Journal
GEOTECHNICAL AND GEOLOGICAL ENGINEERING
Volume 39, Issue 7, Pages 5119-5133Publisher
SPRINGER
DOI: 10.1007/s10706-021-01818-8
Keywords
Back analysis; Failed slope; Hoek– Brown criterion; Geological strength index
Categories
Funding
- Training and Research Center of the Railways of Islamic Republic of Iran
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Small variations in shear strength parameters can significantly affect the safety factor of a rock slope. A new back analysis approach for estimating rock mass strength is proposed, which involves deriving a functional relationship for m(b) and s constants and establishing a relationship based on the Geological Strength Index (GSI). By plotting these relationships on a graph, a unique value for m(b) and s can be determined, increasing the accuracy of parameter estimation.
Small variation in shear strength parameters results in remarkable changes in the safety factor (SF) of a rock slope. In this regard, rock mass strength of a failed slope can be estimated with reasonable accuracy using back analysis approach. The conventional back analysis (BA) procedure is based on trial and error approach on the m(b) and s parameters of Hoek-Brown failure criterion in conjunction with the Geological Strength Index (GSI) classification system. A new BA procedure presented in this paper, a functional relationship, that indicted all possible combinations of m(b) and s constants, was derived using stability analysis of a slope assuming that the SF of the slope is equal to unity. Then, another relationship is established between m(b) and s based on the magnitude of GSI. Intersection of the two relationships when plotting on a graph, defines a unique value for m(b) and s. Finally, effect of the constant a in the generalized Hoek-Brown failure criterion on the GSI value obtained from the method BA is discussed and its effect is considered in the BA approach. The most advantage of the proposed method is that a reliable GSI is obtained in a relatively short time. For better explanation of the new BA procedure, this method is used for the back analysis of a failed slope along the national railway of Iran. Comparing results obtained from the new BA approach and the traditional back analysis method well-specified which the new proposed BA approach increases the accuracy of parameter estimation.
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