Coupled aerothermoelastic analysis is required to predict the response of a hypersonic vehicle panel. The required computational effort of the coupled multidisciplinary analysis, interactions between multiple failure modes, and the spatio-temporal variability of the response create significant challenges to the reliability analysis of such structures. To overcome these challenges, this paper presents an adaptive surrogate modeling framework for the reliability analysis of a hypersonic vehicle panel with spatio-temporal variability. The kriging surrogate modeling method in conjunction with singular value decomposition is first employed to emulate the original disciplinary simulation models in a low-dimensional space. Because of the limited computational resources, the initial surrogate models trained with a limited number of multidisciplinary simulations may not accurately represent the original physics models, which results in errors in the reliability analysis of the vehicle panel. A methodology is developed to analyze the effects of surrogate model uncertainty on the results of reliability analysis, and to improve the accuracy of reliability analysis by adaptively allocating the computational resources to individual disciplinary simulations. A computational resource allocation procedure is developed to identify the discipline, the response, and the time instant for which the surrogate model needs improvement and to select the corresponding training inputs. The methodology is illustrated for the reliability assessment of a panel subjected to the failure modes of deformation and overheating.
Reliability Analysis of a Hypersonic Vehicle Panel with Spatio-Temporal Variability
AIAA Journal ; 57 , 12 ; 5403-5415
2019-09-11
13 pages
Article (Journal)
Electronic Resource
English
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