Computer Aided Slope Stability Analysis Using Optimization And Parallel Computing Techniques Pdf
File Name: computer aided slope stability analysis using optimization and parallel computing techniques .zip
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Slope stability analysis is commonly performed using limit equilibrium methods LEM. In LEM, factor of safety FS is calculated for different trial slip surfaces and the one with the minimum FS is reported as the critical slip surface.
Since locating the critical slip surface is believed to Computer Aided Slope Stability Staff View. Full description Saved in:. TA Engineering General. Civil engineering General. Civil engineering General Slope stability analysis is commonly performed using limit equilibrium methods LEM.
Since locating the critical slip surface is believed to be an NP-hard non-deterministic polynomialtime problem, heuristic global optimization techniques are employed. According to the NFL theorems, no heuristic optimization technique can perform well for all problems. On the other hand, there may exist other slip surfaces that are as important as the critical slip surface in practical analyses. A slip surface is important, if it is located far away from the critical slip surface, but gives FS close to the minimum FS or the consequences of failure along the slip surface is serious.
Therefore, there is a need to constantly implement and test different optimization techniques. However, implementation of optimization techniques in slope stability analysis is often not straightforward because it requires internal links to LEM.
Firstly, the present study resolves this issue by developing a decoupled algorithm that allows for easy implementation of optimization techniques. Masters thesis, Universiti Sains Malaysia. Tabarroki, Mohammad. Add Tag No Tags, Be the first to tag this record!
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Slope stability analysis is commonly performed using limit equilibrium methods LEM. In LEM, factor of safety FS is calculated for different trial slip surfaces and the one with the minimum FS is reported as the critical slip surface. Since locating the critical slip surface is believed to Computer Aided Slope Stability Staff View. Full description Saved in:.
Particle swarm optimization PSO is a heuristic global optimization method, proposed originally by Kennedy and Eberhart in It is now one of the most commonly used optimization techniques. This survey presented a comprehensive investigation of PSO. On the other hand, we offered a survey on applications of PSO to the following eight fields: electrical and electronic engineering, automation control systems, communication theory, operations research, mechanical engineering, fuel and energy, medicine, chemistry, and biology.
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