Title :
Parameter optimization of complicated bridges with the method of GA-BP
Author :
Xiao-jun, Ning ; Qiang, Zhao
Author_Institution :
Sch. of Civil Eng., Kunming Univ. of Sci. & Technol., Kunming, China
Abstract :
When designing a bridge, how to choose the correct parameters of bridge is the most important problem. Especially for complicated bridges, there are many parameters, and some of them are coupled, so when calculating a parameter alone, it may cause wrong conclusions. In this thesis, parameter optimization of bridge is introduced with the method of GA-ANN. According to the detail processes, a continuous rigid frame bridge of 220m main span is analyzed. The availability of this method is proved.
Keywords :
backpropagation; bridges (structures); genetic algorithms; neural nets; GA-ANN; GA-BP; bridge design; bridge parameter optimization; complicated bridges; continuous rigid frame bridge; Artificial neural networks; ANN; GA; complicated bridges; parameter optimization;
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
DOI :
10.1109/ICCSN.2011.6014168
