The occurrence of rockbursts is closely related to the stress environment and structural characteristics of rock mass. The Lalin Railway Tunnel in China was taken as a case study, a modified method for evaluating rockburst grades was proposed based on the ratio of rock mass strength to maximum tangential stress at the tunnel wall, and the accuracy of this method was also validated. Furthermore, a three-dimensional numerical model of tunnel excavation was established using FLAC (three-dimensional fast lagrangian analysis of continua). The rockburst grade of different locations (vault, arch waist and arch bottom) of the tunnel was then evaluated by using the modified method of rockburst grade evaluation. It shows that the modified method of rockburst grade evaluation has relatively high accuracy, and the evaluated results are in good agreement with the actual rockburst grades; The ratio of rock mass strength to maximum tangential stress of tunnel wall is greater than 0.0905, 0.0892 ~ 0.0905, 0.0300 ~ 0.0892, 0.0500 ~ 0.0300 and less than 0.0500 for no, slight, medium, strong and violent rockburst, respectively; when the distance between the monitoring section and the tunnel working face is less than 20 m, the surrounding rock is obviously affected by tunnel excavation activities and the risk of rockburst is relatively large; for tunnels with horizontal structural stress, the risk of rockburst in the surrounding rock of the arch is often higher than that of the waist and bottom of the arch. The results presented herein may provide reference for the evaluation of rockburst grade and the formulation of prevention and control measures.
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http://dx.doi.org/10.1038/s41598-025-91703-8 | DOI Listing |
Sci Rep
March 2025
School of Architectural Engineering, Xuchang Vocational Technical College, Xuchang, 461000, China.
The occurrence of rockbursts is closely related to the stress environment and structural characteristics of rock mass. The Lalin Railway Tunnel in China was taken as a case study, a modified method for evaluating rockburst grades was proposed based on the ratio of rock mass strength to maximum tangential stress at the tunnel wall, and the accuracy of this method was also validated. Furthermore, a three-dimensional numerical model of tunnel excavation was established using FLAC (three-dimensional fast lagrangian analysis of continua).
View Article and Find Full Text PDFHeliyon
March 2024
Department of Civil Engineering, Shanghai University, Shanghai, 200444, China.
In order to investigate the acoustic emission (AE) features of rocks in different (medium and strong) rockburst areas, the Sangzhuling Railway Tunnel granite in China was taken as an example, the mineral composition of rocks in different rockburst areas was analyzed by using XRD (X-ray diffraction) method. The Original rock cores of different rockburst areas were processed into standard rock specimens (diameter 50 mm, height 100 mm) in different directions (transverse, oblique and longitudinal). AE feature parameters (event number, ringing count and energy) of standard rock specimens during indoor uniaxial compression test were obtained by using AE technique.
View Article and Find Full Text PDFMaterials (Basel)
April 2023
School of Geosciences and Info-Physics, Central South University, Changsha 410083, China.
Rockburst is one of the common geological hazards. It is of great significance to study the evaluation indexes and classification criteria of the bursting liability of hard rocks, which is important for the prediction and prevention of rockbursts in hard rocks. In this study, the evaluation of the rockburst tendency was conducted using two indoor non-energy indexes, namely the brittleness indicator (2) and the strength decrease rate ().
View Article and Find Full Text PDFPLoS One
February 2020
School of Resource and Safety Engineering, Central South University, Changsha, Hunan, China.
Rockburst is a common dynamic disaster in deep underground engineering. To accurately predict rockburst intensity grade, this study proposes a novel rockburst prediction model based on variable weight and matter-element extension theory. In the proposed model, variable weight theory is used to optimize the weights of prediction indexes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!