Design and Experimental Verification of "True Zero-Splice" Acoustic Liners in the Universal Fan Facility Adaptation (UFFA) Modular Rig

Ferrante, Pier Giorgio; Copiello, Diego; Beutke, Matthias

doi:10.2514/6.2011-2728

Cited by 5 publications

(1 citation statement)

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“…To this end, one needs to address some design challenges including but not limited to the choice of acoustic liner material and layer structure. The performance of acoustic liners can be evaluated in experiments by means of ground tests [33] or in dedicated experimental test rigs [11]. Simulation-based optimization on the liner design, however, can dramatically reduce the experimental cost and time.…”

Section: Introductionmentioning

confidence: 99%

Algorithms and analyses for stochastic optimization for turbofan noise reduction using parallel reduced-order modeling

Yang

Gunzburger

2017

Computer Methods in Applied Mechanics and Engineering

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Simulation-based optimization of acoustic liner design in a turbofan engine nacelle for noise reduction purposes can dramatically reduce the cost and time needed for experimental designs. Because uncertainties are inevitable in the design process, a stochastic optimization algorithm is posed based on the conditional value-at-risk measure so that an ideal acoustic liner impedance is determined that is robust in the presence of uncertainties. A parallel reduced-order modeling framework is developed that dramatically improves the computational efficiency of the stochastic optimization solver for a realistic nacelle geometry. The reduced stochastic optimization solver takes less than 500 seconds to execute. In addition, well-posedness and finite element error analyses of the state system and optimization problem are provided.

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Section: Introductionmentioning

confidence: 99%