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A reduced modal subspace approach for damped stochastic dynamic systems

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journal contribution
posted on 2021-09-28, 09:09 authored by Stavros Kasinos, Alessandro Palmeri, Mariateresa Lombardo, S Adhikari
A novel method for characterising and propagating system uncertainty in structures subjected to dynamic actions is proposed, whereby modal shapes, frequencies and damping ratios constitute the random quantities. The latter, defined in the modal subspace rather than the full geometrical space, reduce the number of the random variables and the size of the dynamic problem. A numerical procedure is presented for their identification by calibrating their probabilistic definition in line with the geometrical space. A high-order perturbation technique is proposed for the multi-fidelity response quantification by means of an ad hoc extension of the conventional perturbation method. The approach involves a set of auxiliary deterministic differential equations to be adaptively solved with the piecewise exact method, and moment-cumulant relationships are employed to approximate high-order moments. Finally, a polynomial chaos expansion approach is adopted to complement the second-moment analysis for spectral quantification with the modal subspace reduction. Demonstrated on a multi-storey steel frame with semi-rigid connections and a simply supported bridge subjected to a moving load, the proposed variants exhibit improved performance with respect to the conventional second-order and improved perturbation, as well as increased flexibility, enabling the analyst to decide, on-demand, the level of fidelity, balancing accuracy and computational effort.

History

School

  • Architecture, Building and Civil Engineering

Published in

Computers & Structures

Volume

257

Publisher

Elsevier

Version

  • AM (Accepted Manuscript)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in the journal Computers & Structures and the definitive published version is available at https://doi.org/10.1016/j.compstruc.2021.106651.

Acceptance date

2021-08-04

Publication date

2021-09-17

Copyright date

2021

ISSN

0045-7949

Language

  • en

Depositor

Dr Alessandro Palmeri. Deposit date: 27 September 2021

Article number

106651

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