A New Approach for Solving Singular Systems in Topology Optimization Using Krylov Subspace Methods

Abstract

In topology optimization, the design parameter with no contribution to the objective function vanishes. This causes the stiffness matrix to become singular. We show that a local optimal solution is obtained by Conjugate Residual Method and Conjugate Gradient Method even if the stiffness matrix becomes singular. We prove that CGMconverges to a local optimal solution in that case. Computer simulation shows that CGM gives the same solutions obtained by CRM in case of a cantilever beam problem.

21 pages, 4 figures

Cited by in corpus (1)

• Convergence of the Conjugate Gradient Method on Singular Systems