>
Fa   |   Ar   |   En
   identification of ibarra-medina- krawinkler hysteresis model parameters using particle swarm optimization algorithm  
   
DOR 20.1001.2.9819010854.1398.8.1.392.9
نویسنده hosseini asl seyed mohammad javad ,mahdavi seyed hossein ,rahimzadeh rofoei fayaz
منبع كنفرانس بين المللي زلزله شناسي و مهندسي زلزله - 1398 - دوره : 8 - هشتمین کنفرانس زلزله شناسی و مهندسی زلزله - کد همایش: 98190-10854 - صفحه:1 -2
چکیده    In order to have an accurate evaluation of the performance of the structures and to achieve an optimum structural design against dynamic loading, it is necessary to have analytical models that consider all significant aspects in the behavior of structural materials. the hysteresis curves provide essential information about the dynamic properties thatdirectly contribute to the behavior of the actual structures during an induced seismic load.
کلیدواژه hysteresis ,nonlinear structural identification ,particle swarm optimization ,deterioration
آدرس sharif university of technology, iran, sharif university of technology, iran, sharif university of technology, iran
پست الکترونیکی rofooei@sharif.edu
 
     
   
Authors
  
 
 

Copyright 2023
Islamic World Science Citation Center
All Rights Reserved