Techno Press
You logged in as Techno Press

Earthquakes and Structures
  Volume 14, Number 1, February 2018, pages 001-10
DOI: http://dx.doi.org/10.12989/eas.2018.14.1.001
 


Comparison between uniform deformation method and Genetic Algorithm for optimizing mechanical properties of dampers
Reza Karami Mohammadi, Maryam Mirjalaly, Masoud Mirtaheri and Meissam Nazeryan

 
Abstract
    Seismic retrofitting of existing buildings and design of earth-quake resistant buildings are important issues associated with earthquake-prone zones. Use of metallic-yielding dampers as an energy dissipation system is an acceptable method for controlling damages in structures and improving their seismic performance. In this study, the optimal distribution of dampers for reducing the seismic response of steel frames with multi-degrees freedom is presented utilizing the uniform distribution of deformations. This has been done in a way that, the final configuration of dampers in the frames lead to minimum weight while satisfying the performance criteria. It is shown that such a structure has an optimum seismic performance, in which the maximum structure capacity is used. Then the genetic algorithm which is an evolutionary optimization method is used for optimal arrangement of the steel dampers in the structure. In continuation for specifying the optimal accurate response, the local search algorithm based on the gradient concept has been selected. In this research the introduced optimization methods are used for optimal retrofitting in the moment-resisting frame with inelastic behavior and initial weakness in design. Ultimately the optimal configuration of dampers over the height of building specified and by comparing the results of the uniform deformation method with those of the genetic algorithm, the validity of the uniform deformation method in terms of accuracy, Time Speed Optimization and the simplicity of the theory have been proven.
 
Key Words
    metallic-yielding damper; optimal outline configuration of dampers; optimal retrofitting; uniform deformation method; Genetic Algorithm
 
Address
Reza Karami Mohammadi, Maryam Mirjalaly, Masoud Mirtaheri: Department of Civil Engineering, K.N. Toosi University of Technology, 470 Mirdamad Ave.West, Tehran, Iran
Meissam Nazeryan: Department of Civil Engineering, Sharif University of Technology, Azadi Ave., Tehran, Iran
 

Techno-Press: Publishers of international journals and conference proceedings.       Copyright © 2021 Techno Press
P.O. Box 33, Yuseong, Daejeon 305-600 Korea, Tel: +82-42-828-7996, Fax : +82-42-828-7997, Email: info@techno-press.com