State-of-the-art review on pressure infiltration behavior of bentonite slurry into saturated sand for TBM tunneling

Author:

Qin Su,Cheng Yang,Zhou Wan-Huan

Abstract

AbstractThe pressure infiltration behavior of bentonite slurry (a mixture of water and bentonite) in front of a slurry tunnel boring machine (TBM) determines the effectiveness of tunnel face support when tunneling through saturated sand. This paper provides a comprehensive review of relevant studies, encompassing the rheology of bentonite slurry, laboratory experiments, numerical simulations for modeling slurry infiltration in sand, and an exploration of the membrane behavior of filter cake. The review found that variations in test conditions for bentonite slurry are the primary contributing factor leading to discrepancies in rheological measurement results. Conventional column-based slurry infiltration tests often impose a high hydraulic gradient on the soil sample, making the observations from these tests incomparable to real tunnel scenarios where the hydraulic gradient is much lower. Two primary slurry infiltration types were identified: one involving an external filter cake alongside an infiltration zone, and the other featuring solely an infiltration zone. The filter cake effectively stops further infiltration of bentonite and serves as a media for transferring the slurry pressure to the soil skeleton. Owing to the viscoplastic properties of bentonite slurry, a decrease in flow velocity fosters an increase in rheological resistance, thereby aiding in the stabilization of the excavation process. The inclusion of fine sand, seawater, and liquids with acidic or heavy metal properties could notably undermine both the characteristics of bentonite slurry and the sealing capacity of the filter cake. Hence, it becomes crucial to effectively control the workability of bentonite slurry throughout the process of slurry TBM tunneling.

Funder

National Natural Science Foundation of China

The Science and Technology Development Fund of Macau SAR

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3