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A low-dimensional model for the aerodynamic shape optimization of tall buildings

  • Seymour M.J. Spence
  • , Enrica Bernardini
  • , Daniel Wei
  • , Sarah Bobby
  • , Ahsan Kareem
  • , Teng Wu
  • University of Notre Dame

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper the possibility of defining low-dimensional models for the assessment of aerodynamic measures of tall buildings is investigated. In particular a model is proposed based on reconstructing the spectral structure of the floor loads commencing from a limited set of data consisting of the integral forces acting on a few 2-dimensional slices of the building. The validity of the method is then tested by comparing the variances of aerodynamic measures, such as base moments, estimated with the proposed model from a subset of information derived from wind tunnel tests to a reference solution obtained from the complete wind tunnel information. The possibility of employing the proposed model together with computational fluid dynamics (CFD), used as a means for estimating the integral forces acting on each slice, is then investigated with the ultimate aim of incorporating the proposed model in a CFD-based aerodynamic shape optimization scheme for tall buildings.

Original languageEnglish
Title of host publication12th Americas Conference on Wind Engineering 2013, ACWE 2013
Subtitle of host publicationWind Effects on Structures, Communities, and Energy Generation
Pages1787-1797
Number of pages11
StatePublished - 2013
Event12th Americas Conference on Wind Engineering 2013: Wind Effects on Structures, Communities, and Energy Generation, ACWE 2013 - Seattle, WA, United States
Duration: Jun 16 2013Jun 20 2013

Publication series

Name12th Americas Conference on Wind Engineering 2013, ACWE 2013: Wind Effects on Structures, Communities, and Energy Generation
Volume3

Conference

Conference12th Americas Conference on Wind Engineering 2013: Wind Effects on Structures, Communities, and Energy Generation, ACWE 2013
Country/TerritoryUnited States
CitySeattle, WA
Period06/16/1306/20/13

Keywords

  • CFD
  • Shape optimization
  • Tall buildings
  • Wind load estimation

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