Browse

Uncertainty Propagation Analysis in Stochastic Structural Dynamics: A Parametric Substructure Approach

Cited 0 time in Web of Science Cited 0 time in Scopus
Authors
Jensen, Hector; Mayorga, Franco; Larenas, Claudio; Chen, Jianbing
Issue Date
2019-05-26
Citation
13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019
Abstract
A physical domain-based formulation of parametric reduced-order models based on dominant normal modes and interface reduction is presented in the context of uncertainty propagation analysis. Normal and interface modes are approximated in terms of a set of support points in the uncertain parameter space. Based on these approximate modes, reduced-order matrices can be updated efficiently during the simulation process associated with the uncertainty analysis. The proposed approach is applied to a complex nonlinear finite element model under a synthetic ground motion generated by a realistic source-based model for subduction mega-thrust earthquakes.
Language
English
URI
https://hdl.handle.net/10371/153288
DOI
https://doi.org/10.22725/ICASP13.070
Files in This Item:
Appears in Collections:
College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Civil & Environmental Engineering (건설환경공학부)ICASP13
  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse