A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Numerical Simulation on Energy Concentration and Release Process of Strain Rockburst
Rockburst mechanism has been a hot topic in the stability analysis of underground carven excavation, and the accurate description of energy evolution process is very critical to rockburst prediction. To study the evolution process of rockburst, such as V-shaped rockburst pit, theoretical formula derivation and numerical simulation are adopted to research the dynamic response characteristics during the formation process of rockburst pits quantitatively. The results show that rockburst intensity distribution varies with failure depth. It can be divided into three zone: slow-increase, rapid-increase and slow-decrease. For a circular tunnel with radius R, the strain energy release rate and vibration response of surrounding rock increases gradually within (0–0.06) R; reaches the peak value around (0.06–0.1) R and drops to a balance beyond 0.1R. Due to the same law of them, the rockburst risk can be conveniently predicted by monitoring vibration of surrounding rock with a certain depth. This work is beneficial to provide a good reference for rockburst prediction.
Numerical Simulation on Energy Concentration and Release Process of Strain Rockburst
Rockburst mechanism has been a hot topic in the stability analysis of underground carven excavation, and the accurate description of energy evolution process is very critical to rockburst prediction. To study the evolution process of rockburst, such as V-shaped rockburst pit, theoretical formula derivation and numerical simulation are adopted to research the dynamic response characteristics during the formation process of rockburst pits quantitatively. The results show that rockburst intensity distribution varies with failure depth. It can be divided into three zone: slow-increase, rapid-increase and slow-decrease. For a circular tunnel with radius R, the strain energy release rate and vibration response of surrounding rock increases gradually within (0–0.06) R; reaches the peak value around (0.06–0.1) R and drops to a balance beyond 0.1R. Due to the same law of them, the rockburst risk can be conveniently predicted by monitoring vibration of surrounding rock with a certain depth. This work is beneficial to provide a good reference for rockburst prediction.
Numerical Simulation on Energy Concentration and Release Process of Strain Rockburst
KSCE J Civ Eng
Lu, Ang (author) / Yan, Peng (author) / Lu, Wenbo (author) / Chen, Ming (author) / Wang, Gaohui (author) / Luo, Sheng (author) / Liu, Xiao (author)
KSCE Journal of Civil Engineering ; 25 ; 3835-3842
2021-10-01
8 pages
Article (Journal)
Electronic Resource
English
Numerical simulation method for the process of rockburst
| Elsevier | 2022
Numerical Simulation Study of Catastrophe Process for Structural–Slip Rockburst
| Online Contents | 2023
Geological structure, seismic energy release and forecasting of rockburst occurrence
| British Library Conference Proceedings | 1999
Numerical Simulation Study on the Delay of Rockburst Based on Rock Mass Stress Release Rate
| British Library Conference Proceedings | 2014
Geological Structure, Seismic Energy Release and Forecasting of Rockburst Occurrence
| British Library Conference Proceedings | 2000