Study On The Rib-hoisting Optimization For CFST Arch Bridge Based On Genetic Algorithm

Rib-hoisting of the long-span CFST arch bridge is very complex .In order that the finished state of structure meets the design requirement it is necessary to study the method of buckle-cable adjusted and determine reasonable finished state.In this paper improved genetic algorithm is combined with computation of buckle-cable adjusted. And the genetic optimization model based on real number encoding is introduced. In the established model, rank-based fitness assignment selection and dynamic penalty strategy are introduced to handling restriction problems. In order to assure that the stress and strain state of structure is secure, the author analyses respectively the objective functions of the reasonable finished state and buckle-cable adjusted phase; thus, the optimized model based on FGA is framed. Finally according to the example, the computation datum are compared with the iterative forward analysis method and the optimal control theory. The result shows that this method can be used conveniently and meet the construction and design precision.The research is an application of new intelligent computation theory in the construction control field of bridges. It is very essential and significative for the development of construction control technology of CFST. Furthermore, it has great reference value for the construction control of other kinds of bridges.