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Bridge Damage Identification Based on Bridge Finite Element Model and Transformer
Because the traditional bridge monitoring lacks the accurate identification of the health status of the bridge, and lacks the measured data of the bridge in the health state, it is difficult to locate the damage in a group of bridges. Aiming at this problem, a bridge damage identification method based on transformer and bridge finite element model is proposed. This method uses the neural network model of self-attention mechanism, based on the measured data of a Yellow River bridge in Gansu Province and the damage data generated by the finite element model of the bridge to determine the sensitive features, construct the training sample set, and establish the transformer intelligent model. The neural network model is used to identify the damage of the bridge and locate the damage location. In order to verify the accuracy of the proposed method, a real bridge is selected as the research object to identify the static response of the bridge structure. The identification results obtained are consistent with the measured results of the bridge, which proves the feasibility of the proposed method.
Bridge Damage Identification Based on Bridge Finite Element Model and Transformer
Because the traditional bridge monitoring lacks the accurate identification of the health status of the bridge, and lacks the measured data of the bridge in the health state, it is difficult to locate the damage in a group of bridges. Aiming at this problem, a bridge damage identification method based on transformer and bridge finite element model is proposed. This method uses the neural network model of self-attention mechanism, based on the measured data of a Yellow River bridge in Gansu Province and the damage data generated by the finite element model of the bridge to determine the sensitive features, construct the training sample set, and establish the transformer intelligent model. The neural network model is used to identify the damage of the bridge and locate the damage location. In order to verify the accuracy of the proposed method, a real bridge is selected as the research object to identify the static response of the bridge structure. The identification results obtained are consistent with the measured results of the bridge, which proves the feasibility of the proposed method.
Bridge Damage Identification Based on Bridge Finite Element Model and Transformer
Meng, Yuyu (author) / Chen, Feng (author) / Huo, Jiuyuan (author)
2024-07-19
2084240 byte
Conference paper
Electronic Resource
English
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