Rock slope stability assessment through rock mass classification systems

Modification of slope mass rating (SMR) by continuous functions

One of the useful methods for rock slope stability analysis is the Romana SMR classification. This method is a developed version of the Bieniawski's 'rock mass rating' (RMR) system. This classification is based on classic set theory. Characterization of rock's mass is very complex and may result in some ambiguous. The classic Sets Theory Classification is not able to yield to unambiguous results. Using fuzzy set theory is an effective approach to quantify these ambiguities. This paper describes the application of fuzzy set theory to SMR classification by incorporating fuzzy sets. In the proposed approach the Mamdani fuzzy algorithm was constructed using 825 ''if-then'' rules for evaluating rock slope stability. In addition, slope instabilities in an open pit mine were tested and results were evaluated to confirm the accuracy of implementation this proposed approach.

Assessment of rock slope stability using the Fuzzy Slope Mass Rating (FSMR) system

Maximum likelihood estimation of slope stability

Rockfall phenomena represent a major hazard in mountainous areas because they can cause severe damage to infrastructure and buildings as well as serious injuries and fatalities. Rockfalls do not pose the same level of economic risk as large-scale landslides, yet they are responsible for a similar number of accidents and fatalities. Therefore, appropriate land-use planning is necessary to protect people, buildings and facilities from rockfall hazards. Over the last two decades, several methodologies have been proposed to assess rockfall hazards, identify potentially dangerous areas (i.e., rock cliffs with failure-prone blocks) and provide guidelines for choosing and installing the most appropriate mitigation measures. This paper provides a comprehensive review of the existing rockfall hazard assessment methodologies. In particular, the review focuses on qualitative methods that allow a rapid evaluation of a rockfall hazard without costly and time-consuming numerical simulations. The most commonly adopted methodologies in Europe and North America are described and critically analyzed to highlight their differences and similarities and to identify their primary advantages, limitations and fields of application.

Qualitative Rockfall Hazard Assessment: A Comprehensive Review of Current Practices

The SMR geomechanics classification system (adaptation of RMR for slopes) is reviewed with data from 87 actual slopes in Valencia. In a research project, SMR has been applied by a GIS system, as a method to forecast stability problems in future road construction. As a result of this work a methodology for GIS application has been developed. On revient sur la classification geomechanique SMR ( une adaptation du RMR pour talus et pentes) avec les dates de 87 talus existant autour de Valencia. Dans le cadre d’un projet de recherche SMR a ete appliquee, avec un systeme GIS, comme methode de prevision de stabilite problemes dans la construction de futures routes. Une methodologie pour l’application du GIS a ete developpe. Das Geomechanische Einteilungssystem SMR (eine Anpassung des RMR an Boschungen) wird an Hand der Daten von 87 Boschungen im Gebiet von Valencia uberdacht. In einem Forschungsprojekt wurde das SMR in einem Geographischen Informationssystem (GIS) als Methode zur Vorhersage von Stabilitatsproblemen bei zukunftigen Strasenbauprojekten eingesetzt. Das Ergebnis dieser Arbeit ist die Entwicklung einer Methodologie fur die GISAnwendung

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Manuel Romana

Papers

SMR Geomechanics Classification:Application, Experience And Validation

Rock Slope Stability At The Marquesado Mine