Modification of slope stability probability classification and its application to rock slopes in hydropower engineering regions | |
Li Xiu-Zhen1,2; Tan Rong-Zhi1,2; Gao Yan3 | |
刊名 | GEOLOGIA CROATICA
![]() |
2019 | |
卷号 | 72页码:71-80 |
关键词 | rock slopes hydropower engineering region slope stability probability classification system modification Hoek-Brown strength criterion CSMR system |
ISSN号 | 1330-030X |
DOI | 10.4154/gc.2019.20 |
产权排序 | 1 |
文献子类 | Article; Proceedings Paper |
英文摘要 | Stability assessment of rock slopes in hydropower engineering regions is an important and complex issue. Rock mass classification systems are a good approach because they can thoroughly consider many factors influencing rock slope stability. The slope stability probability classification (SSPC) system is a novel method. However, it has two limitations when applied to rock slopes: 1) it is only suitable for slopes less than 45 m in height, and 2) there is great subjectivity and randomness in the estimation of intact rock strength. Therefore, this study presents two modifications of the SSPC system by adopting the Hoek-Brown strength criterion and an empirical formula for maximum slope height. Evaluation of results from of 34 typical rock slopes of the major hydropower engineering regions in China indicated that the accuracy rate of the modified SSPC for stability evaluation of these slopes was 61.8%, and the accuracy for stability evaluation of 10 slopes with non-structural control failure was 80%. The stability values of stable and unstable slopes obtained using the modified SSPC were different to those obtained using the Chinese Slope Mass Rating (CSMR) and modified CSMR systems. In addition, the identification accuracy rate of the modified SSPC was significantly higher than that of the CSMR and modified CSMR. Therefore, the modified SSPC can be applied to hydropower engineering regions, providing a new means of rapidly evaluating the slope stability of high rock slopes (slopes > 45 m in height) in these regions. |
电子版国际标准刊号 | 1333-4875 |
WOS研究方向 | Geology |
语种 | 英语 |
出版者 | CROATIAN GEOLOGICAL SURVEY |
WOS记录号 | WOS:000505931700007 |
内容类型 | 期刊论文 |
源URL | [http://ir.imde.ac.cn/handle/131551/33770] ![]() |
专题 | 成都山地灾害与环境研究所_山地灾害与地表过程重点实验室 |
通讯作者 | Li Xiu-Zhen; Tan Rong-Zhi |
作者单位 | 1.Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Sichuan, Peoples R China; 2.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China; 3.Guizhou Univ, Coll Resources & Environm Engn, Guiyang 550025, Guizhou, Peoples R China |
推荐引用方式 GB/T 7714 | Li Xiu-Zhen,Tan Rong-Zhi,Gao Yan. Modification of slope stability probability classification and its application to rock slopes in hydropower engineering regions[J]. GEOLOGIA CROATICA,2019,72:71-80. |
APA | Li Xiu-Zhen,Tan Rong-Zhi,&Gao Yan.(2019).Modification of slope stability probability classification and its application to rock slopes in hydropower engineering regions.GEOLOGIA CROATICA,72,71-80. |
MLA | Li Xiu-Zhen,et al."Modification of slope stability probability classification and its application to rock slopes in hydropower engineering regions".GEOLOGIA CROATICA 72(2019):71-80. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论