Design Optimization

To ensure design optimality ALE uses optimization techniques which solve design problems using structural response analyses in an automated iterative process. The response is obtained by Finite Element Analysis for large and complex geometry or by analytical methods for abstracted geometry. A parametric model is built to facilitate design changes easily by altering the design variables. The design changes are steered by the optimization algorithm which iteratively improves the objective within a constrained design space.

An example is weight minimization (the objective) with limits on stresses, displacements, buckling, or eigenfrequencies (the constraints). Optimization methods can also be applied to existing designs in order to obtain potential improvements.

ALE has extensive experience using optimization methods to solve engineering problems involving:

  • Composite material layup
  • Topology and structure optimization
  • Weight minimization
  • Manufacturing constraints
  • Eigenfrequencies