| 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
| |
| 2019 | |
| Source Publication | GEOLOGIA CROATICA
 |
| ISSN | 1330-030X |
| EISSN | 1333-4875 |
| Volume | 72Pages:71-80 |
| Subtype | Article; Proceedings Paper |
| Contribution Rank | 1 |
| Abstract | 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. |
| Keyword | rock slopes hydropower engineering region slope stability probability classification system modification Hoek-Brown strength criterion CSMR system |
| DOI | 10.4154/gc.2019.20 |
| Indexed By | SCI |
| Language | 英语 |
| WOS Research Area | Geology |
| WOS Subject | Geology |
| WOS ID | WOS:000505931700007 |
| Publisher | CROATIAN GEOLOGICAL SURVEY |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.imde.ac.cn/handle/131551/33770 |
| Collection | 山地灾害与地表过程重点实验室 |
| Corresponding Author | Li Xiu-Zhen |
| Affiliation | 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 |
| First Author Affilication | 中国科学院水利部成都山地灾害与环境研究所 |
| Corresponding Author Affilication | 中国科学院水利部成都山地灾害与环境研究所 |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 934-Article Text-963（792KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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