S. Xu, S. Timme, K. J. Badcock
DOI Number: N/A
Conference number: IFASD-2015-186
The major computational challenge, when using frequency domain linearised computational fluid dynamics in the analysis of aeroelastic problems such as aircraft flutter, gust response or shock buffet, are the excessive memory and CPU time requirements to solve the large sparse linear systems of equations. To address these issues found with the generalised minimal residual linear equation solver currently used in the DLR–TAU code, the generalised conjugate residual solver with deflated restarting is adopted. Here an invariant Krylov subspace is recycled both between restarts when solving a single linear frequency domain problem and for a sequence of equations when varying the system matrix and forcing terms. The proposed method is applied to three test cases including the forced excitation of a pitch-plunge aerofoil, the fast prediction of shock buffet onset for an aerofoil using global stability analysis and the computation of a reduced order model basis for a realistic passenger aircraft. The memory requirements for the problems investigated are reduced by up to an order of magnitude, while the CPU times are reduced by up to a factor of three.