摘要
There is a great amount of uncertainties in the whole life cycle of a flight vehicle, which can induce anon-negligible uncertainty in the numerical simulation output, then the model validation of the numerical simulation is the premise of design optimization. Lots of researches on the uncertainty quantification (UQ) of numerical simulation has been carried out. However, literature has rarely seen works about performing scientific model parameter correction by using the results of UQ and establishing a closed-loop procedure of numerical simulation model validation in a systematic way. Therefore, a numerical simulation model validation method by considering uncertainties is proposed, and a model parameter correction approach based on high-quality small samples is developed, and then a closed-loop model validation process composed by uncertainty quantification, global sensitivity analysis, and parameter correction strategy to provide a scientific and systematic procedure for constructing high-fidelity numerical simulations is established. The effectiveness and advantages of the model validation method is verified through airfoil simulation.
| 投稿的翻译标题 | Model validation method by considering uncertainty for numerical simulation |
|---|---|
| 源语言 | 繁体中文 |
| 页(从-至) | 987-995 |
| 页数 | 9 |
| 期刊 | Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University |
| 卷 | 41 |
| 期 | 5 |
| DOI | |
| 出版状态 | 已出版 - 10月 2023 |
关键词
- deep learning
- model validation
- polynomial chaos
- uncertainty quantification
学术指纹
探究 '考虑不确定性的数值模拟模型确认方法' 的科研主题。它们共同构成独一无二的学术指纹。引用此
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