An efficient isogeometric topology optimization using multilevel mesh, MGCG and local-update strategy

摘要

This paper proposes a new high-efficiency isogeometric topology optimization (HITO), including three part: multilevel mesh, multigrid conjugate gradient method (MGCG) and local-update strategy, which improves the efficiency in three aspects: mesh scale reduction, solving acceleration and design variables reduction. Four benchmark examples are used to evaluate proposed method, and the results show that the proposed HITO successfully reduces 37%-93% computational time compared to the conventional isogeometric topology optimization (CITO) and obtains consistent optimization results, which demonstrates the high-efficiency of the HITO. Furthermore, the efficiency improvement of the HITO will be more significant for the large-scale problems.