Title :
Arch Axis Optimum Design of Steel Box-Concrete Composite Arch Bridge Based on Improved Genetic Algorithms
Author :
Hong Xiang ; Zhou, Zhi-xiang ; Zai, Guo-jun
Author_Institution :
Sch. of Civil Eng. & Archit., Chongqing Jiaotong Univ., Chongqing, China
Abstract :
In view of shortcomings such as premature convergence and oscillation in Simple Genetic Algorithms (SGA), the article adopts the method of adaptive adjusting for the probabilities of crossover and mutation. So the Improved Genetic Algorithms (IGA) is formed by adding the transgenic operator to SGA. And the optimum design program of steel box-concrete composite arch bridge based on improved genetic algorithms is simultaneously developed. The arch section optimum of steel box-concrete composite arch bridge is firstly conducted by using the program. Then the arch axis optimum is conducted by using the optimized arch section parameters. Recomputation of the optimized steel box-concrete composite arch bridge is conducted by using the fem program in the end. The numerical experiment shows that the optimization result meets the demands, the mechanical behavior of arch rib is improved and the project cost is obviously reduced.
Keywords :
bridges (structures); concrete; design engineering; genetic algorithms; steel; arch axis optimum design; arch bridge; arch rib; fem program; improved genetic algorithms; optimization; probability; steel box-concrete composite; Bridges; Concrete; Convergence; Foot; Optimization; Probability; Steel;
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
DOI :
10.1109/ICEEE.2010.5660154