Selection and scaling of spectrum-compatible ground motion records using hybrid coded genetic algorithms

Document Type : Article

Authors

1 Department of Civil Engineering, University of Tabriz, Tabriz, Iran.

2 East Azarbaijan Science & Research Branch, Islamic Azad University, Tabriz, Iran.

Abstract

This paper presents a new searching framework for optimal scaling of earthquake ground motion records as inputs for dynamics analysis. Two hybrid-coded Genetic Algorithms (GA), named real-permutation and binary-permutation GA, are eff ectively used to solve an applicable optimization problem in earthquake engineering field. Methodologies are outlined to choose a set of ground motions, with a good level of t to the design spectrum, and the corresponding scales simultaneously during a hybrid-coded process. The eff ects of di erent parameters used in design of algorithms are investigated through sensitivity analysis to suggest a set of proper input values. Analysis showed that the sensitivity of the binary-permutation GA results to input parameters variations is less than that of real-permutation GA. The paper also concludes that binary-permutation GA is slightly more reliable than real-permutation GA; accordingly, it is recommended as a
suitable algorithm to select and scale spectrum-compatible ground motion records.

Keywords

Main Subjects

Scientia Iranica
Volume 24, Issue 3
Transactions on Civil Engineering (A)
May and June 2017
Pages 910-925

Files

History

  • Receive Date: 22 June 2015
  • Revise Date: 22 November 2015
  • Accept Date: 25 April 2016

Share

How to cite

Statistics