4.6 Article

A space mapping method based on Gaussian process model for variable fidelity metamodeling

期刊

SIMULATION MODELLING PRACTICE AND THEORY
卷 81, 期 -, 页码 64-84

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.simpat.2017.11.010

关键词

Gaussian process model; Simulation-based design; Space mapping; Variable fidelity; Metamodel

资金

  1. National Natural Science Foundation of China (NSFC) [51775203, 51705182, 51505163, 51323009]
  2. National Basic Research Program(973 Program) of China [2014CB046703]
  3. Fundamental Research Funds for the Central Universities, HUST [2016YXMS272]

向作者/读者索取更多资源

Computational simulation models with different fidelities are usually available in the design of engineering products for obtaining the quantity of interest (QOI). To integrate and fully exploit variable fidelity information, a space mapping based variable-fidelity meta-modeling (VFM) approach is developed in this work. Firstly, a Gaussian process (GP) model is constructed for the low-fidelity (LF) model. Secondly, a variable-fidelity metamodel is constructed by taking the predicted information from this GP model as a prior-knowledge of the QOI and directly mapped into the outputs space of the high-fidelity (HF) model. This space mapping process is performed by constructing another GP model. A mathematic example is first adopted for illustrating how the proposed approach works under different sample sizes and sample noises. Then, the proposed approach is applied to two real-life cases, modeling of the maximum stress for the structure of a Small Waterplane Area Twin Hull (SWATH) catamaran and predicting weld geometry in fiber laser keyhole welding, to illustrate its ability in support of complex engineering design. (C) 2017 Elsevier B.V. All rights reserved.

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