Analysis and estimation of gripper TBM performances in highly fractured and faulted rocks

Paltrinieri, Erika; Sandrone, Federica; Zhao, Jun

doi:10.1016/j.tust.2015.11.017

Cited by 36 publications

(6 citation statements)

References 18 publications

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“…Due to high and sudden inflows of groundwater, jamming of TBMs has been reported [55]. Tunnelling under fault-zone, heterogeneous structural disturbance and underground water inflow conditions are always dangerous and can lead to accidents and collapses [54]. Such conditions and extreme water inflows have even resulted in the abandoning of the TBM [56].…”

Section: Influence Of In-situ Stress and Fault Zonesmentioning

confidence: 99%

“…Paltrinieri et al [54] dwelled on the degree of fracturing and weathering of the rock mass to define a fault-zone. They considered water inflows and depth of faulted or fractured zones as additional factors while developing a classification for such zones (Figure 7) and they concluded that these factors contribute to the reduction of TBM performance.…”

Section: Classification Of Fault-zonesmentioning

confidence: 99%

“…Fault-zone rock mass classification for underground tunnelling [54] Mechanically degraded rocks with fractured nature were thus designated as Class I and II. Class III and IV fault-zones consist of low-strength rocks with high deformability index, as well as foliated/ overlaid/ sheared rock masses of non-blocky structures and a predominant set of discontinuities and slickenside surfaces.…”

Section: Figurementioning

confidence: 99%

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Influence of geology on tunnel boring machine performance: A review

Pandey¹,

Raina²,

Deshmukh³

et al. 2020

J Min & Metal A Mining

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Tunnel boring machines are used for excavating a variety of soils and rocks for circular cross-section tunnels. Several published studies examined the role of rockmass in determining the cutting and advance rate of tunnel boring machines. A comprehensive review of literature was conducted to ascertain the influence of geological conditions on the performance of tunnel boring machines and revealed that different rock characteristics were used to define the tunnel boring machine performance. The progress of the tunnel boring machine was ascribed to the inherent properties of the rockmass, intact rock properties, and surrounding geological conditions. Several authors found that extreme geological conditions strongly influence the advance of the machine. The review revealed that joint spacing, angle between plane of weakness and tunnel axis, rock quality designation, and number of joint sets were the most important variables that influenced the advance rates of the tunnel boring machine. At least 12 intact rock variables were used to define tunnel boring machine performance with one to seven such variables used in combination. The compressive strength, tensile strength, and brittleness index emerged as most crucial intact properties. Rockmass classifications or indices of tunnel boring machine performance were used by different authors to predict their performance and even to define their selection methodology. Use of dynamic properties of rock/rockmass was identified as a grey area for future research by scientists.

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Section: Influence Of In-situ Stress and Fault Zonesmentioning

confidence: 99%

Section: Classification Of Fault-zonesmentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

See 1 more Smart Citation

Influence of geology on tunnel boring machine performance: A review

Pandey¹,

Raina²,

Deshmukh³

et al. 2020

J Min & Metal A Mining

View full text Add to dashboard Cite

show abstract

“…Mohammadi et al [19] suggested the TBM penetration rate using intact and mass rock properties. Paltrinieri et al [20] studied the analysis and estimation of gripper TBM performances. Salimi et al [21] developed a model for TBM performance prediction by regression technique.…”

Section: Introductionmentioning

confidence: 99%

Comparison of artificial neural networks (ANN), support vector machine (SVM) and gene expression programming (GEP) approaches for predicting TBM penetration rate

Afradi

Ebrahimabadi

2020

SN Appl. Sci.

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“…e TBM plays an important role in tunnel constructions such as the railway, highway, water conservancy, and municipal administration [1][2][3], Engineering geology is an important factor that affects the TBM driving efficiency. Rock formations with moderate rock strength and good integrity are more suitable for TBM construction, and lithology includes granite, limestone, conglomerate, and sandstone.…”

Section: Introductionmentioning

confidence: 99%

Influence Factors of Vibration Response on Supporting-Thrusting System of Tunnel Boring Machine

Mei

Xia

Lin

et al. 2020

Mathematical Problems in Engineering

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A supporting-thrusting system is the main load-bearing component of a tunnel boring machine (TBM) and the centralization of vibration response under TBM working. This study combines the structure and working principle of the supporting-thrusting system. Based on the vibration theory and test results at a construction site, the main influence factors of the vibration response of the supporting-thrusting system are the main beam structure, the characteristic parameters of advance cylinder, and the support pressure to surrounding rock. Under the different influence factors, the vibration response of the supporting-thrusting system is calculated and analyzed via computer simulation. The results indicate that, under the equivalent input-load on the TBM and increase in the length of the front main beam, the vibration acceleration at the front area of the TBM increases. The change rate of vertical vibration will be maximum, while the vibration acceleration at the rear area of TBM decreases. When the structure size of the thrusting cylinder increases, the vibration acceleration on the main beam decreases and those of the gripper shoe and saddle frame increase. However, the response to the axis vibration is the most sensitive. As the horizontal support pressure to the surrounding rock increases, the vibration acceleration on supporting-thrusting system decreases. When the level of support pressure exceeds 1.6e4 kN, the vibration acceleration changes gradually. These results provide a reference for designing and operating TBM parameters.

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Analysis and estimation of gripper TBM performances in highly fractured and faulted rocks

Cited by 36 publications

References 18 publications

Influence of geology on tunnel boring machine performance: A review

Influence of geology on tunnel boring machine performance: A review

Comparison of artificial neural networks (ANN), support vector machine (SVM) and gene expression programming (GEP) approaches for predicting TBM penetration rate

Influence Factors of Vibration Response on Supporting-Thrusting System of Tunnel Boring Machine

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