Paper
27 March 2012 Optimal design of viscous damper connectors for adjacent structures using genetic algorithm and Nelder-Mead algorithm
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Abstract
Passive dampers can be used to connect two adjacent structures in order to mitigate earthquakes induced pounding damages. Theoretical and experimental studies have confirmed efficiency and applicability of various connecting devices, such as viscous damper, MR damper, etc. However, few papers employed optimization methods to find the optimal mechanical properties of the dampers, and in most papers, dampers are assumed to be uniform. In this study, we optimized the optimal damping coefficients of viscous dampers considering a general case of non-uniform damping coefficients. Since the derivatives of objective function to damping coefficients are not known, to optimize damping coefficients, a heuristic search method, i.e. the genetic algorithm, is employed. Each structure is modeled as a multi degree of freedom dynamic system consisting of lumped-masses, linear springs and dampers. In order to examine dynamic behavior of the structures, simulations in frequency domain are carried out. A pseudo-excitation based on Kanai-Tajimi spectrum is used as ground acceleration. The optimization results show that relaxing the uniform dampers coefficient assumption generates significant improvement in coupling effectiveness. To investigate efficiency of genetic algorithm, solution quality and solution time of genetic algorithm are compared with those of Nelder-Mead algorithm.
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Kasra Bigdeli, Warren Hare, and Solomon Tesfamariam "Optimal design of viscous damper connectors for adjacent structures using genetic algorithm and Nelder-Mead algorithm", Proc. SPIE 8341, Active and Passive Smart Structures and Integrated Systems 2012, 83410M (27 March 2012); https://doi.org/10.1117/12.915471
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Cited by 5 scholarly publications.
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KEYWORDS
Buildings

Genetic algorithms

Connectors

Earthquakes

Tolerancing

Optimization (mathematics)

Cadmium

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