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Designing optimal tuned mass dampers for nonlinear frames by distributed genetic algorithms

Mohebbi, M ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.1002/tal.702
  3. Publisher: 2012
  4. Abstract:
  5. In this paper, the capabilities of tuned mass dampers (TMDs) for the mitigation of response of nonlinear frame structures subjected to earthquakes have been studied. To determine the optimal parameters of a TMD, including its mass, stiffness and damping, we developed an optimization algorithm based on the minimization of a performance index, defined as a function of the response of the nonlinear structure to be controlled. Distributed genetic algorithm has been used to solve the optimization problem. For illustration, the method has been applied to the design of a linear TMD for an eight-story nonlinear shear building with bilinear hysteretic material behavior subjected to earthquake. The results have shown that the method has been successful in determining the TMD parameters to reduce the structure response. The simplicity and desirable convergence behavior of the method have also been two important results of the method. Two performance indices have been defined: (a) the minimization of the maximum drift and (b) the accumulated hysteretic energy. It has also been shown that the efficiency of the TMD has been influenced by the mass ratio of the TMD, the maximum TMD stroke length and the TMD design earthquake
  6. Keywords:
  7. Accumulated hysteretic energy (AHE) ; Distributed genetic algorithm (DGA) ; Tuned mass damper (TMD) ; Distributed genetic algorithms ; Hysteretic energy ; Nonlinear ; Passive control ; Tuned mass dampers ; Acoustic devices ; Damping ; Earthquakes ; Genetic algorithms ; Hysteresis ; Optimization ; Stiffness ; Vibration control ; Structural design
  8. Source: Structural Design of Tall and Special Buildings ; Volume 21, Issue 1 , 2012 , Pages 57-76 ; 15417794 (ISSN)
  9. URL: http://onlinelibrary.wiley.com/doi/10.1002/tal.702/abstract;jsessionid=90674DC5FB8256EF1848FAF3022CBDCA.f01t04