Abstract
Finding the critical slip surface in a soil or rock is very cumbersome and a difficult constrained global optimization problem. In presence of large solution search space and high computational complexity, the classical techniques are unable to find an optimal solution. In this paper, a meta-heuristic approach called Biogeography-based optimization (BBO) algorithm is applied to perform slope stability analysis, where Spencer method from limit equilibrium analysis is used as objective function for the algorithm. The validation and performance of the algorithm has been shown by solving a benchmark case study from the literature where, the implementation results confirm higher stability analysis and acquire more efficient result over relevant existing methods.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
