A Hybrid Spectral and Metamodeling Approach for the Stochastic Finite Element Analysis of Structural Dynamic Systems
A Kundu (Swansea University), FA Diaz de la O (University of Liverpool), S Adhikari & MI Friswell (Swansea University)
Computer Methods in Applied Mechanics and Engineering, Vol. 270, March 2014, pp. 201-219
A novel approach for uncertainty propagation and response statistics estimation of randomly parameterized structural dynamic systems is developed in this paper. The frequency domain response of a stochastic finite element system is resolved at randomly sampled design points in the input stochastic space with an infinite series expansion using preconditioned stochastic Krylov bases. The system response is expressed in the eigenvector space of the structural system weighted with finite order rational functions of the input random variables, termed spectral functions. The higher the order of the spectral functions, the more accurate is the order of approximation of the stochastic system response. However, this increased accuracy comes at a computational cost. This cost is mitigated by using a Bayesian metamodel. The proposed approach is used to the analyze the stochastic vibration response of a corrugated panel with random elastic parameters. The results obtained with the proposed hybrid approach are compared with direct Monte Carlo simulations, which have been considered as the benchmark solution.
This material has been published in the Composite Structures, Vol. 270, March 2014, pp. 201-219, the only definitive repository of the content that has been certified and accepted after peer review. Copyright and all rights therein are retained by Elsevier.
Link to paper using doi: 10.1016/j.cma.2013.11.013
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