A heuristic and a genetic topology optimization algorithm for weight-minimal laminate structures

This paper presents two alternative approaches for realizing weight-minimal laminate structures by topology optimization. In both cases, topology optimization is performed in a layerwise manner such that the individual laminate plies are allowed to have their individual topologies. In the first approach, a heuristic optimization algorithm is applied: starting from an oversized initial design, this algorithm iteratively removes single layer material at locations where it is not seriously needed. In the second approach, a genetic algorithm has been developed that adapts the material distribution and the local reinforcement directions to the given structural needs. Two examples of laminate structures show the effectiveness of the proposed algorithms.

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