Abstract: Topology optimization with stress and displacement constraints is considered as the most difficult problem in structure topology optimization. It is very important in initial design of structure. In continuum structure topology optimization, genetic algorithm (GA) is served as optimization method, binary chromosome of GA is used to represent a topology structure, and finite element method is used to obtain the displacement, stress and strain of each node, which are included in constraint conditions. In order to improve the efficiency and make the optimization results better, the concept of structural constraint is put forward, and a guiding factor is introduced in punished function. The method can provide multi-scheme for a same structure design problem, which makes it possible for new structure design. An example is optimized to show the rationality and efficiency of the method.

Key words: structure optimization, topology optimization, genetic algorithm, structure design, punished function method