Efficient optimal design-under-uncertainty of passive structural control devices

Subhayan De, Steven F. Wojtkiewicz, Erik A. Johnson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper proposes a computationally efficient framework for design optimization under uncertainty for structures with local nonlinearities. To reduce the high computational cost of Monte Carlo simulation of such problems, an exact model reduction to a low-order Volterra integral equation is used to accelerate each simulation, and variance-reduced sampling is used to reduce the number of simulations required for the uncertainty quantification. This optimization framework is applied to a benchmark cable-stayed bridge problem, designing one pair of passive tuned mass dampers given a pair of uncertain passive power law dampers, providing significant gains in computational efficiency, two orders of magnitude, compared to traditional approaches.

Original languageEnglish (US)
Title of host publication12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015
PublisherUniversity of British Columbia
ISBN (Electronic)9780888652454
StatePublished - 2015
Externally publishedYes
Event12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012 - Vancouver, Canada
Duration: Jul 12 2015Jul 15 2015

Publication series

Name12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015

Conference

Conference12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012
Country/TerritoryCanada
CityVancouver
Period7/12/157/15/15

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Statistics and Probability

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