| This paper referenced the combination of the genetic algorithm and the evolutionary structural optimization in the genetic evolutionary structural optimization, proposed a new algorithm-the genetic adding evolutionary structural optimization, based on the adding evolutionary structural optimization and the genetic algorithm. The new algorithm used the genetic theory of biological evolution in the selection of the adding around materials. Then the pepper applied it with the nonlinear analysis platform in ANSYS, used the reinforced-concrete separate model to explore the reinforcement layout optimization design of complex-stress members.It completed the reinforcement layout optimization design intuitively in some deep beams, deep beams with opening and shear walls with opening under the loads and some stress constraints. The results accord with the stress mechanism, it evolved in the right direction and the reinforcement layout arrange clearly. Compared with the outcome of the genetic evolutionary structural optimization, the results confirms the feasibility and the accuracy, the versatility of the new algorithm. The new algorithm can provides a advising and a reference to the design of reinforcement in concrete. The main contents include:(1) Referenced extensive literature, the paper summed up the structure optimization design method and design method of complex-stress members, described the genetic algorithm and the evolutionary structural optimization in detail, discussed the basic principle, the implementation steps and the advantages and disadvantages of such two algorithm. According to the combination of the genetic algorithm and the evolutionary structural optimization in the genetic evolutionary structural optimization, it lay a solid theoretical basis and foundation for the genetic adding evolutionary structural optimization.(2) On the basis of the adding evolutionary structural optimization, then introduced the genetic algorithm in it, the paper combined the genetic evolution thoughts with the adding unit in the adding evolutionary algorithm, proposed the genetic adding evolutionary structural optimization, and introduced the basic principles, the main content and implementation steps of it, for readers to understand and use.(3) Appling the genetic adding evolutionary optimization in the reinforcement layout optimization design of complex-stress members, using the ANSYS finite element analysis platform, the reinforced-concrete separate model, considering material nonlinearity and the elastic-plastic of the structure, the paper analyzed the reinforcement layout optimization design of complex-stress members like simply supported deep beam, simply supported deep beams with hole, shear wall with hole and others, for the goal of the maximize structural rigidity of the unit material. It used the strain energy sensitivity, the performance indices and the convergence criteria, to optimize the object of the reinforcement. Then compared to the outcome of the genetic evolutionary structural optimization, its result verified the feasibility, the accuracy, the effectiveness, the versatility of the genetic adding evolutionary structural optimization.(4)Extending the application of the genetic adding evolutionary optimization in the reinforcement layout optimization design of complex-stress members, the paper used the ANSYS finite element analysis platform, the reinforced-concrete separate model, considered material nonlinearity and the elastic-plastic of the structure, analyzed the reinforcement layout optimization design of complex-stress members like simply supported deep beam, simply supported deep beams with hole, shear wall with hole and others, for the goal of the lightest weight structure satisfied the stress constraints. It used the stress sensitivity and the convergence criteria, to optimize the object of the reinforcement. The result improved the versatility and the easy-use of the genetic adding evolutionary structural optimization. |
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