Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Computational Geometry for Design and Manufacture
Computational Geometry for Design and Manufacture
| Hi-index | 0.00 |
This paper presents a shape optimization approach for a low-yield steel shear panel damper to improve the deformation ability. A minimization problem of maximum cumulative equivalent plastic strain, an index of the deformation ability of the shear panel damper is formulated subject to a constraint of total absorbing energy. The response surface methodology as well as the design of experiment technique are applied to the optimization process. In this study, finite element analysis with iso-tropic/kinematic hardening model is adopted to simulate the cyclic elasto-plastic behavior instead of experimental approach, and the numerical solutions are validated by comparing with previous experimental results. With the numerical analysis, the shape parameters effects are investigated and second order polynomials are fitted to obtain the regression equations for the maximum cumulative equivalent plastic strain and the total absorbing energy. The final optimal shape is determined by using the established regression equations. The shape optimization approach can substantially improve the deformation capacity of the shear panel damper.