DocumentCode :
526050
Title :
Notice of Retraction
Study of optimum scheme in hoisting large-scale reinforced concrete long post
Author :
Wei Kong ; Hai Du
Author_Institution :
Coll. of Civil Eng., Northeast Dianli Univ., Jilin, China
Volume :
1
fYear :
2010
fDate :
12-13 June 2010
Firstpage :
361
Lastpage :
364
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.

In order to solve the problem of hoisting large-scale reinforced concrete long post, during the construction of power plants or industrial buildings, an optimum hoisting scheme is studied, and the corresponding computer program is compiled. Mathematical models for the internal forces of double-crane and double-rope system are established. The lifting-point positions are taken as design variables. The objective function is to minimize the maximum moment in the process of hoisting long posts. The constraints are imposed by the penalty strategy. And get the optimization solution through grid method and genetic algorithm. The best rope system is determined by comparing the computational results of initial rope systems under respective best lifting-points. In the end, the correction and efficiency of the scheme are proved by a calculation example. The results indicate that the peak of maximum moment is decreased by about 30% through choosing the optimum rope system, lifting-points and rope length.
Keywords :
construction equipment; genetic algorithms; hoists; reinforced concrete; best rope system; double-crane; double-rope system; genetic algorithm; grid method; industrial buildings; internal forces; large-scale reinforced concrete long post; lifting-point positions; mathematical model; objective function; optimum hoisting scheme; optimum scheme; power plants; Computational efficiency; Genetics; Optimization; Search problems; genetic algorithm; hoisting; optimum rope system; reinforced conrete long post;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6944-4
Type :
conf
DOI :
10.1109/CCTAE.2010.5544787
Filename :
5544787
Link To Document :
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