Interval spectral stochastic finite element analysis of structures with aggregation of random field and bounded parameters

Duy, Minh Do, Gao, Wei, Song, Chongmin and Beer, Michael ORCID: 0000-0002-0611-0345 (2016) Interval spectral stochastic finite element analysis of structures with aggregation of random field and bounded parameters. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 108 (10). pp. 1198-1229.

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Official URL: http://dx.doi.org/10.1002/nme.5251

Abstract

<jats:title>Summary</jats:title><jats:p>This paper presents the study on non‐deterministic problems of structures with a mixture of random field and interval material properties under uncertain‐but‐bounded forces. Probabilistic framework is extended to handle the mixed uncertainties from structural parameters and loads by incorporating interval algorithms into spectral stochastic finite element method. Random interval formulations are developed based on K–L expansion and polynomial chaos accommodating the random field Young's modulus, interval Poisson's ratios and bounded applied forces. Numerical characteristics including mean value and standard deviation of the interval random structural responses are consequently obtained as intervals rather than deterministic values. The randomised low‐discrepancy sequences initialized particles and high‐order nonlinear inertia weight with multi‐dimensional parameters are employed to determine the change ranges of statistical moments of the random interval structural responses. The bounded probability density and cumulative distribution of the interval random response are then visualised. The feasibility, efficiency and usefulness of the proposed interval spectral stochastic finite element method are illustrated by three numerical examples. Copyright © 2016 John Wiley & Sons, Ltd.</jats:p>

Item Type:	Article
Uncontrolled Keywords:	interval spectral stochastic finite element method, random field, hybrid uncertainty, interval random response, bounding probabilistic distribution functions
Depositing User:	Symplectic Admin
Date Deposited:	05 Apr 2018 09:50
Last Modified:	31 Oct 2023 02:39
DOI:	10.1002/nme.5251
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3019807