:1746530
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:18:p:8156-:d:1746530. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.