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Math @ Duke
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Publications [#350043] of Wilkins Aquino
Papers Published
- Sarkar, S; Warner, JE; Aquino, W; Grigoriu, MD, Stochastic reduced order models for uncertainty quantification of intergranular corrosion rates,
Corrosion Science, vol. 80
(March, 2014),
pp. 257-268 [doi]
(last updated on 2025/12/31)
Abstract: We present a stochastic reduced order model (SROM) approach for quantifying uncertainty in systems undergoing corrosion. A SROM is a simple random element with a small number of samples that approximates the statistics of another target random element. The parameters of a SROM are selected through an optimization problem. SROMs can be used to propagate uncertainty through a mathematical model of a corroding system in the same way as in Monte Carlo methods. We use SROMs to estimate the statistics of corrosion current density, considering randomness in anode-cathode sizes. We compare the performance of SROMs against the more common Monte-Carlo approach. © 2013 Elsevier Ltd.
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