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    Reduced Order Modeling of the Unsteady Pressure on Turbine Rotor Blades Using Deep Learning 

    Source: Journal of Turbomachinery:;2026:;volume( 148 ):;issue:002:;page 1
    Author(s): Dominique, Joachim; Salesses, Lionel; Thomas, Jean-François; Baert, Lieven; Benamara, Tariq; Mastrippolito, Franck; Flament, Théo
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. In transonic turbine stages, complex interactions between the trailing edge shocks from nozzle guide vanes and the rotor blades generate unsteady wall pressure fields, affecting the rotor aerodynamic performance ...
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    Aerodynamic Optimization of the Low-Pressure Turbine Module: Exploiting Surrogate Models in a High-Dimensional Design Space 

    Source: Journal of Turbomachinery:;2020:;volume( 142 ):;issue: 003
    Author(s): Baert, Lieven; Chérière, Emmanuel; Sainvitu, Caroline; Lepot, Ingrid; Nouvellon, Arnaud; Leonardon, Vincent
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Further improvement of state-of-the-art low-pressure (LP) turbines (LPTs) has become progressively more challenging. LP design is more than ever confronted to the need to further integrate complex models and to shift from ...
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