Pryse, S. E. and Adhikari, S. (2021) Neumann enriched polynomial chaos approach for stochastic finite element problems. Probabilistic Engineering Mechanics, 66, 103157. (doi: 10.1016/j.probengmech.2021.103157)
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Abstract
An enrichment scheme based upon the Neumann expansion method is proposed to augment the deterministic coefficient vectors associated with the polynomial chaos expansion method. The proposed approach relies upon a split of the random variables into two statistically independent sets. The principal variability of the system is captured by propagating a limited number of random variables through a low-ordered polynomial chaos expansion method. The remaining random variables are propagated by a Neumann expansion method. In turn, the random variables associated with the Neumann expansion method are utilised to enrich the polynomial chaos approach. The effect of this enrichment is explicitly captured in a new augmented definition of the coefficients of the polynomial chaos expansion. This approach allows one to consider a larger number of random variables within the scope of spectral stochastic finite element analysis in a computationally efficient manner. Closed-form expressions for the first two response moments are provided. The proposed enrichment method is used to analyse two numerical examples: the bending of a cantilever beam and the flow through porous media. Both systems contain distributed stochastic properties. The results are compared with those obtained using direct Monte Carlo simulations and using the classical polynomial chaos expansion approach.
| Item Type: | Articles |
|---|---|
| Additional Information: | The authors acknowledge the financial support received from Engineering Research Network Wales, UK (one of three Sêr Cymru National Research Networks) through the award of NRN125 grant. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Adhikari, Professor Sondipon |
| Authors: | Pryse, S. E., and Adhikari, S. |
| College/School: | College of Science and Engineering > School of Engineering > Infrastructure and Environment |
| Journal Name: | Probabilistic Engineering Mechanics |
| Publisher: | Elsevier |
| ISSN: | 0266-8920 |
| ISSN (Online): | 1878-4275 |
| Published Online: | 19 July 2021 |
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