Model Uncertainty for Bilinear Hysteric Systems

John Dalsgaard Sørensen, Palle Thoft-Christensen

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Abstract

In structural reliability analysis at least three types of uncertainty must be considered, namely physical uncertainty, statistical uncertainty, and model uncertainty (see e.g. Thoft-Christensen & Baker [1]). The physical uncertainty is usually modelled by a number of basic variables by predictive density functions, Veneziano [2]. In general, model uncertainty is the uncertainty connected with mathematical modelling of the physical reality.

When structural reliability analysis is related to the concept of a failure surface (or limit state surface) in the n-dimension basic variable space then model uncertainty is at least due to the neglected variables, the modelling of the failure surface and the computational technique used.
Original languageEnglish
Place of PublicationAalborg
PublisherInstitute of Building Technology and Structural Engineering
Number of pages16
Publication statusPublished - 1983
EventThe Proceedings of System Modelling and Optimization - Copenhagen, Denmark
Duration: 25 Jul 198329 Jul 1983
SeriesStructural Reliability Theory
Number1
VolumeIFB/A 8301

Conference

ConferenceThe Proceedings of System Modelling and Optimization
CountryDenmark
CityCopenhagen
Period25/07/198329/07/1983

Bibliographical note

Presented at the 11th IFIP Conference on "System and Optimization", Copenhagen, July, 1983. Proceedings published by Springer-Verlag, 1984

PDF for print: 16 pp.

Keywords

  • Limit State Surface
  • Failure Surface
  • Computational Technique
  • Model Uncertainty
  • Statistical Uncertainty
  • Physical Uncertainty
  • Hysteresis
  • Dynamic Load
  • Stochastic Process

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