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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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
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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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Journal ArticleDOI
The use of tunnelling parameters and spoil characteristics to assess soil types: a case study from alluvial deposits at a pipejacking project site
TL;DR: In this paper, the major and other ground components of a tunnel were determined using five factors: cutter wheel torque, sieve residue, flow rate of feedline, pressure in the feed and discharge lines and density of bentonite slurry.
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Undrained shear strength of clays as modified by pH variations
Giovanni Spagnoli,David A. Rubinos,Helge Stanjek,Tomas M. Fernandez-Steeger,Martin Feinendegen,Rafig Azzam +5 more
TL;DR: In this paper, it was found that the undrained shear resistance for clays increased considerably if the pore fluid had a high or a low pH, and the possible explanation could be the dissolution of Al3+ which acts as a coagulant, increasing the internal shear strength.
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Reduction of the clogging potential of clays: new chemical applications and novel quantification approaches
TL;DR: In this paper, the limited efficiency of existing conditioning chemicals is quantified and explained, and an enhanced interaction mechanism is proposed, based on sealing the clay aggregates against the penetration of water; it requires the addition of polyamine chemicals, as a newly patented application.
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Back-analysis and finite element modeling of jacking forces in weathered rocks
TL;DR: In this paper, the authors applied the generalized tangential technique to the nonlinear direct shear test results to obtain linear Mohr-Coulomb parameters, c′p and ϕ′p.
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New considerations for empirical estimation of tensile strength of rocks
TL;DR: Overall, the MLPN model was found to be the best model for the present development and evaluation datasets and an equation was suggested based on ANN model to estimate the tensile strength of rocks.