Abstract
An immune genetic algorithm (IGA) is proposed to optimize the reinforced concrete (RC) frame-shear wall structures. Compared with the simple genetic algorithm (SGA), this algorithm has adaptive search capabilities for the future knowledge being used in the process of population evolution. Since the concrete grade of floors and the layout of walls are translated to binary codes, the implementation of this algorithm is not affected by the complexity of the structures. With I-typed vaccine, the continuous vertical stiffness of structure is ensured; With II-typed vaccine, the structures conforms to all the specifications which including floor shift angle, floor displacement ratio and period ratio. At the element level, the optimizing results satisfy all the specifications required by the current Chinese Codes. In this way, a computer program is created to get optimum design schemes.
Highlights
Researches on the optimization for reinforcement concrete (RC) frame-shear wall structures have been carried out by a lot of domestic and foreign scholars due to its wide application
Liu [3] stated that shear distribution of frames and shear walls are related to the stiffness characteristic value. They gave the formulas to describe the relationship between shear distribution and
A computer program is created to optimizing RC frame-shear wall structures via the introduced immune genetic algorithm (IGA) realized designing the layout of walls automatically
Summary
Researches on the optimization for reinforcement concrete (RC) frame-shear wall structures have been carried out by a lot of domestic and foreign scholars due to its wide application. M. Chan [7] optimized the stiffness of a frame-shear wall structure via genetic algorithm, Q. Genetic algorithm as the representative, have parallel computing capacity They can obtain the optimization space automatically and adjust the search direction adaptively. The bionic algorithm can get the global optimal solution of the problems whose solution set is non monotonic variation in the space, as shown in Fig. Immune Genetic Algorithm for Optimizing Reinforced-Concrete layout on lateral resistant ability and the torsion resistant ability of the frame-shear wall structures is nonlinear and non monotonic, which is too complex to the traditional optimization methods, so the bionics algorithm should be used. The cost of steel bars is calculated according to their number and diameter
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