Hard rock TBM Tunnelling – on the way to a better prognosis? / TBM‐Hartgesteinsvortriebe: Auf dem Weg zu einer verbesserten Prognose?

Thuro, Kurosch; Wilfing, Lisa; Wieser, Carola; Ellecosta, Peter; Käsling, Heiko; Schneider, Eckart

doi:10.1002/geot.201500008

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…This is namely the Colorado School of Mines (CSM) model [3] [4] as semi-theoretical and the Gehring model [5] as empirical model. The following paragraph provides a short summary whereas detailed description can be read in [2] and [6].…”

Section: Penetration Prediction Modelsmentioning

confidence: 99%

“…In terms of this work, the second testing procedure has been used and adopted in some points which are briefly described in the next paragraph. For detailed information see [2] and [6].…”

Section: Penetration Testsmentioning

confidence: 99%

“…As most of the commonly used models were developed decades ago, an update and improvement seems to be obvious. This topic is in the focus of researchers from the ABROCK research group which is collaboration between five universities (Technische Universität München, Montanuniversität Leoben, Universität Innsbruck, ETH Zürich, EPF Lausanne), clients, contractors and TBM manufacturers [1] [2]. The aim is to develop a new and updated prognosis model called Alpine model that is mainly based on the existing Gehring…”

Section: Introductionmentioning

confidence: 99%

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Penetration tests at the Koralm Tunnel (KAT2) – The right tool to improve penetration prediction in TBM tunneling? / Penetrationsversuche am Beispiel des Koralmtunnels (KAT2) – Ein Werkzeug zur Verbesserung von Penetrationsprognosen im maschinellen Tunnelbau?

Wilfing

Käsling

Goliasch

et al. 2016

Geomechanics and Tunnelling

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Performance prediction is one of the crucial issues for estimating excavation costs and construction time of tunnel projects. In mechanized tunneling, TBM performance highly depends on achieved penetration rate and cutter wear. The aim of the research group ABROCK and the topic of this paper is the improvement of penetration prediction by performing on-site penetration tests. Therefore estimated parameters by two existing prediction models (Gehring model, Colorado School of Mines model) are compared with the results of penetration tests at Austrians large infrastructure project of the OeBB Koralm tunnel construction lot KAT2. Penetration tests are a common tool to determine the performance of a TBM in certain geological environments. During a test, the TBM is operated under defined conditions that allow the comparison of different tunnel projects and machine types in analogous geological conditions. Results show that only for a narrow scope, considered prediction models reveal appropriate fitting. Once the rock mass is fractured or the stress level within the rock mass changes, existing models are not applicable. This fact emphasizes the need of an update for penetration prediction models by implementing a correction factor for discontinuities and the stress state in a rock mass. This may result in a new prognosis model called Alpine model.

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Section: Penetration Prediction Modelsmentioning

confidence: 99%

“…In terms of this work, the second testing procedure has been used and adopted in some points which are briefly described in the next paragraph. For detailed information see [2] and [6].…”

Section: Penetration Testsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Penetration tests at the Koralm Tunnel (KAT2) – The right tool to improve penetration prediction in TBM tunneling? / Penetrationsversuche am Beispiel des Koralmtunnels (KAT2) – Ein Werkzeug zur Verbesserung von Penetrationsprognosen im maschinellen Tunnelbau?

Wilfing

Käsling

Goliasch

et al. 2016

Geomechanics and Tunnelling

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“…Sci. 2022, 12, 1446 2 of 25 has disadvantages in extreme cases such as soft or very hard rocks [3,4]. Over the years, several different indices have been developed to offer reasonable quantitative measures for rock abrasivity.…”

Section: Introductionmentioning

confidence: 99%

Application of Soft Computing Techniques to Estimate Cutter Life Index Using Mechanical Properties of Rocks

2022

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The wear of cutting tools is critical for any engineering applications dealing with mechanical rock excavations, as it directly affects the cost and time of project completion as well as the utilization rate of excavators in various rock masses. The cutting tool wear could be expressed in terms of the life of the tool used to excavate rocks in hours or cutter per unit volume of excavated materials. The aim of this study is to estimate disc cutter wear as a function of common mechanical rock properties including uniaxial compressive strength, Brazilian tensile strength, brittleness, and density. To achieve this goal, a database of cutter life was established by analyzing data from 80 tunneling projects. The data were then utilized for evaluating the relationship between rock properties and cutter consumption by means of cutter life index. The analysis was based on artificial intelligence techniques, namely artificial neural networks (ANN) and fuzzy logic (FL). Furthermore, linear and non-linear regression methods were also used to investigate the relationship between these parameters using a statistical software package. Several alternative models are introduced with different input variables for each model, to identify the best model with the highest accuracy. To develop these models, 70% of the dataset was used for training and the rest, for testing. The estimated cutter life by various models was compared with each other to identify the most reliable model. It appears that the ANN and FL techniques are superior to standard linear and non-linear multiple regression analysis, based on the higher correlation coefficient (R2) and lower Mean square error (MSE).

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Does the in‐situ stress state have an effect on tool wear in deep TBM tunnelling?

Rauch¹,

Goliasch²,

Käsling

et al. 2018

Geomechanics and Tunnelling

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Analysis of wear data from a TBM tunnelling project under high overburden shows diverging wear rates on the disc cutters depending on their position in the cutterhead. The disc cutters at inner and middle positions in the cutterhead reach about twice the running distances compared with cutters fitted at pre‐gauge positions. This work shows that the construction of the cutterhead has an impact on the degree of abrasive wear, especially for the gauge positions. Moreover, the analysis shows that the in‐situ stress state correlates significantly with disc cutter wear. Working temperatures of disc cutters were also measured and analysed. In general, the measured temperatures are controlled by the transverse velocity of the disc cutters, which depends on the position of the disc cutter in the cutter head. Furthermore, there is a good correlation between the results of the analysis of disc cutter wear and the measured disc cutter temperatures. It is shown that high temperatures and high cutter wear occur at the same positions in the cutterhead.

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Hard rock TBM Tunnelling – on the way to a better prognosis? / TBM‐Hartgesteinsvortriebe: Auf dem Weg zu einer verbesserten Prognose?

Cited by 5 publications

References 8 publications

Penetration tests at the Koralm Tunnel (KAT2) – The right tool to improve penetration prediction in TBM tunneling? / Penetrationsversuche am Beispiel des Koralmtunnels (KAT2) – Ein Werkzeug zur Verbesserung von Penetrationsprognosen im maschinellen Tunnelbau?

Penetration tests at the Koralm Tunnel (KAT2) – The right tool to improve penetration prediction in TBM tunneling? / Penetrationsversuche am Beispiel des Koralmtunnels (KAT2) – Ein Werkzeug zur Verbesserung von Penetrationsprognosen im maschinellen Tunnelbau?

Application of Soft Computing Techniques to Estimate Cutter Life Index Using Mechanical Properties of Rocks

Does the in‐situ stress state have an effect on tool wear in deep TBM tunnelling?

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