2015
DOI: 10.1016/j.cja.2015.06.024
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A reduced order aerothermodynamic modeling framework for hypersonic vehicles based on surrogate and POD

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Cited by 39 publications
(21 citation statements)
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“…Capra et al [180] used the iterative algorithm to conduct a structural coupling of flow field, convective heat transfer, and wall temperature based on two-dimensional and three-dimensional models, which is likely to be applied to wall heat transfer in the combustion chamber of ramjets. Chen also proposed an aerodynamic modeling approach with less orders based on surrogate [181]. However, no study has been carried out on the correlation between this theory and relevant dynamical system models.…”
Section: Thermal Protection Systemsmentioning
confidence: 99%
“…Capra et al [180] used the iterative algorithm to conduct a structural coupling of flow field, convective heat transfer, and wall temperature based on two-dimensional and three-dimensional models, which is likely to be applied to wall heat transfer in the combustion chamber of ramjets. Chen also proposed an aerodynamic modeling approach with less orders based on surrogate [181]. However, no study has been carried out on the correlation between this theory and relevant dynamical system models.…”
Section: Thermal Protection Systemsmentioning
confidence: 99%
“…The POD is a spectral method that depends on the discrete physical space and collects the snapshots of the full-order solution that correspond to a specific input to calculate an orthogonal basis. 13 The biggest advantage of POD is that it can exploit a limited number of modes to accurately represent the full-order system compared with other reduced-basis methods. 14 Bialecki et al.…”
Section: Introductionmentioning
confidence: 99%
“…The POD is a spectral method that depends on the discrete physical space and collects the snapshots of the full-order solution that correspond to a specific input to calculate an orthogonal basis. 13 The biggest advantage of POD is that it can exploit a limited number of modes to accurately represent the fullorder system compared with other reduced-basis methods. 14 Bialecki et al 15,16 applied POD to reduce the order of linear thermal conductive systems with time-independent and time-varying loading, respectively, thereby showing that the low-order surrogate model can describe the original system.…”
Section: Introductionmentioning
confidence: 99%
“…An alternative approach is to use reduced-order models (ROMs) [10][11][12] that are derived from high-fidelity analysis tools. Chen et al [13] provided a computationally efficient and accurate ROM framework based on surrogate and proper orthogonal decomposition (POD) for incorporating aerodynamic heating into a coupled aerothermoelastic analysis. Based on the basis augmentation and surrogate modeling techniques, Falkiewicz and Cesnik [14] proposed a reduced-order aerothermoelastic simulation framework to improve the computational efficiency.…”
Section: Introductionmentioning
confidence: 99%