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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 PublicationGEOLOGIA CROATICA
ISSN1330-030X
EISSN1333-4875
Volume72Pages:71-80
SubtypeArticle; Proceedings Paper
Contribution Rank1
AbstractStability 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.
Keywordrock slopes hydropower engineering region slope stability probability classification system modification Hoek-Brown strength criterion CSMR system
DOI10.4154/gc.2019.20
Indexed BySCI
Language英语
WOS Research AreaGeology
WOS SubjectGeology
WOS IDWOS:000505931700007
PublisherCROATIAN GEOLOGICAL SURVEY
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/33770
Collection山地灾害与地表过程重点实验室
Corresponding AuthorLi Xiu-Zhen
Affiliation1.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.
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