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Reinforcement treatment of dredging sludge using a novel method of electro-osmosis vacuum preloading.
- Source :
-
Marine Georesources & Geotechnology . Mar2024, p1-17. 17p. 14 Illustrations, 4 Charts. - Publication Year :
- 2024
-
Abstract
- AbstractThis case study proposed a novel electro-osmosis PRD vacuum preloading method to solve dredging sludge treatment issues: difficulty in draining from soil showing large volume, non-uniform settlement, and low strength. To verify the effectiveness of the new method, four kinds of physical model tests integrating particle image velocimetry (PIV) technique of traditional vacuum preloading (VP), prefabricated radiant drain vacuum preloading (PRD-VP), electro-osmotic vacuum preloading (EO-VP), and EO-PRD-VP methods are conducted. The water discharge, average surface settlement, pore water pressure, water content, and undrained shear strength after treatment, clogging range, relationship between clogging range and water discharge rate, and relationship between clogging range and average surface settlement are investigated. For those model tests, it is demonstrated that EO-PRD-VP method has the best advantage in volume reduction, uniform settlement, and strength improvement. Water discharge is enlarged by 13–33%. The differential settlement can reach 2.3 cm, decreased by 28–56%. The undrained shear strength can reach 12 kPa, increased by 1–2 times. In addition, the clogging range development is described, for the given water discharge rate and average surface settlement, clogging range of EO-PRD-VP method is the minimum. The empirical equations between clogging range and water discharge rate, clogging range, and average surface settlement are established to predict the clogging range, which can lay the foundation for developing the consolidation theory of EO-PRD-VP method. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1064119X
- Database :
- Academic Search Index
- Journal :
- Marine Georesources & Geotechnology
- Publication Type :
- Academic Journal
- Accession number :
- 176094317
- Full Text :
- https://doi.org/10.1080/1064119x.2024.2327651