Damper placement optimization in a shear building model with discrete design variables: a mixed‐integer second‐order cone programming approach |
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| Authors: | Yoshihiro Kanno |
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| Institution: | Department of Mathematical Informatics, University of Tokyo, , Tokyo, 113‐8656 Japan |
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| Abstract: | Supplemental damping is known as an efficient and practical means to improve seismic response of building structures. Presented in this paper is a mixed‐integer programming approach to find the optimal placement of supplemental dampers in a given shear building model. The damping coefficients of dampers are treated as discrete design variables. It is shown that a minimization problem of the sum of the transfer function amplitudes of the interstory drifts can be formulated as a mixed‐integer second‐order cone programming problem. The global optimal solution of the optimization problem is then found by using a solver based on a branch‐and‐cut algorithm. Two numerical examples in literature are solved with discrete design variables. In one of these examples, the proposed method finds a better solution than an existing method in literature developed for the continuous optimal damper placement problem. Copyright © 2013 John Wiley & Sons, Ltd. |
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| Keywords: | optimal damper placement aseismic design transfer function structural control mixed‐integer programming global optimization |
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