Predictive models for the median and variability of building period and damping

William P. Fritz, Nicholas P. Jones, Takeru Igusa

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

There are two goals in this paper: (1) the presentation of a comprehensive database of over 4,000 fundamental period and damping measurements from nearly 1,000 buildings; and (2) the derivation of predictive models for period and damping. The modeling approach presented in the companion paper, which accounts for the statistically nonconforming properties that characterize building data, is used herein to derive models which include two intrinsic sources of variability: that associated with multiple measurements from different excitations on the same building and variability between buildings that are nominally identical. The period models are in general agreement with those currently used, with model parameters that are in terms of height, material, and lateral force resisting system. The damping models show a decrease in damping as building height increases and, for steel and reinforced structures, a twofold increase in damping for earthquake excitations as opposed to other, lower amplitude excitations.

Original languageEnglish (US)
Pages (from-to)576-586
Number of pages11
JournalJournal of Structural Engineering
Volume135
Issue number5
DOIs
StatePublished - Apr 27 2009

Keywords

  • Buildings
  • Damping
  • Databases
  • Predictions

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering

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