This article presents an integrated method of automatic modeling and intelligent optimization algorithm for the design of ultra-high performance concrete (UHPC) steel-concrete composite beam bridge. UHPC has become a high-quality material to enhance the structural performance of bridges because of its ultra-high compressive strength, tensile strength, low permeability and excellent durability. Applying it to the composite structure composed of steel main girder and UHPC bridge deck can improve the bearing capacity of the structure and reduce its own weight to some extent. In order to achieve a reasonable design of UHPC steel-concrete composite beam bridge, a refined numerical model of bending performance of prestressed UHPC-steel-concrete composite beam is built by using finite element analysis software ABAQUS, which is integrated with parallel computing technology and genetic algorithm (GA). In the optimization process, considering the material consumption, construction feasibility and mechanical performance limitations, the design variables are globally optimized by intelligent algorithm. The results show that this method has good convergence and global search ability, and can reduce the structural cost to some extent.
Qiu et al. (Sun,) studied this question.