Search published articles


Showing 1 results for Vababzadeh

Ch Gheyratmand, S. Gholizadeh , B. Vababzadeh,
Volume 5, Issue 2 (3-2015)
Abstract

A new meta-heuristic algorithm is proposed for optimal design of reinforced concrete (RC) frame structures subject to combinations of gravity and lateral static loads based on ACI 318-08 design code. In the present work, artificial bee colony algorithm (ABCA) is focused and an improved ABCA (IABCA) is proposed to achieve the optimization task. The total cost of the RC frames is minimized during the optimization process subject to constraints on demand capacity ratios (DCRs) of structural members. Three benchmark design examples are tested using ABCA and IABCA and the results are compared with those of presented in the literature. The numerical results indicate that the proposed IABCA is an efficient computational tool for discrete optimization of RC frames.

Page 1 from 1     

© 2019 All Rights Reserved | Iran University of Science & Technology

Designed & Developed by : Yektaweb