“…The aerodynamic equations are placed in discrete form following the upwind total variation diminishing (TVD) scheme of Harten-Yee [24; 25], with a correction for grid-point motion. The discretization, of second-order or ÿrst-order spatial accuracy (depending on parameter selection) and ÿrst-order temporal accuracy, is expressed as [6] (20) where the arraysẼ andF are modiÿed numerical uxes that implement the TVD formulation.…”
Section: Governing Equations and Methods Of Solutionmentioning
confidence: 99%
“…Combining Equations (3) and (6) shows that T = V T V , where = diag( m ) is the diagonal matrix of eigenvalues. If the eigenvectors are normalized so that V T V = I; then this result leads to the deÿnition of orthonormal POD modes,˜ T˜ = I; where˜ = −1=2 : For ÿnite dimensional systems, KL theory and POD computation are united through the singular value decomposition [21] of the snapshot matrix,…”
“…In addition, the snapshot matrix is expanded into a block-diagonal form, where each block corresponds to a given ÿeld variable. It is this matrix that is used in calculating S T S for the eigenvalue problem (6). Denoting the retained set of eigenvectors by V r , the retained set of POD modes is r = SV r (9) and the reduced-order model of the full system is obtained by substituting…”
Section: Taking Snapshots and Computing Unsteady Solutionsmentioning
SUMMARYThe response of a uid moving above a panel to localized oscillation of the panel is predicted using reduced-order modelling (ROM) with the proper orthogonal decomposition technique. The ow is assumed to be inviscid and is modelled with the Euler equations. These non-linear equations are discretized with a total-variation diminishing algorithm and are projected onto an energy-optimal subspace deÿned by an energy-threshold criterion applied to a modal representation of time series data. Results are obtained for a bump oscillating in a Mach 1.2 ow. ROM is found to reduce the degrees of freedom necessary to simulate the owÿeld by three orders of magnitude while preserving solution accuracy. Other observed beneÿts of ROM include increased allowable time step and robustness to variation of oscillation amplitude. Published in
“…The aerodynamic equations are placed in discrete form following the upwind total variation diminishing (TVD) scheme of Harten-Yee [24; 25], with a correction for grid-point motion. The discretization, of second-order or ÿrst-order spatial accuracy (depending on parameter selection) and ÿrst-order temporal accuracy, is expressed as [6] (20) where the arraysẼ andF are modiÿed numerical uxes that implement the TVD formulation.…”
Section: Governing Equations and Methods Of Solutionmentioning
confidence: 99%
“…Combining Equations (3) and (6) shows that T = V T V , where = diag( m ) is the diagonal matrix of eigenvalues. If the eigenvectors are normalized so that V T V = I; then this result leads to the deÿnition of orthonormal POD modes,˜ T˜ = I; where˜ = −1=2 : For ÿnite dimensional systems, KL theory and POD computation are united through the singular value decomposition [21] of the snapshot matrix,…”
“…In addition, the snapshot matrix is expanded into a block-diagonal form, where each block corresponds to a given ÿeld variable. It is this matrix that is used in calculating S T S for the eigenvalue problem (6). Denoting the retained set of eigenvectors by V r , the retained set of POD modes is r = SV r (9) and the reduced-order model of the full system is obtained by substituting…”
Section: Taking Snapshots and Computing Unsteady Solutionsmentioning
SUMMARYThe response of a uid moving above a panel to localized oscillation of the panel is predicted using reduced-order modelling (ROM) with the proper orthogonal decomposition technique. The ow is assumed to be inviscid and is modelled with the Euler equations. These non-linear equations are discretized with a total-variation diminishing algorithm and are projected onto an energy-optimal subspace deÿned by an energy-threshold criterion applied to a modal representation of time series data. Results are obtained for a bump oscillating in a Mach 1.2 ow. ROM is found to reduce the degrees of freedom necessary to simulate the owÿeld by three orders of magnitude while preserving solution accuracy. Other observed beneÿts of ROM include increased allowable time step and robustness to variation of oscillation amplitude. Published in
“…The direct computational procedure BIFAE has been successfully validated against other inviscid methods, including Euler and transonic small-disturbance methods and Beran and Morton (1997)). Validation of BIFAE was also the subject of work by Buxton and Beran (1997).…”
“…To properly capture the effects of aerodynamic nonlinearities on flutter onset, time-integration methods based on the transonic small-disturbance [6], Euler [15], and Navier-Stokes [7,8,21] equations have been developed to simulate the behavior of aeroelastic systems. Direct methods based on Hopf bifurcation theory also have been developed to compute critical flutter onset speeds of the discrete aeroelastic equations without time integration [3,14]. The former class of techniques generally require large computation times due to the time-accurate nature of the calculations and the large integration times required to establish flow stability properties.…”
Proper orthogonal decomposition (POD) based reduced-order modelling is demonstrated to be a weighted residual technique similar to Galerkin's method. Estimates of weighted residuals of neglected modes are used to determine relative importance of neglected modes to the model. The cumulative effects of neglected modes can be used to estimate error in the reduced order model. Thus, once the snapshots have been obtained under prescribed training conditions, the need to perform full-order simulations for comparison is eliminates. This has the potential to allow the analyst to initiate further training when the reduced modes are no longer sufficient to accurately represent the predominant phenomenon of interest. The response of a fluid moving at Mach 1.2 above a panel to a forced localized oscillation of the panel at and away from the training operating conditions is used to demonstrate the evaluation method.
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