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Machine-Learning-based Prediction Model of the Damage in KURT Granite Considering Various Acoustic Emission Parameters in Laboratory Scale

Hang-Lo Lee, Jin-Seop Kim, Chang-Ho Hong, Dong-Keun Cho
  • 언어ENG
  • URLhttps://db.koreascholar.com/Article/Detail/426063
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한국방사성폐기물학회 학술논문요약집 (Abstracts of Proceedings of the Korean Radioactive Wasts Society)
2021 춘계학술논문요약집 (2021.06)
p.117
한국방사성폐기물학회 (Korean Radioactive Waste Society)
키워드
KURT graniteRock damageMachine-learningAcoustic emission parameterParameter importance
저자
  • Hang-Lo Lee(Korea Atomic Energy Research Institute, 111, Daedeok-daero 989beon-gil, Yuseong gu, Daejeon 34057, Republic of Korea)
  • Jin-Seop Kim(Korea Atomic Energy Research Institute, 111, Daedeok-daero 989beon-gil, Yuseong gu, Daejeon 34057, Republic of Korea)
  • Chang-Ho Hong(Korea Atomic Energy Research Institute, 111, Daedeok-daero 989beon-gil, Yuseong gu, Daejeon 34057, Republic of Korea)
  • Dong-Keun Cho(Korea Atomic Energy Research Institute, 111, Daedeok-daero 989beon-gil, Yuseong gu, Daejeon 34057, Republic of Korea)
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