A non-intrusive algorithm for sensitivity analysis of chaotic flow simulations | Zendy

Patrick Blonigan | Zendy; Qiqi Wang | Zendy; Eric J. Nielsen | Zendy; Boris Diskin | Zendy

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A non-intrusive algorithm for sensitivity analysis of chaotic flow simulations

Author(s) -

Patrick Blonigan,

Qiqi Wang,

Eric J. Nielsen,

Boris Diskin

Publication year - 2017

Publication title -

54th aiaa aerospace sciences meeting

Language(s) - English

Resource type - Conference proceedings

DOI - 10.2514/6.2017-0532

Subject(s) - sensitivity (control systems) , computer science , algorithm , chaotic , flow (mathematics) , artificial intelligence , physics , mechanics , engineering , electronic engineering

We demonstrate a novel algorithm for computing the sensitivity of statistics in chaotic flow simulations to parameter perturbations. The algorithm is non-intrusive but requires exposing an interface. Based on the principle of shadowing in dynamical systems, this algorithm is designed to reduce the effect of the sampling error in computing sensitivity of statistics in chaotic simulations. We compare the effectiveness of this method to that of the conventional finite difference method.

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