A Novel Closed‐Form Solution for Circular Openings in Generalized Hoek‐Brown Media

Meng, Qingyong; Wang, Wei

doi:10.1155/2014/870835

Cited by 14 publications

(8 citation statements)

References 16 publications

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“…For the short anchor cable, the combined arch effect of the surrounding rock was utilized, to transform the surrounding rock into a uniform stress-bearing arch through multiple groups of anchor cables [38]. For the long anchor cable, the theory of suspension was utilized, to form a stress-strengthening arch through the stress-bearing arch through suspension, to resist the deformation of surrounding rock.…”

Section: Monitoring Results Of the Deep Displacement Of Thementioning

confidence: 99%

Frame Structure and Engineering Applications of the Multisource System Cloud Service Platform of Monitoring of the Soft Rock Tunnel

et al. 2021

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Throughout engineering construction, large deformation disasters in soft rock tunnels are encountered increasingly frequently. Therefore, structural health monitoring not only ensures accurate construction management but also provides a basis for dynamic adjustment of the support structure. The existing monitoring technology has certain shortcomings, such as poor anti-interference ability, non-real-time operation, and great security risks. Consequently, high-precision real-time monitoring has become a key scientific issue in tunnel engineering. For this work, multisource information fusion technology was adopted, while data security reserve systems, such as cloud server (ECS) based on the fiber Bragg grating multisource sensing system, cloud database (RDS), and cloud website, were embedded into the No. 2 inclined shaft of the Muzhailing tunnel. Based on the negative Poisson’s ratio (NPR) anchor cable control technology for large deformation of the soft rock in the No. 2 inclined shaft of the Muzhailing tunnel, reasonable and effective intelligent monitoring was carried out for tunnel construction. Monitoring and early warning cloud service platforms, based on the Internet of Things and cloud technology, could quickly produce query and statistic tunnel monitoring information. The monitoring system provided the collection, transmission, storage, processing, and early warning information sending of data, such as NPR anchor cable axial force, steel arch stress, deep surrounding rock displacement, surrounding rock deformation, and contact pressure between primary support with secondary lining. This monitoring system ensured construction safety and provided monitoring application case support for the related problems of similar projects.

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Section: Monitoring Results Of the Deep Displacement Of Thementioning

confidence: 99%

Frame Structure and Engineering Applications of the Multisource System Cloud Service Platform of Monitoring of the Soft Rock Tunnel

et al. 2021

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“…The quality control index of tunnel smooth blasting used in foreign engineering cases is analyzed statistically [5,6,[33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48], as shown in Figure 22. The figure shows that the index adoption rate of charge noncoupling coefficient is 10%, the index adoption rate of neighboring eyes spacing is 100%, the index adoption rate of neighboring eyes minimum resistance line is 100%, the index adoption rate of relative distance is 30%, the adoption rate of linear charge density is 100%, the adoption rate of borehole depth is 40%, the 9 Geofluids adoption rate of rock category is 100%, and the adoption rate of measuring and setting out is 30%.…”

Section: Collection Of Existing Engineeringmentioning

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, most geotechnical engineering software is compiled based on the Mohr Coulomb criterion in which the strength of the rock mass is characterized by the cohesion c and internal friction angle φ. In view of this situation, Hoek proposed the corresponding rock mass strength estimation method in 2002 [49][50][51]. In this study, based on this 5 Geofluids criterion, the strength parameters of the high rock slope in this area were estimated and analyzed.…”

Section: Transformation Of Physical and Mechanicalmentioning

confidence: 99%

Discrete Element Simulation Analysis of the Bending and Toppling Failure Mechanisms of High Rock Slopes

et al. 2021

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The high rock slope situated in the Southwest stope of Taiping Mining, Inner Mongolia, is subject to dumping failure due to its instability. The dumping body rock layer of this stope shows obvious bending and lowering of the head. The overturning angle of the rock strata can reach 46°, and tension dislocation along the rock joint can be observed in exposed sections and at the bedding and lithologic interface. The sliding surface also displays a broken line morphology. Through evaluation of regional rock integrity parameters and rock soft and hard parameters, rock-mass strength based on Hoek Brown strength estimation criteria can be developed. Based on the discrete element method, the geological model of layered excavation of the thin layer slope can be constructed. Combined with indoor and outdoor assessments, the characteristics of toppling deformation of the thin layer open-air slope can be studied and summarized. In this study, simulation analysis showed that under first excavation conditions, a crack-, dump-, and antislip zone was formed. The rock in the crack zone formed a “<”-shaped fracture along the slope surface that was squeezed towards the bottom of the slope. In the lower dumping area, the deflection angle gradually increased with excavation, and the deformation range and levels in the antislip area increased with excavation. Following the third excavation, the antisliding zone disappeared and the toppling line changed from a broken line to a straight line. In the final state, the slope collapsed as a whole, with the collapse of the dumping body penetrating the top to the foot of the slope.

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A Novel Closed‐Form Solution for Circular Openings in Generalized Hoek‐Brown Media

Cited by 14 publications

References 16 publications

Frame Structure and Engineering Applications of the Multisource System Cloud Service Platform of Monitoring of the Soft Rock Tunnel

Frame Structure and Engineering Applications of the Multisource System Cloud Service Platform of Monitoring of the Soft Rock Tunnel

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

Discrete Element Simulation Analysis of the Bending and Toppling Failure Mechanisms of High Rock Slopes

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