Bentonite slurries are essential for the operation of Slurry Tunnel Boring Machines (TBMs), helping to stabilize the excavation face, prevent soil collapse, and control groundwater inflow. This study examines the performance of a sodium-activated bentonite slurry used in tunnelling, focusing on its physical-chemical properties, rheological behavior, and interaction with soil. Tests were conducted to measure parameters such as unit weight, flowability, bleeding, fluid loss, filter cake quality, and pH. Rheological properties like apparent viscosity, plastic viscosity, yield point, and gel strength were also evaluated. Additionally, the interaction between the slurry and soil was analyzed to study the filter cake formation. The results showed that slurry with 5% bentonite performs well for TBM applications, offering strong stability, effective fluid loss control, and good rheological properties. This highlights the importance of optimizing bentonite slurries, future research could explore the potential of using additives to enhance performance to ensure safe and efficient tunnelling, especially in challenging ground conditions.

Bentonite slurries are essential for the operation of Slurry Tunnel Boring Machines (TBMs), helping to stabilize the excavation face, prevent soil collapse, and control groundwater inflow. This study examines the performance of a sodium-activated bentonite slurry used in tunnelling, focusing on its physical-chemical properties, rheological behavior, and interaction with soil. Tests were conducted to measure parameters such as unit weight, flowability, bleeding, fluid loss, filter cake quality, and pH. Rheological properties like apparent viscosity, plastic viscosity, yield point, and gel strength were also evaluated. Additionally, the interaction between the slurry and soil was analyzed to study the filter cake formation. The results showed that slurry with 5% bentonite performs well for TBM applications, offering strong stability, effective fluid loss control, and good rheological properties. This highlights the importance of optimizing bentonite slurries, future research could explore the potential of using additives to enhance performance to ensure safe and efficient tunnelling, especially in challenging ground conditions.


ISSN 1121-9041

CiteScore:
2020: 3.8
CiteScore measures the average citations received per peer-reviewed document published in this title.
CiteScore values are based on citation counts in a range of four years (e.g. 2016-2019) to peer-reviewed documents (articles, reviews, conference papers, data papers and book chapters) published in the same four calendar years, divided by the number of these documents in these same four years (e.g. 2016 —19).
Source Normalized Impact per Paper (SNIP):
2019: 1.307
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR)
2019: o.657
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal's impact.
Journal Metrics: CiteScore: 1.0 , Source Normalized Impact per Paper (SNIP): 0.381 SCImago Journal Rank (SJR): 0.163

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