A radial basis function-based multi-fidelity surrogate model: exploring correlation between high-fidelity and low-fidelity models
Sign Up to like & getrecommendations! Published in 2019 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-019-02248-0
Abstract: In computational simulation, a high-fidelity (HF) model is generally more accurate than a low-fidelity (LF) model, while the latter is generally more computationally efficient than the former. To take advantages of both HF and LF… read more here.
Keywords: fidelity surrogate; basis function; mfs rbf; model ... See more keywords
Enhanced variable-fidelity surrogate-based optimization framework by Gaussian process regression and fuzzy clustering
Sign Up to like & getrecommendations! Published in 2020 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2020.113045
Abstract: Abstract In order to improve the global optimizing ability of surrogate-based optimizations, an enhanced variable-fidelity surrogate model (VFSM) optimization framework is developed based on the Gaussian process regression algorithm and the fuzzy clustering algorithm, which… read more here.
Keywords: process regression; fidelity; optimization; gaussian process ... See more keywords
Fast transport simulations with higher-fidelity surrogate models for ITER
Sign Up to like & getrecommendations! Published in 2023 at "Physics of Plasmas"
DOI: 10.1063/5.0136752
Abstract: A fast and accurate turbulence transport model based on quasilinear gyrokinetics is developed. The model consists of a set of neural networks trained on a bespoke quasilinear GENE dataset, with a saturation rule calibrated to… read more here.
Keywords: fidelity surrogate; fast transport; higher fidelity; transport ... See more keywords
Multi-Fidelity Surrogate-Based Process Mapping with Uncertainty Quantification in Laser Directed Energy Deposition
Sign Up to like & getrecommendations! Published in 2022 at "Materials"
DOI: 10.3390/ma15082902
Abstract: A multi-fidelity (MF) surrogate involving Gaussian processes (GPs) is used for designing temporal process maps in laser directed energy deposition (L-DED) additive manufacturing (AM). Process maps are used to establish relationships between the melt pool… read more here.
Keywords: multi fidelity; fidelity surrogate; fidelity; process maps ... See more keywords