@inproceedings{c9962717388747ea97a2025db6740468,
title = "The use of parametric reduced-order models in stochastic structural dynamics: Application to uncertainty propagation analysis",
abstract = "An efficient formulation for uncertainty propagation analysis of complex structural models is presented. The formulation is based on parametric reduced-order models. Fixed-interface normal modes and interface modes are approximated in terms of a set of support points in the uncertain parameter space. The potential time-consuming step of computing the modes for different values of the model parameters needs to be performed only at those support points. Based on these approximate modes, reduced-order matrices can be updated efficiently during the simulation process associated with the uncertainty propagation analysis. The effectiveness of the proposed parametric model reduction technique is demonstrated by means of an application problem.",
keywords = "Finite element models, Interface reduction, Reduced-order models, Structural dynamics, Uncertainty propagation",
author = "Jensen, {H. A.} and F. Mayorga and Jerez, {D. J.} and Valdebenito, {M. A.}",
note = "Publisher Copyright: {\textcopyright} 2019 European Safety and Reliability Association. Published by Research Publishing, Singapore.; 29th European Safety and Reliability Conference, ESREL 2019 ; Conference date: 22-09-2019 Through 26-09-2019",
year = "2020",
doi = "10.3850/978-981-11-2724-3_0653-cd",
language = "English",
series = "Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019",
publisher = "Research Publishing Services",
pages = "2754--2760",
editor = "Michael Beer and Enrico Zio",
booktitle = "Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019",
}