Paper Info
Title
Dynamic optimization of steel tower by using adaptive genetic algorithm
Abstract
In order to solve the structural optimization problem of transmission steel tower, dynamic topology combination optimization (TCO) method based on adaptive genetic algorithm is presented. First, wind load is simulated by using Kaimal spectrum and harmonic synthesis method. Then, precise Time-Integration method is applied to analyze the structural dynamic response. Finally, topology rules and adaptive genetic algorithm is applied to optimize the transmission tower. Quasi-static TCO method is also analyzed in this paper. The simulation results demonstrate that the calculated results of the proposed TCO method are obviously better than those of the cross-section size optimization (CSSO) method. For the dynamic TCO method, the simulation dynamic wind load is closer to the natural environment wind, so the calculated result of the dynamic TCO method will be safer.
Year
DOI
Venue
2010
10.1109/ICNC.2010.5584766
ICNC
Keywords
Field
DocType
poles and towers,topology rules,structural optimization,dynamic tco method,dynamic response,dynamic topology combination optimization,wind load,cross-section size optimization method,csso method,steel,structural engineering,harmonic synthesis method,quasistatic tco method,kaimal spectrum method,structural optimization problem,topology,genetic algorithms,fecjkjk,structural dynamic response,adaptive genetic algorithm,transmission steel tower,precise time-integration,time-integration method,encoding,shape,cross section,spectrum,natural environment,optimization,structural dynamics
Tower,Mathematical optimization,Load modeling,Computer science,Transmission tower,Harmonic,Wind engineering,Optimization problem,Genetic algorithm,Encoding (memory)
Conference
Volume
ISBN
Citations 
8
978-1-4244-5958-2
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Huiyong Guo101.35
Hantang Zhu200.34
Zhengliang Li321.09