A case study of TBM performance prediction using a Chinese rock mass classification system – Hydropower Classification (HC) method

Liu, Quansheng; Liu, Jianping; Pan, Yucong; Kong, Xiaoxuan; Hong, Kairong

doi:10.1016/j.tust.2017.03.002

Cited by 100 publications

(18 citation statements)

References 40 publications

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“…The wave velocity of the rock mass can be identified through acoustic test methods such as the single-hole method, cross-hole method, and hammering method [22]. As the acoustic test results are significantly influenced by drilling direction, the cross-hole method was conducted to determine the p-wave velocity of rock mass in the study area and the typical results are given in Figure 6.…”

Section: Geology Investigation Of the Underground Powerhousementioning

confidence: 99%

Geotechnical Investigations and Support Design for an Underground Powerhouse of Pumped-Storage Power Station: A Case Study in Chongqing, China

Zhang

Zheng

2022

Sustainability

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This study assesses the efficiency of the empirically recommended supported design of the underground powerhouse of the Panlong pumped-storage power station in Chongqing, China by using 3D distinct element code (3DEC). Field and laboratory tests were conducted to investigate the geological properties of intact rock and rock mass. The results showed that the stability of the large powerhouse may be controlled by the soft rock (mudstone) layers. The rock mass was classified in terms of the Q classification system, basic quality (BQ) method, and hydropower classification (HC) method, and then the supported system was put forward. The efficiency of the designed supported was checked based on the numerical simulation results of deformation and plastic zone. The results showed that the installed support reduces the radius of the plastic zones and the maximum deformation significantly.

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Section: Geology Investigation Of the Underground Powerhousementioning

confidence: 99%

Geotechnical Investigations and Support Design for an Underground Powerhouse of Pumped-Storage Power Station: A Case Study in Chongqing, China

Zhang

Zheng

2022

Sustainability

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“…In this study, the rock mass geomechanical RMR value is converted into Barton's Q value using the basic rock mass quality index BQ value, the empirical conversion formula of the rock mass geomechanical RMR value [37], the Barton rock mass quality Q value given by Barton considering joint orientation, and the rock mass geomechanical RMR value [38]. en, the Barton-modified Q′' value of the rock mass was solved.…”

Section: Acquisition Of Rock Parametersmentioning

confidence: 99%

A Large Goaf Group Treatment by means of Mine Backfill Technology

Jia

Yan

Yilmaz

2021

Advances in Civil Engineering

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There are few studies on the management methods of large-scale goaf groups per the specific surrounding rock mass conditions of each goaf. This paper evaluates comprehensively the stability of the multistage large-scale goaf group in a Pb-Zn mine in Inner Mongolia, China, via the modified Mathews stability diagram technique. The volume of each goaf to be backfilled was quantitatively analyzed in the combination of theoretical analysis and three-dimensional laser scanning technology. The corresponding mechanical characteristics of the filling were determined by laboratory testing while formulating the treatment scheme of the large goaf group using the backfill method. The applicability of the treatment scheme using the backfill was verified by the combination of the numerical results of the distribution of the surrounding rock failure zone and the monitored data of the surface subsidence. The research results and treatment scheme using the backfill can provide a reference for similar conditions of mines worldwide.

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“…To be simple, detailed evaluation procedures and criterions could be referenced [5,7,[63][64][65][66][67][68]. Besides, all the correction factors of BQ method and the stress reduction factor of Q-system method could be calculated and analyzed by interval-number mathematics.…”

Section: Membership Probability Calculationmentioning

confidence: 99%

“…at is, groundwater condition A w can be determined by groundwater quantity, groundwater pressure, and seepage condition. For the sake of simplicity, some literature [6,64,77] can be referenced for more details. Since most of the burial depth of Laohushan tunnel is 20-60 m, the in situ stress would not be considered here.…”

Section: Selection Of Evaluation Indicesmentioning

confidence: 99%

Gaussian Process Model of Surrounding Rock Classification Based on Digital Characterization of Rock Mass Structure and Its Application

Sun

Wang

et al. 2020

Mathematical Problems in Engineering

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As the important data basis of surrounding rock classification, rock mass structural information obtained by traditional image processing and feature extraction algorithms could not be quantitatively analyzed because of the uncertainty and geometric randomness of structural planes. In this paper, based on straight line detection, intelligent scissors, and morphological edge detection algorithms, the multiple interpretation system of rock mass image including linear bunching extraction, magnetic tracking extraction, and multiparameter characterization was researched and developed, and the actual distribution information and the related probability distribution model of structural planes could be obtained directly. On the basis of this, plenty of corresponding random rating-values meeting the probability distribution models of these evaluation indices were gained by Monte Carlo Simulation. The distribution probability affiliated with different rock mass grade was attained by inductive statistics, and the robust evaluation of surrounding rock classification could be carried out. Taking the robust results as learning samples, the response model of surrounding rock grade based on Gaussian process classification was established, making the evaluation of surrounding rock subclassification more rapid and robust.

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A case study of TBM performance prediction using a Chinese rock mass classification system – Hydropower Classification (HC) method

Cited by 100 publications

References 40 publications

Geotechnical Investigations and Support Design for an Underground Powerhouse of Pumped-Storage Power Station: A Case Study in Chongqing, China

Geotechnical Investigations and Support Design for an Underground Powerhouse of Pumped-Storage Power Station: A Case Study in Chongqing, China

A Large Goaf Group Treatment by means of Mine Backfill Technology

Gaussian Process Model of Surrounding Rock Classification Based on Digital Characterization of Rock Mass Structure and Its Application

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