Reduced-order modeling via proper generalized decomposition for uncertainty quantification of frequency response functions-Reference-Cited by-同舟云学术

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Reduced-order modeling via proper generalized decomposition for uncertainty quantification of frequency response functions

Published:2022-11 Issue: Volume:401 Page:115643
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Lee Gil-Yong,Park K.C.,Park Yong-Hwa

Funder

Ministry of Science, ICT and Future Planning

Korea Institute of Energy Technology Evaluation and Planning

Ministry of Trade, Industry and Energy

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference37 articles.

1. The stochastic finite element method: past, present and future;Stefanou;Comput. Methods Appl. Mech. Engrg.,2009

2. Robust and efficient methods for stochastic finite element analysis using Monte Carlo simulation;Papadrakakis;Comput. Methods Appl. Mech. Engrg.,1996

3. High-dimensional integration: the quasi-Monte Carlo way;Dick;Acta Numer.,2013

4. Annealed importance sampling;Neal;Stat. Comput.,2001

5. Stochastic Finite Elements: A Spectral Approach;Ghanem,2003

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