Journal ArticleDOI
Pipejacking clogging detection in soft alluvial deposits using machine learning algorithms
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TLDR
A baseline assessment of clogging in slurry-supported pipejacking is performed using a combination of TBM parameters and semi-empirical diagrams proposed in the literature, and the potential for one-class support vector machines (OCSVM), isolation forest and robust covariance (Robcov) to assess the tendency for clogging is explored.About:
This article is published in Tunnelling and Underground Space Technology.The article was published on 2021-07-01. It has received 34 citations till now. The article focuses on the topics: Clogging.read more
Citations
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Journal ArticleDOI
Effects of chemical contamination on microscale structural characteristics of intact loess and resultant macroscale mechanical properties
TL;DR: In this article, the micro-scale structural characteristics of the loess exposed to acetic acid, phosphoric acid, sodium hydroxide, and sodium sulfate respectively are studied using scanning electron microscopy, X-ray diffraction, and energy dispersive spectroscopy tests.
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A comparative study of different machine learning algorithms in predicting EPB shield behaviour: a case study at the Xi’an metro, China
Journal ArticleDOI
Revealing the Enhancement and Degradation Mechanisms Affecting the Performance of Carbonate Precipitation in EICP Process
TL;DR: Wang et al. as discussed by the authors explored the potential use of the EICP technology for the protection of heritage buildings in NW China and found that the modified version performed the best with the highest calcite precipitation.
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Investigating microscale structural characteristics and resultant macroscale mechanical properties of loess exposed to alkaline and saline environments
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Investigating immobilization efficiency of Pb in solution and loess soil using bio-inspired carbonate precipitation.
TL;DR: In this paper , the authors explored the potential of applying the MICP technology to remediate Pb-rich water bodies and Pbcontaminated loess soil sites, and found that the Pb immobilization efficiency of above 85% is attained through PbCO3 and PB(CO3)2(OH)2 precipitation.
References
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Applicability of electro-osmosis to reduce clay adherence in a TBM
TL;DR: In this article, the authors investigated the effect of electro-osmosis on the adherence of a tunnel boring machine (TBM) through stiff clays, using two test methods, the tilted plate and the direct shear box.
Mineralogical, Mechanical and Electrical Properties of the Clays and their Relation with regard to the Clogging during Mechanical Tunnel Driving
TL;DR: In this article, the authors show how the mineralogical properties of clays play an important role for the mechanical and adhesive response of the encountered clay formations during the excavation of a tunneling project.
Book ChapterDOI
EPB excavation of cohesive mixed soils: Combined methodology for clogging and flow assessment
The impact of mineralogy and chemical conditioning on the mechanical and adhesive properties of clays
TL;DR: In this paper, the clogging behavior of four sticky clays with different mineralogies, i.e. London Clay, Vienna Clay, Frankfurt Clay and Wimpfsfeld II Clay, is discussed on the basis of cone pullout tests.