Abstract:
Aiming at various genetic algorithms commonly used in composite layer optimization, it is difficult to comprehensively consider complex engineering constraints such as surface 45 degrees, layering ratio, and continuous layer number limit, this paper proposes an isogenic sequence double random genetic algorithm for composite laminates, which can consider the layering in the optimization. Complex engineering constraints such as ratio, continuous layup limit, adjacent layup angle, surface laying ±45°, etc., the introduction of double random algorithms in the exchange and mutation operators ensures the strict equality of gene sequences in the optimization iteration, and based on the SABRE software The optimization method is realized, the results of calculation and application show that the proposed method can fit complex engineering constraints such as balance, symmetry, surface 45 degrees, continuous ply number limit, ply ratio, etc., and has high reliability and engineering applicability.
