2019
DOI: 10.4154/gc.2019.20
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Modification of slope stability probability classification and its application to rock slopes in hydropower engineering regions

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 i… Show more

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Cited by 3 publications
(1 citation statement)
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“…To overcome the limitations previously, Hack (1998) [15] presented a new rock slope stability assessment approach (SSPC, slope stability probability classification), which has been used worldwide, especially in the research of road slopes in Spain [16], New Zealand, India [17], and Turkey [5,6,14] with good results. As a matter of fact, the method is generally suitable for slopes with a height of less than or equal to 45 m. Moreover, discontinuity property survey, weathering degree, and intact rock strength estimation involve high subjectivity and arbitrariness [14,17,18]. For these reasons, the SSPC method is rarely used in the high and steep cutting rock slopes [19].…”
Section: Introductionmentioning
confidence: 99%
“…To overcome the limitations previously, Hack (1998) [15] presented a new rock slope stability assessment approach (SSPC, slope stability probability classification), which has been used worldwide, especially in the research of road slopes in Spain [16], New Zealand, India [17], and Turkey [5,6,14] with good results. As a matter of fact, the method is generally suitable for slopes with a height of less than or equal to 45 m. Moreover, discontinuity property survey, weathering degree, and intact rock strength estimation involve high subjectivity and arbitrariness [14,17,18]. For these reasons, the SSPC method is rarely used in the high and steep cutting rock slopes [19].…”
Section: Introductionmentioning
confidence: 99%