A Unified Slope Design Framework for Different Rock Slope Failure Mechanisms

Date

2024-1

Author

Kahveci, Mustafa Serhan

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Slope stability analysis requires an extensive knowledge on geomechanics and computational simulations. This research develops a practical approach in the preliminary analysis of slope failure modes for rock slopes with different specifications in terms of rock mass quality, slope height, overall slope angle, upper face inclination and discontinuity orientations. Parametric analyses were conducted on computational models using Finite Element Method and Limit Equilibrium Method. In total, 10041 different conditions were simulated to generate a reliable database for the construction of a new slope design framework. Slope performance was evaluated in terms of the mechanical indicators such as the total displacement, max shear strain and factor of safety. The model outputs were used to train an Artificial Neural Network (ANN) model to overcome the difficulties in interpretation of conventional tables and plots. The ANN model was tested using benchmark cases. The results provided a high correlation implying the proposed method is successful in predicting the failure mode in rock slopes. The study outcomes have potential to provide a reliable tool for slope stability that may be useful for inexperienced technical staff.

Subject Keywords

Rock Slope Stability, Finite Element Method, Limit Equilibrium Method, Slope Failure Mode, Machine Learning

URI

https://hdl.handle.net/11511/108374

Collections

Graduate School of Natural and Applied Sciences, Thesis