Lectotype Optimization of Single-Layer Steel Reticulated Dome Based on Sectional Optimization

Author

Xiaoyang, Lu ; Shiying, Chen ; Yuxia, Guo ; Xiaowei, Zhao

Author_Institution

Shandong Jianzhu Univ., Jinan, China

Volume

1

fYear

2010

fDate

4-6 June 2010

Firstpage

129

Lastpage

132

Abstract

From five classic types of reticulated domes, selected models with minimum weight were chosen from the sectional optimization results of hundreds of shell computing model with different size. Building up the mapping relationship between span,rise-span ratios and type of shell with minimum weight by using the method of Intelligent two-level Algorithm, provides an easy and cleverly way to accomplish lectotype optimization of dome structure through section optimization.

Keywords

backpropagation; neural nets; shells (structures); steel; structural engineering computing; backpropagation artificial neural network; dome structure; intelligent two-level algorithm; lectotype optimization; mapping relationship; rise-span ratios; sectional optimization; shell computing model; single-layer steel reticulated dome; Artificial neural networks; Design optimization; Educational institutions; Intelligent networks; Intelligent structures; Neural networks; Optimization methods; Shape; Steel; Topology; intelligent two-level algorithm; lectotype optimization; sectional optimization; single-layer steel reticulated dome;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Computing (ICIC), 2010 Third International Conference on

Conference_Location

Wuxi, Jiang Su

Print_ISBN

978-1-4244-7081-5

Electronic_ISBN

978-1-4244-7082-2

Type

conf

DOI

10.1109/ICIC.2010.39

Filename

5514217