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Identification of inelastic shear frames using the prandtl-ishlinskii model

Farrokh, M ; Sharif University of Technology | 2009

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  1. Type of Document: Article
  2. Publisher: 2009
  3. Abstract:
  4. In this paper, a new method is proposed for identification of inelastic shear frame structures with hesteresis, using data collected on their dynamic response. It uses the. Prandtl-Ishlinskii rate independent model for hysteresis, which was originally used in the field of plasticity and ferromagnetism. The proposed identification method is capable, of identifying the. mass, damping and restoring force of a frame, structure, which can be. used in forming the. equations of motion of the.frame. By solving the equations of motion, the. dynamic response is predicted. The method is based on the.combined use. of Quadratic Programming (QP) and Genetic Algorithms (GA). First, assuming a set of Prandtl-Ishlinskii constants, the. QP is used to find the best frame parameters that can be used in its equations of motion to predict its dynamic response with the minimum of error compared to the real data collected on its dynamic response, while the GA is used to find the. best Prandtl-Ishlinskii constants for more, reduction in error. The. method has been applied to different frames with bilinear nonlinearity where the. results show the high capability of the method. Two examples, a Single and a Multi Degree Of Freedom (SDOF and MDOF) frame, are included in the paper. © Sharif University of Technology
  5. Keywords:
  6. Earthquake ; Identification ; Inelastic behavior ; Prandtl-Ishlinskii model ; Structural dynamic ; A-frames ; Identification method ; Independent model ; Multi degree-of-freedom ; Non-Linearity ; Restoring forces ; Shear frame structures ; Shear frames ; Control nonlinearities ; Dynamic response ; Earthquakes ; Genetic algorithms ; Mechanics ; Structural dynamics ; Equations of motion ; Data acquisition ; Earthquake engineering ; Elasticity ; Genetic algorithm ; Nonlinearity ; Numerical model ; Shear stress ; Structural analysis ; Structural response
  7. Source: Scientia Iranica ; Volume 16, Issue 1 A , 2009 , Pages 43-49 ; 10263098 (ISSN)
  8. URL: http://scientiairanica.sharif.edu/article_3177.html