Research on spatial prediction technology for mitigating tunnel inrush disasters under complex geological conditions in China’s Hengduan Mountain Range
Abstract The proportion of railway high-altitude buried tunnels in complex and dangerous mountainous areas in southwest China is exceptionally high. With the characteristics of suddenness, intermittency, instantaneousness, and destruction, inrushinrushing and collapse is one of the main risks in the...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-85796-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832594826763173888 |
|---|---|
| author | Yang Zou XiuJun Dong Tao Feng ZhengXuan Xu Hailin He ZhangLei Wu |
| author_facet | Yang Zou XiuJun Dong Tao Feng ZhengXuan Xu Hailin He ZhangLei Wu |
| author_sort | Yang Zou |
| collection | DOAJ |
| description | Abstract The proportion of railway high-altitude buried tunnels in complex and dangerous mountainous areas in southwest China is exceptionally high. With the characteristics of suddenness, intermittency, instantaneousness, and destruction, inrushinrushing and collapse is one of the main risks in the tunnel construction process. Therefore, in the design and construction process of tunnels in Hengduan Mountain area, it is very important to identify the mechanism of sudden s inrushing and collapse risks, predict the spatial location and scale of possible inrushing and collapse, and formulate corresponding tunnel design and construction response measures. In order to achieve the above goals, through extensive exploratory attempts and experiments, it has been found that the use of multi-source information during the survey period can analyze the sources and channels of tunnel water inrushing, as well as the mechanism of water inrushing disasters; By utilizing high-definition images of the excavation surface, ultra deep directional drilling information data, and geophysical 3D attribute information data obtained during tunnel excavation, modeling, coordinate conversion, and 3D integration can be carried out. Various information can be compared and verified with each other, and spatial prediction of potential inrushing and collapse risks in front of the excavation surface can be made, and ultimately response measures for potential or existing surge disasters can be determined. This spatial prediction and analysis method is highly effective and has practical and promotional value. |
| format | Article |
| id | doaj-art-4daee8fb545946a2b5b752be096a6f12 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-4daee8fb545946a2b5b752be096a6f122025-01-19T12:18:57ZengNature PortfolioScientific Reports2045-23222025-01-0115112110.1038/s41598-025-85796-4Research on spatial prediction technology for mitigating tunnel inrush disasters under complex geological conditions in China’s Hengduan Mountain RangeYang Zou0XiuJun Dong1Tao Feng2ZhengXuan Xu3Hailin He4ZhangLei Wu5Chengdu University of TechnologyChengdu University of TechnologyChina Railway Eryuan Engineering Group Co.LtdChina Railway Eryuan Engineering Group Co.LtdThe 1st Geological Brigade of SichuanChengdu Engineering Corporation LimitedAbstract The proportion of railway high-altitude buried tunnels in complex and dangerous mountainous areas in southwest China is exceptionally high. With the characteristics of suddenness, intermittency, instantaneousness, and destruction, inrushinrushing and collapse is one of the main risks in the tunnel construction process. Therefore, in the design and construction process of tunnels in Hengduan Mountain area, it is very important to identify the mechanism of sudden s inrushing and collapse risks, predict the spatial location and scale of possible inrushing and collapse, and formulate corresponding tunnel design and construction response measures. In order to achieve the above goals, through extensive exploratory attempts and experiments, it has been found that the use of multi-source information during the survey period can analyze the sources and channels of tunnel water inrushing, as well as the mechanism of water inrushing disasters; By utilizing high-definition images of the excavation surface, ultra deep directional drilling information data, and geophysical 3D attribute information data obtained during tunnel excavation, modeling, coordinate conversion, and 3D integration can be carried out. Various information can be compared and verified with each other, and spatial prediction of potential inrushing and collapse risks in front of the excavation surface can be made, and ultimately response measures for potential or existing surge disasters can be determined. This spatial prediction and analysis method is highly effective and has practical and promotional value.https://doi.org/10.1038/s41598-025-85796-4Hengduan Mountain RangeInrushing and collapseMulti-source informationSpatial prediction |
| spellingShingle | Yang Zou XiuJun Dong Tao Feng ZhengXuan Xu Hailin He ZhangLei Wu Research on spatial prediction technology for mitigating tunnel inrush disasters under complex geological conditions in China’s Hengduan Mountain Range Scientific Reports Hengduan Mountain Range Inrushing and collapse Multi-source information Spatial prediction |
| title | Research on spatial prediction technology for mitigating tunnel inrush disasters under complex geological conditions in China’s Hengduan Mountain Range |
| title_full | Research on spatial prediction technology for mitigating tunnel inrush disasters under complex geological conditions in China’s Hengduan Mountain Range |
| title_fullStr | Research on spatial prediction technology for mitigating tunnel inrush disasters under complex geological conditions in China’s Hengduan Mountain Range |
| title_full_unstemmed | Research on spatial prediction technology for mitigating tunnel inrush disasters under complex geological conditions in China’s Hengduan Mountain Range |
| title_short | Research on spatial prediction technology for mitigating tunnel inrush disasters under complex geological conditions in China’s Hengduan Mountain Range |
| title_sort | research on spatial prediction technology for mitigating tunnel inrush disasters under complex geological conditions in china s hengduan mountain range |
| topic | Hengduan Mountain Range Inrushing and collapse Multi-source information Spatial prediction |
| url | https://doi.org/10.1038/s41598-025-85796-4 |
| work_keys_str_mv | AT yangzou researchonspatialpredictiontechnologyformitigatingtunnelinrushdisastersundercomplexgeologicalconditionsinchinashengduanmountainrange AT xiujundong researchonspatialpredictiontechnologyformitigatingtunnelinrushdisastersundercomplexgeologicalconditionsinchinashengduanmountainrange AT taofeng researchonspatialpredictiontechnologyformitigatingtunnelinrushdisastersundercomplexgeologicalconditionsinchinashengduanmountainrange AT zhengxuanxu researchonspatialpredictiontechnologyformitigatingtunnelinrushdisastersundercomplexgeologicalconditionsinchinashengduanmountainrange AT hailinhe researchonspatialpredictiontechnologyformitigatingtunnelinrushdisastersundercomplexgeologicalconditionsinchinashengduanmountainrange AT zhangleiwu researchonspatialpredictiontechnologyformitigatingtunnelinrushdisastersundercomplexgeologicalconditionsinchinashengduanmountainrange |