Safety Evaluation of Anchoring-Grouting Rock-Support Interaction in Deep Underground Excavation Based on Support Vector Machine Learning

Safety Evaluation of Anchoring-Grouting Rock-Support Interaction in Deep Underground Excavation Based on Support Vector Machine Learning

This paper aims to propose a probabilistic approach to evaluate tunnel safety considering anchoring-grouting effect and arch failure mechanism based on mechanical analysis, machine learning and reliability calculation. Cohesion and internal friction angle of rock mass influenced by grouting, bolt pr...

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Bibliographic Details
Published in:Iranian journal of science and technology. Transactions of civil engineering 2022-10, Vol.46 (5), p.3805-3817
Main Authors: Lu, Wei, Wang, Lei, Song, Kezhi, Sun, Huibin, Chen, Dongmei
Format: Article
Language:eng
Subjects:
Arches
Buckling
Civil Engineering
Engineering
Excavation
Failure analysis
Failure mechanisms
Grouting
Internal friction
Learning algorithms
Machine learning
Mathematical models
Mechanical analysis
Mohr-Coulomb theory
Reliability analysis
Reliability engineering
Research Paper
Rock masses
Rocks
Safety
Safety engineering
Statistical analysis
Support vector machines
Tunnel construction
Tunnel supports
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Summary:This paper aims to propose a probabilistic approach to evaluate tunnel safety considering anchoring-grouting effect and arch failure mechanism based on mechanical analysis, machine learning and reliability calculation. Cohesion and internal friction angle of rock mass influenced by grouting, bolt preload and bolt layout are deduced based on Mohr–Coulomb criterion. Test inversion analysis has achieved promising results. Hence, the coupling model of reinforced and unreinforced rock mass is constructed to obtain the ground reaction curve. The support characteristic curve of different kinds of supporting arches are investigated based on numerical simulation which highlights the influence of structural buckling. Thereafter, a case study based on a deep tunnel in loosening rock mass is investigated to study the rock-support interaction and to evaluate engineering reliability. The research results provide insights into the design of tunnel support schemes through the viewpoint of convergence-confinement method and statistical analysis, which provides basis for safety design in tunnel excavation.
ISSN:2228-6160
2364-1843