The ICM method with objective function transformed by variable discrete condition for continuum structure

ICM (Independent Continuous Mapping) method can solve topological optimization problems with the minimized weight as the objective and subjected to displacement constraints. To get a clearer topological configuration, by introducing the discrete condition of topological variables and integrating with the original objective, an optimal model with multi-objectives is formulated to make the topological variables approach 0 or 1 as near as possible, and the model reduces the effect of deleting rate on the result. The image-filtering method is employed to eliminate the checkerboard patterns and mesh dependence that occurred in the topology optimization of a continuum structure. The computational efficiency is enhanced through selecting quasi-active displacement constraints and a design region. Numerical examples indicate that this algorithm is robust and practicable, though the number of iterations is slightly increased with respect to the original algorithm. The project supported by the National Natural Science Foundation of China (10472003), Beijing Natural Science (3002002) and Beijing Educational Committee Foundations (KM200410005019) and Suspensoried by American MSC Company. The English text was polished by Keren Wang.