The Effect of Intelligent Semi-Active Thermal Exchange- Fuzzy Inference System in Structural Seismic Rehabilitation

Document Type : Regular Paper


1 Department Of Civil Engineering, College of Technical and Engineering, Parand Branch, Islamic Azad University,Parand, Iran.

2 Department of Civil Engineering, East Tehran Branch, Islamic Azad University, Tehran, Iran.


The effect of intelligent semi-active thermal exchange-fuzzy controller in structural rehabilitation by attenuating seismic responses of structural systems is investigated. In the suggested structural controller, MR dampers and their sensors are employed as a semi-active controller. Resultant control forces of MR damper are administrated by providing external voltage supply during the earthquakes and high intensity winds. Moreover, a novel evolutionary algorithm of thermal exchange (TE) is applied to compute the optimal location and the quantity of Magnetorheological (MR) dampers and their sensors with regard to minimizing resultant vibration magnitude. An optimal semi-active Thermal Exchange-Fuzzy Controller (TE-FC) has been suggested to administrate MR damper ingeniously. Results of numerical simulations illustrate the efficiency of suggested control system. The TE-FC can determine the optimal control arrangement and forces during a reasonable number of iterations. In comparison of the performance of various control strategies, the TE-FC demonstrates that economical cost and rehabilitation properties of the building could be optimized simultaneously. The TE-FC managed the optimal control forces online during strong ground motion, to attenuate the excessive responses in several rehabilitated buildings. Consequently, the TE-FC could improve the reliability of rehabilitated structure in comparison with passive and offline controllers. The significant efficiency of optimal arrangement of dampers and sensors over uniformly distribution of damper and sensors is presented as well.


Main Subjects

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Volume 7, Issue 1 - Serial Number 13
February 2019
Pages 49-69
  • Receive Date: 31 May 2017
  • Revise Date: 07 November 2017
  • Accept Date: 05 February 2018
  • First Publish Date: 01 February 2019