Factors influencing overbreak volumes in drill-and-blast tunnel excavation. A statistical analysis applied to the case study of the Brenner Base Tunnel – BBT

Foderà, G.M.; Voza, A.; Barovero, G.; Tinti, Francesco; Boldini, Daniela

doi:10.1016/j.tust.2020.103475

Cited by 44 publications

(22 citation statements)

References 21 publications

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“…From the above analysis, the theoretical maximum vibration velocity is 13.59 mm/s and the minimum value vibration velocity is 2.87 mm/s. It can be seen from equation (3), under the premise of determining the distance and shock wave propagation medium, that the size of particle vibration velocity is only related to the charge mass. As seen from Figure 7, the maximum vibration velocity of the same particle in three blasts was 1.33, 1.13, and 1.09 mm/s, respectively.…”

Section: Attenuation Analysis Of Vibration Velocitymentioning

confidence: 99%

“…At present, the blasting technology still occupies an important position in the construction of various underground engineering and the demolition of various buildings. Particularly in sections where the tunnel length is short and the surrounding rock is relatively broken, the blasting technology can speed up construction, increase production efficiency, and produce significant economic and social benefits [1][2][3]. However, the secondary disasters caused by the blasting operations, especially the effects of blasting vibration, will bring certain problems to the local environment and residents' lives.…”

Section: Introductionmentioning

confidence: 99%

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Controlling Vibration Speed in Tunnel Excavation Using Fine Blasting Method under Complex Environmental Conditions

Zhang

Wang

et al. 2021

Shock and Vibration

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It is very important to reduce the impact of blasting vibration on the surrounding structures during the tunnel drilling-blasting excavation. Taking the diversion tunnel of the urban water supply project in Zhumadian, Henan Province, China, as an example, the segmentation linear function between the drilling rig and borehole depth was established by fining blasting design. The test of the blasting number and particle vibration velocity was designed. The propagation and attenuation characteristics of blast vibration velocity in the surrounding rocks of the tunnel were analyzed by using theoretical calculation and field monitoring methods. Results show that the fine blasting design can realize the superposition of negative phase of shock waveform to reduce the vibration speed. With the increase of the blasting number, the attenuation of the particle vibration velocity shows a negative exponential function, and the dimensionless vibration velocity loss increases in a power function. The greater the loss, the greater the energy loss during the shock wave propagation process, which is more conducive to ensuring the stability of the protected buildings. The research results can provide the reference for similar engineering practices.

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Section: Attenuation Analysis Of Vibration Velocitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Controlling Vibration Speed in Tunnel Excavation Using Fine Blasting Method under Complex Environmental Conditions

Zhang

Wang

et al. 2021

Shock and Vibration

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“…However, the proposed control index does not form a system, the actual smooth blasting control process is greatly influenced by human subjectivity, and the accuracy and reliability of the control is poor. Numerous domestic scholars have also conducted extensive research on the tunnel smooth blasting quality control, which mainly involves the repeated test and optimization of blasting parameters [1][2][3][4][5][6][7][8][9][10][11][12], neural network models [13,14], mutation comprehensive evaluation theory [15], computer simulation [16,17], information construction [18,19], three-dimensional laser scanning [20], and other technologies, thereby proposing a reasonable control technology. However, no unified system exists for studying the tunnel smooth blasting control index, control criterion, and control method.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Control of Smooth Blasting Quality in Rock Tunnels Using BP-ANN, ENN, and ANFIS

et al. 2021

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The construction quality of tunnel smooth blasting is difficult to control and fluctuates greatly. Moreover, the existing technology, which relies on the visual observation, empirical judgment, and artificial control, has difficulty meeting the requirements of tunnel smooth blasting construction quality control. This paper presents the construction principle of a tunnel smooth blasting quality control system, introduces a process quality control technology into quality control of tunnel smooth blasting construction, designs a framework for the tunnel smooth blasting quality control system, and collects control index data based on field investigation, expert consultation, and experimental research. By using the methods of index utilization rate statistics, gray correlation analysis, and principal component analysis, this paper primarily elects and selects the control indexes; establishes the tunnel smooth blasting quality control index system; constructs a comprehensive optimization control model of tunnel smooth blasting quality using back propagation artificial neural network (BP-ANN), Elman neural network (ENN), and adaptive neuro fuzzy inference systems (ANFIS); and studies the tunnel smooth blasting quality control system. The following are the conclusions of this study: (1) This paper presented a method of constructing a tunnel smooth blasting quality control index system and established this system with seven criteria layers, namely, geological conditions, explosive properties, borehole parameters, charge parameters, method of initiation, tunnel parameters, and construction factors, as well as a total of nine indexes. (2) The comprehensive optimization control model of BP-ANN, ANFIS, and ENN for tunnel smooth blasting quality was established. (3) The uniform design method was used to optimize the blasting parameters of the tunnel section, which needs to be controlled, and verify that the construction of these comprehensive optimization control models can change the focus of tunnel smooth blasting quality control from the traditional single index control method into a dynamic, intelligent, pluralistic, and integrated control technology.

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“…To date, drilling-blasting is still the main excavation method for constructing tunnels, mines, underground hydropower stations, and other underground spaces. Researchers continue to study blasting safety during construction (Jiang et al, 2020;Foderà et al, 2020;. With rapid developments in the scale and buried depth of underground excavation (Duan et al, 2017;Feng et al, 2019), the construction of a large number of underground caverns has been commenced successively, and the associated difficulties in blasting excavation construction and vibration prediction control of upright high sidewalls have been increasing (Zareifard, 2020;Sakai et al, 2020;Iwano et al, 2020;Han et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

PPV Distribution of Sidewalls Induced by Underground Cavern Blasting Excavation

Luo

Wei

Huang

et al. 2021

Preprint

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The peak particle velocity (PPV) is an important indicator for predicting blasting excavation disturbances. However, the PPV distribution in the deep underground space is significantly different from that on the outdoor ground. Therefore, it is difficult to predict the underground PPV by Sadovsky’s vibration formula. The PPV sidewall distribution characteristics were studied during site blasting in an underground cavern in the Taohuazui Mine in China, and a similar numerical model was used to verify the site test data. We derived a PPV prediction formula for the underground cavern sidewall surrounding rock using a mechanical analysis model of a simply supported plate and beam in combination with dimensional analysis. The model considered derived boundary constraints, comparison with site measured data, the value predicted by Sadovsky’s vibration formula, and numerical simulation results. The results showed that the PPV distribution on the middle 1/3 section of the underground cavern sidewall showed a “platform” or “bulge” different from the curve from Sadovsky’s vibration formula. The PPV amplification coefficient in this section was distributed in a drum shape. The PPV prediction formula for the middle section of the sidewall derived in this paper was highly consistent with the data measured on-site and the numerical simulation results. The mechanical analysis model with a simply supported plate and beam included an underground cavern sidewall length-height ratio of 5 and effectively supplemented the PPV prediction formula for the middle section of the traditional underground cavern sidewall.

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Factors influencing overbreak volumes in drill-and-blast tunnel excavation. A statistical analysis applied to the case study of the Brenner Base Tunnel – BBT

Cited by 44 publications

References 21 publications

Controlling Vibration Speed in Tunnel Excavation Using Fine Blasting Method under Complex Environmental Conditions

Controlling Vibration Speed in Tunnel Excavation Using Fine Blasting Method under Complex Environmental Conditions

Intelligent Control of Smooth Blasting Quality in Rock Tunnels Using BP-ANN, ENN, and ANFIS

PPV Distribution of Sidewalls Induced by Underground Cavern Blasting Excavation

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