Minimum Void Ratio Model Established from Tailings and Determination of Optimal Void Ratio
Minimum void ratio of tailings and its value change with fine content and are key design parameters for tailing consolidation and seepage stability. Based on the distribution of tailing grains with the sedimentary beach, we establish a minimum void ratio model for tailing grain in binary size, which...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/2021/8619121 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832549179870674944 |
|---|---|
| author | Shibo Li Hao Liang Hao Li Jianquan Ma Bin Li |
| author_facet | Shibo Li Hao Liang Hao Li Jianquan Ma Bin Li |
| author_sort | Shibo Li |
| collection | DOAJ |
| description | Minimum void ratio of tailings and its value change with fine content and are key design parameters for tailing consolidation and seepage stability. Based on the distribution of tailing grains with the sedimentary beach, we establish a minimum void ratio model for tailing grain in binary size, which requires only two parameters (ε and ω). Calibrations of the model using 168 groups of tests (22 kinds of grain size ratios with 7-9 kinds of fine contents) show two parameters that are fitting for power function, and the exponent values increase with the dominant grain size expanded. Besides, the exponent values are related to the equivalent grain size ratio, dominant grain size, and shape characteristics. The minimum void ratios with fine content are predicted under the derived model. Good agreement was obtained between the predictions and measurements, and the average discrepancies are less than 10%. And optimal void ratio and optimal fine content can be predicted, and the values are in good agreement with the experimental ones. Furthermore, based on the predicted optimal void ratio, the exponential relationship between the optimal void ratio and the equivalent grain size ratio may have no influence on the derived dominant grain size and shape characteristics. For tailings, further work is needed to verify if the derived exponential relationship between the optimal void ratio and the equivalent grain size ratio is valid. |
| format | Article |
| id | doaj-art-92469a1604884c2cb2642eb38cdb8c78 |
| institution | Kabale University |
| issn | 1468-8115 1468-8123 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geofluids |
| spelling | doaj-art-92469a1604884c2cb2642eb38cdb8c782025-02-03T06:11:58ZengWileyGeofluids1468-81151468-81232021-01-01202110.1155/2021/86191218619121Minimum Void Ratio Model Established from Tailings and Determination of Optimal Void RatioShibo Li0Hao Liang1Hao Li2Jianquan Ma3Bin Li4College of Geology and Environment, Xi’an University of Science and Technology, Xi’an 710054, ChinaCollege of Geology and Environment, Xi’an University of Science and Technology, Xi’an 710054, ChinaCollege of Geology and Environment, Xi’an University of Science and Technology, Xi’an 710054, ChinaCollege of Geology and Environment, Xi’an University of Science and Technology, Xi’an 710054, ChinaCollege of Geology and Environment, Xi’an University of Science and Technology, Xi’an 710054, ChinaMinimum void ratio of tailings and its value change with fine content and are key design parameters for tailing consolidation and seepage stability. Based on the distribution of tailing grains with the sedimentary beach, we establish a minimum void ratio model for tailing grain in binary size, which requires only two parameters (ε and ω). Calibrations of the model using 168 groups of tests (22 kinds of grain size ratios with 7-9 kinds of fine contents) show two parameters that are fitting for power function, and the exponent values increase with the dominant grain size expanded. Besides, the exponent values are related to the equivalent grain size ratio, dominant grain size, and shape characteristics. The minimum void ratios with fine content are predicted under the derived model. Good agreement was obtained between the predictions and measurements, and the average discrepancies are less than 10%. And optimal void ratio and optimal fine content can be predicted, and the values are in good agreement with the experimental ones. Furthermore, based on the predicted optimal void ratio, the exponential relationship between the optimal void ratio and the equivalent grain size ratio may have no influence on the derived dominant grain size and shape characteristics. For tailings, further work is needed to verify if the derived exponential relationship between the optimal void ratio and the equivalent grain size ratio is valid.http://dx.doi.org/10.1155/2021/8619121 |
| spellingShingle | Shibo Li Hao Liang Hao Li Jianquan Ma Bin Li Minimum Void Ratio Model Established from Tailings and Determination of Optimal Void Ratio Geofluids |
| title | Minimum Void Ratio Model Established from Tailings and Determination of Optimal Void Ratio |
| title_full | Minimum Void Ratio Model Established from Tailings and Determination of Optimal Void Ratio |
| title_fullStr | Minimum Void Ratio Model Established from Tailings and Determination of Optimal Void Ratio |
| title_full_unstemmed | Minimum Void Ratio Model Established from Tailings and Determination of Optimal Void Ratio |
| title_short | Minimum Void Ratio Model Established from Tailings and Determination of Optimal Void Ratio |
| title_sort | minimum void ratio model established from tailings and determination of optimal void ratio |
| url | http://dx.doi.org/10.1155/2021/8619121 |
| work_keys_str_mv | AT shiboli minimumvoidratiomodelestablishedfromtailingsanddeterminationofoptimalvoidratio AT haoliang minimumvoidratiomodelestablishedfromtailingsanddeterminationofoptimalvoidratio AT haoli minimumvoidratiomodelestablishedfromtailingsanddeterminationofoptimalvoidratio AT jianquanma minimumvoidratiomodelestablishedfromtailingsanddeterminationofoptimalvoidratio AT binli minimumvoidratiomodelestablishedfromtailingsanddeterminationofoptimalvoidratio |