Quantitative Risk Analysis of Tunnel Instability in Layered Rock Mass Considering the Spatial Variability of Elastic Modulus Article Swipe
Dongfang Chen
,
Mingzhao Liu
,
Shaojun Li
,
Dingping Xu
,
Zhigang Yan
,
Guoshao Su
,
Chaoxiang Li
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1088/1755-1315/861/4/042009
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1088/1755-1315/861/4/042009
Layered rock mass is a typical excavation disturbance sensitive rock mass, which is prone to the large deformation and collapse of soft rock mass under tunnel unloading. This in turn causes the construction safety risk and delays the project construction. As the spatial variability of rock mechanics parameters existed widely, which could make the deterministic calculation results cannot really reflect the safety reserve of the rock mass by supports. Therefore, considering the spatial variability of elastic modulus of layered rock mass for study the risk of tunnel instability both has the theoretical and practical significance. According to the transverse anisotropy characteristics of layered rock mass in Baokang tunnel, China, elastic wave velocities were determined by the acoustic test method at different broken surrounding rock mass. Meanwhile, the elastic modulus was converted into the elastic modulus based on theoretical formula, and a database of the elastic modulus was set up. Using the variograms model of geostatistics, the autocorrelation distances of elastic modulus along the strike and dip of rock strata were determined, respectively. Furthermore, a two-dimensional parameter random field which can characterize the spatial variability of elastic modulus of layered rock mass was constructed by the Karhunen-Loève (K-L) expansion method. Taking the standard value of tunnel allowable deformation as the evaluation index, the limit state equation of tunnel allowable deformation in the soft rock was established. Finally, considering the spatial variability of elastic modulus of layered rock mass, a quantitative risk analysis of surrounding rock instability was realized by the Monte Carlo method and numerical simulation method. The engineering example shows that, this quantitative risk analysis method can effectively evaluate the safety state of the surrounding rock mass, and it can provide a theoretical guidance and technical support for the tunnel construction. This work could provide a reference for other layered rock mass tunnel construction.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1755-1315/861/4/042009
- OA Status
- diamond
- Cited By
- 2
- References
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3208110551
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- OpenAlex ID
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https://openalex.org/W3208110551Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1755-1315/861/4/042009Digital Object Identifier
- Title
-
Quantitative Risk Analysis of Tunnel Instability in Layered Rock Mass Considering the Spatial Variability of Elastic ModulusWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-10-01Full publication date if available
- Authors
-
Dongfang Chen, Mingzhao Liu, Shaojun Li, Dingping Xu, Zhigang Yan, Guoshao Su, Chaoxiang LiList of authors in order
- Landing page
-
https://doi.org/10.1088/1755-1315/861/4/042009Publisher landing page
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1088/1755-1315/861/4/042009Direct OA link when available
- Concepts
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Rock mass classification, Elastic modulus, Geotechnical engineering, Geology, Geological Strength Index, Instability, Rock mechanics, Modulus, Deformation (meteorology), Anisotropy, Materials science, Mechanics, Physics, Composite material, Oceanography, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2025: 1, 2022: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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