Skip to main navigation Skip to search Skip to main content

Wind-resistant optimal design of tall buildings based on improved genetic algorithm

  • Yi Li*
  • , Ru-Biao Duan
  • , Qiu-Sheng Li*
  • , Yong-Gui Li
  • , Xuan Huang
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Modern tall buildings are likely sensitive to wind excitations due to their increasing height and structural flexibility. Proper or optimal wind-resistant structural design of such high-rise buildings is required or sometimes necessary to meet the requirement of safety and serviceability. Combining a genetic algorithm (GA) with improved penalty function and calculation method for equivalent static wind loads (ESWLs), this paper presents an optimal procedure for the wind-resistant design of tall buildings, which aims to minimize the total weight of the designed building subject to the constraints of top acceleration and lateral drifts. A penalty function is utilized to deal with the implicit expressed constraints of optimization. The ESWLs can be instantaneously updated due to the change of structural dynamic properties during the optimal design process. A 60-story rectangular reinforced concrete frame structure with the same geometric shape of the CAARC standard tall building is adopted to verify the feasibility of the presented method. The example demonstrates that the proposed optimal design procedure is an effective tool for the wind-resistant optimal design of tall buildings.
Original languageEnglish
Pages (from-to)2182-2191
JournalStructures
Volume27
Online published17 Aug 2020
DOIs
Publication statusPublished - Oct 2020

Research Keywords

  • Genetic algorithm
  • Optimization
  • Tall building
  • Wind load
  • Wind-induced response
  • Wind-resistant design

Fingerprint

Dive into the research topics of 'Wind-resistant optimal design of tall buildings based on improved genetic algorithm'. Together they form a unique fingerprint.

Cite this