An empirical method for slope mass rating-Qslope correlation for Isfahan province, Iran

Abstract

The presented article provides an empirical method on rock slope classification, slope mass rating (SMR), Q slope , stability condition, failure type and stabilisation procedures for 35 road/railway discontinuous rock slopes after field surveys in Isfahan Province of Iran. Also, it presents the empirical correlation for SMR and Q slope classification system that prepares a link between the stability status (safety factor, reliability condition) and stabilisations (failure mechanism, support system) which performed on natural/trench slopes cases related sedimentary rocks cuts in the studied region. As results, the SMR-Q slope equation for Isfahan Province obtained as SMR = 11.89 ln(Q slope ) + 71.92 (R 2 = 0.756). • This method can be useful on a stability assessment and providing appropriate stabilisations for the discontinuous rock slope based on simple assumptions where used in different geotechnical projects such as road/railway slope, excavations, open-pit mining, trench boring, etc. • This method can be useful for quick calculation of stability conditions and suggestion of slope maintenance system in a short time as preliminary reactions. • This method can be used as an effective way to convert SMR and Q slope equations and used both benefits in geo-engineering application faced with discontinuous rock masses. • This method can be useful for future research on the empirical geomechanically classification and rock mass preliminary quantifications. • This method can be used as an appropriate database for SMR and Q slope classification.

A Qslope-based empirical method to stability assessment of mountain rock slopes in multiple faults zone: A case for North of Tabriz

“…For stability assessment, 25 cases are used for Q slope -based analysis. The required data is recorded during the field survey [ 13 , 14 ]. A relationship is given for multiple fault zones based on the Q slope classic method.…”

Fuzzy-Based Intelligent Model for Rapid Rock Slope Stability Analysis Using Qslope

“…These methods facilitate the appropriate design and implementation of suitable support systems, enabling effective control of slope instabilities during their early stages [4]. Empirical relations have been recognized as robust solutions due to their swift analysis and minimal assumptions [5]. Leveraging the rapid quantification of rock slope features, empirical classifications facilitate prompt discussions and aid in the swift implementation of stabilization measures when slope failure is detected in its initial stages [6].…”

Evaluation of rock slope using q-slope, limit equilibrium and failure probability at andesite mine of Sidomulyo Village

“…The main objectives of the stability analysis are the determination of rock slope stability conditions, study of potential failure mechanisms, determination of the factors that affect the slope stability, and performing the optimum and safe slope designs (Gurocak et al, 2017). Stability analysis and providing appropriate support systems for controlling the instabilities in the discontinuous rock slope is the main task for geo-engineers that were faced with different geotechnical projects (Azarafza, et al, 2020). Assessment of slope stability in such rock mass media is a very complex task, where the failures although can occur globally affecting few berms or the entire cut, most often have local character (plane failure, wedging, local toppling) (Janevski and Jovanovski, 2021).…”

“…Empirical method Q-Slope utilizes parameters RQD (rock quality designation), Jn (joint set number), Jr (joint roughness number), Ja (joint alteration number), Jwice (environmental and geological condition number), SRF (stress reduction factor) and additional parameter O-factor (discontinuity orientation factor) based on the potential of failure (Barton and Bar, 2015). Q-Slope was used to both benefits, primarily as flexible empirical approaches to rock mass quantifications and investigate the various issues of the discontinuous to provide a suitable description in design applications (Azarafza, et al, 2020). Generally, application of the geomechanical classifications for primary slope stability assessment and suggesting the in-situ supporting system can be helpful to prevent the first-time rock failures in different excavation operations (Kumar et al, 2019).…”