Efcient computation of states and sensitivities for compound structural optimisation problems using a Linear Dependency Aware Solver (LDAS)
article
Real-world structural optimisation problems involve multiple loading conditions and design constraints, with responses typi cally depending on states of discretised governing equations. Generally, one uses gradient-based nested analysis and design approaches to solve these problems. Herein, solving both physical and adjoint problems dominates the overall computational efort. Although not commonly detected, real-world problems can contain linear dependencies between encountered physical and adjoint loads. Manually keeping track of such dependencies becomes tedious as design problems become increasingly involved. This work proposes using a Linear Dependency Aware Solver (LDAS) to detect and exploit such dependencies. The proposed algorithm can efciently detect linear dependencies between all loads and obtain the exact solution while avoiding unnecessary solves entirely and automatically. Illustrative examples demonstrate the need and benefts of using an LDAS, including a run-time experiment
TNO Identifier
977798
Source
Structural and Multidisciplinary Optimization, 65, pp. 1-14.
Pages
1-14