To improve the rationality of the design method for reinforced concrete deep beams，a topological StrutandTie model method for multiobjective loads is proposed. On one hand，it is evolved from genetic evolutionary structural optimization algorithm and can be used to solve structures under multiobjective loads; on the other hand，it builds StrutandTie models according to the topological solutions，which links up the topology optimization and the engineering design. Two numerical examples of deep beams show the progress of[JP2]the project from establishment of initial design domain to evolution of topological solutions，and then to construction and analysis of StrutandTie model. Feasibility and stability of the new method are proved in these processes. From the points of view of constructing StrutandTie models and the corresponding mechanical properties of the models，the topological solutions of multiobjective optimization of loads are compared with those of singleobjective optimization of each load case，and their elastic superposition，and with those of singleobjective optimization of applying all load cases simultaneously as well. The results show the new method is more suitable for the mechanical properties of deep beam members and has better capability of global optimization. Multiobjective genetic evolutionary structural optimization of loads can effectively solve the ill conditioned load problem in multiobjective optimization. It can be used for establishing StrutandTie models intuitively，which provides important reference for the design of reinforced concrete deep beams.[JP]