Field Monitoring of TBM Vibration During Excavating Changing Stratum: Patterns and Ground Identification

Liu, Mengbo; Liao, Shaoming; Men, Yanqing; Xing, Huitang; Liu, Hao; Sun, Lianyong

doi:10.1007/s00603-021-02714-6

Cited by 31 publications

(8 citation statements)

References 33 publications

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“…The relevant conclusions drawn in this paper have also been confirmed in the relevant literature 18 , 19 . However, this study examined the correlations between the tunnelling parameters and vibration characteristics of TBMs, determined the quantitative relationships between the tunnelling parameters and the RMS of the main beam vibrations of TBMs, and realized continuous real-time prediction of the main beam vibrations of TBMs.…”

Section: Discussionsupporting

confidence: 84%

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Vibration prediction and analysis of the main beam of the TBM based on a multiple linear regression model

Yang,

Du,

et al. 2024

Sci Rep

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The vibration of tunnel boring machine (TBM) is very difficult to monitor on sites, and related research on prediction methods is rare. Based on the field tunnelling test of a TBM in the Xinjiang Ehe project, the vibration information of the main beam of the TBM under different surrounding rock conditions is collected. The relationships among the tunnelling parameters, surrounding rock parameters and vibration parameters were studied. The results show that the penetration, cutter head speed, torque and thrust are important parameters affecting TBM vibration. In addition, the field penetration index and cutter head driving power index are significantly related to the root mean square of acceleration. Based on this, a multiple regression prediction model of TBM vibration is established. The model was verified and analysed via field projects, and the relative prediction error was less than 12%. This method can be used to predict the vibration of a TBM in real time through characteristic parameters without the use of a traditional monitoring system. This approach is highly important for determining the status of TBM equipment in real time.

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Section: Discussionsupporting

confidence: 84%

“…The relationship between the axial RMS and tunnelling parameters was investigated in this study. The formula for calculating the RMS is as follows 19 : where x i is the vibration acceleration at the sample point (m/s 2 ).…”

Section: Data Preprocessingmentioning

confidence: 99%

Vibration prediction and analysis of the main beam of the TBM based on a multiple linear regression model

Yang,

Du,

et al. 2024

Sci Rep

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“…The geological conditions are always continued in a construction site. Therefore, the shield parameters can be clustered as factors to evaluate the types of geological characteristics [14] , [15] , [16] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Data on prediction of geological characteristics during shield tunnelling in mixed soil and rock ground

Yan

2022

Data in Brief

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“…Huanga et al [35] developed a real-time monitoring system for the interaction between the TBM and surrounding rocks, proving that the vibration of the TBM head is related to the rock properties. Recently Liu et al [36] conducted a very valuable field monitoring programme wherein a EPB-TBM was fitted with one triaxial accelerometer and three one-axial accelerometers.…”

Section: Introductionmentioning

confidence: 99%

An Early-Warning System to Validate the Soil Profile during TBM Tunnelling

et al. 2022

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Identification of soil condition at the working face of a tunnel boring machine (TBM) is a key factor for the efficiency and safety of TBM tunneling. The paper presents the first application of the Horizontal-to-Vertical Spectral Ratio (HVSR) method on microtremors induced by a TBM during tunnelling. The innovative application is based on the development of an easy-to-use and economical early-warning system, which aims to confirm, or otherwise, the soil profile established in the design phase of tunnels by comparing the soil natural frequencies obtained from the soil profile carried out during the design phase and the soil natural frequencies coming from the HVSR analysis of the microtremors induced by the TBM during tunnelling. Just one or two geophones are necessary to use the proposed procedure. It can be applied to an area up to about 20 m ahead of the TBM excavation front and constitutes a powerful early warning system. Due to the great heterogeneity of the subsoil, dual-mode TBMs are often used, frequently changing from Open-Face (OF) mode for rock formations to Earth Pressure Balance (EPB) mode for cohesive and incoherent soil. Any “additional” information on the soil, which will be dug in the next days or hours is extremely useful for subsoil with great heterogeneity. The new procedure offers a reasonable time interval in which to modify the excavation method. This, in turn, can avoid damage to the TBM and existing structures and infrastructures. It allows us also to have a valuable geotechnical database for future works on the infrastructural networks. The proposed procedure has been successfully applied during the construction of the new underground lines in Catania (Italy).

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Field Monitoring of TBM Vibration During Excavating Changing Stratum: Patterns and Ground Identification

Cited by 31 publications

References 33 publications

Vibration prediction and analysis of the main beam of the TBM based on a multiple linear regression model

Vibration prediction and analysis of the main beam of the TBM based on a multiple linear regression model

Data on prediction of geological characteristics during shield tunnelling in mixed soil and rock ground

An Early-Warning System to Validate the Soil Profile during TBM Tunnelling

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