Article2011

Robust Design Optimization of Gas Turbine Compression Systems

Tiziano Ghisu · Geoffrey Thomas Parks · Jerome P. Jarrett · P. John Clarkson

46 citations0/0 files storedJournal of Propulsion and Power

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Probabilistic and Robust Engineering Design Turbomachinery Performance and Optimization Aerospace Engineering and Applications

Abstract

Gas turbine compression systems are required to perform adequately over a range of operating conditions. Complexity has encouraged the conventional design process for compressors to focus initially on one operating point, usually the most commonor arduous, to draw up an outline design. Generally, only as this initial design is refined is its offdesign performance assessed in detail. Not only does this necessarily introduce a potentially costly and timeconsuming extra loop in the design process, but it also may result in a design whose offdesign behavior is suboptimal. Aversion of nonintrusive polynomial chaos was previously developed in which a set of orthonormal polynomials was generated to facilitate a rapid analysis of robustness in the presence of generic uncertainties with good accuracy. In this paper, this analysis method is incorporated in real time into the design process for the compression system of a three-shaft gas turbine aeroengine. This approach to robust optimization is shown to lead to designs that exhibit consistently improved system performance with reduced sensitivity to offdesign operation.

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References

1991Stochastic Finite Elements: A Spectral Approach 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations 1991Quality Engineering Using Robust Design 1989Taguchi Techniques for Quality Engineering 2007A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data 2008A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data 2002A Stochastic Projection Method for Fluid Flow 1991Quality Engineering Using Robust Design

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