Joint Investigation and 3D Visual Evaluation of Rock Mass Quality
In order to realize the high efficiency quality classification and three-dimensional visualization of engineering rock mass and to solve the technical difficulties of the traditional rock mass quality evaluation method such as high labor intensity, long process time consumption, many intervention pr...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/8858322 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832565845855830016 |
|---|---|
| author | Haiping Yuan Chenghao Chen Yixian Wang Hanbing Bian Yan Liu |
| author_facet | Haiping Yuan Chenghao Chen Yixian Wang Hanbing Bian Yan Liu |
| author_sort | Haiping Yuan |
| collection | DOAJ |
| description | In order to realize the high efficiency quality classification and three-dimensional visualization of engineering rock mass and to solve the technical difficulties of the traditional rock mass quality evaluation method such as high labor intensity, long process time consumption, many intervention processes such as scale measurement and manual calculation, and nonintuitive classification results, this paper puts forward a 3D visual rock mass quality evaluation method and system based on close-range photography, which optimizes the traditional rock mass quality evaluation method, makes the rock mass classification three-dimensional and visible, and realizes the estimation of unrevealed rock mass quality evaluation index. The research results show the following: (1) The method of storing joint information by close-range photography and extracting joint information by human-computer interaction improves the working efficiency and the process is safe and controllable compared with the traditional method of collecting fracture parameters. (2) Based on the statistical analysis of 97 groups of roadway survey data, the comprehensive statistical regression formula between BQ value of Chinese national standard and RMR value is given, and there is a good correlation between BQ value and RMR value of rock mass quality index. (3) Based on the power-inverse ratio method, the three-dimensional model of rock mass classification of the mine was established, and the cutting model obtained the current distribution diagram of rock mass quality grade, providing scientific reference for drilling, blasting, support, and other production design optimizations. |
| format | Article |
| id | doaj-art-2f5e141e3a5841a794601cda949134da |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-2f5e141e3a5841a794601cda949134da2025-02-03T01:06:22ZengWileyAdvances in Civil Engineering1687-80861687-80942020-01-01202010.1155/2020/88583228858322Joint Investigation and 3D Visual Evaluation of Rock Mass QualityHaiping Yuan0Chenghao Chen1Yixian Wang2Hanbing Bian3Yan Liu4School of Civil Engineering, Hefei University of Technology, Hefei 230009, ChinaSchool of Civil Engineering, Hefei University of Technology, Hefei 230009, ChinaSchool of Civil Engineering, Hefei University of Technology, Hefei 230009, ChinaLaboratoire de Génie Civil et Géoenvironnement, Université de Lille, Lille 5900, FranceState Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, ChinaIn order to realize the high efficiency quality classification and three-dimensional visualization of engineering rock mass and to solve the technical difficulties of the traditional rock mass quality evaluation method such as high labor intensity, long process time consumption, many intervention processes such as scale measurement and manual calculation, and nonintuitive classification results, this paper puts forward a 3D visual rock mass quality evaluation method and system based on close-range photography, which optimizes the traditional rock mass quality evaluation method, makes the rock mass classification three-dimensional and visible, and realizes the estimation of unrevealed rock mass quality evaluation index. The research results show the following: (1) The method of storing joint information by close-range photography and extracting joint information by human-computer interaction improves the working efficiency and the process is safe and controllable compared with the traditional method of collecting fracture parameters. (2) Based on the statistical analysis of 97 groups of roadway survey data, the comprehensive statistical regression formula between BQ value of Chinese national standard and RMR value is given, and there is a good correlation between BQ value and RMR value of rock mass quality index. (3) Based on the power-inverse ratio method, the three-dimensional model of rock mass classification of the mine was established, and the cutting model obtained the current distribution diagram of rock mass quality grade, providing scientific reference for drilling, blasting, support, and other production design optimizations.http://dx.doi.org/10.1155/2020/8858322 |
| spellingShingle | Haiping Yuan Chenghao Chen Yixian Wang Hanbing Bian Yan Liu Joint Investigation and 3D Visual Evaluation of Rock Mass Quality Advances in Civil Engineering |
| title | Joint Investigation and 3D Visual Evaluation of Rock Mass Quality |
| title_full | Joint Investigation and 3D Visual Evaluation of Rock Mass Quality |
| title_fullStr | Joint Investigation and 3D Visual Evaluation of Rock Mass Quality |
| title_full_unstemmed | Joint Investigation and 3D Visual Evaluation of Rock Mass Quality |
| title_short | Joint Investigation and 3D Visual Evaluation of Rock Mass Quality |
| title_sort | joint investigation and 3d visual evaluation of rock mass quality |
| url | http://dx.doi.org/10.1155/2020/8858322 |
| work_keys_str_mv | AT haipingyuan jointinvestigationand3dvisualevaluationofrockmassquality AT chenghaochen jointinvestigationand3dvisualevaluationofrockmassquality AT yixianwang jointinvestigationand3dvisualevaluationofrockmassquality AT hanbingbian jointinvestigationand3dvisualevaluationofrockmassquality AT yanliu jointinvestigationand3dvisualevaluationofrockmassquality |