DocumentCode
2296646
Title
Notice of Retraction
PSO algorithm-based reliability analysis of bearing capacity of multi-pile composite foundation
Author
Jia Guo ; Yong Liu
Author_Institution
Fac. of Eng., China Univ. of Geosci., Wuhan, China
Volume
8
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
4185
Lastpage
4188
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
PSO Algorithm can search the extreme point of the complex objective function more effectively in contrast to tradition optimization algorithm. Based on PSO algorithm and geometric implication of the reliability index, a global optimal method is put forward to calculate the reliability index. In recently years, multi-pile composite foundation is widely used. The classification and the computation methods of bearing capacity of multi-pile composite ground are generalized, and the ultimate bearing capacity equation is deduced in this paper. The PSO algorithm is used in reliability analysis of multi-pile composite foundation. The program of computing reliability index is developed in MATLAB. Three practical examples using Monte-Carlo method and PSO algorithm show that PSO algorithm has the advantages of rapid convergence and high perecision in the reliability analysis of bearing capacity of multi-pile composite ground. This electronic document is a “live” template.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
PSO Algorithm can search the extreme point of the complex objective function more effectively in contrast to tradition optimization algorithm. Based on PSO algorithm and geometric implication of the reliability index, a global optimal method is put forward to calculate the reliability index. In recently years, multi-pile composite foundation is widely used. The classification and the computation methods of bearing capacity of multi-pile composite ground are generalized, and the ultimate bearing capacity equation is deduced in this paper. The PSO algorithm is used in reliability analysis of multi-pile composite foundation. The program of computing reliability index is developed in MATLAB. Three practical examples using Monte-Carlo method and PSO algorithm show that PSO algorithm has the advantages of rapid convergence and high perecision in the reliability analysis of bearing capacity of multi-pile composite ground. This electronic document is a “live” template.
Keywords
Monte Carlo methods; convergence; foundations; particle swarm optimisation; reliability; search problems; MATLAB; Monte-Carlo method; convergence; extreme point searching; geometric implication; global optimal method; multipile composite foundation; multipile composite ground; particle swarm optimisation algorithm; reliability analysis; reliability index; ultimate bearing capacity equation; Algorithm design and analysis; Convergence; Equations; Indexes; Mathematical model; Monte Carlo methods; Reliability; Monte-Carlo method; PSO algorithm; multi-pile composite foundation; reliability; ultimate bearing capacity;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4244-5958-2
Type
conf
DOI
10.1109/ICNC.2010.5583697
Filename
5583697
Link To Document