Abstract
The accuracy and efficiency of uncertainty analysis, as well as its trust computing, have key influences on the reliability optimization results, so the research on uncertainty analysis method is particularly important. Although the traditional Monte Carlo method can ensure the accuracy of optimization, it takes too long time, which limits its potential application on engineering. High precision uncertainty analysis and optimization design based directly on the simulation model are usually faced with large amount of calculation problem, and tend to have different accuracy in aircraft design and calculation of simulation analysis model (such as different aerodynamic analysis model of grid density). To guarantee the reliability, trust computing is necessary. Making full use of the integration of these models, as well as reducing the number of calls for high precision model, is one of the effective ways to improve the efficiency of aircraft design. In this paper, the uncertainty analysis method based on PC theory is adopted to optimize the airfoil reliability, which greatly reduces the calculation time and improves the efficiency of optimal design while maintaining the accuracy.
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Miao, L., Lei, W., Chao, X. (2021). Reliability Optimization and Trust Computing of Composite Wing Based on Sparse PC Method. In: Cheng, J., Tang, X., Liu, X. (eds) Cyberspace Safety and Security. CSS 2020. Lecture Notes in Computer Science(), vol 12653. Springer, Cham. https://doi.org/10.1007/978-3-030-73671-2_6
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DOI: https://doi.org/10.1007/978-3-030-73671-2_6
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