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A retrofitting method for torsionally sensitive buildings using evolutionary algorithms

  • Efstathakis, Nikos C. (Lab of Reinforced Concrete and Masonry Structures, School of Civil Engineering, Aristotle University of Thessaloniki) ;
  • Papanikolaou, Vassilis K. (Lab of Reinforced Concrete and Masonry Structures, School of Civil Engineering, Aristotle University of Thessaloniki)
  • Received : 2016.12.20
  • Accepted : 2017.03.11
  • Published : 2017.03.25

Abstract

A new method is suggested for the retrofitting of torsionally sensitive buildings. The main objective is to eliminate the torsional component from the first two natural modes of the structure by properly modifying its stiffness distribution via selective strengthening of its vertical elements. Due to the multi-parameter nature of this problem, state-of-art optimization schemes together with an ad-hoc software implementation were used for quantifying the required stiffness increase, determine the required retrofitting scheme and finally design and analyze the required composite sections for structural rehabilitation. The performance of the suggested method and its positive impact on the earthquake response of such structures is demonstrated through benchmark examples and applications on actual torsionally sensitive buildings.

Keywords

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