同位素2026，Vol.39Issue(1)：32-38,7.DOI:10.7538/tws.2025.youxian.071
基于多保真数据的高速旋转流场代理模型研究
Surrogate Modelling for High-speed Rotating Flow Fields Based on Multi-fidelity Data Fusion
摘要
Abstract
High-speed rotating flow fields play a pivotal role in the mechanical systems used for stable heavy isotopes.The high dimensional design space of such complex rotating machinery is characterized by strong nonlinearity and substantial parameter coupling.To efficiently design the system and optimize its performance,it incurs considerable time and economic costs when relying solely on large volumes of high-fidelity experimental data.A common way to reduce the cost is by introducing low-fidelity numerical simulations as complementary information.To address the problem of constructing a mapping from a complex,high-dimensional design space to low-dimensional performance indicators under sparse experimental data,this study proposes a multi-fidelity information fusion framework.Firstly,we employ Latin hypercube sampling to uniformly explore the design space of a high-speed rotating flow system via low-fidelity simulations.Thousands of low-fidelity numerical simulations were performed,and the resulting high-dimensional,dimensionless design parameters were used to develop a Bayesian neural network based on low-fidelity datasets.Building upon this machine learnt model,a Gaussian process regression scheme was incorporated to establish a multi-fidelity surrogate model.Results demonstrate that the proposed surrogate achieves absolute mean percentage deviations within 6%for two primary performance metrics significantly lower than the prediction errors of numerical simulation and well within accepted engineering tolerances.These evidences confirm the effectiveness and applicability of the proposed multi-fidelity modeling framework for high speed rotating flow fields.关键词
同位素/贝叶斯神经网络/高斯过程回归/代理模型Key words
isotope/bayesian neural networks/gaussian process regression/surrogate models分类
能源科技引用本文复制引用
徐晓伟,顾志勇,吴文娟,田松杰..基于多保真数据的高速旋转流场代理模型研究[J].同位素,2026,39(1):32-38,7.基金项目
中国原子能工业公司燎原项目(YZNLY-2481) （YZNLY-2481）
中核集团公司研发平台稳定支持项目(GZ-JTWZ-2024-05) （GZ-JTWZ-2024-05）
