We study an algorithm recently proposed, which is called sequential parametric approximation method, that finds the solution of a differentiable nonconvex optimization problem by solving a sequence of differentiable convex approximations from the original one. We show as well the global convergence of this method under weaker assumptions than those made in the literature. The optimization method is applied to the design of robust truss structures. The optimal structure of the model considered minimizes the total amount of material under mechanical equilibrium, displacements and stress constraints. Finally, Robust designs are found by considering load perturbations.
|Number of pages||19|
|Journal||Journal of Global Optimization|
|State||Published - 1 May 2017|
Bibliographical notePublisher Copyright:
© 2016, Springer Science+Business Media New York.
- Robust design
- Sequential parametric convex approximation
- Stress constraints
- Truss optimization