AEROELASTIC LOADS PREDICTIONS USING CFD-BASED REDUCED ORDER MODELS

Philipp Bekemeyer, Tobias Wunderlich, Stefan Gortz, Sascha Dahne

DOI Number: N/A

Conference number: IFASD-2019-105

Aircraft loads analysis is an inherently multidisciplinary process since aerodynamic forces, structural deformations and their correlations need to be accounted for. When increasing the ﬁdelity of underlying mono-disciplinary models, such as using computational ﬂuid dynamics for aerodynamic forces, the coupled ﬂuid-structure analysis becomes an increasingly costly process and ultimately limits the applicability within design and optimization. Reduced order models offer an approach to signiﬁcantly decrease the computational cost needed while retaining the ﬁdelity of the underlying model. This work proposes a reduced order aerodynamic model which can be coupled with varying structural models rather than developing a reduced order aeroelastic model for a ﬁxed aerodynamic and structural model. This enables generating the model without an actual structural model being present and therefore allows the analysis of different structural models of interest without recomputing the aerodynamic model. First, sampling data is computed using computational ﬂuid dynamics based on a few synthetic mode shapes. Second, a proper orthogonal decomposition-based reduced order model is derived for surface deformations and forces. Finally, a least-squares ﬁt for surface deformations given from the current structural model of interest is performed to ﬁnd proper orthogonal decomposition coefﬁcients while the overall vertical force is constrained to ensure that trimming conditions are met. Results are presented for the LANN wing at transonic ﬂow conditions and a longrange wing-body conﬁguration. While for the former different synthetic modes are applied and the generality of the method is demonstrated by signiﬁcantly altering the stiffness of the structural model, for the latter case a structural optimization is performed within each coupling step to highlight the adaptivity of the proposed method. Troughout accurate results are predicted showing only minor deviations for resulting surface force, elastic dispacements and optimized surface thicknesses.

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Aeroelastic Model Reduction, Computational Fluid Dynamics, Large Transport Aircraft, Synthetic Modes

In Categories: IFASD 2019, Reduced Order Models

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