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    A Single Formulation for Uncertainty Propagation in Turbomachinery: SAMBA PC 

    Source: Journal of Turbomachinery:;2017:;volume( 139 ):;issue: 011:;page 111007
    Author(s): Ahlfeld, Richard; Montomoli, Francesco
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This work newly proposes an uncertainty quantification (UQ) method named sparse approximation of moment-based arbitrary polynomial chaos (SAMBA PC) that offers a single solution to many current problems in turbomachinery ...
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    Autonomous Uncertainty Quantification for Discontinuous Models Using Multivariate Padé Approximations 

    Source: Journal of Turbomachinery:;2018:;volume 140:;issue 004:;page 41004
    Author(s): Ahlfeld, Richard; Montomoli, Francesco; Carnevale, Mauro; Salvadori, Simone
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Problems in turbomachinery computational fluid dynamics (CFD) are often characterized by nonlinear and discontinuous responses. Ensuring the reliability of uncertainty quantification (UQ) codes in such conditions, in an ...
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    Uncertainty Quantification of Leakages in a Multistage Simulation and Comparison With Experiments 

    Source: Journal of Fluids Engineering:;2018:;volume( 140 ):;issue: 002:;page 21110
    Author(s): Maria Mazzoni, Cosimo; Ahlfeld, Richard; Rosic, Budimir; Montomoli, Francesco
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a numerical study of the impact of tip gap uncertainties in a multistage turbine. It is well known that the rotor gap can change the gas turbine efficiency, but the impact of the random variation of the ...
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