The present paper shows the development of an efficient, fast and reliable optimizer for composite and metallic parts of lightweight structures. The algorithm aims at identifying the optimal configuration of different structural parts concerning thickness, fibre orientation, number of plies, etc. This leads to mass savings and also a decrease of the development time in the structural dimensioning phase. Due to the limited applicability of classical optimization algorithms like gradient based or evolutionary methods in case of large Finite Element models with a high number of design variables, a novel approach is presented where the optimization problem is tackled by a heuristic adaption procedure on element level.
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