機械学習を用いた周辺ピン支持単層円筒ラチスシェルの等価静的地震荷重の推定

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  • EQUIVALENT STATIC SEISMIC LOADS OF PIN-SUPPORTED SINGLE-LAYER CYLINDRICAL RETICULATED SHELL USING MACHINE LEARNING

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<p>This paper presents a method for calculating the appropriate seismic loads for a single-layer cylindrical reticulated shell using machine learning. The equivalent seismic loads are evaluated by combining the dominant two vibrational modes, and the proposed method predicts the dominant vibration mode. The proposed method consists of three stages: imaging of vibration modes, feature extraction of the image using Variational Autoencoder, and prediction of image features. Machine learning results indicate that the proposed method successfully predicts the first dominant vibration mode 97.3% of the time and the second dominant vibration mode 78.4% of the time in the test data.</p>

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