Uncertainty quantification of rock mass discontinuity information and mechanical parameter derived from photogrammetry and Monte Carlo simulation: A case study
The uncertainty of rock mass mechanical parameters primarily stems from the inherent inhomogeneity of rock mass materials and discontinuities. Traditional deterministic methods often overlook this uncertainty, potentially impacting overall design performance. To address this issue, the study introdu...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-12-01
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| Series: | Results in Earth Sciences |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211714825000020 |
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| author | Xiaoyu Yi Wenkai Feng Yongjian Zhou Wenxuan Wu Jiachen Zhao |
| author_facet | Xiaoyu Yi Wenkai Feng Yongjian Zhou Wenxuan Wu Jiachen Zhao |
| author_sort | Xiaoyu Yi |
| collection | DOAJ |
| description | The uncertainty of rock mass mechanical parameters primarily stems from the inherent inhomogeneity of rock mass materials and discontinuities. Traditional deterministic methods often overlook this uncertainty, potentially impacting overall design performance. To address this issue, the study introduces an uncertainty analysis framework based on Monte Carlo simulation (MCS). This framework probabilistically quantifies the Geological Strength Index (GSI) system by utilizing the digital characterization of rock mass discontinuity information derived from photogrammetry technology, and subsequently evaluates the uncertainty of rock mass mechanical parameters. The analytical framework was applied to assess the mechanical properties of the surrounding rock in an underground powerhouse located in Henan Province, China. The results demonstrate that the proposed framework is effective in evaluating these properties and provides valuable insights for the probabilistic assessment of excavation response and support measures in underground engineering. |
| format | Article |
| id | doaj-art-2a5c905363ca4ba7a9ae322ae0453a5a |
| institution | Kabale University |
| issn | 2211-7148 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Earth Sciences |
| spelling | doaj-art-2a5c905363ca4ba7a9ae322ae0453a5a2025-01-27T04:21:54ZengElsevierResults in Earth Sciences2211-71482025-12-013100060Uncertainty quantification of rock mass discontinuity information and mechanical parameter derived from photogrammetry and Monte Carlo simulation: A case studyXiaoyu Yi0Wenkai Feng1Yongjian Zhou2Wenxuan Wu3Jiachen Zhao4State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China; College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, ChinaState Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China; College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, China; Corresponding author at: State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China.College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, ChinaCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, ChinaCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, ChinaThe uncertainty of rock mass mechanical parameters primarily stems from the inherent inhomogeneity of rock mass materials and discontinuities. Traditional deterministic methods often overlook this uncertainty, potentially impacting overall design performance. To address this issue, the study introduces an uncertainty analysis framework based on Monte Carlo simulation (MCS). This framework probabilistically quantifies the Geological Strength Index (GSI) system by utilizing the digital characterization of rock mass discontinuity information derived from photogrammetry technology, and subsequently evaluates the uncertainty of rock mass mechanical parameters. The analytical framework was applied to assess the mechanical properties of the surrounding rock in an underground powerhouse located in Henan Province, China. The results demonstrate that the proposed framework is effective in evaluating these properties and provides valuable insights for the probabilistic assessment of excavation response and support measures in underground engineering.http://www.sciencedirect.com/science/article/pii/S2211714825000020PhotogrammetryDigital characterization of rock massProbablistic GSI-systemMonte Carlo simulation (MCS)Uncertainty analysis |
| spellingShingle | Xiaoyu Yi Wenkai Feng Yongjian Zhou Wenxuan Wu Jiachen Zhao Uncertainty quantification of rock mass discontinuity information and mechanical parameter derived from photogrammetry and Monte Carlo simulation: A case study Results in Earth Sciences Photogrammetry Digital characterization of rock mass Probablistic GSI-system Monte Carlo simulation (MCS) Uncertainty analysis |
| title | Uncertainty quantification of rock mass discontinuity information and mechanical parameter derived from photogrammetry and Monte Carlo simulation: A case study |
| title_full | Uncertainty quantification of rock mass discontinuity information and mechanical parameter derived from photogrammetry and Monte Carlo simulation: A case study |
| title_fullStr | Uncertainty quantification of rock mass discontinuity information and mechanical parameter derived from photogrammetry and Monte Carlo simulation: A case study |
| title_full_unstemmed | Uncertainty quantification of rock mass discontinuity information and mechanical parameter derived from photogrammetry and Monte Carlo simulation: A case study |
| title_short | Uncertainty quantification of rock mass discontinuity information and mechanical parameter derived from photogrammetry and Monte Carlo simulation: A case study |
| title_sort | uncertainty quantification of rock mass discontinuity information and mechanical parameter derived from photogrammetry and monte carlo simulation a case study |
| topic | Photogrammetry Digital characterization of rock mass Probablistic GSI-system Monte Carlo simulation (MCS) Uncertainty analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2211714825000020 |
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