Sustainable Pipe Jacking Technology in the Urban Environment

Ong, Dominic Ek Leong; Barla, Marco; Cheng, Jason Wen-Chieh; Choo, Chung Siung; Sun, Minmin; Peerun, Mohammud Irfaan

doi:10.1007/978-981-16-9372-4

Cited by 7 publications

(2 citation statements)

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“…The findings of the development of MC parameters from cavity expansion theory established using the pressuremeter test are transferable to other geological conditions, which have been established by Yu and Houlsby [45]. The main limitation here is the maximum expansion pressure the pressuremeter test can reach when dealing with significantly stronger rock masses [44]. Additionally, the use of GRU with an attention mechanism is applicable to pipe jacking drives in other geological conditions, which could potentially highlight changes in the importance of operation parameters on jacking forces in other geological conditions.…”

Section: Discussionmentioning

confidence: 57%

“…An in situ test using a pressuremeter (PMT) was introduced to study the strength properties and stiffness of lithology by expanding the probe using pressurised gas or water, which is commonly used for the applications of foundation design [41,42], determining the bearing capacity of the pile [43] and settlement predictions [41]. The PMT was utilised by lowering the probe into the test borehole at the required test depth [44]. Pressure and deformation of the geomaterial were measured during the expansion of the probe, which were subsequently interpreted to characterise the strength properties.…”

Section: Cavity Expansion Theory and Pressuremeter Testingmentioning

confidence: 99%

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Evaluation of Jacking Forces in Weathered Phyllite Based on In Situ Pressuremeter Testing and Deep Learning

Yeo,

Phangkawira,

Kueh

et al. 2024

Geosciences

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Pipe jacking is a trenchless technology used to install buried pipelines, such as sewer lines in wastewater management systems. Existing mechanistic approaches based on geomaterial strength parameters (i.e., friction angle and apparent cohesion) can provide an estimation of the potential jacking forces during construction. However, extracting intact rock cores for strength characterisation is challenging when dealing with highly weathered ‘soft rocks’ which exhibit RQD values of zero. Such was the case for a pipe jacking drive traversing the highly weathered lithology underlying Kuching City, Malaysia. Furthermore, mechanistic approaches face limitations during construction when jacking forces are dependent on operation parameters, such as jacking speed and lubrication. To address these knowledge gaps, the primary objectives of this study are the development of rock strength parameters based on in situ pressuremeter testing for the purpose of estimating jacking forces. Furthermore, this study investigates the influence of various pipe jacking operation parameters, with a particular focus on their impact on jacking forces in weathered ‘soft rocks’. To achieve this, a novel deep learning model with an attention mechanism is introduced. The proposed methods of rock strength parameters derived from pressuremeter testing and the utilisation of deep learning will help to provide insights into the key factors affecting the development of jacking forces. This paper successfully shows the use of in situ pressuremeter testing in developing Mohr–Coulomb (MC) parameters directly from the site. In addition, the developed deep learning model with an attention mechanism successfully highlights the significance of pipe jacking operation parameters with an accuracy of 88% in predicting the jacking forces.

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Section: Discussionmentioning

confidence: 57%