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Transient response analysis of randomly parametrized finite element systems based on approximate balanced reduction

Kundu, Abhishek, Adhikari, S. and Friswell, M. I. 2015. Transient response analysis of randomly parametrized finite element systems based on approximate balanced reduction. Computer Methods in Applied Mechanics and Engineering 285 , pp. 542-570. 10.1016/j.cma.2014.11.007

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Abstract

A model order reduction scheme of the transient response of large-scale randomly parametrized linear finite element system in state space form has been proposed. The reduced order model realization is aimed at preserving the invariant properties of the dynamic system model based on the dominant coupling characteristics of the specified system inputs and outputs. An a-priori model reduction strategy based on the balanced truncation method has been proposed in conjunction with the stochastic spectral Galerkin finite element method. Approximation of the dominant modes of the controllability Gramian has been performed with iterative Arnoldi scheme applied to Lyapunov equations. The reduced order representation of the randomly parametrized dynamical system has been obtained with Arnoldi–Lyapunov vector basis using an implicit time stepping algorithm. The performance and the computational efficacy of the proposed scheme has been illustrated with examples of randomly parametrized advection–diffusion–reaction problem under the action of transient external forcing functions. The convergence of the proposed reduced order scheme has been shown with a-posteriori error estimates.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords: Stochastic transient response; Balanced truncation; Stochastic spectral Galerkin; Controllability Gramian
Publisher: Elsevier
ISSN: 0045-7825
Date of Acceptance: 5 November 2014
Last Modified: 11 Mar 2019 11:12
URI: http://orca.cf.ac.uk/id/eprint/73401

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