DocumentCode
2896675
Title
Finding Most Likely Sliding Surfaces Using PSO
Author
Wen, Jen-Chih ; Chen, Walter W.
Author_Institution
Dept. of Civil Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
fYear
2011
fDate
11-13 Nov. 2011
Firstpage
309
Lastpage
312
Abstract
PSOslope is a Windows application program with a GUI interface written in C# using the evolutionary algorithm of Particle Swarm Optimization (PSO). It was designed and developed to compute the Factor of Safety (FS) of a soil slope. This paper presents a new version of the program called PSOslope 2, which contains a number of improvements over the previous version, including the support for the Bishop´s Simplified Method (BSM) in addition to the existing Ordinary Method of Slices (OMS). The new program also used more stringent criteria for assessing acceptable sliding surfaces than the old version did. Finally, PSOslope 2 was used to compute the FS of a simple vertical cut in a homogeneous soil. The results showed that PSOslope 2 was able to discover a more likely sliding surface (smooth but non-planar) with a lower value of FS than the theoretical prediction (based on the assumption of planar failure). This demonstrated that the PSO could be used to efficiently optimize the problems involving slope stability that includes natural slopes and excavations. It also showed that the PSO was a promising approach and provided practical solutions for the search of most likely sliding surfaces.
Keywords
C language; geomorphology; geophysics computing; particle swarm optimisation; soil; Bishop simplified method; C#; GUI interface; PSOslope; Windows application program; evolutionary algorithm; factor of safety; most likely sliding surfaces; ordinary method of slices; particle swarm optimization; soil slope; Laser stability; Particle swarm optimization; Rocks; Soil; Stability analysis; Terrain factors; C++; PSO; landslides; slopes;
fLanguage
English
Publisher
ieee
Conference_Titel
Technologies and Applications of Artificial Intelligence (TAAI), 2011 International Conference on
Conference_Location
Chung-Li
Print_ISBN
978-1-4577-2174-8
Type
conf
DOI
10.1109/TAAI.2011.60
Filename
6120763
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