Prediction of penetration per revolution in TBM tunneling as a function of intact rock and rock mass characteristics

Benato, A.; Oreste, Pierpaolo

doi:10.1016/j.ijrmms.2014.12.007

Cited by 68 publications

(20 citation statements)

References 16 publications

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“…Metode penilaian massa batuan melibatkan proses analisis kuat tekan batuan intact dan sifat diskontinuitas yang secara signifikan mempengaruhi estimasi perilaku teknik dari suatu massa batuan [4]. Metode penilaian massa batuan telah banyak dikembangkan dan digunakan dalam kegiatan rekayasa teknik, antara lain: prediksi kecepatan penetrasi pemboran pada terowongan [5], analisis perilaku massa batuan setelah penutupan terowongan [6], analisis pengaruh air pada bidang diskontinuitas terhadap stabilitas massa batuan [7], pemodelan aliran airtanah pada batuan terfrakturasi di terowongan [8], dan kestabilan lereng pada potongan massa batuan di jalan raya [4].…”

Section: Terowonganunclassified

Evaluasi Massa Batuan Terowongan Eksplorasi Uranium Eko-Remaja, Kalan, Kalimantan Barat

Kamajati¹,

Syaeful²,

Garwan³

2016

EKSPLORIUM

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ABSTRAKTerowongan eksplorasi uranium Eko Remaja, Kalan, Kalimantan Barat merupakan salah satu sarana penelitian cebakan uranium yang sangat penting. Terowongan ini dibangun tahun 1980 dengan panjang 618 meter dan menembus Bukit Eko di kedua sisinya. Batuan di terowongan ini relatif kompak, tetapi memiliki zona lemah di beberapa bagiannya. Penyanggaan merupakan metode yang digunakan untuk menanggulangi keruntuhan tanah dan batuan yang terjadi pada zona lemah di terowongan. Pemasangan penyangga yang selama ini dilakukan berdasarkan pola keruntuhan yang terjadi pada saat pembukaan terowongan tanpa melalui studi khusus menyangkut karakterisasi massa batuan dan kebutuhan sistem penyangga. Penelitian ini dilakukan untuk mengevaluasi tingkat keselamatan terowongan Eko-Remaja dan kesesuaian lokasi penyangga. Evaluasi dilakukan dengan membandingkan karakteristik massa batuan menggunakan metode Rock Mass Rating (RMR) antara lokasi penyangga batuan terpasang dan lokasi penyangga batuan tidak terpasang. Berdasarkan hasil analisis, nilai RMR pada lokasi terpasang penyangga diklasifikasikan ke dalam kelas IV atau batuan buruk. Sementara itu, di lokasi tidak terpasang penyangga batuan diklasifikasikan ke dalam kelas II atau batuan baik. Berdasarkan korelasi antara hasil perhitungan RMR dengan roof span terowongan Eko-Remaja disimpulkan bahwa posisi penyanggaan terowongan yang diwakili oleh lokasi pengamatan pada kedalaman 38 m, 73 m, dan 165 m sudah sesuai dengan sistem karakterisasi massa batuan menggunakan metode RMR. ABSTRACTEko-Remaja uranium exploration tunnel, Kalan, West Kalimantan is one of the important facilities for uranium deposit research. The tunnel was built in 1980 with a length of 618 meters penetrating Eko Hill on both sides. The rock inside the tunnel is relatively compact, but it has weak zones in some area. Ground supporting is a method used to overcome the soil and rock collapses which occurred in the tunnel weak zones. Installation of ground supporting system throughout the recent time based on the soil collapse pattern, which occurred when the tunnel opened without any specific study related to rock mass characterization and the requirement of ground support system. This research conducted to evaluate the safety level of Eko-Remaja tunnel and the suitability of ground support location. The evaluation performed by comparing the rock mass characteristics using Rock Mass Rating (RMR) method between the installed rock support and uninstalled rock support locations. Based on the analysis result, RMR value on the installed ground support is classified as class IV or poor rock. Meanwhile, on uninstalled location, the rock is classified as class II or fair rock. Based on the correlation between RMR calculation result and Eko-Remaja tunnel roof span, it is concluded that tunnel ground supports position which are represented by observation location on 38 m, 73 m, and 165 m depth are suitable with rock mass characterization system using RMR method.

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Section: Terowonganunclassified

Evaluasi Massa Batuan Terowongan Eksplorasi Uranium Eko-Remaja, Kalan, Kalimantan Barat

Kamajati¹,

Syaeful²,

Garwan³

2016

EKSPLORIUM

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“…Mechanical properties of rock and rock mass largely affect the penetration indices; therefore, they are commonly used in TBM performance evaluation (Yagiz 2008;Hassanpour et al 2011;Delisio and Zhao 2014;Benato and Oreste 2015). Similarly, RMR, Q, and other rock mass quality ratings contribute to many TBM performance models (Bieniawski et al 2007;Barton 2000;Hamidi et al 2010;Hassanpour et al 2016;Salimi et al 2017;Maji and Theja 2017).…”

Section: Introductionmentioning

confidence: 99%

Descriptive statistical analysis of TBM performance at Abu Hamour Tunnel Phase I

Stypulkowski

Bernardeau²,

Jakubowski

2018

Arab J Geosci

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The Abu Hamour Surface and Ground Water Drainage Tunnel Phase I is a 9.5-km-long, 3.7-m-inside-diameter storm water tunnel about 30 m below ground surface. Integral to phase I of the project are 19 access shafts on the tunnel line. The authors performed a rock mass quality assessment program combining borehole logging, shaft wall mapping, and laboratory testing. The results, including RMR and Q estimates, are presented and their relation to tunnel boring machine (TBM) performance examined. Rock mass properties and TBM operational data and charts are discussed. The paper also presents the results of a regression analysis linking the TBM penetration rate (PR) (mm/min) and field penetration index (FPI) (kN/cutter/mm/rev) with some geotechnical and operational parameters aggregated by strokes. For this purpose, simple, interpretable, and fairly strong general linear regression models were estimated. Then, a predictive neural network regression model was built and evaluated, revealing considerable predictive potential of the data.

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“…CSM (Rostami, 1997) and NTNU (1998, Bruland, 1998, 2014 models are often used for estimating TBM performance. Other theoretical or empirical formulas and predictive models were proposed or evaluated by Hassanpour et al (2010Hassanpour et al ( , 2011, Delisio and Zhao (2014), Gong and Zhao (2009), Benato and Oreste (2015), Ramezanzadeh (2005), Bieniawski et al (2007), Palmstrom (1995), Barton (2000), Yagiz (2008), Hamidi et al (2010), Jain et al (2014), Salimi et al (2016) and others. Physical and mixed methods consider cutting mechanism, disk cutter forces and wear, and are based on various field and laboratory tests and simulations.…”

Section: Introductionmentioning

confidence: 99%

Multivariate Linear Regression and CART Regression Analysis of TBM Performance at Abu Hamour Phase-I Tunnel

Jakubowski¹,

Stypulkowski²,

Bernardeau³

2017

Archives of Mining Sciences

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The first phase of the Abu Hamour drainage and storm tunnel was completed in early 2017. The 9.5 km long, 3.7 m diameter tunnel was excavated with two Earth Pressure Balance (EPB) Tunnel Boring Machines from Herrenknecht. TBM operation processes were monitored and recorded by Data Acquisition and Evaluation System. The authors coupled collected TBM drive data with available information on rock mass properties, cleansed, completed with secondary variables and aggregated by weeks and shifts. Correlations and descriptive statistics charts were examined. Multivariate Linear Regression and CART regression tree models linking TBM penetration rate (PR), penetration per revolution (PPR) and field penetration index (FPI) with TBM operational and geotechnical characteristics were performed for the conditions of the weak/soft rock of Doha. Both regression methods are interpretable and the data were screened with different computational approaches allowing enriched insight. The primary goal of the analysis was to investigate empirical relations between multiple explanatory and responding variables, to search for best subsets of explanatory variables and to evaluate the strength of linear and non-linear relations. For each of the penetration indices, a predictive model coupling both regression methods was built and validated. The resultant models appeared to be stronger than constituent ones and indicated an opportunity for more accurate and robust TBM performance predictions.

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Prediction of penetration per revolution in TBM tunneling as a function of intact rock and rock mass characteristics

Cited by 68 publications

References 16 publications

Evaluasi Massa Batuan Terowongan Eksplorasi Uranium Eko-Remaja, Kalan, Kalimantan Barat

Evaluasi Massa Batuan Terowongan Eksplorasi Uranium Eko-Remaja, Kalan, Kalimantan Barat

Descriptive statistical analysis of TBM performance at Abu Hamour Tunnel Phase I

Multivariate Linear Regression and CART Regression Analysis of TBM Performance at Abu Hamour Phase-I Tunnel

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