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The Performance of Unconventional Tuned Mass Dampers Designed by Hybrid Genetic Algorithm & Pattern Search in Structures with Nonlinear Behavior

Khorsand, Saeed | 2014

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 46882 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Rahimzadeh Rofouei, Fayyaz
  7. Abstract:
  8. Tuned Mass Damper (TMD) is one of the most popular device implemented in structures in order to control the motion induced by wind. The performance of TMD has correlation with its design, which is depending on the Structure dynamic properties as well as the specifications of lateral loading. During the earthquake since the both of the mentioned parameters will be uncertain, hence, the reduction of TMD’s sensitivity to its design parameters is vital. In this regard, in 2012, Maurizio De Angelis et al. tested the unconventional TMD – it has a large mass ratio – and corroborated its merit. The results were limited to short structures with linear behavior. This research not only verified the unconventional TMD’s merit in the short, middle and tall structures with nonlinear behavior but also proposed the adaptive and robust method for designing it with Hybrid Genetic Algorithm & Pattern Search. The unconventional TMD’s merit is verified by its capability to reduce – for 10% Exceedance probabilities is up to 60% - the Exceedance probabilities for absolute acceleration and displacement drift for the stories as well as the forces of the structural members of the 1, 5 & 10-story structures as well as the 9-story structure belonging to SAC Project in California
  9. Keywords:
  10. Combinatorial Optimization ; Nonlinear Behavior ; Structural Control ; Genetic Algorithm ; Tuned Mass Damper (TMD) ; Pattern Search Algorithm ; Exceedance probability

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