Prediction and performance of a ground freezing application to the rehabilitation works of an existing tunnel

Arroyo, Marcos; Solé, Antonio Gens; Croce, Paolo; Modoni, Giuseppe

doi:10.1201/b12748-25

Cited by 8 publications

(7 citation statements)

References 1 publication

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“…In prior studies (e.g. Croce et al 2007;Arroyo et al 2012), the inclination has been found to be normally distributed around zero, negative inclination angle indicates that the axis is oriented to the opposite direction. In some single-shaft jet-grouting productions, the jet grout machine's mast is D r a f t relocated each time that a jet-grout column is installed.…”

Section: Statistical Characteristicsmentioning

confidence: 95%

“…The axis orientation's azimuth ߙ is simulated as an independent random variable uniformly distributed over [0, 2π] because the axis can incline in any direction without bias, this being validated by field data (Eramo et al 2011). Similarly, the inclination angle ߚ is assumed to follow a normal distribution with zero mean and a standard deviation of 0.3 degrees because the axis is calibrated to be vertical and the probability density function is bell-shaped (see Arroyo et al 2012;Modoni et al 2016). Therefore, a seepage passage with a diameter larger than approximately 4 cm can be detected.…”

Section: Reference Casementioning

confidence: 99%

“…13, the normalized flow rate increases significantly as the standard deviation of inclination angle increases. The standard deviation of 0.3 degree is the upper bound value as those used in the parametric studies in Arroyo et al (2012) and Modoni et al (2016). Therefore, it is conservative to use standard deviation of 0.3 degree in the reference case.…”

Section: R a F Tmentioning

confidence: 99%

“…Similarly, when tunnelling in urban areas, a pre-treatment on the soft clay surrounding the tunnelling face, or a layer of canopy or umbrella are usually required to prevent excessive disturbance of the environment (e.g. Pellegrino and Adams 1996;Lignola et al 2008;Flora et al 2011;Arroyo et al 2012;Ochmansk et al 2015a).…”

mentioning

confidence: 99%

“…Madinaveitia 1996;Sondermann and Toth 2001;Flora et al 2012;Modoni et al 2016), and improved surrounding of a tunnel (e.g. D r a f t Shirlaw 1996; Pellegrino and Adams 1996;Morey and Campo 1999;Lignola et al 2008;Flora et al 2007Flora et al , 2011Arroyo et al 2012). The existence of such untreated zones can potentially result in sudden inflows of ground water, and soils, which can draw down local water tables and cause significant surface settlement (Morey and Campo 1999).…”

mentioning

confidence: 99%

See 4 more Smart Citations

Probabilistic investigations on the watertightness of jet-grouted ground considering geometric imperfections in diameter and position

Pan

Liu

et al. 2017

Can. Geotech. J.

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The effect of geometric imperfections in both diameter and position of jet-grouted columns on the watertightness of an underground cement-treated slab is investigated in this study. A three-dimensional discretized algorithm is proposed to facilitate the detection and measurement of untreated zones that penetrate the treated slab. The normalized flow rate of a cement-treated slab is then evaluated by calculating the harmonic average area of the penetrated defect. Statistical evaluation of the gross flow rate through the penetrated defects is carried out via Monte Carlo simulations. The results show that a more economic design is obtainable if intracolumn variation of diameter is considered or multi-shaft jet-grouting is used. Based on the statistical results, a reliability-based design method is proposed for designers to strike a balance among various design parameters, including slab thickness, depth, column diameter, and column spacing.

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Section: Statistical Characteristicsmentioning

confidence: 95%

Section: Reference Casementioning

confidence: 99%

Section: R a F Tmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Probabilistic investigations on the watertightness of jet-grouted ground considering geometric imperfections in diameter and position

Pan

Liu

et al. 2017

Can. Geotech. J.

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An efficient transient‐state algorithm for evaluation of leakage through defective cutoff walls

Pan

Hicks

Broere

2020

Num Anal Meth Geomechanics

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Artificial barriers are widely used to prevent leakages. However, due to construction errors during the wall installation, passages with small dimensions may occasionally penetrate through the barrier, undermining its tightness. A three-dimensional discretized algorithm (TDA) is proposed for quantitatively estimating the transient-state discharge rate through defective cutoff walls. By discretizing the wall into a three-dimensional refined mesh grid, the algorithm enables an examination of penetrating passages, an evaluation of defect dimensions, and an estimation of discharge rate through the penetrating passages. A rigorous realization-by-realization comparison between the TDA and the finite element method (FEM) was made, and it was found that the TDA results show strong correlations with the FEM results, but at a remarkably lower (1/10 3-1/10 4) computational cost. The TDA generally gives a discharge rate that is 0.1-1.0 times greater than its FEM counterpart, as the lengthened seepage distance due to random corrugations in the penetrating untreated zone cannot be replicated by the TDA.

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Prediction of the diameter of jet grouting columns with artificial neural networks

Ochmański

Modoni

Bzówka

2015

Soils and Foundations

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Prediction and performance of a ground freezing application to the rehabilitation works of an existing tunnel

Cited by 8 publications

References 1 publication

Probabilistic investigations on the watertightness of jet-grouted ground considering geometric imperfections in diameter and position

Probabilistic investigations on the watertightness of jet-grouted ground considering geometric imperfections in diameter and position

An efficient transient‐state algorithm for evaluation of leakage through defective cutoff walls

Prediction of the diameter of jet grouting columns with artificial neural networks

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