Time-domain seismic reliability of nonlinear structures

Achintya Haldar, Jungwon Huh, Ali Mehrabian

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


A novel reliability analysis technique is presented to estimate the reliability of real structural systems. Its unique feature is that the dynamic loadings can be applied in time domain. It is a nonlinear stochastic finite element logarithm combined with the response surface method (RSM). It generates the response surface around the most probable failure point and incorporates information of the distribution of the random variables in the RSM formulation. It is verified using the Monte Carlo simulation technique, and is found to be very efficient and accurate. Most sources of nonlinearlity and uncertainty can be explicitly incorporated in the formulation. The flexibility of connections, represented by moment-relative rotation (M-θ) curves, is addressed. After the Northridge earthquake of 1994, several improved steel connections were proposed. Structural Sesimic Design Associates (SSDA) tested several full-scale proprietory slotted web beam-column connections. The authors suggested (M-θ) curves for this connection using actual test data. Behaviours of steel frames, assuming the connections are fully restrained, partially restrained, consisting of pre- and post-Northridge connections are evaluated and compared. Desirable features of the post-Northridge connections observed during testing are analytically confirmed. Laterally weak steel frame is then strengthened with concrete shear walls. Capabilities and the advanced nature of the method are demonstrated with the help of realistic examples.

Original languageEnglish (US)
Pages (from-to)359-382
Number of pages24
JournalSadhana - Academy Proceedings in Engineering Sciences
Issue number4
StatePublished - 2006


  • Nonlinear response
  • Partially restrained connections
  • Reliability analysis
  • Seismic analysis
  • Shear walls
  • post-Northridge connections

ASJC Scopus subject areas

  • General


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