Data Paper: E-Defense Shake-Table Tests on a Steel Moment-Resisting Frame Supplemented With Spines and Force-Limiting Connections

  • Yi Qie
  • , Bryam Astudillo
  • , Jessica Duncan
  • , Zhuoqi Tao
  • , Taichiro Okazaki
  • , Larry Fahnestock
  • , Richard Sause
  • , James Ricles
  • , Barbara Simpson
  • , Masahiro Kurata
  • , Yohsuke Kawamata
  • , Kohei Hattori

Research output: Contribution to journalArticlepeer-review

Abstract

This data paper presents data obtained from E-Defense shake-table tests of a full-scale, steel moment-resisting frame (MRF) supplemented with Spines. Herein, the Spines were pin-based columns with sufficient stiffness and strength to distribute plastic deformation evenly over the height of the MRF. The specimen was tested under two configurations: first, with the Spine rigidly connected to the MRF; second, with the Spine connected to the MRF through force-limiting connections (FLCs). Each specimen configuration underwent earthquake simulations using ground motions with two scale factors. The tests demonstrated the expected benefits of Spines as well as the disadvantage of inducing large floor accelerations in the structure and large shear forces in the Spines. The tests also demonstrated how the FLCs can mitigate these disadvantages. This data paper reports an overview of the tests, data archive structure, and potential use of the data. The data can be used, for example, to reproduce the observations presented by the authors, to compare the dynamic response of the specimen with building specimens tested in other shake-table test programs, to validate numerical models against the measured specimen response, or to formulate classroom exercises on system identification of linear and nonlinear systems.

Original languageEnglish (US)
Article numbere70036
JournalJapan Architectural Review
Volume8
Issue number1
DOIs
StatePublished - Jan 1 2025

Keywords

  • data
  • higher modes
  • nonlinear response
  • shake-table test
  • spine
  • steel building

ASJC Scopus subject areas

  • Environmental Engineering
  • Architecture
  • Modeling and Simulation

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