Study on the simulation of bridge deformation in a mining subsidence area
Abstract Bridges in mining areas deform primarily because of surface subsidence caused by underground mining. Analysis of these deformations should consider the synergistic effects between the foundation soil and the bridge superstructure. The geology of mining areas, which is inherently complex, si...
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/s41598-024-84220-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841559655030980608 |
|---|---|
| author | Chi Zhang Kan Wu Shengxiang Huang Lingai Li Xiaokang Rao |
| author_facet | Chi Zhang Kan Wu Shengxiang Huang Lingai Li Xiaokang Rao |
| author_sort | Chi Zhang |
| collection | DOAJ |
| description | Abstract Bridges in mining areas deform primarily because of surface subsidence caused by underground mining. Analysis of these deformations should consider the synergistic effects between the foundation soil and the bridge superstructure. The geology of mining areas, which is inherently complex, significantly effects the selection of soil mechanics parameters, potentially leading to errors in model calculations. This study focuses on the bridge in the Fengfeng mining area of Handan, Hebei, and uses the probabilistic integral method to predict subsidence at the bottom section below the surface over a specified period. A finite element model of the bridge and foundation soil is constructed, utilising these predicted subsidence contour lines as boundary conditions for simulating the surrounding surface subsidence. Additionally, monitoring data of surface and bridge subsidence from the same period are collected to validate the simulation accuracy, analyse error types and causes, and propose model improvements. After the feasibility of the improvement schemes is validated, the revised model is employed to predict the bridge failure trend. The model parameters can be adjusted based on surface subsidence monitoring data, and by integrating these adjustments with the predicted subsidence results at the bottom section during various mining stages, the bridge failure trend can be accurately predicted. |
| format | Article |
| id | doaj-art-47b77204955e478abf36e29eac46ea06 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-47b77204955e478abf36e29eac46ea062025-01-05T12:18:01ZengNature PortfolioScientific Reports2045-23222025-01-0115111510.1038/s41598-024-84220-7Study on the simulation of bridge deformation in a mining subsidence areaChi Zhang0Kan Wu1Shengxiang Huang2Lingai Li3Xiaokang Rao4School of Geodesy and Geomatics, Wuhan UniversitySchool of Environment and Spatial informatics, China University of Mining and TechnologySchool of Geodesy and Geomatics, Wuhan UniversitySchool of Geodesy and Geomatics, Wuhan UniversitySchool of Geodesy and Geomatics, Wuhan UniversityAbstract Bridges in mining areas deform primarily because of surface subsidence caused by underground mining. Analysis of these deformations should consider the synergistic effects between the foundation soil and the bridge superstructure. The geology of mining areas, which is inherently complex, significantly effects the selection of soil mechanics parameters, potentially leading to errors in model calculations. This study focuses on the bridge in the Fengfeng mining area of Handan, Hebei, and uses the probabilistic integral method to predict subsidence at the bottom section below the surface over a specified period. A finite element model of the bridge and foundation soil is constructed, utilising these predicted subsidence contour lines as boundary conditions for simulating the surrounding surface subsidence. Additionally, monitoring data of surface and bridge subsidence from the same period are collected to validate the simulation accuracy, analyse error types and causes, and propose model improvements. After the feasibility of the improvement schemes is validated, the revised model is employed to predict the bridge failure trend. The model parameters can be adjusted based on surface subsidence monitoring data, and by integrating these adjustments with the predicted subsidence results at the bottom section during various mining stages, the bridge failure trend can be accurately predicted.https://doi.org/10.1038/s41598-024-84220-7Deformation monitoringPoint cloudNumerical simulationBoundary conditionBulk modulus |
| spellingShingle | Chi Zhang Kan Wu Shengxiang Huang Lingai Li Xiaokang Rao Study on the simulation of bridge deformation in a mining subsidence area Scientific Reports Deformation monitoring Point cloud Numerical simulation Boundary condition Bulk modulus |
| title | Study on the simulation of bridge deformation in a mining subsidence area |
| title_full | Study on the simulation of bridge deformation in a mining subsidence area |
| title_fullStr | Study on the simulation of bridge deformation in a mining subsidence area |
| title_full_unstemmed | Study on the simulation of bridge deformation in a mining subsidence area |
| title_short | Study on the simulation of bridge deformation in a mining subsidence area |
| title_sort | study on the simulation of bridge deformation in a mining subsidence area |
| topic | Deformation monitoring Point cloud Numerical simulation Boundary condition Bulk modulus |
| url | https://doi.org/10.1038/s41598-024-84220-7 |
| work_keys_str_mv | AT chizhang studyonthesimulationofbridgedeformationinaminingsubsidencearea AT kanwu studyonthesimulationofbridgedeformationinaminingsubsidencearea AT shengxianghuang studyonthesimulationofbridgedeformationinaminingsubsidencearea AT lingaili studyonthesimulationofbridgedeformationinaminingsubsidencearea AT xiaokangrao studyonthesimulationofbridgedeformationinaminingsubsidencearea |