• Title/Summary/Keyword: 구배 보강 가우스 과정

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Application of Gradient-Enhanced Kriging to Aerodynamic Coefficients Modeling With Physical Gradient Information (물리적 구배 정보를 이용한 공력계수 모형화를 위한 GE 크리깅의 적용)

  • Kang, Shinseong;Lee, Kyunghoon
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.48 no.3
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    • pp.175-185
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    • 2020
  • The six-DOF aerodynamic coefficients of a missile entail inherent physical gradient constraints originated from the geometric characteristics of a cylindrical fuselage. To effectively adopt the freely available gradient information in aerodynamic coefficients modeling, this research employed gradient-enhanced (GE) Gaussian process. To investigate the accuracy of aerodynamic coefficients predicted with gradients information, we compared two Gaussian-process-based models: ordinary and GE Gaussian process models with and without gradient information, respectively. As a result, we found that GE Gaussian process models were able to comply with imposed gradient information and more accurate than ordinary Gaussian process models. However, we also found that GE Gaussian process modeling cannot handle gradient information continuously and ends up with more samples due to additional gradient information.