A new hard rock TBM performance prediction model for project planning

Hassanpour, Jafar; Rostami, Jamal; Zhao, Jun

doi:10.1016/j.tust.2011.04.004

Cited by 227 publications

(68 citation statements)

References 6 publications

(9 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A new statistical regression model combined the semi theoretical model by Colorado School of Mines and the empirical model by Norwegian University of Science and Technology in Trondheim is introduced in [3]. The study analyzes the strong and weak points of the two approaches and introduces a more accurate model by modifying the two models.…”

Section: Introductionmentioning

confidence: 99%

Regression Models and Fuzzy Logic Prediction of TBM Penetration Rate

et al. 2017

View full text Add to dashboard Cite

This paper presents statistical analyses of rock engineering properties and the measured penetration rate of tunnel boring machine (TBM) based on the data of an actual project. The aim of this study is to analyze the influence of rock engineering properties including uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), rock brittleness index (BI), the distance between planes of weakness (DPW), and the alpha angle (Alpha) between the tunnel axis and the planes of weakness on the TBM rate of penetration (ROP). Four (4) statistical regression models (two linear and two nonlinear) are built to predict the ROP of TBM. Finally a fuzzy logic model is developed as an alternative method and compared to the four statistical regression models. Results show that the fuzzy logic model provides better estimations and can be applied to predict the TBM performance. The R-squared value (R 2 ) of the fuzzy logic model scores the highest value of 0.714 over the second runner-up of 0.667 from the multiple variables nonlinear regression model.

show abstract

Section: Introductionmentioning

confidence: 99%

Regression Models and Fuzzy Logic Prediction of TBM Penetration Rate

et al. 2017

View full text Add to dashboard Cite

show abstract

“…TBM method is suitable for long tunnel construction, with the absolute advantages of fast speed and high quality. The geological factors that impact the success and efficiency of TBM are lithology, rock strength, rock hardness, abrasion resistance, rock mass structures and so on (Barton N., 2000;Kahraman S.,2003;Moon T and Oh J., 2000;Hassanpoura J, 2011;LI Cangsong, 2010). Therefore, to accurately determine the types of rock and its strength, hardness and abrasion, is the basic work of design and construction of TBM in South-toNorth Water Transfer Project.…”

Section: Introductionmentioning

confidence: 99%

The Thin-section Identification of Rock and Its Grain-size Analysis in The West Route of South-to-North Water Transfer Project

Chang-bin¹,

Liu²

2017

dtmse

View full text Add to dashboard Cite

ABSTRACT:The basic characteristics of rock, such as lithology, strength, hardness and abrasion, are controled by the type, content, and grain-size of minerals in rock. Thin-section identification of rock was carried out with 124 pieces of samples from the West Route of South-to-North Water Transfer Project. The statistic and analysis of mineral composition and grain-size of rock clast were conducted. The statistic distribution curves of grain-size content and grain-size distribution graphs of different grain-size classes of quartz and feldspar clast were obtained according to the statistic analysis results. The categories and characteristics of different rocks were divided and described exactly. The research results show that the rocks in the West Route of South-to-North Water Transfer Project could be divided into three types, which are sandstone and greywacke, siltstone and slate. The grain-size distributions of quartz and feldspar are similar, and all of them are subject to normal distribution. The diameters of main mineral grains are within the level of fine sand size without exception. The percent frequency of grain-size distribution is more than 70%, and there are obvious traction -gravity flow characteristics for grain-size distribution of rock clast. There is relatively similarity in grain-size distribution of rock clast sampled from different regions, which illuminates that the different rocks are formed in the same stable sediment environment. The research results could provide references for optimal design and Tunnel Boring Machine construction in the West Route of South-to-North Water Transfer Project.

show abstract

“…Saffet and Halil (2011) built a model predicting the performance of TBM using particle swarm optimization techniques (PSO). Hassanpour et al (2011) showed that there are strong relationships between geological parameters like joint spacing and RQD, but especially the field penetration index (FPI) and TBM performance parameters.…”

Section: Introductionmentioning

confidence: 99%

Mechanical response of surrounding rock of tunnels constructed with the TBM and drill-blasting method

2012

View full text Add to dashboard Cite

There are two kinds of excavation methods in underground engineering: the tunnel boring machine (TBM) and the drill-blasting method. A large number of studies have shown that the deformation and failure, the degree of disturbance, the stability and the reinforcement measures of surrounding rock using the TBM and drill-blasting method vary from each other. To accurately master these macroscopic damages, it is necessary to focus on the investigation of the micro-mechanical responses of the surrounding rock. Scanning electron microscopy tests, acoustic emission tests and tunnel acoustic detection tests were carried out to analyze the mechanical response of surrounding rock of tunnels, which were excavated in marble by, respectively, the TBM and the drill-blasting method. The tests results showed that most of the rock fractures cut by TBM is wipe along the crystal, and the failure mechanism is mainly cutting, while most of the rock fractures induced by the TBM coincide with crystal planes, its mechanism is mainly tensile. The stress-strain curves of rocks cut by the TBM method are rather flat around the peak strength, which means a strong resistance to deformation around the peak load. The response of AE for the rock cut by the TBM method appears after larger strains than the response of the rock constructed by the drill-blasting method. This suggests that the resistance to damage is higher under TBM excavation conditions. The relaxation depths of the tunnel excavated by the drillblasting method are larger than the tunnel excavated by the TBM method. The research can provide more insight into tunnel failure mechanisms and provide a framework for reinforcement measures.

show abstract

A new hard rock TBM performance prediction model for project planning

Cited by 227 publications

References 6 publications

Regression Models and Fuzzy Logic Prediction of TBM Penetration Rate

Regression Models and Fuzzy Logic Prediction of TBM Penetration Rate

The Thin-section Identification of Rock and Its Grain-size Analysis in The West Route of South-to-North Water Transfer Project

Mechanical response of surrounding rock of tunnels constructed with the TBM and drill-blasting method

Contact Info

Product

Resources

About