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한국항공우주학회지 = Journal of the Korean Society for Aeronautical & Space Sciences, v.50 no.5, 2022년, pp.317 - 323
유승호 (Department of Aerospace Engineering, Jeonbuk National University) , 정인호 (Department of Aerospace Engineering, Jeonbuk National University) , 김혜진 (Department of Aerospace Engineering, Jeonbuk National University) , 조해성 (Future Air Mobility Research Center, Jeonbuk National University) , 김태주 (Korea Aerospace Research Institute) , 기영중 (Korea Aerospace Research Institute)
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In this paper, a deep neural network(DNN) model for predicting the vibration characteristics of the composite rotor blade with c-spar cross section was developed. Herein, the present DNN model is defined by using the natural frequencies obtained through the in-house code based on the nonlinear co-ro...
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