RESEARCH ON MULTI-OBJECTIVE OPTIMIZATION DESIGN OF STEEL REINFORCED HIGH STRENGTH CONCRETE FRAME COLUMN

As constraint conditions of the normal section bearing capacity，displacement ductility coefficient，axial compression ratio and construction requirements，based on the MATLAB program，the particle swarm algorithm， interior point penalty function method and object planning method were chosen to actualize the multi-objective optimization of the minimum cost and maximum shear bearing capacity for the steel reinforced high strength concrete frame column． The optimization design would be carried out to an example，meanwhile the comparison of optimization results with original scheme would be made on shear bearing capacity and economic benefits． The analysis results showed that the optimization mathematical model had a proper accuracy for engineering application．